<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.4 20241031//EN" "JATS-journalpublishing1-4.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.4" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">Oalib</journal-id>
      <journal-title-group>
        <journal-title>Open Access Library Journal</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2333-9721</issn>
      <issn pub-type="ppub">2333-9705</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/oalib.1112768</article-id>
      <article-id pub-id-type="publisher-id">Oalib-149406</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
          <subject>Business</subject>
          <subject>Economics</subject>
          <subject>Chemistry</subject>
          <subject>Materials Science</subject>
          <subject>Computer Science</subject>
          <subject>Communications</subject>
          <subject>Earth</subject>
          <subject>Environmental Sciences</subject>
          <subject>Engineering</subject>
          <subject>Medicine</subject>
          <subject>Healthcare</subject>
          <subject>Physics</subject>
          <subject>Mathematics</subject>
          <subject>Social Sciences</subject>
          <subject>Humanities</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Growth, Development and Yield of Component Crops in a Maize-Cowpea Intercrop System in the Sudan Savannah Zone in Ghana</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Akologo</surname>
            <given-names>Listowell Aditwin</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Dapaah</surname>
            <given-names>Harrison Kwame</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Essifie</surname>
            <given-names>Margaret Esi</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Yirzagla</surname>
            <given-names>Julius</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Asibi</surname>
            <given-names>Emmanuel Aziiba</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Gbewaa College of Education, Pusiga, Ghana </aff>
      <aff id="aff2"><label>2</label> Mampong Campus, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Mampong, Ghana </aff>
      <aff id="aff3"><label>3</label> CSIR-SARI, Nyankapla, Ghana </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>02</day>
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <volume>13</volume>
      <issue>02</issue>
      <fpage>1</fpage>
      <lpage>23</lpage>
      <history>
        <date date-type="received">
          <day>04</day>
          <month>12</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>02</day>
          <month>02</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>05</day>
          <month>02</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/oalib.1112768">https://doi.org/10.4236/oalib.1112768</self-uri>
      <abstract>
        <p>A maize-cowpea intercrop multi-location study was conducted at the experimental fields of the Council for Scientific and Industrial Research-Savannah Agricultural Research Institute (CSIR-SARI) at Manga, Binduri District and at the Presbyterian Agricultural Station (PAS) at Garu, in the Garu District from July to October 2021 and 2022 cropping seasons. The objective of the study was to determine the influence of a maize-cowpea intercrop system on the growth, development and yield of maize and cowpea in a multi-location trial as a climate-smart agriculture innovation to increase crop productivity in the Sudan Savannah Agro-Ecological zone in Ghana. The study was a 3 × 3 factorial experiment laid out in a Randomized Complete Block Design (RCBD) with four replications. The factors studied were (A) Row arrangements: [(i)1 row maize altenating with 1 row cowpea (1M:1C), (ii) 2 rows maize altenating with 2 rows cowpea (2M:2C) and (iii) 3 rows maize alternating with 3 rows cowpea (3M:3C)] and (B) Relative times of planting: [(i)Simultaneous planting of maize and cowpea (SIM), (ii) maize planted 2 weeks before cowpea (M2WBC) and cowpea planted 2 weeks before maize (C2WBM)]. Sole maize and sole cowpea crops were included in the treatments. The intercropping systems largely enhanced phenological and growth variables of the component crops. Generally, the yields of both maize and cowpea were significantly higher than the yields of sole maize and cowpea at both Garu and Manga in 2021 and 2022. The simultaneous planting at 2M:2C produced the highest maize yield of 13.33 t/ha while the lowest grain yield (1.40 t/ha) of maize came from Manga in 2021. However, the highest cowpea yield was obtained when cowpea was planted 2 WBM at 1M:1C (3.79 t/ha). It is recommended that farmers with priority for maize yields could adopt planting the two crops simultaneously at 2M:2C row arrangement for maximum maize yields and farmers with priority for cowpea yields could adopt planting cowpea 2 weeks before maize at 1M:1C to maximize cowpea yields.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Agro-Ecological</kwd>
        <kwd>Ecosystem Services</kwd>
        <kwd>Phenological Development</kwd>
        <kwd>Component Crops</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Background</title>
      <p>Maize (<italic>Zea mays</italic> L.) is a major staple cereal crop that provides energy for millions of the global population, particularly in Africa and Asia, where it is a major contributor to global food security [<xref ref-type="bibr" rid="B1">1</xref>]. It is a major cereal crop grown in Ghana, contributing to about 50% - 60% human and animal feed and thrives well in all the agro-ecological zones in the country. It is high-yielding, hence contributes largely to food security in poor communities to ameliorate the impact of climate change on crop productivity and production [<xref ref-type="bibr" rid="B2">2</xref>]. The crop is compatible with leguminous crops in both tropical and temperate regions and provides relatively high productivity per unit area, adaptable to major agro-ecologies, and easily used in traditional food preparations. It is a food security crop with short maturation that is used to reduce hunger, particularly in the Savannah Regions of Ghana. It also supports biodiversity conservation and improves soil health for agricultural activities [<xref ref-type="bibr" rid="B3">3</xref>][<xref ref-type="bibr" rid="B4">4</xref>].</p>
      <p>Cowpea (<italic>Vigna unguiculata</italic>) is a shade-tolerant leguminous crop that is compatible in intercropping systems with cereal crops such as maize (<italic>Zea mays</italic>L.), millet (<italic>Pennisetum glaucum</italic>L.) and sorghum (<italic>Sorghum bicolor</italic>L. Moench) [<xref ref-type="bibr" rid="B4">4</xref>]. Apart from its high protein content, cowpea contains essential food nutrients such as fat and oils and hence its consumption is recommended for the reduction of household malnutrition in poorer communities. It is also consumed as a leafy vegetable in many parts of the world.</p>
      <p>Maize and cowpea production is currently challenged by poor yields due to climate change, poor agricultural practices and unfavourable climatic conditions, necessitating the need for resilient or regenerative agricultural practices such as intercropping. To increase crop yields, farmers must innovate through ecological intensification to boost production and increase resilience to weather extremes. Intercropping can strengthen and stabilize agro-ecosystems under climate change by improving resource use efficiency, enhancing soil water holding capacity and increasing the diversity [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>]. It involves both conservation and sustainable agricultural practices for increased crop resilience and yields.</p>
      <p>There are declining crop yields of maize and other arable crops such as cowpea in the Guinea and Sudan Savannah Ecological zones in Ghana, largely due to inconsistent rainfall patterns and ever increasing temperatures. Smallholder farmers in the Savannah areas in Ghana, practise mostly cereal-legume intercropping to mitigate risks of crop failure in the over-dominant mono-cropping systems [<xref ref-type="bibr" rid="B4">4</xref>]. The phenomenon of depleting factors of production requires the use of improved farming systems, innovative production technologies, climate-smart agricultural techniques and improved planting materials such as seeds to ensure increased crop productivity, resilience and sustainability. The prevailing climatic conditions and the purpose of production in any given area determine the cropping systems adopted.</p>
      <p>To ameliorate the impact of declining soil fertility and impact of climate change, intercropping can be adopted to increase productivity and improve farmers’ livelihood due to increased incomes from sale of produce. According to [<xref ref-type="bibr" rid="B7">7</xref>][<xref ref-type="bibr" rid="B8">8</xref>] increased agricultural productivity and incomes can reduce rural poverty among vulnerable people.</p>
      <p>The objective of the study was therefore to examine the influence of a maize-cowpea intercrop system on the growth, development and yield of component crops in the Sudan Savannah Agro-Ecological zone of Ghana.</p>
    </sec>
    <sec id="sec2">
      <title>2. Materials and Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Experimental Site</title>
        <p>The study was conducted in the Sudan Savannah Ecological Zone in the Upper East Region in Ghana, at CSIR-SARI station at Manga and the Presbyterian Agricultural Station (PAS), at Garu. The study was carried out at both locations from July to October, 2021 for the first year and from July to October, 2022 for the second year. Binduri District is located approximately between latitudes 11˚11′S and 10˚40′N and longitudes 0˚18′W and 0˚6′E in the North-Eastern corner of the Upper East Region. The second location, PAS, Garu District, is located in the north-eastern part of the Upper East Region between Latitude 10˚1′N and Longitude 0˚1′W.</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Soil Analysis and Climatic Conditions</title>
        <p>Initial soil (0 cm - 30 cm depth) at Garu indicated soil chemical properties of pH 5.7. It contained major nutrients of N (0.02 mg/kg), P (1.5 mg/kg) and K (22.2 mg/kg). The minor nutrients were Ca<sup>2+</sup> (0.8 cmol/kg) and Mg<sup>2+</sup> (0.7 cmol/kg) with OC (0.5). The loamy sand contained sand (80.2%), clay (9.6%) and silt (10.2%) (<bold>Table 1</bold>). Similarly, initial soil analysis at Manga indicated soil chemical properties of pH 5.6. It also contained major nutrients of N (0.03 mg/kg), P (1.4 mg/kg) and K (24 mg/kg). The minor nutrients possessed were Ca<sup>2+</sup> (0.9 cmol/kg) and Mg<sup>2+</sup> (0.7 cmol/kg) with OC (0.5 mg/kg). The loamy sand contained sand (83.9%), clay (6.4%) and silt (9.7%) (<bold>Table 2</bold>).</p>
        <p>Generally, the initial soil analysis for both Garu and Manga showed the soils were slightly acidic and that the nutrient level were low phosphorus, nitrogen and manganese. However, the initial soil analysis indicated that soil from both locations had medium organic carbon and potassium (CSIR-SARI, 2007). The soil belongs to the Varempare Series, which are mainly sandy loams associated with hornblende and granites, while the PAS soils belong to the Tafali Series, which is also suitable for the cultivation legumes, cereals and vegetables. The climate of both locations is characterised by a unimodal rainy season from May /June to October and a dry harmattan season from November to April. The average amount of rainfall during the period is between 800 - 860 mm per annum. The vegetation is mainly the Sudan Savannah Ecology.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Experimental Design and Treatments</title>
