<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AS</journal-id><journal-title-group><journal-title>Agricultural Sciences</journal-title></journal-title-group><issn pub-type="epub">2156-8553</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/as.2023.1412106</article-id><article-id pub-id-type="publisher-id">AS-129755</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Impacts of Agroecological Technologies Adoption on Agricultural Yield and Income for Millet and Cowpea Producers from Maradi and Zinder Regions in Niger
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rabé</surname><given-names>M. Moctar</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Issaka</surname><given-names>R. Salissou</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Maman</surname><given-names>Chedi</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Baoua</surname><given-names>Ibrahim</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Cabinet Sahel, Maradi, Niger</addr-line></aff><aff id="aff4"><addr-line>Faculty of Agronomy and Environmental Sciences, Dan Dicko Dankoulodo University of Maradi, Maradi, Niger</addr-line></aff><aff id="aff3"><addr-line>SFR-RACINES, University Abdou Moumouni of Niamey, Niamey, Niger</addr-line></aff><aff id="aff1"><addr-line>Faculty of Agricultural Sciences, Djibo Hamani University of Tahoua, Tahoua, Niger</addr-line></aff><pub-date pub-type="epub"><day>06</day><month>12</month><year>2023</year></pub-date><volume>14</volume><issue>12</issue><fpage>1643</fpage><lpage>1652</lpage><history><date date-type="received"><day>10,</day>	<month>October</month>	<year>2023</year></date><date date-type="rev-recd"><day>10,</day>	<month>December</month>	<year>2023</year>	</date><date date-type="accepted"><day>13,</day>	<month>December</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This article assesses the impacts of agroecological technologies adoption on the agricultural yields and incomes for millet and cowpea producers in Niger from both Maradi and Zinder regions. For this purpose, a set of descriptive statistics methods are applied to data collected from 1950 producers from 80 villages. Results indicate that the density of semi, HPK variety, compost and IT 90 variety are the most adopted agroecological technologies with respective adoption rates of 87%, 69%, 64.3% and 64%. Moreover, results show that millet producers that adopted agro-ecological technologies have on average multiplied by 2.00 and 2.96 times their production, in Zinder and Maradi regions respectively. Besides, findings reveal that cowpea producers that adopted agro-ecological technologies have on average multiplied by 2.00 and 3.21 times their production, in Zinder and Maradi regions respectively. Finally, results support that the improvement in millet and cowpea yields has led to increase in producers’ total income by 2 and 3 times respectively in Zinder and Maradi regions. Since agroecological technologies improve agricultural yields and income, we suggest policy makers to recommend their adoption and diffusion.
 
</p></abstract><kwd-group><kwd>Agroecological Technologies</kwd><kwd> Agricultural Yields</kwd><kwd> Agricultural Income</kwd><kwd> Niger</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Agriculture is the main activity of more than 87% of people who lives in Niger [<xref ref-type="bibr" rid="scirp.129755-ref1">1</xref>] . This activity faces enormous difficulties related to climatic hazards (spatio-temporal irregularity of rainfall) and soil poverty, which largely explains low yields and strong variations in agricultural production. This drop in yields is also attributed to a number of factors. More precisely, this concerns the weak supervision of producers, the inaccessibility to agricultural innovations and the low use of improved varieties [<xref ref-type="bibr" rid="scirp.129755-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.129755-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.129755-ref4">4</xref>] .</p><p>Although, many integrated soil fertility management technologies have been developed in the region, very few farmers use them. Indeed, the low use of improved production techniques has caused a continuous decline in agricultural production per capita [<xref ref-type="bibr" rid="scirp.129755-ref5">5</xref>] . Productivity improvement should be considered. This improvement can only be achieved through the use of technologies that can not only increase soil fertility but also optimize the yield of crops including millet (Pennisetum glaucum L. Br.) and cowpea (Vigna ungiculata L. Walp) which are the main crops cultivated by producers. Since 2014, the project to support food security through agro-ecological intensification has been working in the regions of Maradi and Zinder to popularize a package of agro-ecological technologies (improved seeds, compost, RNA, Zai, alternating strip cultivation, biopesticide, biological control, PICS bags) through the conduct of demonstration fields. This study aims to assess the effect of agroecological technologies on the agricultural yield and income of millet and cowpea producers in the Maradi and Zinder regions.