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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Insect Sci.</journal-id>
<journal-title>Frontiers in Insect Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Insect Sci.</abbrev-journal-title>
<issn pub-type="epub">2673-8600</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/finsc.2024.1268092</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Insect Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of Bt corn expressing <italic>Bacillus thuringiensis</italic> Berliner insecticidal proteins on the growth and survival of <italic>Spodoptera frugiperda</italic> larvae in Colombia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rodriguez-Chalarca</surname>
<given-names>Jairo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2324891"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Valencia</surname>
<given-names>Sandra J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2403445"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rivas-Cano</surname>
<given-names>Alejandra</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Santos-Gonz&#xe1;lez</surname>
<given-names>Francisco</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Romero</surname>
<given-names>Diana Patricia</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Crops for Nutrition and Health, The Alliance of Bioversity International and Centro Internacional de Agricultura Tropical (International Center for Tropical Agriculture)</institution>, <addr-line>Palmira</addr-line>, <country>Colombia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Universidad Nacional de Colombia Sede Palmira</institution>, <addr-line>Palmira</addr-line>, <country>Colombia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Resistance Management NorLa-Bayer</institution>, <addr-line>Mexico City</addr-line>, <country>Mexico</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Bayer &#x2013; Regulatory</institution>, <addr-line>Bogot&#xe1;</addr-line>, <country>Colombia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Chrysantus Mbi Tanga, International Centre of Insect Physiology and Ecology (ICIPE), Kenya</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yueping He, Huazhong Agricultural University, China</p>
<p>Xiaoming Xia, Shandong Agricultural University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jairo Rodriguez-Chalarca, <email xlink:href="mailto:j.chalarca@cgiar.org">j.chalarca@cgiar.org</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>4</volume>
<elocation-id>1268092</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Rodriguez-Chalarca, Valencia, Rivas-Cano, Santos-Gonz&#xe1;lez and Romero</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Rodriguez-Chalarca, Valencia, Rivas-Cano, Santos-Gonz&#xe1;lez and Romero</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Bioassays were conducted under controlled conditions to determine the response of <italic>Spodoptera frugiperda</italic> (J. E. Smith) larvae fed with corn materials expressing <italic>Bacillus thuringiensis</italic> (Bt) insecticidal endotoxins: (1) VT Double Pro<sup>&#xae;</sup> (VT2P) expressing Cry1A.105-Cry2Ab2 proteins and (2) VT Triple Pro<sup>&#xae;</sup> (VT3P) expressing Cry1A.105-Cry2Ab2-Cry3Bb1 proteins. The parameters assessed were: (i) mortality rate, and (ii) growth inhibition (GI) with respect to the control. To conduct this study, larvae were collected from commercial non-Bt corn fields, in four agricultural sub-regions in Colombia, between 2018 and 2020. Fifty-two populations were assessed from the field and neonate larvae from each of the populations were used for the bioassays. The study found that mortality rates in the regions for larvae fed with VT2P corn ranged from 95.1 to 100.0%, with a growth inhibition (%GI) higher than 76.0%. Similarly, mortality rate for larvae fed with VT3P corn were between 91.4 and 100.0%, with a %GI above 74.0%. The population collected in Agua Blanca (Espinal, Tolima; Colombia) in 2020, showed the lowest mortality rate of 53.2% and a %GI of 73.5%, with respect to the control. The population that exhibited the lowest %GI was collected in 2018 in Agua Blanca (Espinal, Tolima, Colombia) with a 30.2%, growth inhibition, with respect to the control. In recent years, the use of plant tissue to monitor susceptibility to fall armyworm has proven to be useful in the resistance management program for corn in Colombia determining that the FAW populations are still susceptible to Bt proteins contained in VT2P and VT3P.</p>
</abstract>
<kwd-group>
<kwd>Bt corn</kwd>
<kwd>Cry1a.105</kwd>
<kwd>Cry2Ab2</kwd>
<kwd>
<italic>Spodoptera frugiperda</italic>
</kwd>
<kwd>growth inhibition</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="12"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="15"/>
<word-count count="6564"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Insect Economics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Fall armyworm, <italic>Spodoptera frugiperda</italic>, is one of the most serious pests in agricultural production in the Americas (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). It is distributed widely among hosts in the Western Hemisphere (in more than 27 plant families), it can migrate very easily (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>), and has had a big economic impact on corn, sorghum, rice, and cotton crops (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). <italic>S. frugiperda</italic> was first reported in West Africa in 2016 (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>) and then spread throughout much of sub-Saharan Africa by 2017 (<xref ref-type="bibr" rid="B11">11</xref>). In 2018, it was reported in India and China, where it probably migrated from Africa (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>The inclusion of Bt crops in agricultural systems has brought enormous economic and environmental benefits, such as higher yields, due to less damage to plants, and a significant reduction in the use of insecticides (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Special academic interest has been shown in strategies that prevent or delay the emergence of resistance by target insects to Bt (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Although most target populations still show high susceptibility to Bt crops, under field conditions resistance in biotech corn and cotton has been documented for some lepidopteran pests which include: <italic>Busseola fusca</italic> in South Africa to Cry1Ab protein (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>); <italic>S. frugiperda</italic> in Puerto Rico to Cry1F protein (<xref ref-type="bibr" rid="B22">22</xref>); <italic>Pectinophora gossypiella</italic>, in western India to Cry1Ac; <italic>Helicoverpa zea</italic> in the southwestern United States (Cry1Ac and Cry2Ab2), and for <italic>Helicoverpa punctigera</italic> in Australia to (Cry1Ac and Cry2Ab) (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). The reported emergence of resistance in the field was demonstrated by evidence of increased damage by the target insect, that is to say, the loss of efficacy of the biotech crop to control <italic>B. fusca</italic>, <italic>S. frugiperda, P. gossypiella</italic> and <italic>H. zea</italic> (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). The widespread use of Bt crops offers an opportunity to test the hypothesis of how responses to selection pressure are influenced by various genetic and ecological factors (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>The main purpose of monitoring the susceptibility of target pests in Bt crops, is to be able to detect changes in the response to the action of proteins that allow corrective actions to be taken before the control measure loses its efficacy (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Therefore, as mentioned above, changes in the susceptibility of target pests based on the LD<sub>50</sub> variation do not necessarily imply changes in susceptibility under field conditions (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>). This means that regulatory decisions on the continued use of Bt technologies must include information about the relationship between variation in susceptibility and control under field conditions (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>In Colombia, <italic>S. frugiperda</italic> is the most damaging pest in corn production. It was first reported in 1917 in the department of Antioquia. It then appeared in Caldas and Valle del Cauca, and then spread to all corn growing areas (<xref ref-type="bibr" rid="B30">30</xref>). Losses of up to 60% have been reported in Colombia due to <italic>S. frugiperda</italic>, which can increase production costs from 5.6 to 10.0% for technified corn (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>). Blanco et&#xa0;al. (<xref ref-type="bibr" rid="B8">8</xref>), reported <italic>S. frugiperda</italic> to be the most damaging pest for non-Bt corn production in Colombia. Using chemicals to control <italic>S. frugiperda</italic> (organophosphates and pyrethroids) has become the most widely used method of reducing the impact of the insect in the field (<xref ref-type="bibr" rid="B33">33</xref>). These control measures have had a significant impact on the environment and the ability to resist <italic>S. frugiperda</italic>. This has prompted the need to look for new alternatives, such as the use of pathogens as control agents (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). <italic>B. thuringiensis</italic> Berliner is one of the biggest species with insecticidal capacity (<xref ref-type="bibr" rid="B36">36</xref>) and its results are similar to chemical control (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Additionally, the adoption of genetically modified crops (such as Bt corn that express Cry and Vip toxins derived from bacterium <italic>B. thuringiensis</italic> var. <italic>kurstaki)</italic>, have become another alternative for reducing the impact of <italic>S. frugiperda</italic> (<xref ref-type="bibr" rid="B35">35</xref>). Bt crops are an important tool for the control of <italic>S. frugiperda</italic> (<xref ref-type="bibr" rid="B38">38</xref>), that significantly reduce the need for insecticides and ensure protection of the crop throughout its growth (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>In Colombia, the introduction, release, and commercialization of GM crops is carried out under the Cartagena Protocol on Biosecurity, an international instrument that regulates living modified organisms (LMOs) which are the product of modern biotechnology. Colombia has been sowing genetically modified (GM) crops in its production systems since 2002. 2,000 ha of cotton was the first crop to be planted. In 2007, 6,000 ha of corn was then authorized and sown (<xref ref-type="bibr" rid="B41">41</xref>). The number of GM hectares sown in Colombia then increased significantly. By 2021, 31.6% more land had been sown with GM crops than the previous year. That is a total of 150,451 ha, of which 142,975 ha was GM corn, 7,464 GM cotton, and 12&#xa0;ha blue flowers (cut) (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>The purpose of this study is to assess the effect of the consumption of corn containing Bt proteins on the mortality and growth of <italic>S. frugiperda</italic> larvae collected under field conditions within the Insects Resistance Management (IRM) monitoring program in Colombia.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Larvae collection and establishing colonies</title>