        <p>The experimental design used for the study was a 3 × 3 factorial arranged in a Randomized Complete Block Design (RCBD) with 4 replications. The treatments consisted (A) row arrangements [(i) 1 row maize altenating with 1 row cowpea (1M:1C), (ii) 2 rows maize altenating with 2 rows cowpea (2M:2C) and (iii) 3 rows maize altenating with 3 rows cowpea (3M:3C)] and (B) relative times of planting [(i) Simultaneous planting of maize and cowpea (SIM), (ii) maize planted 2 weeks before cowpea (M2WBC) and (iii) cowpea planted 2 weeks before maize (C2WBM)]. Sole maize and sole cowpea crops were added for comparison, bringing the total number of treatments to eleven (11). Maize seeds were planted at 0.75 m × 0.4 m, while the cowpea seeds were planted 0.75 m × 0.2 m. Each plot consisted of 4 sets of the intercrops for the 1M:1C and 3 sets of intercrops for the 2M:2C and 3M:3C. The central two sets of the intercrops for 1M:1C and 1 set of intercrops for 2M:2C and 3M:3C served as the harvestable areas for the final yield and yield components assessment. The sole maize and cowpea plots were planted with 6 rows per plot. Row length was 5 m. The 2 central rows of the sole maize and cowpea served as harvestable rows. Improved medium-maturing maize variety (Wangdataa) and improved medium-maturing cowpea variety (Wangkae) were sourced from Manga.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Crop Management and Cultural Practices</title>
        <p>The experimental fields at both locations were ploughed with a tractor and an animal-drawn mould board plough used in ridging. Ridges formed measured 0.75 m apart. Planting of maize and cowpea was done with hoes. The crops were planted 3 seeds per hill and later thinned to two plants per hill when plants were established. The sole maize and cowpea were planted when component crops were planted simultaneously. Manual weeding was done when necessary, till component crops were harvested. Basal application of Nitrogen Phosphorus Potassium (NPK) was applied to the maize crop at the rate of 68 kg N, 38 kg P<sub>2</sub>O<sub>5</sub> and 38 K<sub>2</sub>O at 14 DAP and top-dressed with urea at 65.2 kg ha<sup>−</sup><sup>1</sup> at 50 DAP.</p>
        <p>Inoxacarb (30 g/L and Acetamiprid (16 g/L), a systemic insecticide against armyworm and a wide spectrum of pests on maize and vegetables were used. The Viper 46 EC (0.4 L/Acre), equivalent to 40 mL/15L of water and (Inoxacarb, 30 g/L and Acetamiprid, 16 g/L) were sprayed. The spraying was carried out on both maize and cowpea plots across both locations and seasons. Generally, high farm hygiene was maintained to ensure maximum productivity.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results and Discussion</title>
      <sec id="sec3dot1">
        <title>3.1. Growth Variables of Maize</title>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId15.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 1</bold><bold>.</bold> Plant height of maize as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
        <p>Generally, plant height, total dry matter, leave area index, photosynthetically active radiation and chlorophyll content were significantly (p &lt; 0.05) affected by row arrangement, relative times of planting, location and year with significant interactions. Positive interaction of the simultaneously planted component crops also promoted the effective utilization of growth resources that affected its growth and development. According to [<xref ref-type="bibr" rid="B9">9</xref>], increased plant height provides more green area for increased photosynthetic activities, absorption and translocation of assimilates needed for effective grain filling to obtain higher yields. According to [<xref ref-type="bibr" rid="B10">10</xref>], maize is very sensitive to the spatial arrangement of the intercropping of component crops. The row arrangement automatically spaced the maize plants, hence less competition for radiation was experienced resulting in homogeneous maize height at early stages [<xref ref-type="bibr" rid="B11">11</xref>]. Significant differences and interactions were recorded due to available radiation [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B13">13</xref>]. Maize-cowpea intercropping influenced the maize photosynthetic rate and chlorophyll accumulation due to the complementarity effect of ecosystem services from cowpea to maize. Photosynthetic variables indicated high performance indicating that intercropping can significantly improve the photosynthetic rate and chlorophyll accumulation of maize plants [<xref ref-type="bibr" rid="B3">3</xref>][<xref ref-type="bibr" rid="B14">14</xref>]-[<xref ref-type="bibr" rid="B16">16</xref>]. Dry matter (DM) accumulation and its allocation to kernels are key factors that determine the final maize grain yield [<xref ref-type="bibr" rid="B17">17</xref>] (<xref ref-type="fig" rid="fig1">Figure 1</xref><xref ref-type="fig" rid="fig1">Figures 1-5</xref>).</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId16.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 2</bold><bold>.</bold> Leaf area index of maize as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
        <fig id="fig3">
          <label>Figure 3</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId17.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 3</bold><bold>.</bold> Absorbed Photosynthetically Active Radiation by maize as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
        <fig id="fig4">
          <label>Figure 4</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId18.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 4</bold><bold>.</bold> Chlorophyll content of maize leaves as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
        <fig id="fig5">
          <label>Figure 5</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId19.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 5</bold><bold>.</bold> Total Dry Matter of maize as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Development of Maize</title>
        <p>The combined analysis of maize across the two locations and years indicated that relative times of planting (RTP) and row arrangement (RA) significantly influenced the phenological development of maize. A higher plant establishment, early tasseling and silking are determined good maize yield. These phenological parameters were obtained due to favourable environmental conditions. However, maize tasselling significantly differed (p &lt; 0.05) between the seasons in the first year with maize tasseling earlier (52 days) than the second season (53 days). This was due to the different environmental conditions experienced at both experimental sites. Favourable climatic conditions experienced at both locations during the study influenced phenological development [<xref ref-type="bibr" rid="B13">13</xref>][<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B19">19</xref>] (<bold>Table 1</bold> and <bold>Table 2</bold>).</p>
        <p><bold>Table 1</bold><bold>.</bold> Days to 50% tasselling of maize as affected by row arrangement and relative times of planting at Garu and Manga in 2021 and 2022.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2" rowspan="2">Cropping systems</td>
                <td colspan="7">Days to 50% Tasselling</td>
              </tr>
              <tr>
                <td colspan="3">Garu</td>
                <td colspan="3">Manga</td>
              </tr>
              <tr>
                <td>Row arrangement (RA)</td>
                <td>Relative times of planting (RTP)</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
              </tr>
              <tr>
                <td rowspan="3">1M:1C†</td>
                <td>M2WBC#</td>
                <td>53</td>
                <td>55</td>
                <td>54</td>
                <td>53</td>
                <td>50</td>
                <td>52</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>51</td>
                <td>55</td>
                <td>53</td>
                <td>51</td>
                <td>55</td>
                <td>53</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>46</td>
                <td>48</td>
                <td>47</td>
                <td>52</td>
                <td>54</td>
                <td>53</td>
              </tr>
              <tr>
                <td rowspan="3">2M:2C</td>
                <td>M2WBC</td>
                <td>54</td>
                <td>55</td>
                <td>55</td>
                <td>54</td>
                <td>53</td>
                <td>54</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>51</td>
                <td>55</td>
                <td>53</td>
                <td>51</td>
                <td>53</td>
                <td>52</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>46</td>
                <td>48</td>
                <td>47</td>
                <td>51</td>
                <td>54</td>
                <td>53</td>
              </tr>
              <tr>
                <td rowspan="3">3M:3C</td>
                <td>M2WBC</td>
                <td>50</td>
                <td>55</td>
                <td>53</td>
                <td>50</td>
                <td>50</td>
                <td>50</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>52</td>
                <td>55</td>
                <td>54</td>
                <td>51</td>
                <td>55</td>
                <td>53</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>46</td>
                <td>49</td>
                <td>48</td>
                <td>51</td>
                <td>53</td>
                <td>52</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>
                </td>
                <td>50</td>
                <td>53</td>
                <td>
                </td>
                <td>52</td>
                <td>53</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Sole maize</td>
                <td>
                </td>
                <td>50</td>
                <td>55</td>
                <td>53</td>
                <td>50</td>
                <td>53</td>
                <td>53</td>
              </tr>
              <tr>
                <td>RA</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.5513</td>
                <td colspan="3">HSD = NSp = 0.4766</td>
              </tr>
              <tr>
                <td>RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = 1.058p &lt; 0.0001</td>
                <td colspan="3">HSD = NSp = 0.4143</td>
              </tr>
              <tr>
                <td>Year</td>
                <td>
                </td>
                <td colspan="3">HSD = 0.718p &lt; 0.0001</td>
                <td colspan="3">HSD = 1.191p = 0.0207</td>
              </tr>
              <tr>
                <td>
                  <underline>Interactions</underline>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>RA × RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.1405</td>
                <td colspan="3">HSD = NSp = 0.0885</td>
              </tr>
              <tr>
                <td>RA × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.2623</td>
                <td colspan="3">HSD = NSp = 0.7260</td>
              </tr>
              <tr>
                <td>RTP × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.1074</td>
                <td colspan="3">HSD = 2.480p = 0.0048</td>
              </tr>
              <tr>
                <td colspan="2">RA × RTP × Y</td>
                <td colspan="3">HSD = NSp = 0.1417</td>
                <td colspan="3">HSD = NSp = 0.7644</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Note: †: 1M:1C = 1 row maize alternating with 1 row cowpea; 2M:2C = 2 rows maize alternating with 2 rows cowpea; 3M:3C = 3 rows maize alternating with 3 rows cowpea; #: M2WBC = Maize planted 2 weeks before cowpea; C2WBM = Cowpea planted 2 weeks before maize.</p>
        <p><bold>Table 2</bold><bold>.</bold> Days to 50% silking of maize as affected by row arrangement and relative times of planting at Garu and Manga in 2021 and 2022.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2" rowspan="2">Cropping systems</td>
                <td colspan="6">Days to 50% Silking</td>
              </tr>
              <tr>
                <td colspan="3">Garu</td>
                <td colspan="3">Manga</td>
              </tr>
              <tr>
                <td>Row arrangement (RA)</td>
