Consistent Risk Assessment Outcomes from Agronomic Characterization of GE Maize in Diverse Regions and as Single‐Event and Stacked Products

ABSTRACT In commercializing a genetically engineered (GE) crop, agronomic characterization studies that contribute to environmental risk assessment (ERA) may be repeated in different global regions. Likewise, these studies may be done both for single‐event GE products and for traditional breeding cr...

Full description

Saved in:
Bibliographic Details
Published in:Crop science 2019-07, Vol.59 (4), p.1681-1691
Main Authors: Clawson, Ernest L., Perrett, Jamis J., Cheng, Lulu, Ahmad, Aqeel, Stojšin, Duška, McGowan, Yan, Díaz, Oscar Heredia, Asim, Muhammad, Vertuan, Hallison, Quddusi, Murtaza, Soares, Daniel J.
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c3578-6a0e1d6dac30c0516af35d0fc302fd5d06f8792219d8a10bd7aa516c398e07793
cites cdi_FETCH-LOGICAL-c3578-6a0e1d6dac30c0516af35d0fc302fd5d06f8792219d8a10bd7aa516c398e07793
container_end_page 1691
container_issue 4
container_start_page 1681
container_title Crop science
container_volume 59
creator Clawson, Ernest L.
Perrett, Jamis J.
Cheng, Lulu
Ahmad, Aqeel
Stojšin, Duška
McGowan, Yan
Díaz, Oscar Heredia
Asim, Muhammad
Vertuan, Hallison
Quddusi, Murtaza
Soares, Daniel J.
description ABSTRACT In commercializing a genetically engineered (GE) crop, agronomic characterization studies that contribute to environmental risk assessment (ERA) may be repeated in different global regions. Likewise, these studies may be done both for single‐event GE products and for traditional breeding crosses that combine GE events (breeding stacks). The objectives of this research were to assess the need for de novo agronomic characterization if previously done in another region or for each event in a breeding stack. Data were obtained for the GE maize (Zea mays L.) products MON 89034 (insect protected), NK603 (herbicide tolerant), and the breeding stack MON 89034 × NK603. The field trials were done from 2004 to 2014 in Argentina, Brazil, Mexico, Pakistan, and/or the United States. Sources of environmental diversity among the regions (i.e., countries) included differences in the prevalent climate classes of their sites. Although values for the agronomic characteristics varied among regions, event × region interactions caused
doi_str_mv 10.2135/cropsci2018.12.0758
format article
fullrecord <record><control><sourceid>wiley_cross</sourceid><recordid>TN_cdi_crossref_primary_10_2135_cropsci2018_12_0758</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CSC2CROPSCI2018120758</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3578-6a0e1d6dac30c0516af35d0fc302fd5d06f8792219d8a10bd7aa516c398e07793</originalsourceid><addsrcrecordid>eNqNkM1OwkAUhSdGExF9AjfzAsX5sZ12SSooCQYCmrhrxvnBEdohcwsGVr6Aic_ok9iKC5eu7j3n3nMWH0KXlPQY5fGVCn4NyjFC0x5lPSLi9Ah16DWPI5LE_Bh1CKE0oil_OkVnAK-EEJGJuIM-cl-Bg9pUNZ45WOI-gAEoWz3Z1MqXBrANvsT9RfCVL53C-YsMUtUmuL2sna-wt_h2gO-l2xvsKnzjtiaAwTOzaK6AZaWxBDx31WJlvt4_B9u2vXXntVRLo_E0eL1RNZyjEytXYC5-Zxc9DgcP-V00ntyO8v44UjwWaZRIYqhOtFScKBLTRFoea2IbyaxutsSmImOMZjqVlDxrIWXzpXiWGiJExruIH3obcADB2GIdXCnDrqCkaIkWf4gWlBUt0SY1PKTe3Mrs_hMp8nnO8tlkOs9HrU_ZT9E319-EQw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Consistent Risk Assessment Outcomes from Agronomic Characterization of GE Maize in Diverse Regions and as Single‐Event and Stacked Products</title><source>Wiley-Blackwell Read &amp; Publish Collection</source><creator>Clawson, Ernest L. ; Perrett, Jamis J. ; Cheng, Lulu ; Ahmad, Aqeel ; Stojšin, Duška ; McGowan, Yan ; Díaz, Oscar Heredia ; Asim, Muhammad ; Vertuan, Hallison ; Quddusi, Murtaza ; Soares, Daniel J.