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Sites</title><p>The study was carried out in both Maradi and Zinder regions. There are 80 villages in the project area, including 60 villages from Maradi and 20 villages from Zinder. The two regions are located in the central part of Niger and experienced Sahelo-Sudanian climate where annual rainfall goes from 350 mm to 500 mm.</p></sec><sec id="s2_2"><title>2.2. Sampling</title><p>The size sample of the study is constituted of 1095 producers, including 37.96% of women who were trained by the project.</p></sec><sec id="s2_3"><title>2.3. Questionnaire</title><p>The questionnaire used is a digital ODK collect program. The survey was conducted using tablets to collect responses from targeted producers. The survey is subdivided into several parts including: 1) the socio-economic characteristics of respondents, 2) the adoption of disseminated technologies, 3) the number of producers who use and continue to use the disseminated technologies, 4) yield and income before and after the use of technologies, 5) producers’ perception of agro-ecological technologies.</p></sec><sec id="s2_4"><title>2.4. Data Collection and Analysis</title><p>Data collection was done with Kobo collect software using tablets. The analysis of variances was used to compare the level of education of producers, the sources of income, the level of adoption of technologies and the peasant perception of technologies between the two regions. The t-test was used to compare returns and revenues obtained before and after the use of technologies. These analyses were performed with the SPSS 22 software.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Producer Characteristics</title><p>The analysis of the level of education shows that on average 76% of producers are educated and the remainder 24% are illiterate. Specifically, 99.3% of producers from Zinder are educated while only 54.2% of producers from Maradi region are educated. The analysis of the data reveals significant differences between educated and illiterate producers between the two regions. Indeed, 91.8% of all producers from the region of Zinder are Quranic while those of Maradi account for 24%. Also, the percentage of illiterates is 36.8% in the Maradi region, while it is 0.7% in the Zinder region (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_2"><title>3.2. Effect of dose and Treatments (Production Residue and Cow Dung) on Growth Parameters</title><p>The two-factor analysis of variance (<xref ref-type="table" rid="table2">Table 2</xref>) shows that stem length, collar diameter, and leaf number are strongly influenced by the interaction of treatment type and rate.</p><p>Irrespective to agricultural income, alternatives are available to producers to earn their life. There are some important sources of income for them such as: trade, daily work, livestock and crafts (<xref ref-type="table" rid="table2">Table 2</xref>). Other less important sources of income exist such as the exodus to the Maghreb, Nigeria or the cities of Niger the market gardening and begging. Analysis of the data in <xref ref-type="table" rid="table2">Table 2</xref> also reveals that 10.3% of respondents find their income solely from agriculture.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Producer’s education level</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Education Level</th><th align="center" valign="middle" >Maradi</th><th align="center" valign="middle" >Zinder</th><th align="center" valign="middle" >Average</th><th align="center" valign="middle"  colspan="2"  >Average Significance</th></tr></thead><tr><td align="center" valign="middle" >Quranic study</td><td align="center" valign="middle" >24.0</td><td align="center" valign="middle" >91.8</td><td align="center" valign="middle" >48.1</td><td align="center" valign="middle" >462.66</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Alphabetized</td><td align="center" valign="middle" >27.0</td><td align="center" valign="middle" >05.4</td><td align="center" valign="middle" >19.3</td><td align="center" valign="middle" >75.06</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >09.2</td><td align="center" valign="middle" >01.3</td><td align="center" valign="middle" >06.4</td><td align="center" valign="middle" >26.43</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >03.0</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >02.2</td><td align="center" valign="middle" >05.71</td><td align="center" valign="middle" >**</td></tr><tr><td align="center" valign="middle" >Illiterate</td><td align="center" valign="middle" >36.8</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >24.0</td><td align="center" valign="middle" >179.41</td><td align="center" valign="middle" >***</td></tr></tbody></table></table-wrap><p>**p &lt; 0.05; ***p &lt; 0.001.