                <td>Relative times of planting (RTP)</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
              </tr>
              <tr>
                <td rowspan="3">1M:1C†</td>
                <td>M2WBC#</td>
                <td>54</td>
                <td>60</td>
                <td>57</td>
                <td>54</td>
                <td>54</td>
                <td>54</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>55</td>
                <td>60</td>
                <td>57</td>
                <td>54</td>
                <td>60</td>
                <td>57</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>55</td>
                <td>53</td>
                <td>54</td>
                <td>55</td>
                <td>59</td>
                <td>57</td>
              </tr>
              <tr>
                <td rowspan="3">2M:2C</td>
                <td>M2WBC</td>
                <td>56</td>
                <td>60</td>
                <td>58</td>
                <td>56</td>
                <td>57</td>
                <td>57</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>54</td>
                <td>60</td>
                <td>57</td>
                <td>52</td>
                <td>60</td>
                <td>56</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>56</td>
                <td>54</td>
                <td>55</td>
                <td>56</td>
                <td>59</td>
                <td>58</td>
              </tr>
              <tr>
                <td rowspan="3">3M:3C</td>
                <td>M2WBC</td>
                <td>54</td>
                <td>60</td>
                <td>57</td>
                <td>53</td>
                <td>56</td>
                <td>55</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>54</td>
                <td>60</td>
                <td>57</td>
                <td>55</td>
                <td>60</td>
                <td>58</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>57</td>
                <td>53</td>
                <td>55</td>
                <td>57</td>
                <td>59</td>
                <td>58</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>
                </td>
                <td>55</td>
                <td>58</td>
                <td>
                </td>
                <td>55</td>
                <td>58</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Sole maize</td>
                <td>
                </td>
                <td>55</td>
                <td>60</td>
                <td>58</td>
                <td>54</td>
                <td>59</td>
                <td>57</td>
              </tr>
              <tr>
                <td>RA</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.7056</td>
                <td colspan="3">HSD = NSp = 0.7157</td>
              </tr>
              <tr>
                <td>RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = 1.562p &lt; 0.0001</td>
                <td colspan="3">HSD = 1.996p = 0.0194</td>
              </tr>
              <tr>
                <td>Year</td>
                <td>
                </td>
                <td colspan="3">HSD = 1.061p &lt; 0.0001</td>
                <td colspan="3">HSD = 1.356p &lt; 0.0001</td>
              </tr>
              <tr>
                <td>
                  <underline>Interactions</underline>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>RA × RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.7893</td>
                <td colspan="3">HSD = NSp = 0.4061</td>
              </tr>
              <tr>
                <td>RA × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.7785</td>
                <td colspan="3">HSD = NSp = 0.8841</td>
              </tr>
              <tr>
                <td>RTP × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = 2.209p &lt; 0.0001</td>
                <td colspan="3">HSD = 2.823p = 0.0124</td>
              </tr>
              <tr>
                <td colspan="2">RA × RTP × Y</td>
                <td colspan="3">HSD = NSp = 0.6014</td>
                <td colspan="3">HSD = NSp = 0.6337</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Note: †: 1M:1C = 1 row maize alternating with 1 row cowpea; 2M:2C = 2 rows maize alternating with 2 rows cowpea; 3M:3C = 3 rows maize alternating with 3 rows cowpea; #: M2WBC = Maize planted 2 weeks before cowpea; C2WBM = Cowpea planted 2 weeks before maize.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Total Grain Yield of Maize</title>
        <p>There were significant effects and interactions of RA, RTP and Year on total grain yield of maize for both locations and seasons. Maize planted 2 weeks before cowpea and maize planted simultaneously produced the highest grain yield than yields from maize planted 2 weeks after cowpea for the two seasons and experimental sites. The intercrop plots generally produced maize yields that were higher than the sole crops indicating higher crop productivity and efficient land use cropping system. The average total yield per hectare of 8.18 t/ha for Garu and 5.52 t/ha for Manga is far above the average maize in the Sudan ecological zone of 3.5 t/ha. The dominant performance of maize for both locations and seasons were maize planted 2 weeks before cowpea and maize planted simultaneously. This was due to early establishment, high tasselling, silking and other growth parameters obtained that gave them competitive advantage over the late crops. There was also effective use of growth resources to promote phenological and vegetative growth and finally yield and yield components of component crops. Similarly, planting maize 2 weeks before cowpea gave the maize a head start before the late crop. The higher maize grain yield obtained from the study in both locations and years could also be attributed to adequate and stable distribution of rainfall during the vegetative, tasselling, silking and grain filling stages of the maize plant because these are the growth stages that require adequate water for vigorous plant growth and efficient grain filling as reported by [<xref ref-type="bibr" rid="B19">19</xref>]-[<xref ref-type="bibr" rid="B21">21</xref>]. Maize yields obtained suggest that the overall productivity of the intercrop system was superior to the sole crop. Earlier studies confirm these findings [<xref ref-type="bibr" rid="B2">2</xref>][<xref ref-type="bibr" rid="B8">8</xref>] (<bold>Table 3</bold>).</p>
        <p><bold>Table 3</bold><bold>.</bold> Total Grain Yield of Maize as affected by row arrangement and relative times of planting at Garu and Manga in 2021 and 2022.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2" rowspan="2">Cropping systems</td>
                <td colspan="6">Total Maize Grain Yield (t/ha)</td>
              </tr>
              <tr>
                <td colspan="3">Garu</td>
                <td colspan="3">Manga</td>
              </tr>
              <tr>
                <td>Row arrangement (RA)</td>
                <td>Relative times of planting (RTP)</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
              </tr>
              <tr>
                <td rowspan="3">1M:1C†</td>
                <td>M2WBC#</td>
                <td>8.02</td>
                <td>6.63</td>
                <td>7.32</td>
                <td>5.60</td>
                <td>6.60</td>
                <td>6.10</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>8.82</td>
                <td>8.93</td>
                <td>8.88</td>
                <td>6.80</td>
                <td>5.27</td>
                <td>6.03</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>5.07</td>
                <td>6.60</td>
                <td>5.83</td>
                <td>2.67</td>
                <td>3.67</td>
                <td>3.17</td>
              </tr>
              <tr>
                <td rowspan="3">2M:2C</td>
                <td>M2WBC</td>
                <td>6.87</td>
                <td>8.93</td>
                <td>7.90</td>
                <td>6.40</td>
                <td>8.27</td>
                <td>7.33</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>7.67</td>
                <td>13.33</td>
                <td>10.50</td>
                <td>7.40</td>
                <td>6.33</td>
                <td>6.87</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>5.07</td>
                <td>6.67</td>
                <td>5.87</td>
                <td>2.87</td>
                <td>4.87</td>
                <td>3.87</td>
              </tr>
              <tr>
                <td rowspan="3">3M:3C</td>
                <td>M2WBC</td>
                <td>5.77</td>
                <td>7.90</td>
                <td>6.83</td>
                <td>5.70</td>
                <td>6.70</td>
                <td>6.20</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>6.37</td>
                <td>8.22</td>
                <td>7.30</td>
                <td>3.64</td>
                <td>4.53</td>
                <td>4.09</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>3.60</td>
                <td>6.35</td>
                <td>4.97</td>
                <td>1.40</td>
                <td>3.47</td>
                <td>2.43</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>
                </td>
                <td>6.36</td>
                <td>8.18</td>
                <td>
                </td>
                <td>4.72</td>
                <td>5.52</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Sole maize</td>
                <td>
                </td>
                <td>7.27</td>
                <td>12.80</td>
                <td>10.04</td>
                <td>6.67</td>
                <td>7.33</td>
                <td>7.00</td>
              </tr>
              <tr>
                <td>RA</td>
                <td>
                </td>
                <td colspan="3">HSD = 1264.3p = 0.0021</td>
                <td colspan="3">HSD = 1375.8p = 0.0026</td>
              </tr>
              <tr>
                <td>RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = 0.5836p &lt; 0.0001</td>
                <td colspan="3">HSD = 1375.8p &lt; 0. 0001</td>
              </tr>
              <tr>
                <td>Year</td>
                <td>
                </td>
                <td colspan="3">HSD = 858.49p = 0.0003</td>
                <td colspan="3">HSD = 934.18p &lt; 0. 0001</td>
              </tr>
              <tr>
                <td>
                  <underline>Interactions</underline>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>RA × RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.6344</td>
                <td colspan="3">HSD = NSp = 0.3326</td>
              </tr>
              <tr>
                <td>RA × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.4680</td>
                <td colspan="3">HSD = NSp = 0.7535</td>
              </tr>
              <tr>
                <td>RTP × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.4766</td>
                <td colspan="3">HSD = 162.7p = 0.0035</td>
              </tr>
              <tr>
                <td colspan="2">RA × RTP × Y</td>
                <td colspan="3">HSD = NSp = 0.6729</td>
                <td colspan="3">HSD = NSp = 0.4403</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Note: †: 1M:1C = 1 row maize alternating with 1 row cowpea; 2M:2C = 2 rows maize alternating with 2 rows cowpea; 3M:3C = 3 rows maize alternating with 3 rows cowpea; #: M2WBC = Maize planted 2 weeks before cowpea; C2WBM = Cowpea planted 2 weeks before.</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Growth Variables of Cowpea</title>
