<?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.2022.1312081</article-id><article-id pub-id-type="publisher-id">AS-121899</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>
 
 
  Perception and Level of Knowledge of the Fall Armyworm (&lt;i&gt;Spodoptera frugiperda&lt;/i&gt; J.E. Smith) by Maize Farmers in the Southern Agricultural Zone of Niger
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Souleymane</surname><given-names>Laminou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zakari</surname><given-names>Moussa Ousmane</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Laouali</surname><given-names>Amadou</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>Mahaman</surname><given-names>Moctar Rabe</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ibrahim</surname><given-names>Baoua Boukari</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Faculty of Agronomy, Abdou Moumouni University of Niamey, Niamey, Niger</addr-line></aff><aff id="aff3"><addr-line>Laboratoire d’Entomologie II de Maradi, Institut National de la Recherche Agronomique du Niger, Maradi, Niger</addr-line></aff><aff id="aff1"><addr-line>Faculty of Agronomy and Environmental Sciences, Dan Dicko Dankoulodo University of Maradi, Maradi, Niger</addr-line></aff><aff id="aff4"><addr-line>Department of Agroeconomics and Rural Sociology, University of Tahoua, Tahoua, Niger</addr-line></aff><pub-date pub-type="epub"><day>05</day><month>12</month><year>2022</year></pub-date><volume>13</volume><issue>12</issue><fpage>1321</fpage><lpage>1333</lpage><history><date date-type="received"><day>9,</day>	<month>November</month>	<year>2022</year></date><date date-type="rev-recd"><day>19,</day>	<month>December</month>	<year>2022</year>	</date><date date-type="accepted"><day>22,</day>	<month>December</month>	<year>2022</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>
 
 
  Maize is one of the cereals most consumed by households in Niger. Its production remains marginal despite the efforts made in hydro-agricultural development both around the Niger River and in the interior of the country. The detection of the fall armyworm (Spodoptera frugiperda J.E. Smith) in 2016 in Niger, followed by its rapid spread where in less than a year it has spread over almost the entire national territory is not without consequence on the yields of the but already very low in the main production areas. As a result, maize production is increasingly being abandoned in the southern agricultural zone of Niger. In fact, this caterpillar has become a major pest of maize because of the significant damage observed on this crop during its growth and development cycle. This situation calls for research to be conducted to help maize producers better manage this pest. The objective of this study is to assess the level of knowledge and management of FAW by maize farmers in the southern agricultural zone of Niger. A survey was conducted in July and August 2020 on a sample of 408 farmers in this zone using an individual questionnaire designed and integrated into the ODK data collection software. The results obtained showed that 93% of the producers recognize FAW through its morphology and the aspects of its damage; 53.25% estimate that the attack rate is very high and 60.75% of the producers use pesticides in the management of this pest against only 1.5% who use biopesticides. These results clearly indicate the severity of FAW attacks on corn and the massive use of pesticides by producers.
 
</p></abstract><kwd-group><kwd>Fall Armyworm</kwd><kwd> Perception</kwd><kwd> Producer</kwd><kwd> Incidence</kwd><kwd> Niger</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Cereal production, including millet, sorghum, maize, and rice, is the basis of diets in the savannah zones of West and Central Africa. These cereals are grown on a surface area of 98.6 million ha and produce 162 million tons [<xref ref-type="bibr" rid="scirp.121899-ref1">1</xref>]. Among these cereals, Zea mays (L) maize ranks third after rice and wheat in terms of cereal crops (142.7 million/ha) in Africa [<xref ref-type="bibr" rid="scirp.121899-ref2">2</xref>].</p><p>In Niger, maize is produced in an area of 18,928.75 ha, with an estimated overall production of 41,852.73 tons [<xref ref-type="bibr" rid="scirp.121899-ref3">3</xref>].