</p></sec><sec id="s3_3"><title>3.3. Agricultural Yields and Crop System in Regions</title><p>Data analysis in <xref ref-type="table" rid="table3">Table 3</xref> shows that millet yield before technology use is 391.57 kg/ha for the Maradi region and 355.51 kg/ha for the Zinder region. There is therefore no significant difference between the two regions without technologies (t: 1.562, dl: 754, p 0.001). The millet yield after the use of technologies is 1160.45 kg/ha and 741.62 kg/ha respectively for the Maradi and Zinder region. It is thus 2.96 times higher than the yield before use of technologies in the Maradi region and 2.10 times higher for the Zinder region. The use of technologies therefore has a significant influence on yield for the two regions (t: 6.104, dl: 753, p &lt; 0.001) with an increase of 768.88 kg/ha for Maradi and 386.11 kg/ha for Zinder compared to yield without technologies.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Other sources of producer income</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Income sources</th><th align="center" valign="middle" >Maradi</th><th align="center" valign="middle" >Zinder</th><th align="center" valign="middle" >Average</th><th align="center" valign="middle" >χ<sup>2</sup></th><th align="center" valign="middle" >Average Significance</th></tr></thead><tr><td align="center" valign="middle" >Trade</td><td align="center" valign="middle" >63.1</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >44.6</td><td align="center" valign="middle" >275.83</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Breeding</td><td align="center" valign="middle" >10.6</td><td align="center" valign="middle" >58.2</td><td align="center" valign="middle" >27.6</td><td align="center" valign="middle" >284.44</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Daily work</td><td align="center" valign="middle" >42.4</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >31.2</td><td align="center" valign="middle" >115.16</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Handicraft</td><td align="center" valign="middle" >34.5</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >22.3</td><td align="center" valign="middle" >169.7</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Market gardening</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" >136.87</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Begging</td><td align="center" valign="middle" >20.3</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >13.1</td><td align="center" valign="middle" >90.98</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Exodus to cities Niger</td><td align="center" valign="middle" >17.3</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >11.5</td><td align="center" valign="middle" >65.35</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Exodus to Algeria</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3.6</td><td align="center" valign="middle" >22.37</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Exodus to Libya</td><td align="center" valign="middle" >8.4</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >5.4</td><td align="center" valign="middle" >34.39</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Exodus to Nigeria</td><td align="center" valign="middle" >10.5</td><td align="center" valign="middle" >6.4</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >5.09</td><td align="center" valign="middle" >**</td></tr><tr><td align="center" valign="middle" >Nothing</td><td align="center" valign="middle" >5.7</td><td align="center" valign="middle" >18.7</td><td align="center" valign="middle" >10.3</td><td align="center" valign="middle" >46.16</td><td align="center" valign="middle" >***</td></tr></tbody></table></table-wrap><p>**p &lt; 0.05; ***p &lt; 0.001.