Wheat crop traits conferring high yield potential may also improve yield stability under climate change

Autores
Stella, Tommaso; Webber, Heidi; Eyshi Rezaei, Ehsan; Asseng, Senthold; Martre, Pierre; Dueri, Sibylle; Guarin, Jose Rafael; Pequeno, Diego N. L.; Calderini, Daniel Fernando; Reynolds, Matthew; Molero, Gemma; Miralles, Daniel Julio; Garcia, Guillermo Manuel; Slafer, Gustavo Ariel; Giunta, Francesco; Kim, Yean Uk; Wang, Chenzhi; Ruane, Alex C.; Ewert, Frank
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Increasing genetic wheat yield potential is considered by many as critical to increasing global wheat yields and production, baring majorchanges in consumption patterns. Climate change challenges breeding by making target environments less predictable, altering regionalproductivity and potentially increasing yield variability. Here we used a crop simulation model solution in the SIMPLACE framework toexplore yield sensitivity to select trait characteristics (radiation use efficiency [RUE], fruiting efficiency and light extinction coefficient)across 34 locations representing the world’s wheat-producing environments, determining their relationship to increasing yields, yield variability and cultivar performance. The magnitude of the yield increase was trait-dependent and differed between irrigated and rainfedenvironments. RUE had the most prominent marginal effect on yield, which increased by about 45 % and 33 % in irrigated and rainfedsites, respectively, between the minimum and maximum value of the trait. Altered values of light extinction coefficient had the least effecton yield levels. Higher yields from improved traits were generally associated with increased inter-annual yield variability (measured bystandard deviation), but the relative yield variability (as coefficient of variation) remained largely unchanged between base and improvedgenotypes. This was true under both current and future climate scenarios. In this context, our study suggests higher wheat yields from thesetraits would not increase climate risk for farmers and the adoption of cultivars with these traits would not be associated with increased yieldvariability.
Fil: Stella, Tommaso. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Webber, Heidi. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Eyshi Rezaei, Ehsan. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Asseng, Senthold. Universitat Technical Zu Munich; Alemania
Fil: Martre, Pierre. Laboratoire d’Écophysiologie des Plantes Sous Stress Environnementaux; Francia
Fil: Dueri, Sibylle. Laboratoire d’Écophysiologie des Plantes Sous Stress Environnementaux; Francia
Fil: Guarin, Jose Rafael. University of Florida; Estados Unidos. Columbia University; Estados Unidos. National Aeronautics and Space Administration. Goddard Institute for Space Studies; Estados Unidos
Fil: Pequeno, Diego N. L.. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Calderini, Daniel Fernando. Universidad Austral de Chile; Chile
Fil: Reynolds, Matthew. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Molero, Gemma. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Miralles, Daniel Julio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Garcia, Guillermo Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Slafer, Gustavo Ariel. Universidad de Lleida; España. Institució Catalana de Recerca i Estudis Avancats; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Giunta, Francesco. University of Sassari; Italia
Fil: Kim, Yean Uk. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Wang, Chenzhi. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Ruane, Alex C.. National Aeronautics and Space Administration. Goddard Institute for Space Studies; Estados Unidos
Fil: Ewert, Frank. Leibniz Centre for Agricultural Landscape Research; Alemania. Universitat Bonn; Alemania
Materia
Climate change
Yield
Wheat
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/257103

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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Wheat crop traits conferring high yield potential may also improve yield stability under climate changeStella, TommasoWebber, HeidiEyshi Rezaei, EhsanAsseng, SentholdMartre, PierreDueri, SibylleGuarin, Jose RafaelPequeno, Diego N. L.Calderini, Daniel FernandoReynolds, MatthewMolero, GemmaMiralles, Daniel JulioGarcia, Guillermo ManuelSlafer, Gustavo ArielGiunta, FrancescoKim, Yean UkWang, ChenzhiRuane, Alex C.Ewert, FrankClimate changeYieldWheathttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Increasing genetic wheat yield potential is considered by many as critical to increasing global wheat yields and production, baring majorchanges in consumption patterns. Climate change challenges breeding by making target environments less predictable, altering regionalproductivity and potentially increasing yield variability. Here we used a crop simulation model solution in the SIMPLACE framework toexplore yield sensitivity to select trait characteristics (radiation use efficiency [RUE], fruiting efficiency and light extinction coefficient)across 34 locations representing the world’s wheat-producing environments, determining their relationship to increasing yields, yield variability and cultivar performance. The magnitude of the yield increase was trait-dependent and differed between irrigated and rainfedenvironments. RUE had the most prominent