</p><p>However, maize production is faced with pedoclimatic, socioeconomic and biotic constraints [<xref ref-type="bibr" rid="scirp.121899-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref5">5</xref>]. Since 2016, the maize crop has been subject to significant damage from the attack of a new pest Spodoptera frugiperda J.E. Smith [<xref ref-type="bibr" rid="scirp.121899-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref7">7</xref>]. Indeed, this bio-pest was detected for the first time in Niger in the Department of Torodi region of Tillabery in 2016. Spodoptera frugiperda J.E. Smith attacks leaves, flowers before they emerge, and on the cobs of irrigated maize. It is an extremely polyphagous pest observed on more than 80 plant species, with a clear preference for young maize and rice plants [<xref ref-type="bibr" rid="scirp.121899-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref10">10</xref>]. When the wind direction is favorable, the moths can travel longer distances: for example, a flight of 1600 km from the state of Mississippi [<xref ref-type="bibr" rid="scirp.121899-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref11">11</xref>]. Surveys of maize farmers in Kenya and Ethiopia [<xref ref-type="bibr" rid="scirp.121899-ref12">12</xref>] have revealed that FAW is responsible for yield reductions of up to 47%. Similarly, according to [<xref ref-type="bibr" rid="scirp.121899-ref13">13</xref>] results of farm household surveys, maize yield losses caused by FAW are estimated at 27% and 35%, resulting in annual income losses of US$177 million and US$159 million in Ghana and Zambia, respectively. In Zimbabwe [<xref ref-type="bibr" rid="scirp.121899-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref15">15</xref>], these yield losses range from 12% to 58%. Given the primary importance of maize in the diets of many African households and the conditions in sub-Saharan [<xref ref-type="bibr" rid="scirp.121899-ref16">16</xref>] and the year-round conditions in sub-Saharan Africa being highly conducive to the armyworm [<xref ref-type="bibr" rid="scirp.121899-ref17">17</xref>], the pest poses a significant threat to food security and the achievement of the sustainable development goal of eliminating hunger by 2030 [<xref ref-type="bibr" rid="scirp.121899-ref18">18</xref>].</p><p>Since the dawn of time, farmers have had various forms of endogenous knowledge to know and control crop pests. However, this knowledge is often neglected by researchers and extension workers [<xref ref-type="bibr" rid="scirp.121899-ref19">19</xref>]. It is in this context that the studies carried out to know the perception of the producers find their essence because they can highlight the need to train these producers in pest identification [<xref ref-type="bibr" rid="scirp.121899-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref21">21</xref>].</p><p>According to [<xref ref-type="bibr" rid="scirp.121899-ref22">22</xref>], the results of the survey conducted among maize producers in Benin on the level of knowledge and incidence of FAW, showed that 91.8% of the respondents recognized Spodoptera Frugiperda and the characteristics of its damage.</p><p>In this study, the objective was to assess the perception and knowledge level of corn farmers on this new corn pest detected in 2016.</p></sec><sec id="s2"><title>2. Methods</title><sec id="s2_1"><title>2.1. Study Setting and Sampling</title><p>The survey was conducted in 2020 in 4 regions (Dosso, Maradi, Tahoua and Zinder) located in the southern agricultural belt of Niger. Twenty-eight villages in 12 departments were selected through systematic sampling (<xref ref-type="table" rid="table1">Table 1</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Number of respondents by region</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >Number of departments</th><th align="center" valign="middle" >Number of municipalities</th><th align="center" valign="middle" >Number of villages</th><th align="center" valign="middle" >Number surveyed</th><th align="center" valign="middle" >Study villages</th></tr></thead><tr><td align="center" valign="middle" >Zinder</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >Angoual Manda, Hamdaraoua, Guidimouni, Gassafa, Doungou</td></tr><tr><td align="center" valign="middle" >Dosso</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >Bal&#233;ri Tounga, Bengou, Pangou, Liguido, Tsamia, Dioundiou, Gaya, Kouka, Bakoye</td></tr><tr><td align="center" valign="middle" >Tahoua</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >Bazaga, Cerasa, Mozagu&#233;, Massallata, Iskita, Nakoni, T&#233;k&#233;, Zourdi</td></tr><tr><td align="center" valign="middle" >Maradi</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >Djirataoua, Keguel, Dan Koussou, Kabobi, Kormazaoua, Bargaja, Dodori</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >408</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>The sites were chosen according to the importance of maize or sorghum production and, secondly, the availability of irrigated facilities. Indeed, maize is produced in Niger in most cases in lowland areas that often have an irrigation system [<xref ref-type="bibr" rid="scirp.121899-ref3">3</xref>]. 408 maize growers were surveyed in the 4 regions using a simple randomized sample design (SAS) (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>Data were collected using ODK software from July 18 to 27 in the Dosso and Tahoua regions and then from August 19 to 24 in the Maradi and Zinder regions. Individual questionnaires were used to collect data on the identity of the respondent, maize production and army worm. It should be noted that producers are surveyed in their farm plots to verify certain aspects related to pest infestation. For example, if the producer states that he knows about FAW or that it also attacks other crops in his field, he provides some samples to be used for verification.