Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat

Autores
Slafer, Gustavo Ariel; García, Guillermo Ariel; Serrago, Roman Augusto; Miralles, Daniel Julio
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Most of the required increases in food production over the next decades are expected to be achieved through increases in crop yield. As wheat is essential for food security it is worrying that its yield gains over the last two decades were small. To achieve further yield increases it is critical to continue increasing number of grains per unit area (GN m-2), the trait best related to yield. In this context, it is relevant to identify the main determinants of GN m-2 in response to genetic and environmental factors as well as the trade-offs between them. In the present study we compiled a large database across the literature to analyse the relative importance of components when affected by genetic or environmental factors, producing small or large changes in GN m-2 and its components, either numerical (the number of spikes per m2, SN m-2; and the number of grains per spike, GN spike-1) or physiological (spike dry weight at anthesis, SDWa; and fruiting efficiency, FE) determinants. The database included 367 papers published in: (i) Field Crop Research (FCR), (ii) European Journal of Agronomy (EJA), (iii) Crop Science (CS) and (iv) Crop and Pasture Science (CPS, formerly Australian Journal of Agricultural Research) between 1990 and 2020. The complete dataset was split into classes, depending on the source of experimental variation, environment or genotype and was normalised to remove the differences between experiments and determine the environmental and genotypic effects within each experiment. Normalised data showed that the responsiveness of GN m-2 was similarly explained by changes in both SN m-2 and GN spike-1, but in terms of physiological components SDWa was more relevant than FE for explaining the variations in GN m-2. Considering the numerical components of GN m-2 genotypic and environmental factors modified more GN spike-1 than in SN m-2. On the other hand, physiological components were differently modified by genotype and environment: for genotypic effects FE was more critical than SDWa and the other way around for environmental factors. A trade-off between numerical and physiological components was observed although was greater between physiological than between numerical components.
Fil: Slafer, Gustavo Ariel. 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. Universidad de Lleida; España
Fil: García, Guillermo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura; Argentina
Fil: Serrago, Roman Augusto. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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
Materia
FRUITING EFFICIENCY
NUMBER OF GRAINS
NUMBER OF SPIKES
SPIKE DRY WEIGHT
TRITICUM AESTIVUM
YIELD COMPONENTS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/210678

id CONICETDig_7e6e38a403e83ed5c2001da416ccb187
oai_identifier_str oai:ri.conicet.gov.ar:11336/210678
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheatSlafer, Gustavo ArielGarcía, Guillermo ArielSerrago, Roman AugustoMiralles, Daniel JulioFRUITING EFFICIENCYNUMBER OF GRAINSNUMBER OF SPIKESSPIKE DRY WEIGHTTRITICUM AESTIVUMYIELD COMPONENTShttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Most of the required increases in food production over the next decades are expected to be achieved through increases in crop yield. As wheat is essential for food security it is worrying that its yield gains over the last two decades were small. To achieve further yield increases it is critical to continue increasing number of grains per unit area (GN m-2), the trait best related to yield. In this context, it is relevant to identify the main determinants of GN m-2 in response to genetic and environmental factors as well as the trade-offs between them. In the present study we compiled a large database across the literature to analyse the relative importance of components when affected by genetic or environmental factors, producing small or large changes in GN m-2 and its components, either numerical (the number of spikes per m2, SN m-2; and the number of grains per spike, GN spike-1) or physiological (spike dry weight at anthesis, SDWa; and fruiting efficiency, FE) determinants. The database included 367 papers published in: (i) Field Crop Research (FCR), (ii) European Journal of Agronomy (EJA), (iii) Crop Science (CS) and (iv) Crop and Pasture Science (CPS, formerly Australian Journal of Agricultural Research) between 1990 and 2020. The complete dataset was split into classes, depending on the source of experimental variation, environment or genotype and was normalised to remove the differences between experiments and determine the environmental and genotypic effects within each experiment. Normalised data showed that the responsiveness of GN m-2 was similarly explained by changes in both SN m-2 and GN spike-1, but in terms of physiological components SDWa was more relevant than FE for explaining the variations in GN m-2. Considering the numerical components of GN m-2 genotypic and environmental factors modified more GN spike-1 than in SN m-2. On the other hand, physiological components were differently modified by genotype and environment: for genotypic effects FE was more critical than SDWa and the other way around for environmental factors. A trade-off between numerical and physiological components was observed although was greater between physiological than between numerical components.Fil: Slafer, Gustavo Ariel. 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. Universidad de Lleida; EspañaFil: García, Guillermo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura; ArgentinaFil: Serrago, Roman Augusto. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: 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; ArgentinaElsevier Science2022-09info: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/11336/210678Slafer, Gustavo Ariel; García, Guillermo Ariel; Serrago, Roman Augusto; Miralles, Daniel Julio; Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat; Elsevier Science; Field Crops Research; 285; 9-2022; 1-240378-4290CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378429022001642info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fcr.2022.108593info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:22Zoai:ri.conicet.gov.ar:11336/210678instacron: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 10:04:22.823CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat
title Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat
spellingShingle Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat
Slafer, Gustavo Ariel
FRUITING EFFICIENCY
NUMBER OF GRAINS
NUMBER OF SPIKES
SPIKE DRY WEIGHT
TRITICUM AESTIVUM