marginal effect on yield, which increased by about 45 % and 33 % in irrigated and rainfedsites, respectively, between the minimum and maximum value of the trait. Altered values of light extinction coefficient had the least effecton yield levels. Higher yields from improved traits were generally associated with increased inter-annual yield variability (measured bystandard deviation), but the relative yield variability (as coefficient of variation) remained largely unchanged between base and improvedgenotypes. This was true under both current and future climate scenarios. In this context, our study suggests higher wheat yields from thesetraits would not increase climate risk for farmers and the adoption of cultivars with these traits would not be associated with increased yieldvariability.Fil: Stella, Tommaso. Leibniz Centre for Agricultural Landscape Research; AlemaniaFil: Webber, Heidi. Leibniz Centre for Agricultural Landscape Research; AlemaniaFil: Eyshi Rezaei, Ehsan. Leibniz Centre for Agricultural Landscape Research; AlemaniaFil: Asseng, Senthold. Universitat Technical Zu Munich; AlemaniaFil: Martre, Pierre. Laboratoire d’Écophysiologie des Plantes Sous Stress Environnementaux; FranciaFil: Dueri, Sibylle. Laboratoire d’Écophysiologie des Plantes Sous Stress Environnementaux; FranciaFil: Guarin, Jose Rafael. University of Florida; Estados Unidos. Columbia University; Estados Unidos. National Aeronautics and Space Administration. Goddard Institute for Space Studies; Estados UnidosFil: Pequeno, Diego N. L.. Centro Internacional de Mejoramiento de Maíz y Trigo; MéxicoFil: Calderini, Daniel Fernando. Universidad Austral de Chile; ChileFil: Reynolds, Matthew. Centro Internacional de Mejoramiento de Maíz y Trigo; MéxicoFil: Molero, Gemma. Centro Internacional de Mejoramiento de Maíz y Trigo; MéxicoFil: Miralles, Daniel Julio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Garcia, Guillermo Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Slafer, Gustavo Ariel. Universidad de Lleida; España. Institució Catalana de Recerca i Estudis Avancats; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Giunta, Francesco. University of Sassari; ItaliaFil: Kim, Yean Uk. Leibniz Centre for Agricultural Landscape Research; AlemaniaFil: Wang, Chenzhi. Leibniz Centre for Agricultural Landscape Research; AlemaniaFil: Ruane, Alex C.. National Aeronautics and Space Administration. Goddard Institute for Space Studies; Estados UnidosFil: Ewert, Frank. Leibniz Centre for Agricultural Landscape Research; Alemania. Universitat Bonn; AlemaniaOxford University Press2023-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/257103Stella, Tommaso; Webber, Heidi; Eyshi Rezaei, Ehsan; Asseng, Senthold; Martre, Pierre; et al.; Wheat crop traits conferring high yield potential may also improve yield stability under climate change; Oxford University Press; In Silico Plants; 5; 2; 7-2023; 1-16; diad0132517-5025CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/insilicoplants/article/doi/10.1093/insilicoplants/diad013/7274856info:eu-repo/semantics/altIdentifier/doi/10.1093/insilicoplants/diad013info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:28Zoai:ri.conicet.gov.ar:11336/257103instacron: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:34982025-09-03 10:04:28.335CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Wheat crop traits conferring high yield potential may also improve yield stability under climate change
title Wheat crop traits conferring high yield potential may also improve yield stability under climate change
spellingShingle Wheat crop traits conferring high yield potential may also improve yield stability under climate change
Stella, Tommaso
Climate change
Yield
Wheat
title_short Wheat crop traits conferring high yield potential may also improve yield stability under climate change
title_full Wheat crop traits conferring high yield potential may also improve yield stability under climate change
title_fullStr Wheat crop traits conferring high yield potential may also improve yield stability under climate change
title_full_unstemmed Wheat crop traits conferring high yield potential may also improve yield stability under climate change
title_sort Wheat crop traits conferring high yield potential may also improve yield stability under climate change
dc.creator.none.fl_str_mv Stella, Tommaso
Webber, Heidi
Eyshi Rezaei, Ehsan
Asseng, Senthold
Martre, Pierre
Dueri, Sibylle
Guarin, Jose Rafael
Pequeno, Diego N. L.
Calderini, Daniel Fernando
Reynolds, Matthew
Molero, Gemma
Miralles, Daniel Julio
Garcia, Guillermo Manuel
Slafer, Gustavo Ariel
Giunta, Francesco
Kim, Yean Uk
Wang, Chenzhi
Ruane, Alex C.
Ewert, Frank
author Stella, Tommaso
author_facet Stella, Tommaso
Webber, Heidi
Eyshi Rezaei, Ehsan
Asseng, Senthold
Martre, Pierre
Dueri, Sibylle
Guarin, Jose Rafael
Pequeno, Diego N. L.
Calderini, Daniel Fernando
Reynolds, Matthew
Molero, Gemma
Miralles, Daniel Julio
Garcia, Guillermo Manuel
Slafer, Gustavo Ariel
Giunta, Francesco
Kim, Yean Uk
Wang, Chenzhi
Ruane, Alex C.
Ewert, Frank
author_role author
author2 Webber, Heidi
Eyshi Rezaei, Ehsan
Asseng, Senthold
Martre, Pierre
Dueri, Sibylle
Guarin, Jose Rafael
Pequeno, Diego N. L.
Calderini, Daniel Fernando
Reynolds, Matthew
Molero, Gemma
Miralles, Daniel Julio
Garcia, Guillermo Manuel
Slafer, Gustavo Ariel
Giunta, Francesco
Kim, Yean Uk
Wang, Chenzhi
Ruane, Alex C.