</p></sec><sec id="s2_3"><title>2.3. Statistical Processing and Analysis</title><p>The yield loss rate for the crop was calculated using the following formula:</p><p>Rate = Estimated production without FAW damage − Production of the previous season Estimated production without FAW damage</p><p>The level of attack was assessed by the number of FAW-infested bunches out of 100 bunches observed by the producer in his cornfield, using the following scale:</p><p>➢ 1% - 20%: low infestation;</p><p>➢ 21% - 55%: medium infestation;</p><p>➢ More than 55%: strong infestation.</p><p>SPSSv20 software was used to calculate the frequency of categorical variables and the mean of quantitative variables. Categorical variables were compared using the Chi-square test.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Characterization of Respondents</title><p>The results of the structural analysis of the samples from the four regions covered by the study revealed that the average age of the 408 producers surveyed was 43 &#177; 14 years. The level of education of the latter is as follows: 55% attended Koranic school; 3% university level; 18% primary level and 14% secondary level and 6% are illiterate. With regard to agricultural activities, 47% &#177; 23% of respondents practice market gardening, with a particular interest in producers in the Zinder region (54% &#177; 18%) (P &lt; 0.001 in Chi-square test).</p></sec><sec id="s3_2"><title>3.2. Maize Production</title><p>Maize producers’ farm areas ranged from 0.7 &#177; 1.1 ha in Maradi to 1.6 &#177; 1.9 ha in Tahoua (P &lt; 0.001 Kruskal test) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Maize is produced three times a year in three seasons: February-May, June-September and November-January. The vast majority of producers (65%) cultivate it in a single season, from June to September, corresponding to the winter season. The other seasons are used for fodder production. According to the results of our survey, maize is cultivated by 48% &#177; 0.15% of respondents, and as a combined crop by (47% &#177; 0.1%). The survey also showed that maize is cultivated in pure culture much more in the Zinder region (68%), in associated culture (56%) and in borders (11%) in the Tahoua region, and in strip culture in the Dosso region (6%). It should be noted that 95 to 99% of respondents in the southern agricultural zone of Niger, except for Maradi, produce maize for its seeds. The season of choice for intense maize production is the winter season for producers in the Maradi and Zinder regions (<xref ref-type="table" rid="table2">Table 2</xref>), the dry season for the Tahoua region. The particularity of the Dosso region is that 52% of respondents produce maize during both seasons. Grain maize is used for family consumption by more than 85% of respondents. The majority of producers (81%) produce fodder maize to feed their livestock (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_3"><title>3.3. Producers’ Knowledge and Year of Occurrence of FAW</title><p>About 93% of the producers surveyed knew about FAW through its damage, size and color (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The difference in rates between regions was not significant</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Summary of some results on maize production</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Question</th><th align="center" valign="middle" >Answers</th><th align="center" valign="middle" >Dosso</th><th align="center" valign="middle" >Maradi</th><th align="center" valign="middle" >Tahoua</th><th align="center" valign="middle" >Zinder</th><th align="center" valign="middle" >Average</th><th align="center" valign="middle" >Chi-square</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Rain campaign number</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >57.0</td><td align="center" valign="middle" >67.0</td><td align="center" valign="middle" >77.0</td><td align="center" valign="middle" >65.0</td><td align="center" valign="middle" >66.5 &#177; 0.1</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >34.0</td><td align="center" valign="middle" >30.0</td><td align="center" valign="middle" >17.0</td><td align="center" valign="middle" >30.0</td><td align="center" valign="middle" >27.75 &#177;7.4</td><td align="center" valign="middle" >*</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >7.0</td><td align="center" valign="middle" >5.25 &#177; 1.2</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Season</td><td align="center" valign="middle" >Winter (%)</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >52.0</td><td align="center" valign="middle" >31.1</td><td align="center" valign="middle" >42.7</td><td