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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/257103
Ver los metadatos del registro completo
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oai:ri.conicet.gov.ar:11336/257103 |
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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) |
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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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1842269856346406912 |
score |
12.885934 |