Ewert, Frank
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Climate change
Yield
Wheat
topic Climate change
Yield
Wheat
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Increasing genetic wheat yield potential is considered by many as critical to increasing global wheat yields and production, baring majorchanges in consumption patterns. Climate change challenges breeding by making target environments less predictable, altering regionalproductivity and potentially increasing yield variability. Here we used a crop simulation model solution in the SIMPLACE framework toexplore yield sensitivity to select trait characteristics (radiation use efficiency [RUE], fruiting efficiency and light extinction coefficient)across 34 locations representing the world’s wheat-producing environments, determining their relationship to increasing yields, yield variability and cultivar performance. The magnitude of the yield increase was trait-dependent and differed between irrigated and rainfedenvironments. RUE had the most prominent marginal effect on yield, which increased by about 45 % and 33 % in irrigated and rainfedsites, respectively, between the minimum and maximum value of the trait. Altered values of light extinction coefficient had the least effecton yield levels. Higher yields from improved traits were generally associated with increased inter-annual yield variability (measured bystandard deviation), but the relative yield variability (as coefficient of variation) remained largely unchanged between base and improvedgenotypes. This was true under both current and future climate scenarios. In this context, our study suggests higher wheat yields from thesetraits would not increase climate risk for farmers and the adoption of cultivars with these traits would not be associated with increased yieldvariability.
Fil: Stella, Tommaso. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Webber, Heidi. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Eyshi Rezaei, Ehsan. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Asseng, Senthold. Universitat Technical Zu Munich; Alemania
Fil: Martre, Pierre. Laboratoire d’Écophysiologie des Plantes Sous Stress Environnementaux; Francia
Fil: Dueri, Sibylle. Laboratoire d’Écophysiologie des Plantes Sous Stress Environnementaux; Francia
Fil: Guarin, Jose Rafael. University of Florida; Estados Unidos. Columbia University; Estados Unidos. National Aeronautics and Space Administration. Goddard Institute for Space Studies; Estados Unidos
Fil: Pequeno, Diego N. L.. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Calderini, Daniel Fernando. Universidad Austral de Chile; Chile
Fil: Reynolds, Matthew. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Molero, Gemma. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Miralles, Daniel Julio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Garcia, Guillermo Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Slafer, Gustavo Ariel. Universidad de Lleida; España. Institució Catalana de Recerca i Estudis Avancats; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Giunta, Francesco. University of Sassari; Italia
Fil: Kim, Yean Uk. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Wang, Chenzhi. Leibniz Centre for Agricultural Landscape Research; Alemania
Fil: Ruane, Alex C.. National Aeronautics and Space Administration. Goddard Institute for Space Studies; Estados Unidos
Fil: Ewert, Frank. Leibniz Centre for Agricultural Landscape Research; Alemania. Universitat Bonn; Alemania
description Increasing genetic wheat yield potential is considered by many as critical to increasing global wheat yields and production, baring majorchanges in consumption patterns. Climate change challenges breeding by making target environments less predictable, altering regionalproductivity and potentially increasing yield variability. Here we used a crop simulation model solution in the SIMPLACE framework toexplore yield sensitivity to select trait characteristics (radiation use efficiency [RUE], fruiting efficiency and light extinction coefficient)across 34 locations representing the world’s wheat-producing environments, determining their relationship to increasing yields, yield variability and cultivar performance. The magnitude of the yield increase was trait-dependent and differed between irrigated and rainfedenvironments. RUE had the most prominent marginal effect on yield, which increased by about 45 % and 33 % in irrigated and rainfedsites, respectively, between the minimum and maximum value of the trait. Altered values of light extinction coefficient had the least effecton yield levels. Higher yields from improved traits were generally associated with increased inter-annual yield variability (measured bystandard deviation), but the relative yield variability (as coefficient of variation) remained largely unchanged between base and improvedgenotypes. This was true under both current and future climate scenarios. In this context, our study suggests higher wheat yields from thesetraits would not increase climate risk for farmers and the adoption of cultivars with these traits would not be associated with increased yieldvariability.
publishDate 2023
dc.date.none.fl_str_mv 2023-07
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/11336/257103
Stella, Tommaso; Webber, Heidi; Eyshi Rezaei, Ehsan; Asseng, Senthold; Martre, Pierre; et al.; Wheat crop traits conferring high yield potential may also improve yield stability under climate change; Oxford University Press; In Silico Plants; 5; 2; 7-2023; 1-16; diad013
2517-5025
CONICET Digital
CONICET
url http://hdl.handle.net/11336/257103
identifier_str_mv Stella, Tommaso; Webber, Heidi; Eyshi Rezaei, Ehsan; Asseng, Senthold; Martre, Pierre; et al.; Wheat crop traits conferring high yield potential may also improve yield stability under climate change; Oxford University Press; In Silico Plants; 5; 2; 7-2023; 1-16; diad013
2517-5025
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/insilicoplants/article/doi/10.1093/insilicoplants/diad013/7274856
info:eu-repo/semantics/altIdentifier/doi/10.1093/insilicoplants/diad013
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
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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