align="center" valign="middle" >39 &#177; 0.1</td><td align="center" valign="middle" >**</td></tr><tr><td align="center" valign="middle" >Dryer (%)</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >4.9</td><td align="center" valign="middle" >53.4</td><td align="center" valign="middle" >15.5</td><td align="center" valign="middle" >23 &#177; 0.2</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >Dry and winter (%)</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >43.1</td><td align="center" valign="middle" >15.5</td><td align="center" valign="middle" >41.7</td><td align="center" valign="middle" >38 &#177; 0.16</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Type of crop</td><td align="center" valign="middle" >As an associate (%)</td><td align="center" valign="middle" >47.0</td><td align="center" valign="middle" >52.9</td><td align="center" valign="middle" >56.3</td><td align="center" valign="middle" >31.1</td><td align="center" valign="middle" >47 &#177; 0.1</td><td align="center" valign="middle" >**</td></tr><tr><td align="center" valign="middle" >On the edge (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >10.7</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >4 &#177; 0.06</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle" >In a band (%)</td><td align="center" valign="middle" >6.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >4 &#177; 0.04</td><td align="center" valign="middle" >**</td></tr><tr><td align="center" valign="middle" >In pure (%)</td><td align="center" valign="middle" >47.0</td><td align="center" valign="middle" >46.1</td><td align="center" valign="middle" >32.0</td><td align="center" valign="middle" >68.0</td><td align="center" valign="middle" >48 &#177; 0.15</td><td align="center" valign="middle" >***</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Purpose Grain</td><td align="center" valign="middle" >Livestock (%)</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >7.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >5 &#177; 0.03</td><td align="center" valign="middle" >**</td></tr><tr><td align="center" valign="middle" >Marketing (%)</td><td align="center" valign="middle" >13.0</td><td align="center" valign="middle" >18.6</td><td align="center" valign="middle" >8.0</td><td align="center" valign="middle" >10.7</td><td align="center" valign="middle" >13 &#177; 0.04</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >Family (%)</td><td align="center" valign="middle" >84.0</td><td align="center" valign="middle" >81.4</td><td align="center" valign="middle" >85.5</td><td align="center" valign="middle" >89.3</td><td align="center" valign="middle" >85 &#177; 0.03</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Forage purpose</td><td align="center" valign="middle" >Livestock (%)</td><td align="center" valign="middle" >75.0</td><td align="center" valign="middle" >86.3</td><td align="center" valign="middle" >82.5</td><td align="center" valign="middle" >79.6</td><td align="center" valign="middle" >81 &#177; 0.05</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >Marketing (%)</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" >16.5</td><td align="center" valign="middle" >5.8</td><td align="center" valign="middle" >9 &#177; 0.05</td><td align="center" valign="middle" >*</td></tr><tr><td align="center" valign="middle" >Family (%)</td><td align="center" valign="middle" >20.0</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >14.6</td><td align="center" valign="middle" >11 &#177; 0.1</td><td align="center" valign="middle" >***</td></tr></tbody></table></table-wrap><p>***: significant at 1%; **: significant at 5%; *: significant at 10%; ns: not significant.</p><p>(Chi-square = 0.402). Sixty percent (60%) of the respondents thought that FAW appeared in their field between 1 and 5 years ago (<xref ref-type="table" rid="table3">Table 3</xref>). A rate of 22% of producers was found to think that FAW appeared in the 6 to 10 year interval. A very low rate of 0% to 6% of respondents thought that FAW appeared more than 20 years ago (<xref ref-type="table" rid="table3">Table 3</xref>). Maize was the first crop to be attacked by FAW in their maize plots, with 86.5% of respondents believing it was the first crop to be attacked by FAW, followed by sorghum at 3.4%.