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Average yield (kg/ha) of millet and cowpea by region</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >Yield before</th><th align="center" valign="middle" >Yield after</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Millet</td></tr><tr><td align="center" valign="middle" >Maradi</td><td align="center" valign="middle" >391.57 &#177; 202.957</td><td align="center" valign="middle" >1160.45 &#177; 595.146</td></tr><tr><td align="center" valign="middle" >Zinder</td><td align="center" valign="middle" >355.51 &#177; 430.271</td><td align="center" valign="middle" >741.62 &#177; 1283.997</td></tr><tr><td align="center" valign="middle" >t-test</td><td align="center" valign="middle" >t = 1.562. dl = 754. p &gt; 0.119</td><td align="center" valign="middle" >t = 6.104. dl = 753. p &lt; 0.001</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Cowpea</td></tr><tr><td align="center" valign="middle" >Maradi</td><td align="center" valign="middle" >276.45 &#177; 162.593</td><td align="center" valign="middle" >889.87 &#177; 615.755</td></tr><tr><td align="center" valign="middle" >Zinder</td><td align="center" valign="middle" >283.14 &#177; 285.167</td><td align="center" valign="middle" >569.46 &#177; 523.011</td></tr><tr><td align="center" valign="middle" >t-test</td><td align="center" valign="middle" >t = −0.412. dl = 759. p &gt; 0.680</td><td align="center" valign="middle" >t = 7.232. dl = 758. p &lt; 0.001</td></tr></tbody></table></table-wrap><p>For cowpea, the yield before the use of technologies is relatively identical between the two regions: 276.45 kg/ha for Maradi and 283.14 kg/ha for Zinder. After using technologies this yield account for 889.87 kg/ha in Maradi and 569.46 kg/ha in Zinder. The difference is thus significant (t: 7.232, dl: 758, p &lt; 0.001) with an increase of 320.40 kg/ha in favor of the region of Maradi. In addition, the use of technologies allows to increase the cowpea yield by 613.42 kg/ha in the Maradi region and 286.32 kg/ha in the Zinder region.</p><p><xref ref-type="table" rid="table4">Table 4</xref> and <xref ref-type="table" rid="table5">Table 5</xref> show millet and cowpea yields by cropping system. Without technologies, millet yield is 373.56 kg/ha and cowpea yield is 279.79 kg/ha. Statistical analysis shows a significant difference by crop system (F = 8.92 dl = 2 p &lt; 0.001) of millet and cowpea (F = 26.40 dl = 2 p &lt; 0.001) due to the use of technologies. The yield of millet under Zai is thus 1.08 and 1.43 times higher than that in band and pure respectively. Also, the yield of cowpea in Zai is 1.05 and 1.51 times higher than in strip and pure respectively. On the other hand, the respondents recorded increases in millet yield of 474.88 kg/ha, 754.42 kg/ha and 844.88 kg/ha with the system in pure, band and Zai respectively compared to the yield before the use of technologies. For cowpea, increases of 323.68 kg/ha in pure culture, 587.47 kg/ha in strip and 634.96 kg/ha in Zai are obtained in relation to yield without the use of technologies.</p><p>Analysis of the data in <xref ref-type="table" rid="table6">Table 6</xref> shows that millet yield with technology (950.81 kg/ha) is 2.5 times higher than without the use of technology (373.56 kg/ha). For</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Average millet yield (kg/ha) by crop system</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >System</th><th align="center" valign="middle" >Yield before</th><th align="center" valign="middle" >Yield after</th></tr></thead><tr><td align="center" valign="middle" >In pur</td><td align="center" valign="middle"  rowspan="4"  >373.56 &#177; 316.614</td><td align="center" valign="middle" >848.44 &#177; 1147.911</td></tr><tr><td align="center" valign="middle" >In band</td><td align="center" valign="middle" >1127.98 &#177; 696.983</td></tr><tr><td align="center" valign="middle" >In Zai</td><td align="center" valign="middle" >1218.44 &#177; 534.395</td></tr><tr><td align="center" valign="middle" >t-test</td><td align="center" valign="middle" >F = 8.92 dl = 2 p &lt; 0.001</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Average yield (kg/ha) of IT90 cowpea by cropping system</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Syst&#232;mes</th><th align="center" valign="middle" >Yield before</th><th align="center" valign="middle" >Yield after</th></tr></thead><tr><td align="center" valign="middle" >In pur</td><td align="center" valign="middle"  rowspan="4"  >279.795 &#177; 223.88</td><td align="center" valign="middle" >603.48 &#177; 425.801</td></tr><tr><td align="center" valign="middle" >In band</td><td align="center" valign="middle" >867.27 &#177; 688.744</td></tr><tr><td align="center" valign="middle" >In Zai</td><td align="center" valign="middle" >914.76 &#177; 540.538</td></tr><tr><td align="center" valign="middle" >t-test</td><td align="center" valign="middle" >F = 26.40 dl = 2 p &lt; 0.001</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Average yield of millet and cowpea (kg/ha) before and after Agroecological Technologies Adoption</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Crops</th><th align="center" valign="middle" >Yield before</th><th align="center" valign="middle" >Yield after</th></tr></thead><tr><td align="center" valign="middle" >Millet</td><td align="center" valign="middle" >373.56 &#177; 316.614</td><td align="center" valign="middle" >950.81 &#177; 939.57</td></tr><tr><td align="center" valign="middle" >Cowpea</td><td align="center" valign="middle" >279.795 &#177; 223.88</td><td align="center" valign="middle" >729.665 &#177; 569.383</td></tr></tbody></table></table-wrap><p>cowpea, yield with technology is 2.6 times higher than without technology. This means that the application of technologies significantly improves crop yields. Yields increased by 60.71% for millet and 61.65% for cowpea.