<p>Larvae were collected from 49 locations during the period 2018 to 2020, in commercial plots with conventional corn (non-Bt) from the four agricultural subregions of Colombia (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). In each location, three hundred larvae in different stages of development (F0) were collected and taken to the CIAT (International Center for Tropical Agriculture) facilities, where each collection was handled separately, to obtain the F1 necessary for the assembly of the corresponding bioassays.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>
<italic>S. frugiperda</italic> collections made between 2018 and 2020 on non-Bt corn.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Year</th>
<th valign="middle" align="center">Region</th>
<th valign="middle" align="center">Population</th>
<th valign="middle" align="center">Municipality</th>
<th valign="middle" align="center">Department</th>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">W</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Carrillo</td>
<td valign="middle" align="left">San Pelayo</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.77455</td>
<td valign="middle" align="center">75.86673</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">El Tajo</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.90480</td>
<td valign="middle" align="center">75.80452</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">La Villa</td>
<td valign="middle" align="left">San Benito de Abad</td>
<td valign="middle" align="left">Sucre</td>
<td valign="middle" align="center">8.56967</td>
<td valign="middle" align="center">75.02471</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Mart&#xed;nez</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="bottom" align="center">8.88263</td>
<td valign="bottom" align="center">75.76979</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">GVCR</td>
<td valign="middle" align="left">Guayabita</td>
<td valign="middle" align="left">Cartago</td>
<td valign="middle" align="left">Valle</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Aguablanca alta</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.18026</td>
<td valign="middle" align="center">74.91654</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Dindalito-centro</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.17384</td>
<td valign="middle" align="center">74.94717</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Serrezuela</td>
<td valign="middle" align="left">Guamo</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.07332</td>
<td valign="middle" align="center">74.93216</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">El crucero</td>
<td valign="middle" align="left">Granada</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">3.45993</td>
<td valign="middle" align="center">73.78998</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">El Toro</td>
<td valign="middle" align="left">Puerto L&#xf3;pez</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">4.19276</td>
<td valign="middle" align="center">72.44249</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">La Cristalina</td>
<td valign="middle" align="left">Puerto Gait&#xe1;n</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">3.48071</td>
<td valign="middle" align="center">73.72449</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">El play&#xf3;n</td>
<td valign="middle" align="left">Lorica</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">9.18662</td>
<td valign="middle" align="center">75.81989</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">La Ceibita</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.85008</td>
<td valign="middle" align="center">75.76283</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Las Cachuchas</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.82296</td>
<td valign="middle" align="center">75.80196</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Mocar&#xed;</td>
<td valign="middle" align="left">Monter&#xed;a</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.811</td>
<td valign="middle" align="center">76.8483</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Parcelas de Venezuela</td>
<td valign="middle" align="left">Tierra Alta</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.21972</td>
<td valign="middle" align="center">76.00827</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Playa Rica</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.87616</td>
<td valign="middle" align="center">75. 810426</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVCR</td>
<td valign="middle" align="left">Morelia</td>
<td valign="middle" align="left">Roldanillo</td>
<td valign="middle" align="left">Valle</td>
<td valign="middle" align="center">4.46858</td>
<td valign="middle" align="center">76.10598</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVCR</td>
<td valign="middle" align="left">ND</td>
<td valign="middle" align="left">Palmira</td>
<td valign="middle" align="left">Valle</td>
<td valign="middle" align="center">3.525</td>
<td valign="middle" align="center">76.286111</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Dindalito</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.1692</td>
<td valign="middle" align="center">74.8819</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Montalvo</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.17088</td>
<td valign="middle" align="center">74.86059</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">ND</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.127222</td>
<td valign="middle" align="center">74.840083</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Paradero</td>
<td valign="middle" align="left">Flandes</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.2323</td>
<td valign="middle" align="center">74.8282</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Sam&#xe1;n</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.1709</td>
<td valign="middle" align="center">74.9712</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">San Jorge</td>
<td valign="middle" align="left">Guamo</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.07433</td>
<td valign="middle" align="center">74.93868</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Talura</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.7.27</td>
<td valign="middle" align="center">74.51.37</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">Crucero</td>
<td valign="middle" align="left">Granada</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">3.46238</td>
<td valign="middle" align="center">73.76679</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">El Toro</td>
<td valign="middle" align="left">Puerto L&#xf3;pez</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">4.18926</td>
<td valign="middle" align="center">72.44507</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">ND</td>
<td valign="middle" align="left">Puerto L&#xf3;pez</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">4.245</td>
<td valign="middle" align="center">72.4092</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Buena Vista</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.93300</td>
<td valign="middle" align="center">75.74962</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Cabuya</td>
<td valign="middle" align="left">San Carlos</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="bottom" align="center">8.82333</td>
<td valign="bottom" align="center">75.71000</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">El Cedro</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.74662</td>
<td valign="middle" align="center">75.81405</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Mart&#xed;nez</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.87333</td>
<td valign="middle" align="center">75.73550</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">Mart&#xed;nez</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="bottom" align="center">8.88472</td>
<td valign="bottom" align="center">75.74667</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">ND</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">8.90276</td>
<td valign="middle" align="center">75.79983</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">HC</td>
<td valign="middle" align="left">San Antonio</td>
<td valign="middle" align="left">Ceret&#xe9;</td>
<td valign="middle" align="left">C&#xf3;rdoba</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVCR</td>
<td valign="middle" align="left">La legua</td>
<td valign="middle" align="left">Yotoco</td>
<td valign="middle" align="left">Valle</td>
<td valign="middle" align="center">3.85389</td>
<td valign="middle" align="center">76.36083</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVCR</td>
<td valign="middle" align="left">La selva</td>
<td valign="middle" align="left">Ginebra</td>
<td valign="middle" align="left">Valle</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVCR</td>