</creator><creatorcontrib>Clawson, Ernest L. ; Perrett, Jamis J. ; Cheng, Lulu ; Ahmad, Aqeel ; Stojšin, Duška ; McGowan, Yan ; Díaz, Oscar Heredia ; Asim, Muhammad ; Vertuan, Hallison ; Quddusi, Murtaza ; Soares, Daniel J.</creatorcontrib><description>ABSTRACT In commercializing a genetically engineered (GE) crop, agronomic characterization studies that contribute to environmental risk assessment (ERA) may be repeated in different global regions. Likewise, these studies may be done both for single‐event GE products and for traditional breeding crosses that combine GE events (breeding stacks). The objectives of this research were to assess the need for de novo agronomic characterization if previously done in another region or for each event in a breeding stack. Data were obtained for the GE maize (Zea mays L.) products MON 89034 (insect protected), NK603 (herbicide tolerant), and the breeding stack MON 89034 × NK603. The field trials were done from 2004 to 2014 in Argentina, Brazil, Mexico, Pakistan, and/or the United States. Sources of environmental diversity among the regions (i.e., countries) included differences in the prevalent climate classes of their sites. Although values for the agronomic characteristics varied among regions, event × region interactions caused &lt;1% of the total variability for each GE product. Within each region, comparisons of GE products and near‐isogenic conventional controls were largely nonsignificant. When considering agronomic characteristics, a consistent risk assessment outcome—no evidence of increased potential to become a plant pest—was found in each region and for the single‐event products and the breeding stack. The results support ERA policies that provide for (i) acceptance of agronomic characterization data from other regions (data transportability) and (ii) exemption of breeding stacks from agronomic characterization, based on case‐by‐case assessments of plausible risks.</description><identifier>ISSN: 0011-183X</identifier><identifier>EISSN: 1435-0653</identifier><identifier>DOI: 10.2135/cropsci2018.12.0758</identifier><language>eng</language><publisher>The Crop Science Society of America, Inc</publisher><ispartof>Crop science, 2019-07, Vol.59 (4), p.1681-1691</ispartof><rights>2019 The Authors.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3578-6a0e1d6dac30c0516af35d0fc302fd5d06f8792219d8a10bd7aa516c398e07793</citedby><cites>FETCH-LOGICAL-c3578-6a0e1d6dac30c0516af35d0fc302fd5d06f8792219d8a10bd7aa516c398e07793</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Clawson, Ernest L.</creatorcontrib><creatorcontrib>Perrett, Jamis J.</creatorcontrib><creatorcontrib>Cheng, Lulu</creatorcontrib><creatorcontrib>Ahmad, Aqeel</creatorcontrib><creatorcontrib>Stojšin, Duška</creatorcontrib><creatorcontrib>McGowan, Yan</creatorcontrib><creatorcontrib>Díaz, Oscar Heredia</creatorcontrib><creatorcontrib>Asim, Muhammad</creatorcontrib><creatorcontrib>Vertuan, Hallison</creatorcontrib><creatorcontrib>Quddusi, Murtaza</creatorcontrib><creatorcontrib>Soares, Daniel J.</creatorcontrib><title>Consistent Risk Assessment Outcomes from Agronomic Characterization of GE Maize in Diverse Regions and as Single‐Event and Stacked Products</title><title>Crop science</title><description>ABSTRACT In commercializing a genetically engineered (GE) crop, agronomic characterization studies that contribute to environmental risk assessment (ERA) may be repeated in different global regions. Likewise, these studies may be done both for single‐event GE products and for traditional breeding crosses that combine GE events (breeding stacks). The objectives of this