</p></sec><sec id="s3_4"><title>3.4. Farm Income of Surveyed Producers</title><p>The data analysis shows that without the technologies, the agricultural income of Maradi producers is 1.37 times higher than that of Zinder producers. Thus, the use of technologies has allowed Maradi producers to record an increase in income of 110,615 CFA francs, 2.12 times that of their peers in Zinder. In addition, the use of technologies increased the income of Maradi producers by 142,874 CFA francs and that of Zinder respondents by 50,359 CFA francs compared to income before the use of technologies (<xref ref-type="table" rid="table7">Table 7</xref>).</p><p>Moreover, the use of technology has allowed producers to obtain income (169,510 CFA francs) 2.83 times higher than without technology (59,766 CFA francs). Thus, this increase in income is estimated at 64.74%.</p><p>Rate of adoption of agricultural technologies</p><p>Analysis of the data in <xref ref-type="table" rid="table8">Table 8</xref> shows that the rate of technology adoption</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Agricultural income per hectare (CFAF)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >Income before</th><th align="center" valign="middle" >Income after</th></tr></thead><tr><td align="center" valign="middle" >Maradi</td><td align="center" valign="middle" >66,212 &#177; 55,989</td><td align="center" valign="middle" >209,086 &#177; 151,320</td></tr><tr><td align="center" valign="middle" >Zinder</td><td align="center" valign="middle" >48,112 &#177; 44,059</td><td align="center" valign="middle" >98,471 &#177; 78,885</td></tr><tr><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >59,766 &#177; 52,751</td><td align="center" valign="middle" >169,510 &#177; 140,387</td></tr><tr><td align="center" valign="middle" >t-test</td><td align="center" valign="middle" >t = 5509; p &lt; 0.05</td><td align="center" valign="middle" >t = 13,458; p &lt; 0.001</td></tr></tbody></table></table-wrap><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Technology adoption by region</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Technologies</th><th align="center" valign="middle" >Maradi</th><th align="center" valign="middle" >Zinder</th><th align="center" valign="middle" >Average</th><th align="center" valign="middle" >χ<sup>2</sup></th><th align="center" valign="middle" >Average Significance</th></tr></thead><tr><td align="center" valign="middle" >Variety IT90</td><td align="center" valign="middle" >62.8</td><td align="center" valign="middle" >66.2</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >1.19</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >Variety HKP</td><td align="center" valign="middle" >68.2</td><td align="center" valign="middle" >70.5</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >0.61</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >Sowing density</td><td align="center" valign="middle" >85.7</td><td align="center" valign="middle" >89.5</td><td align="center" valign="middle" >87</td><td align="center" valign="middle" >3.23</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >Biopesticid</td><td align="center" valign="middle" >56.5</td><td align="center" valign="middle" >58.7</td><td align="center" valign="middle" >57.3</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >Biological control</td><td align="center" valign="middle" >54.8</td><td align="center" valign="middle" >67.9</td><td align="center" valign="middle" >59.5</td><td align="center" valign="middle" >18.14</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Compost</td><td align="center" valign="middle" >76.6</td><td align="center" valign="middle" >42.1</td><td align="center" valign="middle" >64.3</td><td align="center" valign="middle" >130.51</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >RNA</td><td align="center" valign="middle" >51.9</td><td align="center" valign="middle" >71.3</td><td align="center" valign="middle" >58.8</td><td align="center" valign="middle" >38.88</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Strip