        <p>Plant height of cowpea was significantly affected by row arrangement and relative times of planting at Garu and Manga in the 2021 and 2022 growing seasons. The intercrop system had no influence on plant height until plants attained 41 DAP where plant height was influenced largely, leading to significant variations among RA, RTP and Year. Plant height is genetically inclined than treatment combinations [<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B23">23</xref>]; however, creating a favourable environment can enhance the performance and growth variables such as plant height due to genetic × environment interaction. Cowpea planted simultaneously with maize and sole cowpea produced the tallest plants from 41 DAP onwards throughout the data sampling period due to early establishment, as they were planted at the same time, and the advantage of a head start over the cowpea planted late. Cowpea planted simultaneously grew taller than all the other treatments due to the benefit of ecosystem services from maize and minimal competition. Cowpea height started slowly and increased steadily to a height of 35 cm for the sole cowpea. This finding is in line with [<xref ref-type="bibr" rid="B4">4</xref>]. Taller cowpea plants have their pods above the ground, preventing pod soil contact at maturity, thus reducing post-harvest yield losses. Pods hanging above the ground help in effective harvesting to reduce post-harvest losses and contaminated cowpea grain. Total dry matter of cowpea recorded significant differences for both Garu and Manga in both 2021 and 2022 cropping seasons. Total dry matter accumulation indicated that cowpea planted 2 weeks before maize and sole cowpea grew vigorously and accumulated more total dry matter than those planted simultaneously and those planted 2 weeks after maize throughout the experimental period. The dominance of cowpea planted 2 weeks before maize and sole cowpea was due to early planting, the head start advantage, coupled with minimal competition for growth resources. The cowpea that were grown simultaneously and those planted after maize faced negative intra and inter competition from maize. This clearly indicates that the maize-cowpea intercrop productivity and stability study had a high impact on the amount of dry matter accumulated, as large biomass would normally produce high total dry matter [<xref ref-type="bibr" rid="B22">22</xref>]. Absorbed photosynthetically active radiation did not show any significant differences at 41 and 51 DAP of cowpea, but showed significant differences at 61 DAP for both Garu and Manga in both 2021 and 2022 cropping seasons. The initial absorbed photosynthetically active radiation was similar at 41 DAP, declined at 51 DAP, but increased at 61 DAP when cowpea plants were approaching physiological maturity at Garu in 2021 and 2022. Absorbed Photosynthetically Active Radiation by cowpea at manga in 2022 was more diverse with 3M:3C+M2WBC and 3M:3C+SIM producing higher Absorbed Photosynthetically Active Radiation than all the other treatment combinations. This could be attributed to the wide leave architecture of the 3M:3C row arrangements [<xref ref-type="bibr" rid="B10">10</xref>] and the architecture of the row arrangement, coupled with planting both component crops simultaneously. Absorbed photosynthetically active radiation measurement is very important to evaluate agricultural land use efficiency and crop productivity. Efficiently absorbed photosynthetically active radiation is a prerequisite for productive farmland use measurement. Photosynthesis rate can be measured using absorbed photosynthetically active radiation measurement to quantify its contribution to total crop yield [<xref ref-type="bibr" rid="B13">13</xref>]. Absorbed photosynthetically active radiation is a determinant of crop yield. After podding, the pods and the developing kernels become sinks and therefore need a lot of assimilates or photosynthates from the sources for proper kernel development and maturity. Chlorophyll content of cowpea registered significant differences at 41 and 51 DAP but showed no significant differences at 61 DAP for both Garu and Manga in both 2021 and 2022. Production of chlorophyll was largely homogeneous for cowpea at both locations and seasons. The differences that occurred at the initial stages of growth could be attributed to the available radiation with less shade from the maize from 41 - 51 DAP. The level of chlorophyll content in cowpea is attributed to differences in treatment combinations and environmental variables [<xref ref-type="bibr" rid="B10">10</xref>][<xref ref-type="bibr" rid="B13">13</xref>]. This was also supported by [<xref ref-type="bibr" rid="B13">13</xref>] Leaf area index (LAI) of cowpea varieties is influenced by the plant architecture, spreading or prostrate, erect or semi-erect leave area index of cowpea did not record any significant differences at 41, 51, and 61 DAS for both Garu and Manga in both 2021 and 2022 cropping seasons. About 72% of plots recorded leaf area index more than 1, thus enhancing flowering, podding and increased yield of cowpea. According to [<xref ref-type="bibr" rid="B20">20</xref>][<xref ref-type="bibr" rid="B21">21</xref>], a leaf area index between 1 and 2 m<sup>2</sup> is required after flowering to obtain optimum yield of cowpea (<xref ref-type="fig" rid="fig3">Figure 3</xref><xref ref-type="fig" rid="fig3">Figures 3-10</xref>).</p>
        <fig id="fig6">
          <label>Figure 6</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId20.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 6</bold><bold>.</bold> Plant height of cowpea as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
        <fig id="fig7">
          <label>Figure 7</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId21.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 7</bold><bold>.</bold> Total Dry Matter of cowpea as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
        <fig id="fig8">
          <label>Figure 8</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId22.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 8</bold><bold>.</bold> Absorbed Photosynthetically Active Radiation by cowpea as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
        <fig id="fig9">
          <label>Figure 9</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId23.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 9</bold><bold>.</bold> Chlorophyll content of cowpea leaves as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
        <fig id="fig10">
          <label>Figure 10</label>
          <graphic xlink:href="https://html.scirp.org/file/1112768-rId24.jpeg?20260205111747" />
        </fig>
        <p><bold>Figure 10</bold><bold>.</bold> Leaf area index of cowpea as affected by row arrangement and relative times of planting in a maize + cowpea intercrop at Garu and Manga in 2021 and 2022 growing seasons.</p>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Phenological Development of Cowpea</title>
        <p>Percentage plant establishment at both experimental sites recorded an average of 97% for Garu and 96% for Manga during the experimental period. At 38 DAP, cowpea flowered and at 43 DAP 50% podding was archived. Early flowering normally enhances crop yield. Conditions that enhanced the phenological development during the study included adequate rainfall, temperature and day length. Plant establishment registered significant differences and interaction for Year and RTP. According to [<xref ref-type="bibr" rid="B23">23</xref>], temperature, water availability, light quality, photoperiod, altitude, and mineral nutrition determine effective and adequate percentage plant establishment. Days to 50% flowering of cowpea were significantly affected by RTP and RTP × Y interaction at both locations and seasons. Early flowering at 38 DAP at Garu was enhanced by the adequate rainfall experienced throughout the study period [<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B23">23</xref>]. This explains why row arrangement and relative times of planting had limited interactions and variations for days to 50% flowering of cowpea. There was no significant effect of RA on days to 50% to podding of cowpea, but there were significant and interaction effects of RTP and Year on days to 50% to podding for both seasons at Garu and Manga. Podding comes after flowering sets in. The earliest flowering occurred at 38 DAP, while the earliest podding started at 43 DAP by 2M:2C + C2WBM and 3M:3C + M2WBC at Garu in the 2022 cropping season (<bold>Table 5</bold>). A maximum of 5 days came between flowering and pod formation. Effective podding was influenced by early flowering, as the same treatment flowered at 38 DAP. However, podding of cowpea is reported to vary genetically, but not due to environmental influences [<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B23">23</xref>]. (<bold>Table 4</bold> and <bold>Table 5</bold>).</p>
        <p><bold>Table 4</bold><bold>.</bold> Days to 50% flowering of cowpea as affected by row arrangement and relative times of planting at Garu and Manga in 2021 and 2022.</p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2" rowspan="2">Cropping systems</td>
                <td colspan="6">Days to 50% flowering</td>
              </tr>
              <tr>
                <td colspan="3">Garu</td>
                <td colspan="3">Manga</td>
              </tr>
              <tr>
                <td>Row arrangement (RA)</td>
                <td>Relative times of planting (RTP)</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
              </tr>
              <tr>
                <td rowspan="3">1M:1C†</td>
                <td>M2WBC#</td>
                <td>42</td>
                <td>39</td>
                <td>41</td>
                <td>40</td>
                <td>41</td>
                <td>41</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>40</td>
                <td>40</td>
                <td>40</td>
                <td>41</td>
                <td>39</td>
                <td>40</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>42</td>
                <td>38</td>
                <td>40</td>
                <td>41</td>
                <td>40</td>
                <td>41</td>
              </tr>
              <tr>
                <td rowspan="3">2M:2C</td>
                <td>M2WBC</td>
                <td>41</td>
                <td>39</td>
                <td>40</td>
                <td>40</td>
                <td>40</td>
                <td>40</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>39</td>
                <td>41</td>
                <td>40</td>
                <td>40</td>
                <td>39</td>
                <td>40</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>40</td>
                <td>38</td>
                <td>39</td>
                <td>41</td>
                <td>40</td>
                <td>41</td>
              </tr>
              <tr>
                <td rowspan="3">3M:3C</td>
                <td>M2WBC</td>
                <td>42</td>
                <td>38</td>
                <td>40</td>
                <td>39</td>
                <td>39</td>
                <td>39</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>38</td>
                <td>40</td>
                <td>39</td>
                <td>41</td>
                <td>40</td>
                <td>41</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>41</td>
                <td>40</td>
                <td>41</td>
                <td>41</td>
                <td>40</td>
                <td>41</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>
                </td>
                <td>41</td>
                <td>39</td>
                <td>
                </td>
                <td>40</td>
                <td>40</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Sole maize</td>
                <td>
                </td>
                <td>41</td>
                <td>39</td>
                <td>40</td>
                <td>40</td>
                <td>40</td>
                <td>40</td>
              </tr>
              <tr>
                <td>RA</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.1691</td>
                <td colspan="3">HSD = NSp = 0.8063</td>
              </tr>
              <tr>
                <td>RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = 1.011p = 0.0338</td>
                <td colspan="3">HSD = NSp = 0.0965</td>
              </tr>
              <tr>
