Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes

Autores
Vila Aiub, Martin Miguel; Gundel, Pedro Emilio; Preston, Christopher
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Since the beginning of agriculture, crops have been exposed to recurrent invasion by weeds that can impose severe reductions in crop quality and yield. There have been continuing efforts to reduce the impacts of weeds on production. More than 40 yr ago, overreliance on herbicide technology to reduce weed infestations resulted in the selection of adaptive traits that enabled weed survival and reproduction under herbicide treatments. As a result, herbicide resistance in > 200 weed species has evolved worldwide.
Fil: Vila Aiub, Martin Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Gundel, Pedro Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Preston, Christopher. University of Adelaide. School of Agriculture, Food and Wine; Australia
Materia
Evolutionary ecology of resistance
Fitness traits
Resistance frequency
Resistance management
Target and nontarget site mutation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/4268
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/4268
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genesVila Aiub, Martin MiguelGundel, Pedro EmilioPreston, ChristopherEvolutionary ecology of resistanceFitness traitsResistance frequencyResistance managementTarget and nontarget site mutationhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Since the beginning of agriculture, crops have been exposed to recurrent invasion by weeds that can impose severe reductions in crop quality and yield. There have been continuing efforts to reduce the impacts of weeds on production. More than 40 yr ago, overreliance on herbicide technology to reduce weed infestations resulted in the selection of adaptive traits that enabled weed survival and reproduction under herbicide treatments. As a result, herbicide resistance in > 200 weed species has evolved worldwide.Fil: Vila Aiub, Martin Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Gundel, Pedro Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Preston, Christopher. University of Adelaide. School of Agriculture, Food and Wine; AustraliaWeed Science Society of America2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4268Vila Aiub, Martin Miguel; Gundel, Pedro Emilio; Preston, Christopher; Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes; Weed Science Society of America; Weed Science; 63; sp 1; 1-2015; 203-2160043-1745enginfo:eu-repo/semantics/altIdentifier/url/http://www.wssajournals.org/doi/abs/10.1614/WS-D-14-00062.1info:eu-repo/semantics/altIdentifier/url/http://www.bioone.org/doi/abs/10.1614/WS-D-14-00062.1info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1614/WS-D-14-00062.1info:eu-repo/semantics/altIdentifier/issn/0043-1745info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:29Zoai:ri.conicet.gov.ar:11336/4268instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:33:30.031CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes
title Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes
spellingShingle Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes
Vila Aiub, Martin Miguel
Evolutionary ecology of resistance
Fitness traits
Resistance frequency
Resistance management
Target and nontarget site mutation
title_short Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes
title_full Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes
title_fullStr Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes
title_full_unstemmed Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes
title_sort Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes
dc.creator.none.fl_str_mv Vila Aiub, Martin Miguel
Gundel, Pedro Emilio
Preston, Christopher
author Vila Aiub, Martin Miguel
author_facet Vila Aiub, Martin Miguel
Gundel, Pedro Emilio
Preston, Christopher
author_role author
author2 Gundel, Pedro Emilio
Preston, Christopher
author2_role author
author
dc.subject.none.fl_str_mv Evolutionary ecology of resistance
Fitness traits
Resistance frequency
Resistance management
Target and nontarget site mutation
topic Evolutionary ecology of resistance
Fitness traits
Resistance frequency
Resistance management
Target and nontarget site mutation
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Since the beginning of agriculture, crops have been exposed to recurrent invasion by weeds that can impose severe reductions in crop quality and yield. There have been continuing efforts to reduce the impacts of weeds on production. More than 40 yr ago, overreliance on herbicide technology to reduce weed infestations resulted in the selection of adaptive traits that enabled weed survival and reproduction under herbicide treatments. As a result, herbicide resistance in > 200 weed species has evolved worldwide.
Fil: Vila Aiub, Martin Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Gundel, Pedro Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Preston, Christopher. University of Adelaide. School of Agriculture, Food and Wine; Australia
description Since the beginning of agriculture, crops have been exposed to recurrent invasion by weeds that can impose severe reductions in crop quality and yield. There have been continuing efforts to reduce the impacts of weeds on production. More than 40 yr ago, overreliance on herbicide technology to reduce weed infestations resulted in the selection of adaptive traits that enabled weed survival and reproduction under herbicide treatments. As a result, herbicide resistance in > 200 weed species has evolved worldwide.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/4268
Vila Aiub, Martin Miguel; Gundel, Pedro Emilio; Preston, Christopher; Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes; Weed Science Society of America; Weed Science; 63; sp 1; 1-2015; 203-216
0043-1745
url http://hdl.handle.net/11336/4268
identifier_str_mv Vila Aiub, Martin Miguel; Gundel, Pedro Emilio; Preston, Christopher; Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes; Weed Science Society of America; Weed Science; 63; sp 1; 1-2015; 203-216
0043-1745
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.wssajournals.org/doi/abs/10.1614/WS-D-14-00062.1
info:eu-repo/semantics/altIdentifier/url/http://www.bioone.org/doi/abs/10.1614/WS-D-14-00062.1
info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1614/WS-D-14-00062.1
info:eu-repo/semantics/altIdentifier/issn/0043-1745
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Weed Science Society of America
publisher.none.fl_str_mv Weed Science Society of America
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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