culture</td><td align="center" valign="middle" >36.5</td><td align="center" valign="middle" >19.7</td><td align="center" valign="middle" >30.5</td><td align="center" valign="middle" >33.07</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Zai</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >4.6</td><td align="center" valign="middle" >25.81</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >PICS bag</td><td align="center" valign="middle" >28.9</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >18.9</td><td align="center" valign="middle" >129.94</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >More than 3 technologies</td><td align="center" valign="middle" >96.3</td><td align="center" valign="middle" >98.7</td><td align="center" valign="middle" >97.2</td><td align="center" valign="middle" >5.28</td><td align="center" valign="middle" >**</td></tr></tbody></table></table-wrap><p>**p &lt; 0.05, ***p &lt; 0.001, ns: not significant.</p><p>varies from 87% to 4.6%. Adoption rates of more than 50% were recorded with the following technologies: seedling density, improved varieties HKP and IT90, compost, biological control, RNA and biopesticide. The weakly adopted technologies are: strip cultivation, PICS bag and Zai. Thus, 97.2% of producers adopted more than 3 technologies with a significant difference between the two regions at the threshold of 5%. In addition, there are significant differences between the two regions when it comes to adoption of biological control technologies, compost, NAS, strip cultivation, Zai and PICS bag.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Technologies to improve production have been developed in the Maradi and Zinder region, with the aim of boosting farmers’ production to a satisfactory level. The use of these technologies is established with farmers with a diverse level of education, more than 22% of producers are illiterate, 48.1% of producers have attended Koranic school and finally 25.7% of producers do not exceed the primary level. These results confirm those of [<xref ref-type="bibr" rid="scirp.129755-ref6">6</xref>] reporting in a study conducted in Burkina Faso in the three communes of Djibasso, Dori and Ziou, respectively 100%; 91.11% and 80.61% of producers not educated and close to those of [<xref ref-type="bibr" rid="scirp.129755-ref7">7</xref>] where they report only 14.2% of producers are literate on in their studied sample. Apart from agriculture as the main activity, producers formulate alternatives to meet their daily needs, trade, daily work, livestock and crafts. However, the data collected show that the millet and cowpea cultivation using technologies would be very important in the regions of Maradi and Zinder. The yield of millet before the use of technologies is 391.57 kg/ha for the Maradi region and 355.51 kg/ha for the Zinder region. Millet yield after technology use ranged from 1160.45 kg/ha to 741.62 kg/ha respectively for the Maradi and Zinder region, averaging 1010.67 kg/ha. The yield was therefore 2.96 times higher than before technology use in the Maradi region and 2.10 times higher for the Zinder region. The use of technologies therefore has a significant influence on yield between the two regions with an increase of 768.88 kg/ha for Maradi and 386.11 kg/ha for Zinder compared to performance without technologies. These results are similar to the study conducted by [<xref ref-type="bibr" rid="scirp.129755-ref8">8</xref>] noting that the yield of millet and sorghum improved with the application of the microdose fertilizer technique and join those of [<xref ref-type="bibr" rid="scirp.129755-ref9">9</xref>] and [<xref ref-type="bibr" rid="scirp.129755-ref10">10</xref>] reporting yield increase with the application of new agricultural technique. According to [<xref ref-type="bibr" rid="scirp.129755-ref11">11</xref>] , the majority of producers (62.2%) in the region do not practice any control technology on cowpea, which explains the low regional average cowpea yield of 368 kg/ha [<xref ref-type="bibr" rid="scirp.129755-ref12">12</xref>] and 298 kg/ha cowpea [<xref ref-type="bibr" rid="scirp.129755-ref13">13</xref>] . The results obtained from cowpea cultivation before the use of technologies are relatively close to the [<xref ref-type="bibr" rid="scirp.129755-ref13">13</xref>] and [<xref ref-type="bibr" rid="scirp.129755-ref12">12</xref>] , 276.45 kg/ha for Maradi and 283.14 kg/ha for Zinder. With the use of technologies, the yield ranged from 889.87 kg/ha in Maradi and 569.46 kg/ha in Zinder, averaging 776.04 kg/ha. The yield was therefore 3.21 times higher than the yield before the use of technologies for the Maradi region and 2.01 times more important for the Zinder region. Cowpea yields increased by 613.42 kg/ha in the Maradi region and 286.32 kg/ha in the Zinder region. These results corroborate those of [<xref ref-type="bibr" rid="scirp.129755-ref14">14</xref>] , reporting a significant increase in yield in the use of technologies including the aqueous extract of Neem seeds in rural areas in the Zinder region. The respondents recorded increases in millet yield with the application of different production systems, the yield is 474.88 kg/ha, 754.42 kg/ha and 844.88 kg/ha with the system in pure, band and Zai respectively in relation to the yield before the use of the technologies.