                <td>Year</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.8085</td>
                <td colspan="3">HSD = NSp = 0.0998</td>
              </tr>
              <tr>
                <td>
                  <underline>Interactions</underline>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>RA × RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.9329</td>
                <td colspan="3">HSD = NSp = 0.1561</td>
              </tr>
              <tr>
                <td>RA × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.4230</td>
                <td colspan="3">HSD = NSp = 0.8063</td>
              </tr>
              <tr>
                <td>RTP × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = 0.378p = 0.0004</td>
                <td colspan="3">HSD = 0.476p = 0.01756</td>
              </tr>
              <tr>
                <td colspan="2">RA × RTP × Y</td>
                <td colspan="3">HSD = NSp = 0.5056</td>
                <td colspan="3">HSD = NSp = 0.8054</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Note: †: 1M:1C = 1 row maize alternating with 1 row cowpea; 2M:2C = 2 rows maize alternating with 2 rows cowpea; 3M:3C = 3 rows maize alternating with 3 rows cowpea; #: M2WBC = Maize planted 2 weeks before cowpea; C2WBM = Cowpea planted 2 weeks before maize.</p>
        <p><bold>Table 5</bold><bold>.</bold> Days to 50% to podding of cowpea as affected by row arrangement and relative times of planting at Garu and Manga in 2021 and 2022.</p>
        <table-wrap id="tbl5">
          <label>Table 5</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2" rowspan="2">Cropping systems</td>
                <td colspan="6">Days to 50% podding</td>
              </tr>
              <tr>
                <td colspan="3">Garu</td>
                <td colspan="4">Manga</td>
              </tr>
              <tr>
                <td>Row arrangement (RA)</td>
                <td>Relative times of planting (RTP)</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
                <td>2021</td>
                <td>2022</td>
                <td colspan="2">Mean</td>
              </tr>
              <tr>
                <td rowspan="3">1M:1C†</td>
                <td>M2WBC#</td>
                <td>47</td>
                <td>45</td>
                <td>46</td>
                <td>44</td>
                <td>45</td>
                <td colspan="2">45</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>44</td>
                <td>46</td>
                <td>45</td>
                <td>45</td>
                <td>45</td>
                <td colspan="2">45</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>47</td>
                <td>43</td>
                <td>45</td>
                <td>45</td>
                <td>46</td>
                <td colspan="2">46</td>
              </tr>
              <tr>
                <td rowspan="3">2M:2C</td>
                <td>M2WBC</td>
                <td>47</td>
                <td>44</td>
                <td>46</td>
                <td>45</td>
                <td>46</td>
                <td colspan="2">46</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>44</td>
                <td>47</td>
                <td>46</td>
                <td>44</td>
                <td>45</td>
                <td colspan="2">45</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>46</td>
                <td>43</td>
                <td>45</td>
                <td>45</td>
                <td>45</td>
                <td colspan="2">45</td>
              </tr>
              <tr>
                <td rowspan="3">3M:3C</td>
                <td>M2WBC</td>
                <td>47</td>
                <td>43</td>
                <td>45</td>
                <td>44</td>
                <td>45</td>
                <td colspan="2">45</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>44</td>
                <td>45</td>
                <td>45</td>
                <td>45</td>
                <td>49</td>
                <td colspan="2">47</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>47</td>
                <td>46</td>
                <td>47</td>
                <td>46</td>
                <td>46</td>
                <td colspan="2">46</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>
                </td>
                <td>46</td>
                <td>45</td>
                <td>
                </td>
                <td>45</td>
                <td>46</td>
                <td colspan="2">
                </td>
              </tr>
              <tr>
                <td>Sole maize</td>
                <td>
                </td>
                <td>46</td>
                <td>44</td>
                <td>45</td>
                <td>46</td>
                <td>45</td>
                <td colspan="2">46</td>
              </tr>
              <tr>
                <td>RA</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.9267</td>
                <td colspan="4">HSD = NSp = 0.2720</td>
              </tr>
              <tr>
                <td>RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = 1.19p = 0.0110</td>
                <td colspan="4">HSD = 1.25p = 0.0110</td>
              </tr>
              <tr>
                <td>Year</td>
                <td>
                </td>
                <td colspan="3">HSD = 0.80p = 0.0055</td>
                <td colspan="4">HSD = 0.85p = 0.0193</td>
              </tr>
              <tr>
                <td>
                  <underline>Interactions</underline>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td colspan="2">
                </td>
              </tr>
              <tr>
                <td>RA × RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.5641</td>
                <td colspan="4">HSD = 0.76p = 0.1992</td>
              </tr>
              <tr>
                <td>RA × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.9445</td>
                <td colspan="4">HSD = NSp = 0.4128</td>
              </tr>
              <tr>
                <td>RTP × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = 0.445p = 0.0013</td>
                <td colspan="4">HSD = NSp = 0.2962</td>
              </tr>
              <tr>
                <td>RA × RTP × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.9589</td>
                <td colspan="4">HSD = NSp = 0.0594</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Note: †: 1M:1C = 1 row maize alternating with 1 row cowpea; 2M:2C = 2 rows maize alternating with 2 rows cowpea; 3M:3C = 3 rows maize alternating with 3 rows cowpea; #: M2WBC = Maize planted 2 weeks before cowpea; C2WBM = Cowpea planted 2 weeks before maize.</p>
      </sec>
      <sec id="sec3dot6">
        <title>3.6. Total Grain Yield of Cowpea</title>
        <p>There were highly significant effects of row arrangement, relative times of planting and year, but no significant interactions on total grain yield of cowpea during the data collection period. The treatment that dominated in the cowpea yield is row arrangement, when cowpea was planted 2 weeks before maize, followed by cowpea planted simultaneously, which was significantly higher than cowpea planted 2 weeks after maize. Cowpea planted before maize and cowpea planted simultaneously with maize tend to start growth early, spread their leaves widely and attract more radiation for high photosynthates or assimilate production, hence effective phenological and vegetative growth and consequently higher yields. Cowpea planted 2 weeks before maize produced the highest cowpea grain yield of 3.22 t/ha at Garu, less than the cowpea grain yield of 3.79 t/ha obtained at Manga. These results were due to the different environmental conditions experienced at both experimental sites. The early cowpea also had a head start for cowpea planted 2 WBM, allowing component crops to effectively use the available growth resources. The yields of the intercrop cowpea were higher than the sole cowpea because of the interaction effect of component crops, which the sole cowpea did not experience. These findings contradicted Several previous studies that reported lower intercrop yields for cereal-legume trials [<xref ref-type="bibr" rid="B10">10</xref>][<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B25">25</xref>]. According to [<xref ref-type="bibr" rid="B14">14</xref>], competition among component crops for growth factors such as light, available water and nutrients, and root space is among the crucial factors that determine the variations in their productivity levels. [<xref ref-type="bibr" rid="B26">26</xref>][<xref ref-type="bibr" rid="B27">27</xref>] also stated that crop yield is strongly tied to competition between intercrops. This means the competitiveness is negative, crop yield would reduce, but minimal competition may not affect crop yield (<bold>Table 6</bold>).</p>
        <p><bold>Table 6</bold><bold>.</bold> Total Grain yield of cowpea as affected by row arrangement and relative times of planting at Garu and Manga in 2021 and 2022.</p>
        <table-wrap id="tbl6">
          <label>Table 6</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2" rowspan="2">Cropping systems</td>
                <td colspan="7">Cowpea Grain Yield (t/ha)</td>
              </tr>
              <tr>
                <td colspan="3">Garu</td>
                <td colspan="3">Manga</td>
              </tr>
              <tr>
                <td>Row arrangement (RA)</td>
                <td>Relative times of planting (RTP)</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
                <td>2021</td>
                <td>2022</td>
                <td>Mean</td>
              </tr>
              <tr>
                <td rowspan="3">1M:1C†</td>
                <td>M2WBC#</td>
                <td>1.91</td>
                <td>2.15</td>
                <td>2.03</td>
                <td>1.98</td>
                <td>3.46</td>
                <td>2.72</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>2.26</td>
                <td>1.72</td>
                <td>1.99</td>
                <td>1.96</td>
                <td>3.59</td>
                <td>2.78</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>2.52</td>
                <td>3.22</td>
                <td>2.86</td>
                <td>2.64</td>
                <td>3.79</td>
                <td>3.22</td>
              </tr>
              <tr>
                <td rowspan="3">2M:2C</td>
                <td>M2WBC</td>
                <td>1.70</td>
                <td>2.21</td>
                <td>1.96</td>
                <td>1.86</td>
                <td>2.82</td>
                <td colspan="2">2.34</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>1.19</td>
                <td>1.51</td>
                <td>1.35</td>
                <td>1.37</td>
                <td>2.21</td>
                <td colspan="2">1.79</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>2.52</td>
                <td>2.29</td>
                <td>2.41</td>
                <td>2.25</td>
                <td>2.71</td>
                <td colspan="2">2.48</td>
              </tr>
              <tr>
                <td rowspan="3">3M:3C</td>
                <td>M2WBC</td>
                <td>1.27</td>
                <td>1.42</td>
                <td>1.35</td>
                <td>1.25</td>
                <td>1.90</td>
                <td colspan="2">1.58</td>
              </tr>
              <tr>
                <td>SIM</td>
                <td>0.93</td>
                <td>1.22</td>
                <td>1.08</td>
                <td>1.07</td>
                <td>1.63</td>
                <td colspan="2">1.35</td>
              </tr>
              <tr>
                <td>C2WBM</td>
                <td>1.49</td>
                <td>1.36</td>
                <td>1.43</td>
                <td>1.56</td>
                <td>2.17</td>
                <td colspan="2">1.87</td>
              </tr>
              <tr>
                <td>Mean</td>
                <td>
                </td>
                <td>1.56</td>
                <td>1.90</td>
                <td>
                </td>
