Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina

Autores
Curti, Ramiro Nestor; Vega, Abelardo J. de la; Andrade, Alberto Juan; Bramardi, Sergio Jorge; Bertero, Héctor Daniel
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The quinoa growing region of Northwest Argentina (NWA) shows a strong environmental variability, both seasonal and spatial. In consequence, the site-year combinations in which yield trials are established can complicate quinoa genotypic selection through strong genotype-by-environment interactions (G E). The magnitude and nature of the genotype (G) and G E interaction effects for grain yield, its physiological determinants and components, and days-to-flower exhibited by quinoa at NWA were examined in a multi-environment trial involving a reference set of 12 genotypes tested in six environments. The tested genotypes were selected based on their known contrasting relative performance to environments and different geographical origin. They represent three out of the four genotypic groups identified in previous studies. The G E interaction to G component of variance was 3:1, 30:1 and 1.3:1 for grain yield, harvest index and grain number, respectively. Conversely, the G effect was large for biomass, grain weight and days-to-flower. Two-mode pattern analysis of the double-centered matrix for grain yield revealed four genotypic groups with different response pattern across environments. This clustering which separates genotypes from highlands and valleys showed a close correspondence with the genotypic groups previously proposed based on phenotypic and genetic characterization. On the other hand, a strong and repeatable negative association was observed between highland and valley sites, in terms of their G E interaction effects. Phenological variation among genotypes in combination with environmental differences in the incidence of mildew or frost risk gave rise to significant crossover yield responses to site changes and determined specific adaptation to different ecological conditions. All yield components and determinants were involved in the genotype- specific yield responses. The genotypic variability observed for time to flowering determined the form of the G E interactions observed for total above-ground biomass in valley environments, while in the highland sites, harvest index made a significant contribution. On the other hand, grain number was the major component in grain yield determination, while grain weight showed a weak to strongly negative association with grain number across both types of environment. In this sense, the future breeding programs in NWA region should focus on these physiological attributes underlying grain yield variation among genotypes across groups of environments for faster genetic progress.
EEA Abra Pampa
Fil: Curti, Ramiro Nestor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Escuela de Agronomía. Laboratorio de Investigaciones Botánicas; Argentina
Fil: Vega, Abelardo J. de la. DuPont Pioneer; España
Fil: Andrade, Alberto Juan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Abra Pampa; Argentina
Fil: Bramardi, Sergio Jorge. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina. Universidad Nacional del Comahue; Argentina
Fil: Bertero, Hector Daniel. 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
Fuente
Field crops research 166 : 46–57. (2014)
Materia
Chenopodium Quinoa
Genotipos
Mildiu
Interacción Genotipo Ambiente
Caracteres de Rendimiento
Yield Components
Genotype Environment Interaction
Downy Mildews
Genotypes
Quinoa
Región Noroeste
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/2820

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network_name_str INTA Digital (INTA)
spelling Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest ArgentinaCurti, Ramiro NestorVega, Abelardo J. de laAndrade, Alberto JuanBramardi, Sergio JorgeBertero, Héctor DanielChenopodium QuinoaGenotiposMildiuInteracción Genotipo AmbienteCaracteres de RendimientoYield ComponentsGenotype Environment InteractionDowny MildewsGenotypesQuinoaRegión NoroesteThe quinoa growing region of Northwest Argentina (NWA) shows a strong environmental variability, both seasonal and spatial. In consequence, the site-year combinations in which yield trials are established can complicate quinoa genotypic selection through strong genotype-by-environment interactions (G E). The magnitude and nature of the genotype (G) and G E interaction effects for grain yield, its physiological determinants and components, and days-to-flower exhibited by quinoa at NWA were examined in a multi-environment trial involving a reference set of 12 genotypes tested in six environments. The tested genotypes were selected based on their known contrasting relative performance to environments and different geographical origin. They represent three out of the four genotypic groups identified in previous studies. The G E interaction to G component of variance was 3:1, 30:1 and 1.3:1 for grain yield, harvest index and grain number, respectively. Conversely, the G effect was large for biomass, grain weight and days-to-flower. Two-mode pattern analysis of the double-centered matrix for grain yield revealed four genotypic groups with different response pattern across environments. This clustering which separates genotypes from highlands and valleys showed a close correspondence with the genotypic groups previously proposed based on phenotypic and genetic characterization. On the other hand, a strong and repeatable negative association was observed between highland and valley sites, in terms of their G E interaction effects. Phenological variation among genotypes in combination with environmental differences in the incidence of mildew or frost risk gave rise to significant crossover yield responses to site changes and determined specific adaptation to different ecological conditions. All yield components and determinants