<td valign="middle" align="left">ND</td>
<td valign="middle" align="left">Riofrio</td>
<td valign="middle" align="left">Valle</td>
<td valign="middle" align="center">4.10875</td>
<td valign="middle" align="center">76.29695</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVCR</td>
<td valign="middle" align="left">Tierra Blanca</td>
<td valign="middle" align="left">Roldanillo</td>
<td valign="middle" align="left">Valle</td>
<td valign="middle" align="center">4.42229</td>
<td valign="middle" align="center">76.12904</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Aguablanca alta</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">3.80386</td>
<td valign="middle" align="center">73.30049</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Buenos Aires</td>
<td valign="middle" align="left">Ibagu&#xe9;</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.19493</td>
<td valign="middle" align="center">75.04212</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Canastos</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Cardonal</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Cardonal</td>
<td valign="middle" align="center">4.11796</td>
<td valign="middle" align="center">74.91613</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Colegio</td>
<td valign="middle" align="left">Flandes</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.21991</td>
<td valign="middle" align="center">74.83854</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">GVMR</td>
<td valign="middle" align="left">Rinc&#xf3;n de San Fco.</td>
<td valign="middle" align="left">Espinal</td>
<td valign="middle" align="left">Tolima</td>
<td valign="middle" align="center">4.19451</td>
<td valign="middle" align="center">74.95269</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">Bajo Pompeya</td>
<td valign="middle" align="left">Villavicencio</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">3.99036</td>
<td valign="middle" align="center">73.31725</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">Surimena</td>
<td valign="middle" align="left">San Carlos de Guaroa</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">3.80386</td>
<td valign="middle" align="center">73.30049</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">Orinoquia</td>
<td valign="middle" align="left">Yurimera</td>
<td valign="middle" align="left">Puerto L&#xf3;pez</td>
<td valign="middle" align="left">Meta</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HC, Humid Caribbean.</p>
</fn>
<fn>
<p>GVCR, Geographic Valley of the Cauca River.</p>
</fn>
<fn>
<p>GVMR, Geographic Valley of the Magdalena River.</p>
</fn>
<fn>
<p>NA, Not available.</p>
</fn>
<fn>
<p>GCS, Geographic Coordinate System.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Each collection (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) represented an independent colony, which was kept under controlled conditions; 27 &#xb1; 2&#xb0;C, 14:10 (light/dark) artificial photoperiod and 70-75% relative humidity. Adults were housed in cages (35&#xa0;cm long, 25&#xa0;cm wide and 25&#xa0;cm high) and labeled according to where they were collected (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Adults were fed with a water solution and pasteurized honey (1:1 vol/vol) using absorbent wet cotton that was kept in small containers inside the cage. Egg masses were removed and deposited individually in labeled petri dishes until larvae emerged (F1). Neonate larvae were quarantined for 24 hours prior to setting up bioassays to correct natural mortality.</p>
</sec>
<sec id="s2_2">
<title>Feeding bioassays with Bt material</title>
<p>Plant materials used included commercial hybrids SV-1035 (non-Bt) and two hybrids (Bt), VT Double Pro<sup>&#xae;</sup> (VT2P) and VT Triple Pro<sup>&#xae;</sup> (VT3P) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). About Bt materials, 32 replicates were assessed, each with 16 larval neonates (&lt;24 hours) with a total of 512 larvae per plant material. For the non-Bt material (control), 8 replicates with 16 larvae each were used for a total of 128 larvae.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Bt and non-Bt corn materials were assessed in this study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Corn ID</th>
<th valign="middle" align="center">Bt gene</th>
<th valign="middle" align="center">tradename</th>
<th valign="middle" align="center">Traits<sup>1</sup>
</th>
<th valign="middle" align="center">Event</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">Non-Bt</td>
<td valign="bottom" align="left">None</td>
<td valign="bottom" align="center">SV-1035</td>
<td valign="bottom" align="center">Non-Bt</td>
<td valign="bottom" align="center">None</td>
</tr>
<tr>
<td valign="bottom" align="left">VT2P</td>
<td valign="bottom" align="left">Cry1A.105 &#x2013; Cry2Ab2</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">VT Double PRO<sup>&#xae;</sup>
</td>
<td valign="bottom" align="center">MON 89034 X NK603</td>
</tr>
<tr>
<td valign="bottom" align="left">VT3P</td>
<td valign="bottom" align="left">Cry1A.105 &#x2013; Cry2Ab2- Cry3Bb1</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">VT Triple PRO<sup>&#xae;</sup>
</td>
<td valign="bottom" align="center">MON 89034 X MON 88017</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Commercial hybrids in Colombia</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The materials assessed were sown under semi-controlled conditions in a screen house at the CIAT campus in Palmira, Valle del Cauca, Colombia. When the materials reached vegetative stage V6 - V8, the youngest fully expanded leaves were harvested and taken to the laboratory for bioassays (<xref ref-type="bibr" rid="B43">43</xref>). Before starting the bioassays, random samples were taken from the plants, which were analyzed to confirm the presence of the proteins using a strip test. Bioassay trays (White Rearing Tray 32 cells, ref: RT32W, Frontier Agriculture Sciences) were used for the bioassays.</p>
<p>Each cell was inoculated with one neonate larva (24 hours after emerging) and placed in an air-conditioned chamber at 27&#xb1; 1&#xb0; C, in 60% relative humidity in darkness for 7 days. Leaf portions (measuring 9.0 cm<sup>2</sup>) from each of the materials were used as food. To make sure the larvae food was fresh, it was replaced every 48 hours with freshly harvested material from the mesh house. A cotton ball moistened with distilled water was placed in each of the wells, to maintain adequate humidity (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>The assessed parameters were: (i) mortality rate 7 days after consuming corn (dac) and (ii) growth inhibition (%GI) with respect to the larvae control that managed to survive 7dd (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>With regard to the 7 days after consuming corn (dac) mortality record, it was found that larvae that had not passed the first stage and those that weighed &#x2264;10 mg were considered dead (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>With reference to the control, growth inhibition (%GI) was calculated by dividing the average weight of surviving larvae in each Bt material (VT2P, VT3P) by the average weight of larvae in the control (non-Bt) and shown as a percentage. In each of the materials, live larvae were individually weighed to obtain the average using a Sartorius Quintix35 -1S precision balance (Sartorius Lab Instruments GmbH &amp; Co) (<xref ref-type="bibr" rid="B50">50</xref>).</p>
</sec>
<sec id="s2_3">
<title>Data analysis</title>
<p>Mortality was measured 7 days after consuming (dac) Bt corn plant material and understood as the sum of (dead larvae + Larvae L1 and/or weight &#x2264;10 mg) (<xref ref-type="bibr" rid="B46">46</xref>). Mortality data were corrected with the Henderson and Tilton (H&amp;T) formula (<xref ref-type="bibr" rid="B51">51</xref>). Tukey&#x2019;s test (P&lt;0.05) and GLM for multiple comparisons (<xref ref-type="bibr" rid="B52">52</xref>) were used to compare means.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>This section summarizes the information on the response of 49 <italic>S. frugiperda</italic> populations to the effect of VT2P and VT3P corn consumption from Colombia&#x2019;s four agricultural subregions between 2018 and 2020 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Response of <italic>S. frugiperda</italic> populations, according to % Mortality Rate, % H&amp;T and Growth Inhibition (%GI), following the consumption of corn materials with VT2P and VT3P technology in Colombia, for collections 2018 to 2020.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-04-1268092-g001.tif"/>
</fig>
<p>With respect to the interaction between corn materials (Non-Bt, VT2P, VT3P) and the year collected, there were significant differences in mortality rates, with values ranging from 8.6% after consuming non-Bt corn to 98.6% after consuming VT3P corn (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Growth inhibition (%GI) because of consuming Bt corn, showed statistical differences, with values ranging between 56.3 and 86.8% for VT2P (2018) and VT3P (2019), respectively (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Means &#xb1; SD of mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn for <italic>S. frugiperda</italic> populations collected between 2018 and 2020.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Corn ID</th>
<th valign="top" align="center">year</th>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">Mortality rate (%)<sup>1a</sup>
</th>
<th valign="top" align="center">H&amp;T<sup>2b</sup>
</th>
<th valign="top" align="center">%GI<sup>3c</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">Non-Bt</td>
<td valign="middle" align="center">2018</td>
<td valign="middle" align="center">1,408</td>
<td valign="middle" align="center">7.9 &#xb1; 2.6 b</td>
<td valign="middle" align="center">0.0</td>
<td valign="middle" align="center">0.0</td>
</tr>
<tr>
<td valign="middle" align="center">2019</td>
<td valign="middle" align="center">2,304</td>
<td valign="middle" align="center">6.1 &#xb1; 3.6 b</td>
<td valign="middle" align="center">0.0</td>
<td valign="middle" align="center">0.0</td>
</tr>
<tr>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">2,560</td>