</p><p>For cowpea, increases of 323.68 kg/ha in pure culture, 587.47 kg/ha in strip and 634.96 kg/ha in Zai are obtained in relation to yield without the use of technologies. These data are similar to those of [<xref ref-type="bibr" rid="scirp.129755-ref15">15</xref>] reporting that stone cords and zai, associated with microdose, improve production.</p><p>These yields obtained in both regions are higher than those recently announced in national statistics which are 371 kg/ha for cowpea and 658 kg/ha for millet [<xref ref-type="bibr" rid="scirp.129755-ref12">12</xref>] . The disparity in yield between two regions is explained by the control of technologies application by producers of Maradi as those of Zinder. In addition, the Maradi region has benefited from several interventions in the transfer of agricultural technologies than the Zinder region. The agricultural income of the producers of Maradi without the technologies is 66,212 FCFA against that of Zinder which is 48,112 FCFA, with an average income of 59,766 FCFA. These results are different from those found by [<xref ref-type="bibr" rid="scirp.129755-ref14">14</xref>] in a study conducted in the Zinder and Maradi region, reporting an average income of 58,900 CFA francs from cowpea cultivation in the Zinder region and 25,000 CFA francs per ha in the Maradi region. Moreover, the application of technologies allowed producers to obtain income (169,510 CFA francs) 2.83 times higher than without technology (59,766 CFA francs). Thus, this increase in income is estimated at 64.74%. The adoption of the technology by producers was highlighted in the study area. Thus, 97.2% of producers adopted more than 3 technologies with a significant difference between the two regions at the threshold of 5%. In addition, there are significant differences between the two regions in the adoption of biological control technologies, compost, NAS, strip cultivation, Zai and PICS bag.</p></sec><sec id="s5"><title>5. Conclusion</title><p>It emerges from this study that millet and cowpea are important speculations of Nigerien family farming. The yield of these crops is low due to biotic pressures and edaphic constraints. The adoption of agroecological practices for millet and cowpea production plays an important role in the development of these crops and the improvement of their yield and household agricultural income. The adoption rate of these technologies has improved significantly compared to previous years with over 90% of respondents adopting at least 3 agroecological technologies. Promoting the use of agroecological techniques can help producers reduce pest losses and increase yields and income. Thus, research to support producers seems necessary to improve the adoption rate of PICS and Zai bags which are still low. Continue the vulgarization of these technologies using the participatory concept of peasant school field.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We thank the Sahel Bio cabinet which financed this study as part of the activities of the agroecological intensification for food security project.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Moctar, R.M., Salissou, I.R., Chedi, M. and Ibrahim, B. (2023) Impacts of Agroecological Technologies Adoption on Agricultural Yield and Income for Millet and Cowpea Producers from Maradi and Zinder Regions in Niger. Agricultural Sciences, 14, 1643-1652. https://doi.org/10.4236/as.2023.1412106</p></sec></body><back><ref-list><title>References</title><ref id="scirp.129755-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">INS (Institut National de Statistique) (2015) Agriculture and Living Conditions of Households in Niger. 72 p. http://www.statniger.org/statistique/file/DSEDS/Dossier%20COMSITE%20DSEDS/DEPDD/Agriculture_Conditions_de_vie_menages.pdf</mixed-citation></ref><ref id="scirp.129755-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Serme, I., Outtara, K., Logah, V., Taounda, J.B., Pale, S., Quansah, C. and Abaidoo, R. (2015) Impact of Tillage and Fertility Management Options on Selected Soil Physical Properties and Sorghum Yield. International Journal of Biological and Chemical Sciences, 9, 1154-1170. https://doi.org/10.4314/ijbcs.v9i3.2</mixed-citation></ref><ref id="scirp.129755-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Sani, R.M. and Bagna, A. (2007) Adoption of Improved Seeds of Millet and Cowpea by Farmers in Madarounfa District, Niger Republic. Continental Journal of Agricultural Economics, 1-6.