</p></sec><sec id="s3_4"><title>3.4. FAW Infestation Level</title><p>Analysis of the data on the level of knowledge of FAW and its infestation on maize showed that 53% &#177; 0.1% of the producers think that FAW is responsible for the considerable damage observed on the maize crop. This percentage was higher in the Zinder region, where 69% of respondents thought that the level of FAW infestation was very high compared to only 12% who thought that the incidence was low on the crop (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s3_5"><title>3.5. Inventory of FAW Infested Crops in the Southern Agricultural Zone of Niger</title><p>The results of the survey conducted among producers in our study area confirmed the presence of FAW and identified the different crops that are affected by it. It emerged from the exploitation of the data that, according to the respondents, Spodoptera frugiperda is most prevalent on cereals (maize, sorghum and millet) with an infestation rate of about 44%, and on vegetable crops (tomato, cabbage, onion, pepper, sugar cane and lettuce) with 6.3% of infestations. On the other hand, some legumes, such as cowpea and peanut were less infested with only 3.4% of attack rate (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p></sec><sec id="s3_6"><title>3.6. Loss in Efficiency</title><p>Producers estimate that FAW can reduce maize yields by 48.2% &#177; 29% (<xref ref-type="table" rid="table5">Table 5</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Proportion of respondents on the number of years of FAW occurrence</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Regions</th><th align="center" valign="middle"  colspan="5"  >Range of</th></tr></thead><tr><td align="center" valign="middle" >1 to 5 years</td><td align="center" valign="middle" >6 to 10 years old</td><td align="center" valign="middle" >11 to 15 years old</td><td align="center" valign="middle" >16 to 20 years old</td><td align="center" valign="middle" >More than 20 years</td></tr><tr><td align="center" valign="middle" >Dosso</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Maradi</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Tahoua</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >6</td></tr><tr><td align="center" valign="middle" >Zinder</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >60 &#177; 0.1</td><td align="center" valign="middle" >22 &#177; 0.04</td><td align="center" valign="middle" >3 &#177; 0.01</td><td align="center" valign="middle" >5 &#177; 0.02</td><td align="center" valign="middle" >3 &#177; 0.03</td></tr><tr><td align="center" valign="middle" >Chi-square</td><td align="center" valign="middle" >*</td><td align="center" valign="middle" >ns</td><td align="center" valign="middle" >ns</td><td align="center" valign="middle" >ns</td><td align="center" valign="middle" >**</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Perceived level of FAW attack</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Dosso</th><th align="center" valign="middle" >Maradi</th><th align="center" valign="middle" >Tahoua</th><th align="center" valign="middle" >Zinder</th><th align="center" valign="middle" >Average</th><th align="center" valign="middle" >Chi-square</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Attack level</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16.5</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >12 &#177; 0.04</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >Fort</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >53 &#177; 0.1</td><td align="center" valign="middle" >**</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >35 &#177; 0.1</td><td align="center" valign="middle" >**</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Methods of controlling FAW used by maize farmers in the southern agricultural zone of Niger</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Dosso</th><th align="center" valign="middle" >Maradi</th><th align="center" valign="middle" >Tahoua</th><th align="center" valign="middle" >Zinder</th><th align="center" valign="middle" >%Average</th><th align="center" valign="middle" >Chi-square</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Control measures</td><td align="center" valign="middle" >Chemical pesticide</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >61 &#177; 0.04</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" >Nothing</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >37 &#177; 0.06</td><td align="center" valign="middle" >ns</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Biopesticide, traditional and mechanical</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2 &#177; 0.02</td><td align="center" valign="middle" >ns</td></tr></tbody></table></table-wrap><p>In the southern agricultural zone of Niger, the estimate of losses varied by region: in Tahoua it was 44.5% &#177; 31%, in Dosso 50.5% &#177; 30%, in Zinder 49.2% &#177; 27.3%, and 48.2% &#177; 28.4% in Maradi.</p><p>Methods of controlling FAW.