were involved in the genotype- specific yield responses. The genotypic variability observed for time to flowering determined the form of the G E interactions observed for total above-ground biomass in valley environments, while in the highland sites, harvest index made a significant contribution. On the other hand, grain number was the major component in grain yield determination, while grain weight showed a weak to strongly negative association with grain number across both types of environment. In this sense, the future breeding programs in NWA region should focus on these physiological attributes underlying grain yield variation among genotypes across groups of environments for faster genetic progress.EEA Abra PampaFil: Curti, Ramiro Nestor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Escuela de Agronomía. Laboratorio de Investigaciones Botánicas; ArgentinaFil: Vega, Abelardo J. de la. DuPont Pioneer; EspañaFil: Andrade, Alberto Juan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Abra Pampa; ArgentinaFil: Bramardi, Sergio Jorge. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina. Universidad Nacional del Comahue; ArgentinaFil: Bertero, Hector Daniel. 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; Argentina2018-07-18T18:40:01Z2018-07-18T18:40:01Z2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/2820https://www.sciencedirect.com/science/article/pii/S03784290140015670378-4290https://doi.org/10.1016/j.fcr.2014.06.011Field crops research 166 : 46–57. (2014)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengArgentina (nation)info:eu-repo/semantics/restrictedAccess2025-09-11T10:22:26Zoai:localhost:20.500.12123/2820instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-11 10:22:27.155INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
title Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
spellingShingle Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
Curti, Ramiro Nestor
Chenopodium Quinoa
Genotipos
Mildiu
Interacción Genotipo Ambiente
Caracteres de Rendimiento
Yield Components
Genotype Environment Interaction
Downy Mildews
Genotypes
Quinoa
Región Noroeste
title_short Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
title_full Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
title_fullStr Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
title_full_unstemmed Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
title_sort Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
dc.creator.none.fl_str_mv Curti, Ramiro Nestor
Vega, Abelardo J. de la
Andrade, Alberto Juan
Bramardi, Sergio Jorge
Bertero, Héctor Daniel
author Curti, Ramiro Nestor
author_facet Curti, Ramiro Nestor
Vega, Abelardo J. de la
Andrade, Alberto Juan
Bramardi, Sergio Jorge
Bertero, Héctor Daniel
author_role author
author2 Vega, Abelardo J. de la
Andrade, Alberto Juan
Bramardi, Sergio Jorge
Bertero, Héctor Daniel
author2_role author
author
author
author
dc.subject.none.fl_str_mv Chenopodium Quinoa
Genotipos
Mildiu
Interacción Genotipo Ambiente
Caracteres de Rendimiento
Yield Components
Genotype Environment Interaction
Downy Mildews
Genotypes
Quinoa
Región Noroeste
topic Chenopodium Quinoa
Genotipos
Mildiu
Interacción Genotipo Ambiente
Caracteres de Rendimiento
Yield Components
Genotype Environment Interaction
Downy Mildews
Genotypes
Quinoa
Región Noroeste
dc.description.none.fl_txt_mv The quinoa growing region of Northwest Argentina (NWA) shows a strong environmental variability, both seasonal and spatial. In consequence, the site-year combinations in which yield trials are established can complicate quinoa genotypic selection through strong genotype-by-environment interactions (G E). The magnitude and nature of the genotype (G) and G E interaction effects for grain yield, its physiological determinants and components, and days-to-flower exhibited by quinoa at NWA were examined in a multi-environment trial involving a reference set of 12 genotypes tested in six environments. The tested genotypes were selected based on their known contrasting relative performance to environments and different geographical origin. They represent three out of the four genotypic groups identified in previous studies. The G E interaction to G component of variance was 3:1, 30:1 and 1.3:1 for grain yield, harvest index and grain number, respectively. Conversely, the G effect was large for biomass, grain weight and days-to-flower. Two-mode pattern analysis of the double-centered matrix for grain yield revealed four genotypic groups with different response pattern across environments. This clustering which separates genotypes from highlands and valleys showed a close correspondence with the genotypic groups previously proposed based on phenotypic and genetic characterization. On the other hand, a strong and repeatable negative association was observed between highland and valley sites, in terms of their G E interaction effects. Phenological variation among genotypes in combination with environmental differences in the incidence of mildew or frost risk gave rise to significant crossover yield responses to site changes and determined specific adaptation to different ecological conditions. All yield components and determinants were involved in the genotype- specific yield responses. The genotypic variability observed for time to flowering determined the form of the G E interactions observed for total above-ground biomass in valley environments, while in the highland sites, harvest index made a significant contribution. On the other hand, grain number was the major component in grain yield determination, while grain weight showed a weak to strongly negative association with grain number across both types of environment. In this sense, the future breeding programs in NWA region should focus on these physiological attributes underlying grain yield variation among genotypes across groups of environments for faster genetic progress.