                <td>1.97</td>
                <td>3.00</td>
                <td colspan="2">
                </td>
              </tr>
              <tr>
                <td>Sole Cowpea</td>
                <td>
                </td>
                <td>1.56</td>
                <td>1.59</td>
                <td>1.97</td>
                <td>2.17</td>
                <td>2.84</td>
                <td colspan="2">2.51</td>
              </tr>
              <tr>
                <td>RA</td>
                <td>
                </td>
                <td colspan="3">HSD = 482.4p = 0.0001</td>
                <td colspan="4">HSD = 486.54p &lt; 0.0001</td>
              </tr>
              <tr>
                <td>RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = 482.4p = 0.0031</td>
                <td colspan="4">HSD = 486.54p = 0.0131</td>
              </tr>
              <tr>
                <td>Year</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.9263</td>
                <td colspan="4">HSD = 330.37p &lt; 0.0001</td>
              </tr>
              <tr>
                <td>
                  <underline>Interactions</underline>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td colspan="2">
                </td>
              </tr>
              <tr>
                <td>RA × RTP</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.5426</td>
                <td colspan="4">HSD = NSp = 0.5322</td>
              </tr>
              <tr>
                <td>RA × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.9690</td>
                <td colspan="4">HSD = NSp = 0.1659</td>
              </tr>
              <tr>
                <td>RTP × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.9724</td>
                <td colspan="4">HSD = NSp = 0.6445</td>
              </tr>
              <tr>
                <td>RA × RTP × Y</td>
                <td>
                </td>
                <td colspan="3">HSD = NSp = 0.9111</td>
                <td colspan="4">HSD = NSp = 0.5565</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Note: †: 1M:1C = 1 row maize alternating with 1 row cowpea; 2M:2C = 2 rows maize alternating with 2 rows cowpea; 3M:3C = 3 rows maize alternating with 3 rows cowpea; #: M2WBC = Maize planted 2 weeks before cowpea; C2WBM = Cowpea planted 2 weeks before maize.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Conclusion</title>
      <p>The intercropping systems largely enhanced the growth and development of the component crops compared with the sole crops. Generally, planting maize 2 weeks before cowpea or simultaneously with cowpea enhanced the growth and development of the maize component crop. The 1M:1C and 2M:2C row arrangements also enhanced the growth and development of the maize. The growth and development of the cowpea were enhanced when cowpea was planted 2 weeks before maize and at row arrangements of 2M:2C and 3M:3C. Planting maize and cowpea simultaneously (SIM) at 2M:2C produced the largest maize yield, followed by planting maize 2 WBC at 2M:2C. The least maize yield was produced by 3M:3C + C2WBM while the highest cowpea yield was obtained when cowpea was planted 2 WBM at 1M:1C followed by planting maize and cowpea simultaneously (SIM) at 1M:1C.</p>
    </sec>
    <sec id="sec5">
      <title>Recommendation</title>
      <p>It is therefore recommended that farmers with a high priority for maize yield should adopt planting 2 rows of maize alternating with 2 rows of cowpea and planting the two crops simultaneously (<italic>i.e.</italic> 2M:2C + SIM) for maximum yield. However, farmers with priority for cowpea yield should adopt a spatial arrangement of 1 row of maize alternating with 1 row of cowpea and planting cowpea 2 weeks before maize (<italic>i.e.</italic> 1M:1C + C2WBM) to maximize yield.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <label>1.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Gomes, A.M.F., Draper, D., Nhantumbo, N., Massinga, R., Ramalho, J.C., Marques, I., <italic>et al</italic>. (2021) Diversity of Cowpea [ <italic>Vigna unguiculata</italic> (L.) Walp] Landraces in Mozambique: New Opportunities for Crop Improvement and Future Breeding Programs. <italic>Agronomy</italic>, 11, Article 991. https://doi.org/10.3390/agronomy11050991 <pub-id pub-id-type="doi">10.3390/agronomy11050991</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/agronomy11050991">https://doi.org/10.3390/agronomy11050991</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Gomes, A.M.F.</string-name>
              <string-name>Draper, D.</string-name>
              <string-name>Nhantumbo, N.</string-name>
              <string-name>Massinga, R.</string-name>
              <string-name>Ramalho, J.C.</string-name>
              <string-name>Marques, I.</string-name>
            </person-group>
            <year>2021</year>
            <article-title>Diversity of Cowpea [Vigna unguiculata (L</article-title>
            <source>) Walp] Landraces in Mozambique: New Opportunities for Crop Improvement and Future Breeding Programs. Agronomy</source>
            <volume>11</volume>
            <elocation-id>991</elocation-id>
            <pub-id pub-id-type="doi">10.3390/agronomy11050991</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B2">
        <label>2.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Badu‐Apraku, B., Fakorede, M.A.B., Oyekunle, M., Yallou, G.C., Obeng‐Antwi, K., Haruna, A., <italic>et al</italic>. (2015) Gains in Grain Yield of Early Maize Cultivars Developed during Three Breeding Eras under Multiple Environments. <italic>Crop Science</italic>, 55, 527-539. https://doi.org/10.2135/cropsci2013.11.0783 <pub-id pub-id-type="doi">10.2135/cropsci2013.11.0783</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.2135/cropsci2013.11.0783">https://doi.org/10.2135/cropsci2013.11.0783</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Apraku, B.</string-name>
              <string-name>Fakorede, M.A.B.</string-name>
              <string-name>Oyekunle, M.</string-name>
              <string-name>Yallou, G.C.</string-name>
              <string-name>Antwi, K.</string-name>
              <string-name>Haruna, A.</string-name>
            </person-group>
            <year>2015</year>
            <article-title>Gains in Grain Yield of Early Maize Cultivars Developed during Three Breeding Eras under Multiple Environments</article-title>
            <source>Crop Science</source>
            <volume>55</volume>
            <pub-id pub-id-type="doi">10.2135/cropsci2013.11.0783</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B3">
        <label>3.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Hokmalipour, S. and Dagbani, M.H. (2011) Effects of Nitrogen Fertilizer on Chlorophyll Content and Other Leaf Indicate in Three Cultivars of Maize ( <italic>Zea mays</italic> L.). <italic>World Applied Sciences Journal</italic>, 15, 1780-1785.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Hokmalipour, S.</string-name>
              <string-name>Dagbani, M.H.</string-name>
            </person-group>
            <year>2011</year>
            <article-title>Effects of Nitrogen Fertilizer on Chlorophyll Content and Other Leaf Indicate in Three Cultivars of Maize (Zea mays L</article-title>
            <source>). World Applied Sciences Journal</source>
            <volume>15</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B4">
        <label>4.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Kermah, M., Franke, A.C., Adjei-Nsiah, S., Ahiabor, B.D.K., Abaidoo, R.C. and Giller, K.E. (2017) Maize-Grain Legume Intercropping for Enhanced Resource Use Efficiency and Crop Productivity in the Guinea Savanna of Northern Ghana. <italic>Field Crops Research</italic>, 213, 38-50. https://doi.org/10.1016/j.fcr.2017.07.008 https://www.sciencedirect.com/journal/field-crops-research <pub-id pub-id-type="doi">10.1016/j.fcr.2017.07.008</pub-id><pub-id pub-id-type="pmid">29104356</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.fcr.2017.07.008">https://doi.org/10.1016/j.fcr.2017.07.008</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Kermah, M.</string-name>
              <string-name>Franke, A.C.</string-name>
              <string-name>Adjei-Nsiah, S.</string-name>
              <string-name>Ahiabor, B.D.K.</string-name>
              <string-name>Abaidoo, R.C.</string-name>
              <string-name>Giller, K.E.</string-name>
            </person-group>
            <year>2017</year>
            <article-title>Maize-Grain Legume Intercropping for Enhanced Resource Use Efficiency and Crop Productivity in the Guinea Savanna of Northern Ghana</article-title>
            <source>Field Crops Research</source>
            <volume>213</volume>
            <pub-id pub-id-type="doi">10.1016/j.fcr.2017.07.008</pub-id>
            <pub-id pub-id-type="pmid">29104356</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B5">
        <label>5.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Huss, C.P., Holmes, K.D. and Blubaugh, C.K. (2022) Benefits and Risks of Intercropping for Crop Resilience and Pest Management. Department of Entomology, University of Georgia, Cornell University, Department of Ecology and Evolutionary Biology.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Huss, C.P.</string-name>
              <string-name>Holmes, K.D.</string-name>
              <string-name>Blubaugh, C.K.</string-name>
              <string-name>Entomology, U</string-name>
              <string-name>Georgia, C</string-name>
              <string-name>University, D</string-name>
            </person-group>
            <year>2022</year>
            <article-title>Benefits and Risks of Intercropping for Crop Resilience and Pest Management</article-title>
            <source>Department of Entomology</source>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B6">
        <label>6.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Lehmann, P., Ammunét, T., Barton, M., Battisti, A., Eigenbrode, S.D., Jepsen, J.U., <italic>et al</italic>. (2020) Complex Responses of Global Insect Pests to Climate Warming. <italic>Frontiers in Ecology and the Environment</italic>, 18, 141-150. https://doi.org/10.1002/fee.2160 <pub-id pub-id-type="doi">10.1002/fee.2160</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1002/fee.2160">https://doi.org/10.1002/fee.2160</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Lehmann, P.</string-name>
              <string-name>Barton, M.</string-name>
              <string-name>Battisti, A.</string-name>
              <string-name>Eigenbrode, S.D.</string-name>
              <string-name>Jepsen, J.U.</string-name>
            </person-group>
            <year>2020</year>
            <article-title>Complex Responses of Global Insect Pests to Climate Warming</article-title>
            <source>Frontiers in Ecology and the Environment</source>
            <volume>18</volume>
            <pub-id pub-id-type="doi">10.1002/fee.2160</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B7">
        <label>7.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Manda, J., Alene, A.D., Tufa, A.H., Abdoulaye, T., Wossen, T., Chikoye, D., <italic>et al</italic>. (2019) The Poverty Impacts of Improved Cowpea Varieties in Nigeria: A Counterfactual Analysis. <italic>World Development</italic>, 122, 261-271. https://doi.org/10.1016/j.worlddev.2019.05.027 <pub-id pub-id-type="doi">10.1016/j.worlddev.2019.05.027</pub-id><pub-id pub-id-type="pmid">31582870</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.worlddev.2019.05.027">https://doi.org/10.1016/j.worlddev.2019.05.027</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Manda, J.</string-name>
              <string-name>Alene, A.D.</string-name>
              <string-name>Tufa, A.H.</string-name>
              <string-name>Abdoulaye, T.</string-name>
              <string-name>Wossen, T.</string-name>
              <string-name>Chikoye, D.</string-name>
            </person-group>
            <year>2019</year>
            <article-title>The Poverty Impacts of Improved Cowpea Varieties in Nigeria: A Counterfactual Analysis</article-title>