</p><p>Interviews with growers did not reveal a diversity of control methods for FAW. More than half of the respondents (61% &#177; 0.04) used chemical pesticides, while 2% &#177; 0.02 used more ecological methods to control FAW. It should be noted that 37% &#177; 0.06 of the respondents stated that they do not use any method to control FAW (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec><sec id="s3_7"><title>3.7. Pesticides Used in the Control of FAW</title><p>It was found that 27 different types of synthetic chemicals are used by farmers to control FAW. Among them, 2 products are registered by the Sahelian Committee of Pesticides (CSP): Karate and Emacot. This is the case with the other two products, Karate and Emacot. Producers in the Zinder and Tahoua regions use the product Caiman B, known locally as “Gamlo”, more often (<xref ref-type="table" rid="table6">Table 6</xref>). The term “Gamlo” is used by some pesticide sellers to refer to chemicals with Dimethoate as the active ingredient. For others, it refers to all the relatively cheaper EC products on the market. Caiman B is used extensively in the Dosso (40%) and Maradi (22%) regions (<xref ref-type="table" rid="table6">Table 6</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The surveys and observations conducted in this study confirmed the presence of the fall armyworm Spodoptera frugiperda J.E. Smith in the southern agricultural zone of Niger. The results obtained also demonstrate that FAW is a major pest of maize in Niger, and despite its relatively recent establishment (2016), it is known to maize farmers. In our study area, 93% of respondents recognized FAW through morphological characteristics and signs of its damage, which they considered very important. These results are similar to those of [<xref ref-type="bibr" rid="scirp.121899-ref22">22</xref>], who reported in</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Most used chemical by region</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >Number of products</th><th align="center" valign="middle" >More used</th><th align="center" valign="middle" >Usage rate</th></tr></thead><tr><td align="center" valign="middle" >Zinder</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >Gamlo</td><td align="center" valign="middle" >17</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Caiman B</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Piapia</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Dosso</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >Caiman B</td><td align="center" valign="middle" >40</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Karate</td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Piapia</td><td align="center" valign="middle" >6</td></tr><tr><td align="center" valign="middle" >Tahoua</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >Gamlo</td><td align="center" valign="middle" >23</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Caiman B</td><td align="center" valign="middle" >19</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Sharp shooter</td><td align="center" valign="middle" >9</td></tr><tr><td align="center" valign="middle" >Maradi</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >Caiman B</td><td align="center" valign="middle" >22</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Lara force</td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Piapia</td><td align="center" valign="middle" >7</td></tr></tbody></table></table-wrap><p>a survey on the perception of producers in Benin that 91.8% of maize producers knew about FAW and [<xref ref-type="bibr" rid="scirp.121899-ref23">23</xref>] in Kenya, 82% of respondents among maize farmers who can correctly identify it from images and state that in 2016 already more than 50% of farmers have observed it in their plot. In most countries where FAW was reported, growers were the first to report its presence and the level of knowledge of the pest ranged from 50% to 100% of respondents [<xref ref-type="bibr" rid="scirp.121899-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref24">24</xref>]. According to [<xref ref-type="bibr" rid="scirp.121899-ref24">24</xref>], in C&#244;te d’Ivoire, the first suspicions about the presence of this insect appeared when maize producers reported the invasion of their respective crop sites by a certain caterpillar of which they had no knowledge.</p><p>According to [<xref ref-type="bibr" rid="scirp.121899-ref25">25</xref>] - [<xref ref-type="bibr" rid="scirp.121899-ref30">30</xref>] According to the producers surveyed, Spodoptera frugiperda J.E. Smith is very polyphagous and attacks a variety of crops including cereals, legumes and vegetables. The incidence of this pest is higher in corn and sorghum compared to other crops. This result is similar to that of [<xref ref-type="bibr" rid="scirp.121899-ref31">31</xref>], who obtained with field collections that the incidence is high in maize and second in sorghum.</p><p>In the southern agricultural band of Niger, 47% - 69% of growers rated FAW as having a very high impact on maize production, to the point where some growers have abandoned the crop altogether. These results are also supported by [<xref ref-type="bibr" rid="scirp.121899-ref12">12</xref>] In Ethiopia and Kenya, respectively, 67% and 98% of the farmers surveyed thought that the impact of FAW was very high.