<td valign="middle" align="center">7.3 &#xb1; 3.1 b</td>
<td valign="middle" align="center">0.0</td>
<td valign="middle" align="center">0.0</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">VT2P</td>
<td valign="middle" align="center">2018</td>
<td valign="middle" align="center">5,632</td>
<td valign="middle" align="center">97.8 &#xb1; 3.9 a</td>
<td valign="middle" align="center">97.6 a</td>
<td valign="middle" align="center">56.3 &#xb1; 16.7 c</td>
</tr>
<tr>
<td valign="middle" align="center">2019</td>
<td valign="middle" align="center">9,216</td>
<td valign="middle" align="center">98.0 &#xb1; 5.6 a</td>
<td valign="middle" align="center">98.0 a</td>
<td valign="middle" align="center">84.5 &#xb1; 8.9 a</td>
</tr>
<tr>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">10,240</td>
<td valign="middle" align="center">96.1 &#xb1; 5.6 a</td>
<td valign="middle" align="center">95.8 a</td>
<td valign="middle" align="center">77.0 &#xb1; 26.8 ab</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">VT3P</td>
<td valign="middle" align="center">2018</td>
<td valign="middle" align="center">5,632</td>
<td valign="middle" align="center">96.7 &#xb1; 5.7 a</td>
<td valign="middle" align="center">96.5 a</td>
<td valign="middle" align="center">61.9 &#xb1; 13.4 bc</td>
</tr>
<tr>
<td valign="middle" align="center">2019</td>
<td valign="middle" align="center">9,216</td>
<td valign="middle" align="center">98.4 &#xb1; 2.4 a</td>
<td valign="middle" align="center">98.2 a</td>
<td valign="middle" align="center">86.6 &#xb1; 4.8 a</td>
</tr>
<tr>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">10,240</td>
<td valign="middle" align="center">93.7 &#xb1; 9.4 a</td>
<td valign="middle" align="center">93.1 a</td>
<td valign="middle" align="center">78.3 &#xb1; 16.1 ab</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>n: Number of total larvae assessed each year.</p>
</fn>
<fn>
<p>SV-1035: conventional corn hybrid (expressing no Bt protein), control.</p>
</fn>
<fn>
<p>
<sup>1</sup>Mortality: Dead larvae + L1 larvae and/or larvae weighing &#x2264;10 mg) &#xb1; SD.</p>
</fn>
<fn>
<p>
<sup>2</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>3</sup>Percentage of weight loss for live larvae 7 dac, with respect to the control (non-Bt corn).</p>
</fn>
<fn>
<p>In each column, values followed by different letters are statistically different (P&lt;0.05) according to Tukey&#x2019;s test and GLM for multiple comparisons.</p>
</fn>
<fn id="fnT3_1">
<label>a</label>
<p>ANOVA results: df=8; F=1,039.69; P&lt;0.001.</p>
</fn>
<fn id="fnT3_2">
<label>b</label>
<p>ANOVA results: df=8; F=1,256.88; P&lt;0.001.</p>
</fn>
<fn id="fnT3_3">
<label>c</label>
<p>ANOVA results: df=8; F=287.80; P&lt;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The response of <italic>S. frugiperda</italic> populations to the corn material collected from the four agricultural subregions showed statistical differences for mortality rates after consuming Non-Bt and Bt corn (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Values ranged from 7.1% for the Orinoco populations fed with non-Bt corn to 100.0% for those collected in GVCR and fed with VT2P and VT3P corn. With respect to growth inhibition (GI), there were extreme values in HC collections, with 74.2% and 84.5% recorded for collections from Orinoco, fed with VT3P and VT2P, respectively (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Means &#xb1; SD of mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn on <italic>S. frugiperda</italic> populations collected in the four agricultural subregions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Region</th>
<th valign="top" align="center">Corn</th>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">Mortality rate (%)<sup>1a</sup>
</th>
<th valign="top" align="center">H&amp;T<sup>2b</sup>
</th>
<th valign="top" align="center">%GI<sup>3c</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">HC</td>
<td valign="bottom" align="left">Non-Bt</td>
<td valign="bottom" align="center">2,176</td>
<td valign="bottom" align="center">6.8 &#xb1; 3.4 c</td>
<td valign="bottom" align="center">0.0</td>
<td valign="bottom" align="center">0.0</td>
</tr>
<tr>
<td valign="top" align="left">HC</td>
<td valign="bottom" align="left">VT2P</td>
<td valign="bottom" align="center">8,704</td>
<td valign="bottom" align="center">97.3 &#xb1; 6.1 ab</td>
<td valign="bottom" align="center">97.1 b</td>
<td valign="bottom" align="center">75.7 &#xb1; 16.7 a</td>
</tr>
<tr>
<td valign="top" align="left">HC</td>
<td valign="bottom" align="left">VT3P</td>
<td valign="bottom" align="center">8,704</td>
<td valign="bottom" align="center">98.4 &#xb1; 2.8 ab</td>
<td valign="bottom" align="center">98.3 ab</td>
<td valign="bottom" align="center">72.2 &#xb1; 16.6 a</td>
</tr>
<tr>
<td valign="bottom" align="left">Orinoquia</td>
<td valign="bottom" align="left">Non-Bt</td>
<td valign="bottom" align="center">1,152</td>
<td valign="bottom" align="center">6.6 &#xb1; 3.3 c</td>
<td valign="bottom" align="center">0.0</td>
<td valign="bottom" align="center">0.0</td>
</tr>
<tr>
<td valign="bottom" align="left">Orinoquia</td>
<td valign="bottom" align="left">VT2P</td>
<td valign="bottom" align="center">4,608</td>
<td valign="bottom" align="center">97.6 &#xb1; 2.9 ab</td>
<td valign="bottom" align="center">97.5 ab</td>
<td valign="bottom" align="center">84.7 &#xb1; 6.8 a</td>
</tr>
<tr>
<td valign="bottom" align="left">Orinoquia</td>
<td valign="bottom" align="left">VT3P</td>
<td valign="bottom" align="center">4,608</td>
<td valign="bottom" align="center">95.2 &#xb1; 6.0 ab</td>
<td valign="bottom" align="center">94.9 ab</td>
<td valign="bottom" align="center">73.3 &#xb1; 19.3 a</td>
</tr>
<tr>
<td valign="bottom" align="left">GCVR</td>
<td valign="bottom" align="left">Non-Bt</td>
<td valign="bottom" align="center">896</td>
<td valign="bottom" align="center">6.9 &#xb1; 3.5 c</td>
<td valign="bottom" align="center">0.0</td>
<td valign="bottom" align="center">0.0</td>
</tr>
<tr>
<td valign="top" align="left">GCVR</td>
<td valign="bottom" align="left">VT2P</td>
<td valign="bottom" align="center">3,584</td>
<td valign="bottom" align="center">100.0 &#xb1; 0.0 a</td>
<td valign="bottom" align="center">100.0 a</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">GCVR</td>
<td valign="bottom" align="left">VT3P</td>
<td valign="bottom" align="center">3,584</td>
<td valign="bottom" align="center">100.0 &#xb1; 0.0 a</td>
<td valign="bottom" align="center">100.0 a</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">GMVR</td>
<td valign="bottom" align="left">Non-Bt</td>
<td valign="bottom" align="center">2,048</td>
<td valign="bottom" align="center">7.5 &#xb1; 3.1 c</td>
<td valign="bottom" align="center">0.0</td>
<td valign="bottom" align="center">0.0</td>
</tr>
<tr>
<td valign="top" align="left">GMVR</td>
<td valign="bottom" align="left">VT2P</td>
<td valign="bottom" align="center">8,192</td>
<td valign="bottom" align="center">95.7 &#xb1; 6.1 ab</td>
<td valign="bottom" align="center">95.3 ab</td>
<td valign="bottom" align="center">71.7 &#xb1; 29.0 a</td>
</tr>
<tr>
<td valign="top" align="left">GMVR</td>
<td valign="bottom" align="left">VT3P</td>
<td valign="bottom" align="center">8,192</td>
<td valign="bottom" align="center">92.4 &#xb1; 9.9 b</td>
<td valign="bottom" align="center">91.7 b</td>
<td valign="bottom" align="center">81.8 &#xb1; 12.3 a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>n: Number of total larvae assessed each year.</p>
</fn>
<fn>
<p>SV-1035: conventional corn hybrid (expressing no Bt protein), control.</p>
</fn>
<fn>
<p>
<sup>1</sup>Mortality: dead larvae + larvae and/or larvae weighing &#x2264;10 mg), &#xb1; STDEV.</p>
</fn>
<fn>
<p>
<sup>2</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>3</sup>Percentage of growth inhibition for live larvae growth 7 dac, with respect to the control (non-Bt corn).</p>
</fn>
<fn>
<p>In each column, values followed by different letters are statistically different (P&lt;0.05) according to Tukey&#x2019;s test and GLM for multiple comparisons.</p>
</fn>
<fn id="fnT4_1">
<label>a</label>
<p>ANOVA results: df=11; F=781.04; P&lt;0.001.</p>
</fn>
<fn id="fnT4_2">
<label>b</label>
<p>ANOVA results: df=11; F=962.29; P&lt;0.001.</p>
</fn>
<fn id="fnT4_3">
<label>c</label>
<p>ANOVA results: df=9; F=138.51; P&lt;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Response of <italic>S. frugiperda</italic> populations, according to % Mortality Rate, % H&amp;T and Growth Inhibition (%GI), because of consuming maize materials with VT2P and VT3P technology for four agricultural subregions of Colombia for collections 2018 to 2020.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-04-1268092-g002.tif"/>
</fig>
<sec id="s3_1">
<title>Susceptibility of humid Caribbean populations</title>
<p>The response to consumption for the interaction year and for corn material showed statistical differences between non-Bt and Bt corn (VT2P, VT3P). Values ranging from 4.7 to 98.8% corresponded to the 2019 collections that consumed non-Bt corn and the 2020 collections that consumed VT3P corn, respectively (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Means &#xb1; SD of mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn on <italic>S. frugiperda</italic> collected between 2018 and 2020 in HC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Corn material</th>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">Mortality rate (%)<sup>1a</sup>
</th>
<th valign="top" align="center">H&amp;T<sup>2b</sup>
</th>
<th valign="top" align="center">%GI<sup>3c</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="top" align="center">Non-Bt</td>
<td valign="middle" align="center">512</td>
<td valign="middle" align="center">7.0 &#xb1; 3.0 b</td>
<td valign="middle" align="center">0.0</td>
<td valign="middle" align="center">0.0</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="top" align="center">Non-Bt</td>
<td valign="middle" align="center">768</td>
<td valign="middle" align="center">4.7 &#xb1; 4.4 b</td>
<td valign="middle" align="center">0.0</td>
<td valign="middle" align="center">0.0</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="top" align="center">Non-Bt</td>
<td valign="middle" align="center">896</td>
<td valign="middle" align="center">8.4 &#xb1; 1.5 b</td>