            <source>World Development</source>
            <volume>122</volume>
            <pub-id pub-id-type="doi">10.1016/j.worlddev.2019.05.027</pub-id>
            <pub-id pub-id-type="pmid">31582870</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B8">
        <label>8.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Wossen, T., Abdoulaye, T., Alene, A., Nguimkeu, P., Feleke, S., Rabbi, I.Y., <italic>et al</italic>. (2018) Estimating the Productivity Impacts of Technology Adoption in the Presence of Misclassification. <italic>American Journal of Agricultural Economics</italic>, 101, 1-16. https://doi.org/10.1093/ajae/aay017 <pub-id pub-id-type="doi">10.1093/ajae/aay017</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1093/ajae/aay017">https://doi.org/10.1093/ajae/aay017</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Wossen, T.</string-name>
              <string-name>Abdoulaye, T.</string-name>
              <string-name>Alene, A.</string-name>
              <string-name>Nguimkeu, P.</string-name>
              <string-name>Feleke, S.</string-name>
              <string-name>Rabbi, I.Y.</string-name>
            </person-group>
            <year>2018</year>
            <article-title>Estimating the Productivity Impacts of Technology Adoption in the Presence of Misclassification</article-title>
            <source>American Journal of Agricultural Economics</source>
            <volume>101</volume>
            <pub-id pub-id-type="doi">10.1093/ajae/aay017</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B9">
        <label>9.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Haseeb-ur-Rehman, A., Ali, M., Waseem, A., Tanveer, M., Tahir, M. and Nadeem, A. (2010) Impact of Nitrogen Application on Growth and Yield of Maize ( <italic>Zea mays</italic> L.) Grown Alone and in Combination Cowpea ( <italic>Vigna unguiculata</italic> L.). <italic>American</italic>- <italic>Eurasian Journal of Agricultural &amp; Environmental Sciences</italic>, 7, 43-47.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Haseeb-ur-Rehman, A.</string-name>
              <string-name>Ali, M.</string-name>
              <string-name>Waseem, A.</string-name>
              <string-name>Tanveer, M.</string-name>
              <string-name>Tahir, M.</string-name>
              <string-name>Nadeem, A.</string-name>
            </person-group>
            <year>2010</year>
            <article-title>Impact of Nitrogen Application on Growth and Yield of Maize (Zea mays L</article-title>
            <source>) Grown Alone and in Combination Cowpea (Vigna unguiculata L.). American-Eurasian Journal of Agricultural &amp; Environmental Sciences</source>
            <volume>7</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B10">
        <label>10.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Nawar, A.I., Salama, H.S.A. and Khalil, H.E. (2020) Additive Intercropping of Sunflower and Soybean to Improve Yield and Land Use Efficiency: Effect of Thinning Interval and Nitrogen Fertilization. <italic>Chilean Journal of Agricultural Research</italic>, 80, 142-152. https://doi.org/10.4067/s0718-58392020000200142 <pub-id pub-id-type="doi">10.4067/s0718-58392020000200142</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4067/s0718-58392020000200142">https://doi.org/10.4067/s0718-58392020000200142</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Nawar, A.I.</string-name>
              <string-name>Salama, H.S.A.</string-name>
              <string-name>Khalil, H.E.</string-name>
            </person-group>
            <year>2020</year>
            <article-title>Additive Intercropping of Sunflower and Soybean to Improve Yield and Land Use Efficiency: Effect of Thinning Interval and Nitrogen Fertilization</article-title>
            <source>Chilean Journal of Agricultural Research</source>
            <volume>80</volume>
            <pub-id pub-id-type="doi">10.4067/s0718-58392020000200142</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B11">
        <label>11.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Kim, J., Song, Y., Kim, D.W., Fiaz, M. and Kwon, C.H. (2018) Evaluating Different Interrow Distance between Corn and Soybean for Optimum Growth, Production and Nutritive Value of Intercropped Forages. <italic>Journal of Animal Science and Technology</italic>, 60, 1-6. https://doi.org/10.1186/s40781-017-0158-0 <pub-id pub-id-type="doi">10.1186/s40781-017-0158-0</pub-id><pub-id pub-id-type="pmid">29445513</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1186/s40781-017-0158-0">https://doi.org/10.1186/s40781-017-0158-0</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Kim, J.</string-name>
              <string-name>Song, Y.</string-name>
              <string-name>Kim, D.W.</string-name>
              <string-name>Fiaz, M.</string-name>
              <string-name>Kwon, C.H.</string-name>
              <string-name>Growth, P</string-name>
            </person-group>
            <year>2018</year>
            <article-title>Evaluating Different Interrow Distance between Corn and Soybean for Optimum Growth, Production and Nutritive Value of Intercropped Forages</article-title>
            <source>Journal of Animal Science and Technology</source>
            <volume>60</volume>
            <pub-id pub-id-type="doi">10.1186/s40781-017-0158-0</pub-id>
            <pub-id pub-id-type="pmid">29445513</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B12">
        <label>12.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Dahmardeh, M., Ghanbari, A., Syahsar, B.A. and Ramrodi, M. (2010) The Role of Intercropping Maize ( <italic>Zea mays</italic> L.) and Cowpea ( <italic>Vigna unguiculata</italic> L.) on Yield and Soil Chemical Properties. <italic>African Journal of Agricultural Research</italic>, 5, 631-636.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Dahmardeh, M.</string-name>
              <string-name>Ghanbari, A.</string-name>
              <string-name>Syahsar, B.A.</string-name>
              <string-name>Ramrodi, M.</string-name>
            </person-group>
            <year>2010</year>
            <article-title>The Role of Intercropping Maize (Zea mays L</article-title>
            <source>) and Cowpea (Vigna unguiculata L.) on Yield and Soil Chemical Properties. African Journal of Agricultural Research</source>
            <volume>5</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B13">
        <label>13.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Trisolino, P., di Sarra, A., Anello, F., Bommarito, C., Di Iorio, T., Meloni, D., <italic>et al</italic>. (2018) A Long-Term Time Series of Global and Diffuse Photosynthetically Active Radiation in the Mediterranean: Interannual Variability and Cloud Effects. <italic>Atmospheric Chemistry and Physics</italic>, 18, 7985-8000. https://doi.org/10.5194/acp-18-7985-2018 <pub-id pub-id-type="doi">10.5194/acp-18-7985-2018</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5194/acp-18-7985-2018">https://doi.org/10.5194/acp-18-7985-2018</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Trisolino, P.</string-name>
              <string-name>Sarra, A.</string-name>
              <string-name>Anello, F.</string-name>
              <string-name>Bommarito, C.</string-name>
              <string-name>Iorio, T.</string-name>
              <string-name>Meloni, D.</string-name>
            </person-group>
            <year>2018</year>
            <article-title>A Long-Term Time Series of Global and Diffuse Photosynthetically Active Radiation in the Mediterranean: Interannual Variability and Cloud Effects</article-title>
            <source>Atmospheric Chemistry and Physics</source>
            <volume>18</volume>
            <pub-id pub-id-type="doi">10.5194/acp-18-7985-2018</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B14">
        <label>14.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Liu, G., Yang, Y., Guo, X., Liu, W., Xie, R., Ming, B., <italic>et al</italic>. (2023) A Global Analysis of Dry Matter Accumulation and Allocation for Maize Yield Breakthrough from 1.0 to 25.0 Mg Ha-1. <italic>Resources</italic>, <italic>Conservation and Recycling</italic>, 188, Article 106656. https://doi.org/10.1016/j.resconrec.2022.106656 <pub-id pub-id-type="doi">10.1016/j.resconrec.2022.106656</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.resconrec.2022.106656">https://doi.org/10.1016/j.resconrec.2022.106656</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Liu, G.</string-name>
              <string-name>Yang, Y.</string-name>
              <string-name>Guo, X.</string-name>
              <string-name>Liu, W.</string-name>
              <string-name>Xie, R.</string-name>
              <string-name>Ming, B.</string-name>
              <string-name>Resources, C</string-name>
            </person-group>
            <year>2023</year>
            <article-title>A Global Analysis of Dry Matter Accumulation and Allocation for Maize Yield Breakthrough from 1</article-title>
            <source>0 to 25.0 Mg Ha-1. Resources</source>
            <volume>188</volume>
            <elocation-id>106656</elocation-id>
            <pub-id pub-id-type="doi">10.1016/j.resconrec.2022.106656</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B15">
        <label>15.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Yang, Z., Sinclair, T.R., Zhu, M., Messina, C.D., Cooper, M. and Hammer, G.L. (2012) Temperature Effect on Transpiration Response of Maize Plants to Vapour Pressure Deficit. <italic>Environmental and Experimental Botany</italic>, 78, 157-162. https://doi.org/10.1016/j.envexpbot.2011.12.034 <pub-id pub-id-type="doi">10.1016/j.envexpbot.2011.12.034</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.envexpbot.2011.12.034">https://doi.org/10.1016/j.envexpbot.2011.12.034</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Yang, Z.</string-name>
              <string-name>Sinclair, T.R.</string-name>
              <string-name>Zhu, M.</string-name>
              <string-name>Messina, C.D.</string-name>
              <string-name>Cooper, M.</string-name>
              <string-name>Hammer, G.L.</string-name>
            </person-group>
            <year>2012</year>
            <article-title>Temperature Effect on Transpiration Response of Maize Plants to Vapour Pressure Deficit</article-title>
            <source>Environmental and Experimental Botany</source>
            <volume>78</volume>
            <pub-id pub-id-type="doi">10.1016/j.envexpbot.2011.12.034</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B16">
        <label>16.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Zhang, X., Huang, G. and Zhao, Q. (2014) Differences in Maize Physiological Characteristics, Nitrogen Accumulation, and Yield under Different Cropping Patterns and Nitrogen Levels. <italic>Chilean journal of agricultural research</italic>, 74, 326-332. https://doi.org/10.4067/s0718-58392014000300011 <pub-id pub-id-type="doi">10.4067/s0718-58392014000300011</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4067/s0718-58392014000300011">https://doi.org/10.4067/s0718-58392014000300011</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Zhang, X.</string-name>
              <string-name>Huang, G.</string-name>
              <string-name>Zhao, Q.</string-name>
              <string-name>Characteristics, N</string-name>
            </person-group>
            <year>2014</year>
            <article-title>Differences in Maize Physiological Characteristics, Nitrogen Accumulation, and Yield under Different Cropping Patterns and Nitrogen Levels</article-title>
            <source>Chilean journal of agricultural research</source>
            <volume>74</volume>
            <pub-id pub-id-type="doi">10.4067/s0718-58392014000300011</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B17">