YIELD COMPONENTS
title_short Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat
title_full Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat
title_fullStr Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat
title_full_unstemmed Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat
title_sort Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat
dc.creator.none.fl_str_mv Slafer, Gustavo Ariel
García, Guillermo Ariel
Serrago, Roman Augusto
Miralles, Daniel Julio
author Slafer, Gustavo Ariel
author_facet Slafer, Gustavo Ariel
García, Guillermo Ariel
Serrago, Roman Augusto
Miralles, Daniel Julio
author_role author
author2 García, Guillermo Ariel
Serrago, Roman Augusto
Miralles, Daniel Julio
author2_role author
author
author
dc.subject.none.fl_str_mv FRUITING EFFICIENCY
NUMBER OF GRAINS
NUMBER OF SPIKES
SPIKE DRY WEIGHT
TRITICUM AESTIVUM
YIELD COMPONENTS
topic FRUITING EFFICIENCY
NUMBER OF GRAINS
NUMBER OF SPIKES
SPIKE DRY WEIGHT
TRITICUM AESTIVUM
YIELD COMPONENTS
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Most of the required increases in food production over the next decades are expected to be achieved through increases in crop yield. As wheat is essential for food security it is worrying that its yield gains over the last two decades were small. To achieve further yield increases it is critical to continue increasing number of grains per unit area (GN m-2), the trait best related to yield. In this context, it is relevant to identify the main determinants of GN m-2 in response to genetic and environmental factors as well as the trade-offs between them. In the present study we compiled a large database across the literature to analyse the relative importance of components when affected by genetic or environmental factors, producing small or large changes in GN m-2 and its components, either numerical (the number of spikes per m2, SN m-2; and the number of grains per spike, GN spike-1) or physiological (spike dry weight at anthesis, SDWa; and fruiting efficiency, FE) determinants. The database included 367 papers published in: (i) Field Crop Research (FCR), (ii) European Journal of Agronomy (EJA), (iii) Crop Science (CS) and (iv) Crop and Pasture Science (CPS, formerly Australian Journal of Agricultural Research) between 1990 and 2020. The complete dataset was split into classes, depending on the source of experimental variation, environment or genotype and was normalised to remove the differences between experiments and determine the environmental and genotypic effects within each experiment. Normalised data showed that the responsiveness of GN m-2 was similarly explained by changes in both SN m-2 and GN spike-1, but in terms of physiological components SDWa was more relevant than FE for explaining the variations in GN m-2. Considering the numerical components of GN m-2 genotypic and environmental factors modified more GN spike-1 than in SN m-2. On the other hand, physiological components were differently modified by genotype and environment: for genotypic effects FE was more critical than SDWa and the other way around for environmental factors. A trade-off between numerical and physiological components was observed although was greater between physiological than between numerical components.
Fil: Slafer, Gustavo Ariel. 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. Universidad de Lleida; España
Fil: García, Guillermo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura; Argentina
Fil: Serrago, Roman Augusto. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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
description Most of the required increases in food production over the next decades are expected to be achieved through increases in crop yield. As wheat is essential for food security it is worrying that its yield gains over the last two decades were small. To achieve further yield increases it is critical to continue increasing number of grains per unit area (GN m-2), the trait best related to yield. In this context, it is relevant to identify the main determinants of GN m-2 in response to genetic and environmental factors as well as the trade-offs between them. In the present study we compiled a large database across the literature to analyse the relative importance of components when affected by genetic or environmental factors, producing small or large changes in GN m-2 and its components, either numerical (the number of spikes per m2, SN m-2; and the number of grains per spike, GN spike-1) or physiological (spike dry weight at anthesis, SDWa; and fruiting efficiency, FE) determinants. The database included 367 papers published in: (i) Field Crop Research (FCR), (ii) European Journal of Agronomy (EJA), (iii) Crop Science (CS) and (iv) Crop and Pasture Science (CPS, formerly Australian Journal of Agricultural Research) between 1990 and 2020. The complete dataset was split into classes, depending on the source of experimental variation, environment or genotype and was normalised to remove the differences between experiments and determine the environmental and genotypic effects within each experiment. Normalised data showed that the responsiveness of GN m-2 was similarly explained by changes in both SN m-2 and GN spike-1, but in terms of physiological components SDWa was more relevant than FE for explaining the variations in GN m-2. Considering the numerical components of GN m-2 genotypic and environmental factors modified more GN spike-1 than in SN m-2. On the other hand, physiological components were differently modified by genotype and environment: for genotypic effects FE was more critical than SDWa and the other way around for environmental factors. A trade-off between numerical and physiological components was observed although was greater between physiological than between numerical components.
publishDate 2022
dc.date.none.fl_str_mv 2022-09
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/11336/210678
Slafer, Gustavo Ariel; García, Guillermo Ariel; Serrago, Roman Augusto; Miralles, Daniel Julio; Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat; Elsevier Science; Field Crops Research; 285; 9-2022; 1-24
0378-4290
CONICET Digital
CONICET
url http://hdl.handle.net/11336/210678
identifier_str_mv Slafer, Gustavo Ariel; García, Guillermo Ariel; Serrago, Roman Augusto; Miralles, Daniel Julio; Physiological drivers of responses of grains per m2 to environmental and genetic factors in wheat; Elsevier Science; Field Crops Research; 285; 9-2022; 1-24
0378-4290
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://www.sciencedirect.com/science/article/pii/S0378429022001642
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fcr.2022.108593
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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
_version_ 1844613869276758016
score 13.070432