<td valign="middle" align="center">0.0</td>
<td valign="middle" align="center">0.0</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="center">VT2P</td>
<td valign="middle" align="center">2,048</td>
<td valign="middle" align="center">97.6 &#xb1; 3.5 a</td>
<td valign="middle" align="center">97.5 a</td>
<td valign="middle" align="center">57.6 &#xb1; 8.0 b</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="center">VT2P</td>
<td valign="middle" align="center">3,072</td>
<td valign="middle" align="center">95.9 &#xb1; 9.7 a</td>
<td valign="middle" align="center">95.8 a</td>
<td valign="middle" align="center">86.1 &#xb1; 8.7 a</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="center">VT2P</td>
<td valign="middle" align="center">3,584</td>
<td valign="middle" align="center">98.3 &#xb1; 3.7 a</td>
<td valign="middle" align="center">97.7 a</td>
<td valign="middle" align="center">77.0 &#xb1; 18.6 ab</td>
</tr>
<tr>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="center">VT3P</td>
<td valign="middle" align="center">2,048</td>
<td valign="middle" align="center">97.5 &#xb1; 3.8 a</td>
<td valign="middle" align="center">97.3 a</td>
<td valign="middle" align="center">61.9 &#xb1; 8.7 ab</td>
</tr>
<tr>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="center">VT3P</td>
<td valign="middle" align="center">3,072</td>
<td valign="middle" align="center">98.6 &#xb1; 2.4 a</td>
<td valign="middle" align="center">98.6 a</td>
<td valign="middle" align="center">82.0 &#xb1; 4.8 ab</td>
</tr>
<tr>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="center">VT3P</td>
<td valign="middle" align="center">3,584</td>
<td valign="middle" align="center">98.7 &#xb1; 2.9 a</td>
<td valign="middle" align="center">98.3 a</td>
<td valign="middle" align="center">75.0 &#xb1; 22.3 ab</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>n: Number of total larvae assessed each year.</p>
</fn>
<fn>
<p>SV-1035: conventional corn hybrid (expressing no Bt protein), control.</p>
</fn>
<fn>
<p>
<sup>1</sup>Mortality: dead larvae + larvae and/or larvae weighing &#x2264;10 mg), &#xb1; STDEV.</p>
</fn>
<fn>
<p>
<sup>3</sup>Percentage of weight loss for live larvae 7 dac, with respect to the control (non-Bt corn).</p>
</fn>
<fn>
<p>In each column, values followed by different letters are statistically different (P&lt;0.05) according to Tukey&#x2019;s test and GLM for multiple comparisons.</p>
</fn>
<fn>
<p>
<sup>2</sup> Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn id="fnT5_1">
<label>a</label>
<p>ANOVA results: df=8; F=462.57; P P&lt;0.001.</p>
</fn>
<fn id="fnT5_2">
<label>b</label>
<p>ANOVA results: df=8; F=756.52; P&lt;0.001.</p>
</fn>
<fn id="fnT5_3">
<label>c</label>
<p>ANOVA results: df=8; F=62.73; P&lt;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Response of <italic>S. frugiperda</italic> according to according to % Mortality Rate, % H&amp;T and Growth Inhibition (%GI), due to consuming corn materials with VT2P and VT3P technology in HC (Colombia), 2018-2020.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-04-1268092-g003.tif"/>
</fig>
<p>About collections made between 2018 and 2020, mortality due to consumption of VT2P and VT3P corn material was &gt;95.0% (H&amp;T), there were no statistical differences between materials (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) and values ranged from 57.6 to 86.1% for the %GI parameter. The effect of consuming VT2P was statistically different for populations collected in 2018 compared to the rest (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). The mortality rate (H&amp;T) for the assessed populations was between 75.6 and 100.0%. The lowest mortality rate was for the population collected in La Ceibita (Ceret&#xe9;) in 2019, due to VT2P corn consumption (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Of the 16 populations that were fed VT3P, seven showed 100.0% mortality while the rest were between 89.4 and 99.6% (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The lowest growth inhibition percentage corresponded to larvae collected in 2020 in San Antonio (Ceret&#xe9;) and fed with VT3P corn (43.9%). In contrast, the highest value for %GI was for the population collected in Cabuya (San Carlos) in 2020 and fed with VT2P (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Response of <italic>S. frugiperda</italic> populations collected in the HC (2018-2020), according to % Mortality Rate, % H&amp;T and Growth Inhibition (%GI), because of consuming of corn materials with VT2P and VT3P technology.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-04-1268092-g004.tif"/>
</fig>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Mortality rate (%H&amp;T) and growth inhibition (%) 7 days after consuming (dac) VT2P and VT3P corn on <italic>S. frugiperda</italic> populations collected between 2018 and 2020 in HC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Year</th>
<th valign="middle" rowspan="2" align="center">Municipality</th>
<th valign="middle" rowspan="2" align="center">Population</th>
<th valign="middle" colspan="2" align="center">VT2P</th>
<th valign="middle" colspan="2" align="center">VT3P</th>
</tr>
<tr>
<th valign="middle" align="center">% H&amp;T<sup>1</sup>
</th>
<th valign="middle" align="center">%GI<sup>1</sup>
</th>
<th valign="middle" align="center">% H&amp;T<sup>1</sup>
</th>
<th valign="middle" align="left">%GI<sup>1</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="center">2018</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">El Tajo</td>
<td valign="bottom" align="center">92.3</td>
<td valign="bottom" align="center">51.9</td>
<td valign="bottom" align="center">91.5</td>
<td valign="bottom" align="center">60.9</td>
</tr>
<tr>
<td valign="bottom" align="center">2018</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">Martinez</td>
<td valign="bottom" align="center">97.6</td>
<td valign="bottom" align="center">63.3</td>
<td valign="bottom" align="center">99.6</td>
<td valign="bottom" align="center">71.0</td>
</tr>
<tr>
<td valign="bottom" align="center">2018</td>
<td valign="bottom" align="left">San Benito de Abbad</td>
<td valign="bottom" align="left">La Villa</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">98.2</td>
<td valign="bottom" align="center">53.7</td>
</tr>
<tr>
<td valign="bottom" align="center">2018</td>
<td valign="bottom" align="left">San Pelayo</td>
<td valign="bottom" align="left">Carrillo</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="center">2019</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">La Ceibita</td>
<td valign="bottom" align="center">75.6</td>
<td valign="bottom" align="center">76.0</td>
<td valign="bottom" align="center">94.0</td>
<td valign="bottom" align="center">78.6</td>
</tr>
<tr>
<td valign="bottom" align="center">2019</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">Las Cacuchas</td>
<td valign="bottom" align="center">99.8</td>
<td valign="bottom" align="center">91.7</td>
<td valign="bottom" align="center">97.4</td>
<td valign="bottom" align="center">85.5</td>
</tr>
<tr>
<td valign="bottom" align="center">2019</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">Playa Rica</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="center">2019</td>
<td valign="bottom" align="left">Lorica</td>
<td valign="bottom" align="left">El Playon</td>
<td valign="bottom" align="center">1000</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="center">2019</td>
<td valign="bottom" align="left">Monteria</td>
<td valign="bottom" align="left">Mocar&#xed;</td>
<td valign="bottom" align="center">99.2</td>
<td valign="bottom" align="center">90.5</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="center">2019</td>
<td valign="bottom" align="left">Tierra Alta</td>
<td valign="bottom" align="left">Parcelas de Venezuela</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="center">2020</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">Buena Vista</td>
<td valign="bottom" align="center">99.8</td>
<td valign="bottom" align="center">87.0</td>
<td valign="bottom" align="center">99.6</td>
<td valign="bottom" align="center">91.9</td>
</tr>
<tr>
<td valign="bottom" align="center">2020</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">El Cedro</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="center">2020</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">Martinez</td>
<td valign="bottom" align="center">99.5</td>
<td valign="bottom" align="center">85.4</td>
<td valign="bottom" align="center">99.9</td>
<td valign="bottom" align="center">74.3</td>
</tr>
<tr>
<td valign="bottom" align="center">2020</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">ND</td>
<td valign="bottom" align="center">98.7</td>
<td valign="bottom" align="center">86.4</td>
<td valign="bottom" align="center">99.6</td>
<td valign="bottom" align="center">90.2</td>
</tr>
<tr>
<td valign="bottom" align="center">2020</td>
<td valign="bottom" align="left">Ceret&#xe9;</td>
<td valign="bottom" align="left">San Antonio</td>
<td valign="bottom" align="center">86.4</td>
<td valign="bottom" align="center">49.1</td>
<td valign="bottom" align="center">89.4</td>
<td valign="bottom" align="center">43.9</td>
</tr>
<tr>
<td valign="bottom" align="center">2020</td>
<td valign="bottom" align="left">San Carlos</td>
<td valign="bottom" align="left">Cabuya</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>2</sup>Percentage of weight loss for live larvae 7 dac, with respect to the control (non-Bt corn).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Response of <italic>S. frugiperda</italic> collected in GVMR (2018-2020), depending on the percentage of mortality rate, H&amp;T and Growth Inhibition (%IG), due to consumption of VT2P and VT3P corn materials.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-04-1268092-g005.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Susceptibility of geographic valley of the Magdalena river populations</title>