EEA Abra Pampa
Fil: Curti, Ramiro Nestor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Escuela de Agronomía. Laboratorio de Investigaciones Botánicas; Argentina
Fil: Vega, Abelardo J. de la. DuPont Pioneer; España
Fil: Andrade, Alberto Juan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Abra Pampa; Argentina
Fil: Bramardi, Sergio Jorge. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina. Universidad Nacional del Comahue; Argentina
Fil: Bertero, Hector Daniel. 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 The quinoa growing region of Northwest Argentina (NWA) shows a strong environmental variability, both seasonal and spatial. In consequence, the site-year combinations in which yield trials are established can complicate quinoa genotypic selection through strong genotype-by-environment interactions (G E). The magnitude and nature of the genotype (G) and G E interaction effects for grain yield, its physiological determinants and components, and days-to-flower exhibited by quinoa at NWA were examined in a multi-environment trial involving a reference set of 12 genotypes tested in six environments. The tested genotypes were selected based on their known contrasting relative performance to environments and different geographical origin. They represent three out of the four genotypic groups identified in previous studies. The G E interaction to G component of variance was 3:1, 30:1 and 1.3:1 for grain yield, harvest index and grain number, respectively. Conversely, the G effect was large for biomass, grain weight and days-to-flower. Two-mode pattern analysis of the double-centered matrix for grain yield revealed four genotypic groups with different response pattern across environments. This clustering which separates genotypes from highlands and valleys showed a close correspondence with the genotypic groups previously proposed based on phenotypic and genetic characterization. On the other hand, a strong and repeatable negative association was observed between highland and valley sites, in terms of their G E interaction effects. Phenological variation among genotypes in combination with environmental differences in the incidence of mildew or frost risk gave rise to significant crossover yield responses to site changes and determined specific adaptation to different ecological conditions. All yield components and determinants were involved in the genotype- specific yield responses. The genotypic variability observed for time to flowering determined the form of the G E interactions observed for total above-ground biomass in valley environments, while in the highland sites, harvest index made a significant contribution. On the other hand, grain number was the major component in grain yield determination, while grain weight showed a weak to strongly negative association with grain number across both types of environment. In this sense, the future breeding programs in NWA region should focus on these physiological attributes underlying grain yield variation among genotypes across groups of environments for faster genetic progress.
publishDate 2014
dc.date.none.fl_str_mv 2014
2018-07-18T18:40:01Z
2018-07-18T18:40:01Z
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/20.500.12123/2820
https://www.sciencedirect.com/science/article/pii/S0378429014001567
0378-4290
https://doi.org/10.1016/j.fcr.2014.06.011
url http://hdl.handle.net/20.500.12123/2820
https://www.sciencedirect.com/science/article/pii/S0378429014001567
https://doi.org/10.1016/j.fcr.2014.06.011
identifier_str_mv 0378-4290
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Argentina (nation)
dc.source.none.fl_str_mv Field crops research 166 : 46–57. (2014)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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