</p><p>FAW is a relatively new pest whose rapid distribution, polyphagy, and impact on crops surprised growers and policy makers. The results on control methods emphasize the use of synthetic pesticides by the majority of respondents (58% - 66%). Slightly higher results than ours were obtained in Benin with 91.4% of respondents also using pesticides [<xref ref-type="bibr" rid="scirp.121899-ref22">22</xref>]. The use of pesticides is explained by the fact that FAW is a new pest in most sub-Saharan countries and applied studies have not been conducted to develop management methods based on the insect’s bio-ecology. For most farmers, as is customary, chemical control is the most appropriate. Unlike maize farmers in Niger and Benin, those in Kenya and Ethiopia use fewer pesticides, with 48 and 48.4% of respondents, respectively [<xref ref-type="bibr" rid="scirp.121899-ref12">12</xref>]. In these countries, the support of research and training institutions such as the International Maize and Wheat Improvement Center (CIMMYT) and the International Center for Insect Physiology and Ecology (ICIPE), which have developed alternative methods to chemical control, especially Push-Pull technology, explains the low rate of pesticide use. It should be noted that a significant 37% of the respondents said they did not apply any control measures against FAW. This percentage varies from country to country, with 11% to 12% of producers in Ethiopia and Kenya, respectively [<xref ref-type="bibr" rid="scirp.121899-ref12">12</xref>].</p><p>In contrast, most farmers in the districts surveyed in Mozambique do not use any method to control FAW (from 60.8% in Macate to 88.0% in Manica and Sussundenga, respectively) [<xref ref-type="bibr" rid="scirp.121899-ref21">21</xref>].</p><p>However, FAW has developed numerous resistances as a result of the use of synthetic pesticides in North America [<xref ref-type="bibr" rid="scirp.121899-ref8">8</xref>]. This resistance to insecticides may be widespread in some areas and control may therefore be difficult [<xref ref-type="bibr" rid="scirp.121899-ref31">31</xref>]. In Kenya, 60% of growers considered synthetic pesticides to be ineffective in controlling fall armyworm, given the resistance developed by this caterpillar [<xref ref-type="bibr" rid="scirp.121899-ref23">23</xref>]. The scientific community has been informed about the works carried out in the subtropical zone of China on the degree of development of resistance against synthetic products, whose results show that the ratio of resistance was from 1 to 1068 times by different types of active material tested [<xref ref-type="bibr" rid="scirp.121899-ref32">32</xref>].</p><p>To contribute to a considerable reduction in the population of these pests as a result of the problem of resistance development, much more effective insecticides will have to be used and rational application of pesticides will have to be carried out while changing them regularly. But while repeated application of highly toxic pesticides can reduce crop pest populations, it is far from environmentally and socially sound and is done at great expense. Also, these products are at the origin of several cases of intoxication and make according to the estimates of the UNO, each year, 40,000 victims, and causing after-effects to approximately 2,000,000 people [<xref ref-type="bibr" rid="scirp.121899-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.121899-ref33">33</xref>].</p><p>This economically important pest is becoming a new challenge for agricultural production in Niger, especially since 85% of the population depends on it [<xref ref-type="bibr" rid="scirp.121899-ref34">34</xref>]. More efficient ecological control methods against this bio-aggressor must be developed to save the production of maize in the world and particularly in Africa.</p></sec><sec id="s5"><title>5. Conclusion</title><p>This study reports on farmers’ knowledge, perceptions and management practices they use in managing against Spodoptera frugiperda. The study showed that the level of knowledge of FAW by the farmers is very high. The majority of farmers use synthetic pesticides that do not always satisfy them in managing S.frugiperda. A very small minority use local practices that they perceive to be more effective. These essentially ecological practices deserve to be studied and expanded.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Laminou, S., Ousmane, Z.M., Amadou, L., Rabe, M.M. and Boukari, I.B. (2022) Perception and Level of Knowledge of the Fall Armyworm (Spodoptera frugiperda J.E. Smith) by Maize Farmers in the Southern Agricultural Zone of Niger. Agricultural Sciences, 13, 1321-1333. https://doi.org/10.4236/as.2022.1312081</p></sec></body><back><ref-list><title>References</title><ref id="scirp.121899-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">African Development Bank Group (2015) Nourrir l’Afrique, Un Plan d’Action pour la Transform de l’Agriculture Africaine. https://www.afdb.org/fr/event/nourrir-lafrique-un-plan-daction-pour-la-transformation-de-lagriculture-africaine</mixed-citation></ref><ref id="scirp.121899-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">FAO (2018) Gestion Intégrée de la Chenille Légionnaire d’Automne sur le Ma&amp;#239;s. 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