<p>The populations assessed in GVMR from 2018 to 2020, showed mortality rates between 85.6 and 99.9% due to Bt corn consumption, which were statistically different from what had been seen in non-Bt corn (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>). With respect to mortality (H&amp;T), values between 82.3 and 99.9% were recorded for <italic>S. frugiperda</italic> larvae fed with VT3P corn. The lowest value (82.3%) was recorded for populations collected in 2020 (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>). With reference to the %GI parameter, observations made in 2018 which were fed with VT2P corn and those made in 2019 fed with VT3P corn, were statistically different recording values of 55.4 and 89.0%, respectively (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Means &#xb1; SD of mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn on <italic>S. frugiperda</italic> collected from 2018 to 2020 in GVMR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Corn material</th>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">Mortality rate (%)<sup>1</sup>
</th>
<th valign="top" align="center">H&amp;T<sup>2</sup>
</th>
<th valign="top" align="center">%GI<sup>3</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">Non-Bt</td>
<td valign="bottom" align="center">384</td>
<td valign="bottom" align="center">8.9 &#xb1; 1.6 c</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Non-Bt</td>
<td valign="bottom" align="center">896</td>
<td valign="bottom" align="center">6.4 &#xb1; 3.2 c</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Non-Bt</td>
<td valign="bottom" align="center">768</td>
<td valign="bottom" align="center">8.1 &#xb1; 3.4 c</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">VT2P</td>
<td valign="bottom" align="center">1,536</td>
<td valign="bottom" align="center">95.2 &#xb1; 6.0 a</td>
<td valign="bottom" align="center">94.7 a</td>
<td valign="bottom" align="center">55.4 &#xb1; 22.9 a</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">VT2P</td>
<td valign="bottom" align="center">3,584</td>
<td valign="bottom" align="center">99.2 &#xb1; 1.4 a</td>
<td valign="bottom" align="center">99.2 a</td>
<td valign="bottom" align="center">86.2 &#xb1; 10.9 a</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">VT2P</td>
<td valign="bottom" align="center">3,072</td>
<td valign="bottom" align="center">91.8 &#xb1; 7.8 ab</td>
<td valign="bottom" align="center">91.0 ab</td>
<td valign="bottom" align="center">69.9 &#xb1; 39.3 a</td>
</tr>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">VT3P</td>
<td valign="bottom" align="center">1,536</td>
<td valign="bottom" align="center">99.9 &#xb1; 0.1 a</td>
<td valign="bottom" align="center">99.9 a</td>
<td valign="bottom" align="center">82.0 &#xb1; 0.0 a</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">VT3P</td>
<td valign="bottom" align="center">3,584</td>
<td valign="bottom" align="center">97.2 &#xb1; 2.8 a</td>
<td valign="bottom" align="center">96.9 a</td>
<td valign="bottom" align="center">89.0 &#xb1; 3.9 a</td>
</tr>
<tr>
<td valign="bottom" align="left">020</td>
<td valign="bottom" align="left">VT3P</td>
<td valign="bottom" align="center">3,072</td>
<td valign="bottom" align="center">83.2 &#xb1; 10.9 b</td>
<td valign="bottom" align="center">81.5 b</td>
<td valign="bottom" align="center">75.8 &#xb1; 15.0 a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SV-1035: conventional corn hybrid (expressing no Bt protein), control.</p>
</fn>
<fn>
<p>
<sup>1</sup>Mortality: dead larvae + larvae and/or larvae weighing &#x2264;10 mg).</p>
</fn>
<fn>
<p>
<sup>2</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>3</sup>Percentage of weight loss for live larvae 7 dac, with respect to the control (non-Bt corn).</p>
</fn>
<fn>
<p>In each column, values followed by different letters are statistically different (P&lt;0.05) according to Tukey&#x2019;s test and GLM for multiple comparisons.</p>
</fn>
<fn id="fnT7_1">
<label>a</label>
<p>ANOVA results: df=8; F=212.76; P&lt;0.001.</p>
</fn>
<fn id="fnT7_2">
<label>b</label>
<p>ANOVA results: df=8; F=235.69; P&lt;0.001.</p>
</fn>
<fn id="fnT7_3">
<label>c</label>
<p>ANOVA results: df=8; F=80.65; P&lt;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The behavior of each of the 16 populations assessed in GVMR for mortality % (H&amp;T) and fed with VT2P varied between 77.5 and 100%. The lowest value was recorded for the population collected in Buenos Aires (Ibagu&#xe9;, Tolima) in 2020, with growth inhibition of &gt;80.0% (<xref ref-type="table" rid="T8">
<bold>Table&#xa0;8</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). In the case of larvae fed with VT3P corn, mortality values (H&amp;T) were between 76.6 and 99.6%. Values for %GI between 48.1 and 94.4% were recorded for collections in Cardonal (Espinal, 2020) and Dindalito (Espinal, 2018) (<xref ref-type="table" rid="T8">
<bold>Table&#xa0;8</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>Mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn on <italic>S. frugiperda</italic> populations collected from 2018 to 2020 in GVMR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Year</th>
<th valign="middle" rowspan="2" align="center">Municipality</th>
<th valign="middle" rowspan="2" align="center">Population</th>
<th valign="middle" colspan="2" align="center">VT2P</th>
<th valign="middle" colspan="2" align="center">VT3P</th>
</tr>
<tr>
<th valign="middle" align="center">% H&amp;T<sup>1</sup>
</th>
<th valign="middle" align="center">%GI<sup>1</sup>
</th>
<th valign="middle" align="center">% H&amp;T<sup>1</sup>
</th>
<th valign="middle" align="center">%GI<sup>1</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Aguablanca Alta</td>
<td valign="bottom" align="center">87.0</td>
<td valign="bottom" align="center">30.2</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Dindalito-centro</td>
<td valign="bottom" align="center">97.7</td>
<td valign="bottom" align="center">75.1</td>
<td valign="bottom" align="center">99.8</td>
<td valign="bottom" align="center">82.0</td>
</tr>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">Guamo</td>
<td valign="bottom" align="left">Serrezuela</td>
<td valign="bottom" align="center">99.4</td>
<td valign="bottom" align="center">60.9</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Dindalito</td>
<td valign="bottom" align="center">96.1</td>
<td valign="bottom" align="center">89.3</td>
<td valign="bottom" align="center">97.9</td>
<td valign="bottom" align="center">94.4</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Montalvo</td>
<td valign="bottom" align="center">98.9</td>
<td valign="bottom" align="center">82.9</td>
<td valign="bottom" align="center">98.1</td>
<td valign="bottom" align="center">85.5</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">ND</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Saman</td>
<td valign="bottom" align="center">99.8</td>
<td valign="bottom" align="center">99.4</td>
<td valign="bottom" align="center">93.1</td>
<td valign="bottom" align="center">85.3</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Talura</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Flandes</td>
<td valign="bottom" align="left">Paradero</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">97.0</td>
<td valign="bottom" align="center">88.4</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Guamo</td>
<td valign="bottom" align="left">San Jorge</td>
<td valign="bottom" align="center">99.6</td>
<td valign="bottom" align="center">73.3</td>
<td valign="bottom" align="center">92.4</td>
<td valign="bottom" align="center">91.3</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Aguablanca Alta</td>
<td valign="bottom" align="center">88.2</td>
<td valign="bottom" align="center">82.2</td>
<td valign="bottom" align="center">61.0</td>
<td valign="bottom" align="center">73.5</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Canastos</td>
<td valign="bottom" align="center">83.6</td>
<td valign="bottom" align="center">92.4</td>
<td valign="bottom" align="center">81.5</td>
<td valign="bottom" align="center">84.3</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Cardonal</td>
<td valign="bottom" align="center">97.8</td>
<td valign="bottom" align="center"/>
<td valign="bottom" align="center">81.7</td>
<td valign="bottom" align="center">48.1</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Espinal</td>
<td valign="bottom" align="left">Rincon de San Fco</td>
<td valign="bottom" align="center">97.2</td>
<td valign="bottom" align="center">90.2</td>
<td valign="bottom" align="center">83.9</td>
<td valign="bottom" align="center">92.0</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Flandes</td>
<td valign="bottom" align="left">Colegio</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">99.6</td>
<td valign="bottom" align="center">76.0</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Ibagu&#xe9;</td>
<td valign="bottom" align="left">Buenos Aires</td>
<td valign="bottom" align="center">79.1</td>
<td valign="bottom" align="center">84.8</td>
<td valign="bottom" align="center">81.5</td>
<td valign="bottom" align="center">80.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>2</sup>Percentage of weight loss for live larvae 7 dac, with respect to the control.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Response of <italic>S. frugiperda</italic> populations according to % Mortality Rate, % H&amp;T and Growth Inhibition (%GI), due to consuming corn materials with VT2P and VT3P technology in GVMR (Colombia) 2018-2020.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-04-1268092-g006.tif"/>
</fig>
</sec>
<sec id="s4_3">
<title>Susceptibility of Orinoquia populations</title>
<p>For the collections made between 2018 and 2020 in the Orinoco, it was possible to establish values for the mortality rate parameter at between 3.9 and 100%, which showed significant differences because of consuming of non-Bt corn and Bt corn (VT2P and VT3P) (<xref ref-type="table" rid="T9">
<bold>Table&#xa0;9</bold>
</xref>). There was a statistical difference in mortality (H&amp;T) between the larvae collected in 2018 and fed with VT3P (90.7%), compared to those collected in 2018 and larvae fed with VT2P (100.0%) (<xref ref-type="table" rid="T9">
<bold>Table&#xa0;9</bold>
</xref>, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). There were also statistical differences for growth inhibition, because of Bt corn consumption, with values ranging from between 55.3 and 88.7%. These corresponded to the 2018 collections which were fed with VT3P, and the larvae collected in 2020 fed with VT2P, respectively. Regarding the nine populations fed with VT2P corn, mortality rate values (H&amp;T) ranged between 92.7 and 100.0%. Values for %GI were 78.8% for larvae collected in 2019 in El Crucero (Granada) and 92.1% for the collections in 2020 in Bajo Pompeya (Villavicencio) (<xref ref-type="table" rid="T9">