        <label>17.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">M. Legwaila, G., K. Marokane, T. and Mojeremane, W. (2012) Effects of Intercropping on the Performance of Maize and Cowpeas in Botswana. <italic>International Journal of Agriculture and Forestry</italic>, 2, 307-310. https://doi.org/10.5923/j.ijaf.20120206.07 <pub-id pub-id-type="doi">10.5923/j.ijaf.20120206.07</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5923/j.ijaf.20120206.07">https://doi.org/10.5923/j.ijaf.20120206.07</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Legwaila, G.</string-name>
              <string-name>Marokane, T.</string-name>
              <string-name>Mojeremane, W.</string-name>
            </person-group>
            <year>2012</year>
            <article-title>Effects of Intercropping on the Performance of Maize and Cowpeas in Botswana</article-title>
            <source>International Journal of Agriculture and Forestry</source>
            <volume>2</volume>
            <pub-id pub-id-type="doi">10.5923/j.ijaf.20120206.07</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B18">
        <label>18.</label>
        <citation-alternatives>
          <mixed-citation publication-type="book">Cameron, R.W.F. (2003) Plants and the Environment | Amenity Horticulture. In: Thomas, B., Ed., <italic>Encyclopedia of Applied Plant Sciences</italic>, Elsevier, 735-741. https://doi.org/10.1016/b0-12-227050-9/00221-0 <pub-id pub-id-type="doi">10.1016/b0-12-227050-9/00221-0</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/b0-12-227050-9/00221-0">https://doi.org/10.1016/b0-12-227050-9/00221-0</ext-link></mixed-citation>
          <element-citation publication-type="book">
            <person-group person-group-type="author">
              <string-name>Cameron, R.W.F.</string-name>
              <string-name>Thomas, B.</string-name>
              <string-name>Sciences, E</string-name>
            </person-group>
            <year>2003</year>
            <article-title>Plants and the Environment | Amenity Horticulture</article-title>
            <source>In: Thomas</source>
            <volume>735</volume>
            <pub-id pub-id-type="doi">10.1016/b0-12-227050-9/00221-0</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B19">
        <label>19.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Abdul Rahman, N., Larbi, A., Kotu, B., Asante, M.O., Akakpo, D.B., Mellon‐Bedi, S., <italic>et al</italic>. (2021) Maize-Legume Strip Cropping Effect on Productivity, Income, and Income Risk of Farmers in Northern Ghana. <italic>Agronomy Journal</italic>, 113, 1574-1585. https://doi.org/10.1002/agj2.20536 <pub-id pub-id-type="doi">10.1002/agj2.20536</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1002/agj2.20536">https://doi.org/10.1002/agj2.20536</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Rahman, N.</string-name>
              <string-name>Larbi, A.</string-name>
              <string-name>Kotu, B.</string-name>
              <string-name>Asante, M.O.</string-name>
              <string-name>Akakpo, D.B.</string-name>
              <string-name>Bedi, S.</string-name>
              <string-name>Productivity, I</string-name>
            </person-group>
            <year>2021</year>
            <article-title>Maize-Legume Strip Cropping Effect on Productivity, Income, and Income Risk of Farmers in Northern Ghana</article-title>
            <source>Agronomy Journal</source>
            <volume>113</volume>
            <pub-id pub-id-type="doi">10.1002/agj2.20536</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B20">
        <label>20.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Addo-Quaye, A.A., Darkwa, A.A. and Ocloo, G.K. (2011) Growth Analysis of Component Crops in a Maize-Soybean Intercropping System as Affected by Time of Planting and Spatial Arrangement. <italic>Journal of Agricultural and Biological Sciences</italic>, 6, 34-44.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Addo-Quaye, A.A.</string-name>
              <string-name>Darkwa, A.A.</string-name>
              <string-name>Ocloo, G.K.</string-name>
            </person-group>
            <year>2011</year>
            <article-title>Growth Analysis of Component Crops in a Maize-Soybean Intercropping System as Affected by Time of Planting and Spatial Arrangement</article-title>
            <source>Journal of Agricultural and Biological Sciences</source>
            <volume>6</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B21">
        <label>21.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Dapaah, H.K., Asafu-Agyei, J.N., Ennin, S.A. and Yamoah, C. (2003) Yield Stability of Cassava, Maize, Soya Bean and Cowpea Intercrops. <italic>The Journal of Agricultural Science</italic>, 140, 73-82. https://doi.org/10.1017/s0021859602002770 <pub-id pub-id-type="doi">10.1017/s0021859602002770</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/s0021859602002770">https://doi.org/10.1017/s0021859602002770</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Dapaah, H.K.</string-name>
              <string-name>Asafu-Agyei, J.N.</string-name>
              <string-name>Ennin, S.A.</string-name>
              <string-name>Yamoah, C.</string-name>
              <string-name>Cassava, M</string-name>
            </person-group>
            <year>2003</year>
            <article-title>Yield Stability of Cassava, Maize, Soya Bean and Cowpea Intercrops</article-title>
            <source>The Journal of Agricultural Science</source>
            <volume>140</volume>
            <pub-id pub-id-type="doi">10.1017/s0021859602002770</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B22">
        <label>22.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Thorat, A. and Gadewar, D.R. (2013) Variability and Correlation Studies in Cowpea ( <italic>Vigna unguiculata</italic>). <italic>International Journal for Environmental Rehabilitation and Conservation</italic>, 4, Article 44.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Thorat, A.</string-name>
              <string-name>Gadewar, D.R.</string-name>
            </person-group>
            <year>2013</year>
            <article-title>Variability and Correlation Studies in Cowpea (Vigna unguiculata)</article-title>
            <source>International Journal for Environmental Rehabilitation and Conservation</source>
            <volume>4</volume>
            <elocation-id>44</elocation-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B23">
        <label>23.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Khanpara, S.V., Jivani, L.L., Vachhani, J.H. and Kachhadia, V.H. (2016) Genetic Variability, Heritability and Genetic Advance Studies in Vegetable Cowpea [ <italic>Vigna unguiculata</italic> (L.) Walp.]. <italic>Electronic Journal of Plant Breeding</italic>, 7, Article 408. https://doi.org/10.5958/0975-928x.2016.00050.8 <pub-id pub-id-type="doi">10.5958/0975-928x.2016.00050.8</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5958/0975-928x.2016.00050.8">https://doi.org/10.5958/0975-928x.2016.00050.8</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Khanpara, S.V.</string-name>
              <string-name>Jivani, L.L.</string-name>
              <string-name>Vachhani, J.H.</string-name>
              <string-name>Kachhadia, V.H.</string-name>
              <string-name>Variability, H</string-name>
            </person-group>
            <year>2016</year>
            <article-title>Genetic Variability, Heritability and Genetic Advance Studies in Vegetable Cowpea [Vigna unguiculata (L</article-title>
            <source>) Walp.]. Electronic Journal of Plant Breeding</source>
            <volume>7</volume>
            <elocation-id>408</elocation-id>
            <pub-id pub-id-type="doi">10.5958/0975-928x.2016.00050.8</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B24">
        <label>24.</label>
        <citation-alternatives>
          <mixed-citation publication-type="confproc">Ogola, J.B.O., Mathews, C. and Magongwa, S.M. (2013) The Productivity of Cassava-legume Intercropping System in a Dry Environment in Nelspruit, South Africa. <italic>African Crop Science Conference Proceedings</italic>, 11.</mixed-citation>
          <element-citation publication-type="confproc">
            <person-group person-group-type="author">
              <string-name>Ogola, J.B.O.</string-name>
              <string-name>Mathews, C.</string-name>
              <string-name>Magongwa, S.M.</string-name>
              <string-name>Nelspruit, S</string-name>
            </person-group>
            <year>2013</year>
            <article-title>The Productivity of Cassava-legume Intercropping System in a Dry Environment in Nelspruit, South Africa</article-title>
            <source>African Crop Science Conference Proceedings</source>
            <volume>11</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B25">
        <label>25.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Salama, H.S.A. and Abdel-Moneim, M.H. (2021) Maximizing Land Use Efficiency and Productivity of Soybean and Fodder Maize Intercrops through Manipulating Sowing Schedule and Maize Harvest Regime. <italic>Agronomy</italic>, 11, Article 863. https://doi.org/10.3390/agronomy11050863 <pub-id pub-id-type="doi">10.3390/agronomy11050863</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/agronomy11050863">https://doi.org/10.3390/agronomy11050863</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Salama, H.S.A.</string-name>
              <string-name>Abdel-Moneim, M.H.</string-name>
            </person-group>
            <year>2021</year>
            <article-title>Maximizing Land Use Efficiency and Productivity of Soybean and Fodder Maize Intercrops through Manipulating Sowing Schedule and Maize Harvest Regime</article-title>
            <source>Agronomy</source>
            <volume>11</volume>
            <elocation-id>863</elocation-id>
            <pub-id pub-id-type="doi">10.3390/agronomy11050863</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B26">
        <label>26.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Himmelstein, J., Ares, A., Gallagher, D. and Myers, J. (2016) A Meta-Analysis of Intercropping in Africa: Impacts on Crop Yield, Farmer Income, and Integrated Pest Management Effects. <italic>International Journal of Agricultural Sustainability</italic>, 15, 1-10. https://doi.org/10.1080/14735903.2016.1242332 <pub-id pub-id-type="doi">10.1080/14735903.2016.1242332</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1080/14735903.2016.1242332">https://doi.org/10.1080/14735903.2016.1242332</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Himmelstein, J.</string-name>
              <string-name>Ares, A.</string-name>
              <string-name>Gallagher, D.</string-name>
              <string-name>Myers, J.</string-name>
              <string-name>Yield, F</string-name>
            </person-group>
            <year>2016</year>
            <article-title>A Meta-Analysis of Intercropping in Africa: Impacts on Crop Yield, Farmer Income, and Integrated Pest Management Effects</article-title>
            <source>International Journal of Agricultural Sustainability</source>
            <volume>15</volume>
            <pub-id pub-id-type="doi">10.1080/14735903.2016.1242332</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B27">
        <label>27.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Atis, I., Konuskan, O., Duru, M., Gozubenli, H. and Yilmaz, S. (2012) Effect of Harvesting Time on Yield, Composition and Forage Quality of Some Forage Sorghum Cultivars. <italic>International Journal of Agriculture and Biology</italic>, 14, 879-881.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Atis, I.</string-name>
              <string-name>Konuskan, O.</string-name>
              <string-name>Duru, M.</string-name>
              <string-name>Gozubenli, H.</string-name>
              <string-name>Yilmaz, S.</string-name>
              <string-name>Yield, C</string-name>
            </person-group>
            <year>2012</year>
            <article-title>Effect of Harvesting Time on Yield, Composition and Forage Quality of Some Forage Sorghum Cultivars</article-title>
            <source>International Journal of Agriculture and Biology</source>
            <volume>14</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
    </ref-list>
  </back>
</article>