</mixed-citation></ref><ref id="scirp.129755-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">MAG-SDR (2010) Etude sur la mise en place d’un dispositif intégré d’appui conseil pour le développement rural au Niger. Etude sur la mise en place d’un dispositif intégré d’appui conseil pour le développement rural au Niger. Secrétariat exécutif comité interministériel de pilotage de la stratégie de développement rural, 127 p.</mixed-citation></ref><ref id="scirp.129755-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">FAO (2018) FAOSTAT. World Food and Agriculture Statistical Pocketbook. 254 p. http://www.fao.org/3/ca1796en/ca1796en.pdf</mixed-citation></ref><ref id="scirp.129755-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Boly, A., Waongo, A., Kaboré, A., Traore, F., Ba, M.N. and Sanon, A. (2022) Perception des producteurs sur les insectes ravageurs du mil au Burkina Faso: Place de la mineuse de l’épi de mil, Heliocheilus albipunctella De Joannis (Lepidoptera: Noctuidae). Journal of Applied Biosciences, 176, 18322-18341.</mixed-citation></ref><ref id="scirp.129755-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Rabé, M.M., Ibrahim, B., Razack, A., Lawali, S., Laouali, A., Barry, P. and Saadou, M. (2017) Socio-Economic Determinants of the Adoption of Improved Cowpea Production Technologies Disseminated by Peasant School Fields in the Maradi and Zinder Regions of Niger. International Journal of Biological and Chemical Sciences, 11, 744-756.</mixed-citation></ref><ref id="scirp.129755-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Sissoko, P., Berti, F., Gry, S. and Lebailly, P. (2019) Effects of the Adoption of the Fertiliser Microdosing Technique on the Availability and Accessibility of Cereals on Millet and Sorghum Farms in Mali. https://hdl.handle.net/2268/233860</mixed-citation></ref><ref id="scirp.129755-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Saba, F., Taonda, S.J.B., Serme, I., Bandaogo, A.A., Sourwema, A.P. and Kabre, A. (2017) Effects of Microdosis on Cowpea, Millet and Sorghum Production According to Toposequence. https://www.researchgate.net/publication/321911667_</mixed-citation></ref><ref id="scirp.129755-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Mansour, H.A., El-Hady, M.A., Saad, E.I.S.S., Elmabod, S.K.A., Aziz, A.M., Essa, S.F. and Eldwainy, C. (2020) Sustainable Agriculture and Food Challenge and Solution: A Review. Plant Archive, 20, 3218-3223.</mixed-citation></ref><ref id="scirp.129755-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Rabé, M.M., Baoua, I.B., Sitou, L. and Amadou, L. (2017) Peasant School Field, a Participatory Approach for Improving Cowpea Yield: Results of Pilot Experiments Conducted in the Maradi and Zinder Regions of Niger. Agronomie Africaine, 29, 1-9. https://www.ajol.info/index.php/aga/article/view/163178</mixed-citation></ref><ref id="scirp.129755-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">M.A. (2014) Final Results of the 2014 Crop Year; 2014-2015 Food Outlook: Ministry of Agriculture. Statistics Directorate. 32 p. http://www.recaniger.org/IMG/pdf/Resultats_definitifs_Campagne_agricole_2014.pdf</mixed-citation></ref><ref id="scirp.129755-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">INS (National Institute of Statistics) and ICF (International Coach Federation) (2015) Niger Demographic and Health Survey 2012: Synthesis Report. INS and ICF International, Calverton, Maryland. https://ghdx.healthdata.org/record/niger-demographic-and-health-survey-2012</mixed-citation></ref><ref id="scirp.129755-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Abdourahamane, H.M., Baoua, I., Rabe, M.M., Saidou, A.A., Amadou, L. and Tamo, M. (2020) Diagnostic Study of the Main Constraints of Cowpea Culture (Vigna unguiculata L. Walp) in the Regions of Maradi and Zinder in Niger. 12 p.</mixed-citation></ref><ref id="scirp.129755-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Abdourahamane Harouna, M., Baoua, I., Tamo, M., et al. (2018) Etude des paramètres de reproduction et de développement de Clavigralla tomentosicollis St&amp;#229;l, 1855 (Hemiptera: Coreidae) et son incidence sur le rendement du niébé dans la région de Maradi au Niger. Science de la Vie, de la Terre et Agronomie, 6, 42-48. http://publication.lecames.org/index.php/svt/article/download/1297/766</mixed-citation></ref></ref-list></back></article>