<bold>Table&#xa0;9</bold>
</xref>). The mortality rate (H&amp;T) values were higher than 80.0% because of consuming VT3P corn. The lowest mortality rate (H&amp;T) was for the population collected in 2018 in Toro (Puerto L&#xf3;pez) (<xref ref-type="table" rid="T10">
<bold>Table&#xa0;10</bold>
</xref>). In contrast, values for %GI ranged from 39.5 to 93.2%, with the lowest value given to the population collected in El Toro (Puerto Lopez) in 2018 (<xref ref-type="table" rid="T10">
<bold>Table&#xa0;10</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>).</p>
<table-wrap id="T9" position="float">
<label>Table&#xa0;9</label>
<caption>
<p>Means &#xb1; SD of mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn, on <italic>S. frugiperda</italic> collected between 2018 and 2020 in the Orinoquia.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Corn material</th>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">Mortality rate (%)<sup>1</sup>
</th>
<th valign="top" align="center">H&amp;T<sup>2</sup>
</th>
<th valign="top" align="center">%GI<sup>3</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="middle" align="left">Non-Bt</td>
<td valign="bottom" align="center">384</td>
<td valign="bottom" align="center">9.1 &#xb1; 2.7 c</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="top" align="left">Non-Bt</td>
<td valign="bottom" align="center">384</td>
<td valign="bottom" align="center">6.8 &#xb1; 3.3 c</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="top" align="left">Non-Bt</td>
<td valign="bottom" align="center">384</td>
<td valign="bottom" align="center">3.9 &#xb1; 2.3 c</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="middle" align="left">VT2P</td>
<td valign="bottom" align="center">1,536</td>
<td valign="bottom" align="center">100.0 &#xb1; 0.0 a</td>
<td valign="bottom" align="center">100.0 a</td>
<td valign="bottom" align="center"/>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="top" align="left">VT2P</td>
<td valign="bottom" align="center">1,536</td>
<td valign="bottom" align="center">98.4 &#xb1; 2.5 a</td>
<td valign="bottom" align="center">98.2 a</td>
<td valign="bottom" align="center">78.7 &#xb1; 6.4 a</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="top" align="left">VT2P</td>
<td valign="bottom" align="center">1,536</td>
<td valign="bottom" align="center">94.5 &#xb1; 1.6 a</td>
<td valign="bottom" align="center">94.3 a</td>
<td valign="bottom" align="center">88.7 &#xb1; 3.5 a</td>
</tr>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="middle" align="left">VT3P</td>
<td valign="bottom" align="center">1,536</td>
<td valign="bottom" align="center">91.4 &#xb1; 8.9 a</td>
<td valign="bottom" align="center">90.7 a</td>
<td valign="bottom" align="center">55.3 &#xb1; 14.1 b</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="middle" align="left">VT3P</td>
<td valign="bottom" align="center">1,536</td>
<td valign="bottom" align="center">99.5 &#xb1; 0.9 a</td>
<td valign="bottom" align="center">99.4 a</td>
<td valign="bottom" align="center">83.7 &#xb1; 0.0 a</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="middle" align="left">VT3P</td>
<td valign="bottom" align="center">1,536</td>
<td valign="bottom" align="center">94.7 &#xb1; 4.0 a</td>
<td valign="bottom" align="center">94.5 a</td>
<td valign="bottom" align="center">87.9 &#xb1; 7.8 a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SV-1035: conventional corn hybrid (expressing no Bt protein), control.</p>
</fn>
<fn>
<p>
<sup>1</sup>Mortality: dead larvae + larvae and/or larvae weighing &#x2264;10 mg).</p>
</fn>
<fn>
<p>
<sup>2</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>3</sup>Percentage of weight loss for live larvae 7 dac, with respect to the control non-Bt corn).</p>
</fn>
<fn>
<p>In each column, values followed by different letters are statistically different (P&lt;0.05) according to Tukey&#x2019;s test and GLM for multiple comparisons.</p>
</fn>
<fn id="fnT9_1">
<label>a</label>
<p>ANOVA results: df=8; F=460.81; P&lt;0.001.</p>
</fn>
<fn id="fnT9_2">
<label>b</label>
<p>ANOVA results: df=8; F=701.16 P&lt;0.001.</p>
</fn>
<fn id="fnT9_3">
<label>c</label>
<p>ANOVA results: df=7; F=145.63; P&lt;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Response of <italic>S. frugiperda</italic> collected in Orinoquia (2018-2020), depending on the percentage of mortality rate, H&amp;T and Growth Inhibition (%IG), due to consumption of VT2P and VT3P corn materials.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-04-1268092-g007.tif"/>
</fig>
<table-wrap id="T10" position="float">
<label>Table&#xa0;10</label>
<caption>
<p>Mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn on <italic>S. frugiperda</italic> populations collected from 2018 to 2020 in the Orinoquia.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Year</th>
<th valign="middle" rowspan="2" align="center">Municipality</th>
<th valign="middle" rowspan="2" align="center">Population</th>
<th valign="middle" colspan="2" align="center">VT2P</th>
<th valign="middle" colspan="2" align="center">VT3P</th>
</tr>
<tr>
<th valign="middle" align="center">% H&amp;T<sup>1</sup>
</th>
<th valign="middle" align="center">%GI<sup>1</sup>
</th>
<th valign="middle" align="center">% H&amp;T<sup>1</sup>
</th>
<th valign="middle" align="center">%GI<sup>1</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">Granada</td>
<td valign="bottom" align="left">El Crucero</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">93.6</td>
<td valign="bottom" align="center">66.6</td>
</tr>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">Pto Gaitan</td>
<td valign="bottom" align="left">La Cristalina</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">98.3</td>
<td valign="bottom" align="center">59.8</td>
</tr>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">Pto Lopez</td>
<td valign="bottom" align="left">El Toro</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">80.2</td>
<td valign="bottom" align="center">39.5</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Granada</td>
<td valign="bottom" align="left">Crucero</td>
<td valign="bottom" align="center">95.1</td>
<td valign="bottom" align="center">74.2</td>
<td valign="bottom" align="center">98.3</td>
<td valign="bottom" align="center">83.7</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Pto Lopez</td>
<td valign="bottom" align="left">El Toro</td>
<td valign="bottom" align="center">99.6</td>
<td valign="bottom" align="center">83.2</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Pto Lopez</td>
<td valign="bottom" align="left">ND</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Puerto L&#xf3;pez</td>
<td valign="bottom" align="left">Yurimera</td>
<td valign="bottom" align="center">92.7</td>
<td valign="bottom" align="center">89.0</td>
<td valign="bottom" align="center">89.9</td>
<td valign="bottom" align="center">91.5</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">San Carlos de Guaroa</td>
<td valign="bottom" align="left">Surimena</td>
<td valign="bottom" align="center">94.4</td>
<td valign="bottom" align="center">85.1</td>
<td valign="bottom" align="center">97.1</td>
<td valign="bottom" align="center">78.9</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Villavicencio</td>
<td valign="bottom" align="left">Bajo Pompeya</td>
<td valign="bottom" align="center">95.7</td>
<td valign="bottom" align="center">92.1</td>
<td valign="bottom" align="center">96.5</td>
<td valign="bottom" align="center">93.2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>2</sup>Percentage weight loss for live larvae 7 dac, with respect to the control (non-Bt corn).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Response of <italic>S. frugiperda</italic> populations according to % Mortality Rate, % H&amp;T and Growth Inhibition (%GI), due to consuming corn materials with VT2P and VT3P technology in Orinoquia (Colombia) 2018-2020.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-04-1268092-g008.tif"/>
</fig>
</sec>
<sec id="s4_4">
<title>Susceptibility of GVCR populations</title>
<p>There were statistical differences for the mortality rate for the interaction year and corn material (<xref ref-type="table" rid="T11">
<bold>Table&#xa0;11</bold>
</xref>). Mortality rate values ranged from 4.7 to 100.0% due to consuming Non-Bt and Bt corn (VT2P - VT3P), respectively (<xref ref-type="table" rid="T11">
<bold>Table&#xa0;11</bold>
</xref>). All six populations collected in the GVCR showed 100% mortality in response to consuming plant material with VT2P and VT3P technologies (<xref ref-type="table" rid="T12">
<bold>Table&#xa0;12</bold>
</xref>).</p>
<table-wrap id="T11" position="float">
<label>Table&#xa0;11</label>
<caption>
<p>Means &#xb1; SD of mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn on <italic>S. frugiperda</italic> collected between 2018 and 2020 in GVCR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Year</th>
<th valign="middle" align="center">Corn material</th>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">Mortality rate (%)<sup>1a</sup>
</th>
<th valign="middle" align="center">H&amp;T<sup>2</sup>
</th>
<th valign="middle" align="left">%GI<sup>3</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">2018</td>
<td valign="middle" align="center">Non-Bt</td>
<td valign="bottom" align="center">128</td>
<td valign="bottom" align="center">4.7 &#xb1; NA b</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">2019</td>
<td valign="top" align="center">Non-Bt</td>
<td valign="bottom" align="center">256</td>
<td valign="bottom" align="center">8.6 &#xb1; 3.3 b</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">2020</td>
<td valign="top" align="center">Non-Bt</td>
<td valign="bottom" align="center">512</td>
<td valign="bottom" align="center">6.6 &#xb1; 4.2 b</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">2018</td>
<td valign="middle" align="center">VT2P</td>
<td valign="middle" align="center">512</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">2019</td>
<td valign="middle" align="center">VT2P</td>