research were to assess the need for de novo agronomic characterization if previously done in another region or for each event in a breeding stack. Data were obtained for the GE maize (Zea mays L.) products MON 89034 (insect protected), NK603 (herbicide tolerant), and the breeding stack MON 89034 × NK603. The field trials were done from 2004 to 2014 in Argentina, Brazil, Mexico, Pakistan, and/or the United States. Sources of environmental diversity among the regions (i.e., countries) included differences in the prevalent climate classes of their sites. Although values for the agronomic characteristics varied among regions, event × region interactions caused &lt;1% of the total variability for each GE product. Within each region, comparisons of GE products and near‐isogenic conventional controls were largely nonsignificant. When considering agronomic characteristics, a consistent risk assessment outcome—no evidence of increased potential to become a plant pest—was found in each region and for the single‐event products and the breeding stack. The results support ERA policies that provide for (i) acceptance of agronomic characterization data from other regions (data transportability) and (ii) exemption of breeding stacks from agronomic characterization, based on case‐by‐case assessments of plausible risks.</description><issn>0011-183X</issn><issn>1435-0653</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNqNkM1OwkAUhSdGExF9AjfzAsX5sZ12SSooCQYCmrhrxvnBEdohcwsGVr6Aic_ok9iKC5eu7j3n3nMWH0KXlPQY5fGVCn4NyjFC0x5lPSLi9Ah16DWPI5LE_Bh1CKE0oil_OkVnAK-EEJGJuIM-cl-Bg9pUNZ45WOI-gAEoWz3Z1MqXBrANvsT9RfCVL53C-YsMUtUmuL2sna-wt_h2gO-l2xvsKnzjtiaAwTOzaK6AZaWxBDx31WJlvt4_B9u2vXXntVRLo_E0eL1RNZyjEytXYC5-Zxc9DgcP-V00ntyO8v44UjwWaZRIYqhOtFScKBLTRFoea2IbyaxutsSmImOMZjqVlDxrIWXzpXiWGiJExruIH3obcADB2GIdXCnDrqCkaIkWf4gWlBUt0SY1PKTe3Mrs_hMp8nnO8tlkOs9HrU_ZT9E319-EQw</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Clawson, Ernest L.</creator><creator>Perrett, Jamis J.</creator><creator>Cheng, Lulu</creator><creator>Ahmad, Aqeel</creator><creator>Stojšin, Duška</creator><creator>McGowan, Yan</creator><creator>Díaz, Oscar Heredia</creator><creator>Asim, Muhammad</creator><creator>Vertuan, Hallison</creator><creator>Quddusi, Murtaza</creator><creator>Soares, Daniel J.</creator><general>The Crop Science Society of America, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201907</creationdate><title>Consistent Risk Assessment Outcomes from Agronomic Characterization of GE Maize in Diverse Regions and as Single‐Event and Stacked Products</title><author>Clawson, Ernest L. ; Perrett, Jamis J. ; Cheng, Lulu ; Ahmad, Aqeel ; Stojšin, Duška ; McGowan, Yan ; Díaz, Oscar Heredia ; Asim, Muhammad ; Vertuan, Hallison ; Quddusi, Murtaza ; Soares, Daniel J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3578-6a0e1d6dac30c0516af35d0fc302fd5d06f8792219d8a10bd7aa516c398e07793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Clawson, Ernest L.</creatorcontrib><creatorcontrib>Perrett, Jamis J.</creatorcontrib><creatorcontrib>Cheng, Lulu</creatorcontrib><creatorcontrib>Ahmad, Aqeel</creatorcontrib><creatorcontrib>Stojšin, Duška</creatorcontrib><creatorcontrib>McGowan, Yan</creatorcontrib><creatorcontrib>Díaz, Oscar Heredia</creatorcontrib><creatorcontrib>Asim, Muhammad</creatorcontrib><creatorcontrib>Vertuan, Hallison</creatorcontrib><creatorcontrib>Quddusi, Murtaza</creatorcontrib><creatorcontrib>Soares, Daniel J.</creatorcontrib><collection>Wiley-Blackwell Open Access Collection</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><jtitle>Crop science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Clawson, Ernest L.