<td valign="middle" align="center">2,048</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">VT2P</td>
<td valign="middle" align="center">2,048</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">2018</td>
<td valign="middle" align="center">VT3P</td>
<td valign="middle" align="center">512</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">2019</td>
<td valign="middle" align="center">VT3P</td>
<td valign="middle" align="center">2,048</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">VT3P</td>
<td valign="middle" align="center">2,048</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">100.0 a</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SV-1035: conventional corn hybrid (expressing no Bt protein), control.</p>
</fn>
<fn>
<p>
<sup>1</sup>Mortality: dead larvae + larvae and/or larvae weighing &#x2264;10 mg).</p>
</fn>
<fn>
<p>
<sup>2</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>3</sup>Percentage of weight loss for live larvae 7 dac, with respect to the control (non-Bt corn).</p>
</fn>
<fn>
<p>In each column, values followed by different letters are statistically different (P&lt;0.05) according to Tukey&#x2019;s test and GLM for multiple comparisons.</p>
</fn>
<fn id="fnT11_1">
<label>a</label>
<p>ANOVA results: df=8; F=1,666.05; P&lt;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T12" position="float">
<label>Table&#xa0;12</label>
<caption>
<p>Mortality rate and growth inhibition 7 days after consuming (dac) non-Bt, VT2P and VT3P corn on <italic>S. frugiperda</italic> populations collected from 2018 to 2020 in GVCR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Year</th>
<th valign="middle" rowspan="2" align="center">Municipality</th>
<th valign="middle" rowspan="2" align="center">Population</th>
<th valign="middle" colspan="2" align="center">VT PRO<sup>&#xae;</sup>
</th>
<th valign="middle" colspan="2" align="center">VT3P</th>
</tr>
<tr>
<th valign="middle" align="center">% H&amp;T<sup>1</sup>
</th>
<th valign="middle" align="center">%GI<sup>1</sup>
</th>
<th valign="middle" align="center">% H&amp;T<sup>1</sup>
</th>
<th valign="middle" align="center">%GI<sup>1</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">2018</td>
<td valign="bottom" align="left">Cartago</td>
<td valign="bottom" align="left">Guayabita</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Palmira</td>
<td valign="bottom" align="left">ND</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2019</td>
<td valign="bottom" align="left">Roldanillo</td>
<td valign="bottom" align="left">Morelia</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Ginebra</td>
<td valign="bottom" align="left">La selva</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Riofrio</td>
<td valign="bottom" align="left">ND</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Roldanillo</td>
<td valign="bottom" align="left">Tierra Blanca</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">2020</td>
<td valign="bottom" align="left">Yotoco</td>
<td valign="bottom" align="left">LA Legua</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="bottom" align="center">100.0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Mortality rate: H&amp;T corrected mortality.</p>
</fn>
<fn>
<p>
<sup>2</sup>Percentage of weight loss for live larvae 7 dac, with respect to the control (non-Bt corn).</p>
</fn>
<fn>
<p>NA, Not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<title>Discussion</title>
<p>The susceptibility of <italic>S. frugiperda</italic> to corn materials with <italic>B. thuringiensis</italic> insecticidal endotoxins can be influenced by multiple biotic and abiotic factors. However, the data reported in this study is about the susceptibility of <italic>S. frugiperda</italic> populations collected in the four agricultural subregions of Colombia after consuming VT2P (cry1A.105-Cry2Ab2) and VT3P (Cry1A.105-Cry2Ab2-Cry3Bb1) corn by mortality rate and percentage of growth inhibition. These results agree with the results reported under field conditions (<xref ref-type="bibr" rid="B53">53</xref>), about the effect of corn materials expressing Cry1A.105 and Cry2Ab2 proteins.</p>
<p>Previous studies on the effect of the consumption of Bt corn expressing Cry1A.105 and Cry2Ab2 proteins on the survival of <italic>S. frugiperda</italic> larvae indicated mortality rates from 97.0 to 100.0% (<xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B57">57</xref>). In this study, the mortality rate for <italic>S. frugiperda</italic> populations assessed from 2018 to 2020 in Colombia (because of consuming corn containing VT2P and VT3P technologies) confirms their susceptibility to these proteins which have produced an effective control for <italic>S. frugiperda</italic> under this study&#x2019;s conditions. This contrasts with the results reported by (<xref ref-type="bibr" rid="B56">56</xref>) that showed 100% mortality 21 days after consuming corn containing Cry1A.105, Cry2Ab2, Cry3Bb1 proteins. Growth inhibition (GI) values greater than 57.0% denote a sublethal effect on <italic>S. frugiperda</italic> as a result of the consumption of VT2P and VT3P corn, generating an impact on the population over time, which with the proper implementation of refuge areas, will become a strategy that leads to the susceptibility of <italic>S. frugiperda</italic> over time (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>Analyzing the impact of the consumption of Bt corn material on mortality and growth inhibition rates (according to the year collected and the corn material consumed), it was possible to determine the efficacy of Bt proteins on the populations of <italic>S. frugiperda</italic> assessed from 2018 to 2020 in Colombia. These results confirm the current susceptibility of <italic>S. frugiperda</italic> to VT2P and VT3P corn materials in the subregions assessed under the conditions in this study.</p>
<p>Assessing the impact of consuming VT2P and VT3P corn (according to four agricultural subregions of Colombia from which the <italic>S. frugiperda</italic> was collected), it was found that there was no statistical difference in mortality rates between the subregions, and that in regions such as the GVCR, all the populations that were assessed demonstrated high susceptibility to the proteins expressed in VT2P and VT3P corn. Additionally, larvae that managed to survive after seven days of consuming Bt corn, showed values for growth inhibition (%GI) that were higher than 74.0%, compared to larvae fed with non-Bt corn. It was confirmed that (regardless of origin), seven days of consuming corn with Cry1A.105, Cry2Ab2, Cry3Bb1 proteins produces a sublethal effect on live larvae according to their growth inhibition (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>In the case of the <italic>S. frugiperda</italic> populations collected in HC, the lowest mortality rates corresponded to the 2020 collections from San Antonio (Ceret&#xe9;) and coincided with the lowest percentages for growth inhibition (GI), after consuming VT2P and VT3P corn for seven days. This information establishes a baseline for future research aimed at detecting possible changes in the susceptibility of <italic>S. frugiperda</italic> in the HC subregion. (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>In the case of GVMR, the lowest mortality rate value corresponded to the population collected in 2020 and fed with VT2P and VT3P corn. In contrast, the lowest growth inhibition percentage was recorded for larvae fed with VT2P corn in 2018 and for larvae fed with VT3P in 2020. This confirms the importance of <italic>S. frugiperda</italic> monitoring programs as a tool for identifying possible changes in susceptibility to commercially released proteins as early as possible (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>The mortality rate in Orinoquia between 2018 and 2020 shows the current susceptibility of <italic>S. frugiperda</italic> in that region. Moreover, the effect on larval development according to growth inhibition (with respect to larvae fed with Non-Bt corn) was sublethal (<xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>The GVMR is the only region in Colombia where all <italic>S. frugiperda</italic> populations demonstrated high susceptibility consuming Bt corn expressing Cry1A.105 - Cry2Ab2 (VT2P) and Cry1A.105 - Cry2Ab2 - Cry3Bb1 (VT3P) proteins.</p>
<p>This information highlights the importance of constant monitoring (under field conditions) to detect variations in the susceptibility of <italic>S. frugiperda</italic> populations, and this is particularly important in tropical conditions. In addition, careful attention needs to be paid to the high genetic variability of <italic>S. frugiperda</italic> currently reported in Colombia (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B60">60</xref>). This monitoring also needs to be carried out to compare results obtained in laboratory conditions and the efficacy of technologies used in the field (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Finally, these monitoring results should be treated with caution (the conditions of the study should be taken into consideration), when implementing strategies that encourage the susceptibility of <italic>S. frugiperda</italic> in Colombia.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JR-C: Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing &#x2013; original draft. SV: Investigation, Methodology, Supervision, Writing &#x2013; review &amp; editing. AR-C: Investigation, Methodology, Writing &#x2013; review &amp; editing. FS-G: Writing &#x2013; review &amp; editing, Resources. DR: Writing &#x2013; review &amp; editing, Supervision.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. Donor Bayer S.A.; Funding Type: BLR; Region: LAC; Bioversity-CIAT Alliance internal code 471.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
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<citation citation-type="journal">
<person-group person-group-type="author">
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</name>
<name>
<surname>Herrera-Mayorga</surname> <given-names>V</given-names>
</name>
<name>
<surname>Rivera</surname> <given-names>G</given-names>
</name>
<name>
<surname>Mireles-Mart&#xed;nez</surname> <given-names>M</given-names>
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