</au><au>Perrett, Jamis J.</au><au>Cheng, Lulu</au><au>Ahmad, Aqeel</au><au>Stojšin, Duška</au><au>McGowan, Yan</au><au>Díaz, Oscar Heredia</au><au>Asim, Muhammad</au><au>Vertuan, Hallison</au><au>Quddusi, Murtaza</au><au>Soares, Daniel J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Consistent Risk Assessment Outcomes from Agronomic Characterization of GE Maize in Diverse Regions and as Single‐Event and Stacked Products</atitle><jtitle>Crop science</jtitle><date>2019-07</date><risdate>2019</risdate><volume>59</volume><issue>4</issue><spage>1681</spage><epage>1691</epage><pages>1681-1691</pages><issn>0011-183X</issn><eissn>1435-0653</eissn><abstract>ABSTRACT In commercializing a genetically engineered (GE) crop, agronomic characterization studies that contribute to environmental risk assessment (ERA) may be repeated in different global regions. Likewise, these studies may be done both for single‐event GE products and for traditional breeding crosses that combine GE events (breeding stacks). The objectives of this research were to assess the need for de novo agronomic characterization if previously done in another region or for each event in a breeding stack. Data were obtained for the GE maize (Zea mays L.) products MON 89034 (insect protected), NK603 (herbicide tolerant), and the breeding stack MON 89034 × NK603. The field trials were done from 2004 to 2014 in Argentina, Brazil, Mexico, Pakistan, and/or the United States. Sources of environmental diversity among the regions (i.e., countries) included differences in the prevalent climate classes of their sites. Although values for the agronomic characteristics varied among regions, event × region interactions caused &lt;1% of the total variability for each GE product. Within each region, comparisons of GE products and near‐isogenic conventional controls were largely nonsignificant. When considering agronomic characteristics, a consistent risk assessment outcome—no evidence of increased potential to become a plant pest—was found in each region and for the single‐event products and the breeding stack. The results support ERA policies that provide for (i) acceptance of agronomic characterization data from other regions (data transportability) and (ii) exemption of breeding stacks from agronomic characterization, based on case‐by‐case assessments of plausible risks.</abstract><pub>The Crop Science Society of America, Inc</pub><doi>10.2135/cropsci2018.12.0758</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0011-183X
ispartof Crop science, 2019-07, Vol.59 (4), p.1681-1691
issn 0011-183X
1435-0653
language eng
recordid cdi_crossref_primary_10_2135_cropsci2018_12_0758
source Wiley-Blackwell Read & Publish Collection
title Consistent Risk Assessment Outcomes from Agronomic Characterization of GE Maize in Diverse Regions and as Single‐Event and Stacked Products
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T15%3A17%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Consistent%20Risk%20Assessment%20Outcomes%20from%20Agronomic%20Characterization%20of%20GE%20Maize%20in%20Diverse%20Regions%20and%20as%20Single%E2%80%90Event%20and%20Stacked%20Products&rft.jtitle=Crop%20science&rft.au=Clawson,%20Ernest%20L.&rft.date=2019-07&rft.volume=59&rft.issue=4&rft.spage=1681&rft.epage=1691&rft.pages=1681-1691&rft.issn=0011-183X&rft.eissn=1435-0653&rft_id=info:doi/10.2135/cropsci2018.12.0758&rft_dat=%3Cwiley_cross%3ECSC2CROPSCI2018120758%3C/wiley_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3578-6a0e1d6dac30c0516af35d0fc302fd5d06f8792219d8a10bd7aa516c398e07793%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true