Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi...
- Autores
- Bertero, Hector Daniel; De La Vega, A. J.; Correa Tedesco, Guillermo Oscar; Jacobsen, S. E.; Mujica, A.
- Año de publicación
- 2004
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The size and nature of the genotype (G) and genotype×environment (G×E) interaction effects for grain yield, its physiological determinants, and grain size exhibited by the Andean grain crop quinoa at low latitudes were examined in a multi-environment trial involving a diverse set of 24 cultivars tested in 14 sites under irrigation across three continents. These environments included a wide latitudinal (from 21°30′N to 16°21′S), altitudinal (from 5 to 3841 m a.s.l.) and temperature (average daily temperatures during crop cycle varied from 9 to 22.1°C) range; while average daily photoperiods exhibited a smaller variation, from 11.2 to 12.8 h. The G×E interaction to G component of variance ratio was 4:1 and 1:1 for grain yield and grain size, respectively. Two-mode pattern analysis of the environment-standardised matrix of grain yield revealed four genotypic groups of different response pattern across environments. This clustering, which separates cultivars from mid-altitude valleys of the northern Andes, northern altiplano, southern altiplano and sea level, showed a close correspondence with adaptation groups previously proposed. The results of the genotype clustering can be used to choose genotypes of contrasting relative performance across environments for further studies aimed at assessing the opportunity to select for broad or specific adaptation. Classification of sites for grain yield grossly discriminated between cold highland sites, tropical valleys of moderate altitude, and warmer, low altitude sites. As expected from the size of the G×E interaction component, no single genotype group showed consistently superior grain yield across all environment groups. The G and G×E interaction effects observed for the duration of the crop cycle had a major influence on the average cultivar performance and on the form of G×E interactions observed for total above-ground biomass and grain yield. Although different environment types showed contrasting effects on the physiological attributes underlying grain yield variation among cultivars, it was observed that good average performance and broad adaptation could come from the combination of medium-late maturity and high harvest index. Correlation analysis revealed no association between the average cultivar responses for grain yield and grain size. Three-mode pattern analysis have also shown no association between the G×E interaction effects for both traits. Both observations indicate that simultaneous progress for grain yield and grain size can be expected from selection.
Fil: Bertero, Hector Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: De La Vega, A. J.. Advanta Semillas S.A.I.C.; Argentina
Fil: Correa Tedesco, Guillermo Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Jacobsen, S. E.. Royal Veterinary and Agricultural University; Dinamarca
Fil: Mujica, A.. Universidad Nacional del Altiplano; Perú - Materia
-
CHENOPODIUM QUINOA
GENOTYPE×ENVIRONMENT INTERACTION
GRAIN SIZE
GRAIN YIELD DETERMINANTS
PATTERN ANALYSIS
QUINOA
THREE-MODE PRINCIPAL COMPONENT ANALYSIS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/150694
Ver los metadatos del registro completo
id |
CONICETDig_4b4f1a59dcdff8b48332a22949293ba4 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/150694 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trialsBertero, Hector DanielDe La Vega, A. J.Correa Tedesco, Guillermo OscarJacobsen, S. E.Mujica, A.CHENOPODIUM QUINOAGENOTYPE×ENVIRONMENT INTERACTIONGRAIN SIZEGRAIN YIELD DETERMINANTSPATTERN ANALYSISQUINOATHREE-MODE PRINCIPAL COMPONENT ANALYSIShttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4The size and nature of the genotype (G) and genotype×environment (G×E) interaction effects for grain yield, its physiological determinants, and grain size exhibited by the Andean grain crop quinoa at low latitudes were examined in a multi-environment trial involving a diverse set of 24 cultivars tested in 14 sites under irrigation across three continents. These environments included a wide latitudinal (from 21°30′N to 16°21′S), altitudinal (from 5 to 3841 m a.s.l.) and temperature (average daily temperatures during crop cycle varied from 9 to 22.1°C) range; while average daily photoperiods exhibited a smaller variation, from 11.2 to 12.8 h. The G×E interaction to G component of variance ratio was 4:1 and 1:1 for grain yield and grain size, respectively. Two-mode pattern analysis of the environment-standardised matrix of grain yield revealed four genotypic groups of different response pattern across environments. This clustering, which separates cultivars from mid-altitude valleys of the northern Andes, northern altiplano, southern altiplano and sea level, showed a close correspondence with adaptation groups previously proposed. The results of the genotype clustering can be used to choose genotypes of contrasting relative performance across environments for further studies aimed at assessing the opportunity to select for broad or specific adaptation. Classification of sites for grain yield grossly discriminated between cold highland sites, tropical valleys of moderate altitude, and warmer, low altitude sites. As expected from the size of the G×E interaction component, no single genotype group showed consistently superior grain yield across all environment groups. The G and G×E interaction effects observed for the duration of the crop cycle had a major influence on the average cultivar performance and on the form of G×E interactions observed for total above-ground biomass and grain yield. Although different environment types showed contrasting effects on the physiological attributes underlying grain yield variation among cultivars, it was observed that good average performance and broad adaptation could come from the combination of medium-late maturity and high harvest index. Correlation analysis revealed no association between the average cultivar responses for grain yield and grain size. Three-mode pattern analysis have also shown no association between the G×E interaction effects for both traits. Both observations indicate that simultaneous progress for grain yield and grain size can be expected from selection.Fil: Bertero, Hector Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaFil: De La Vega, A. J.. Advanta Semillas S.A.I.C.; ArgentinaFil: Correa Tedesco, Guillermo Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaFil: Jacobsen, S. E.. Royal Veterinary and Agricultural University; DinamarcaFil: Mujica, A.. Universidad Nacional del Altiplano; PerúElsevier Science2004-10info: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/11336/150694Bertero, Hector Daniel; De La Vega, A. J.; Correa Tedesco, Guillermo Oscar; Jacobsen, S. E.; Mujica, A.; Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials; Elsevier Science; Field Crops Research; 89; 2-3; 10-2004; 299-3180378-42901872-6852CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378429004000619info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fcr.2004.02.006info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:35:52Zoai:ri.conicet.gov.ar:11336/150694instacron: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:34982025-10-15 15:35:53.09CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials |
title |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials |
spellingShingle |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials Bertero, Hector Daniel CHENOPODIUM QUINOA GENOTYPE×ENVIRONMENT INTERACTION GRAIN SIZE GRAIN YIELD DETERMINANTS PATTERN ANALYSIS QUINOA THREE-MODE PRINCIPAL COMPONENT ANALYSIS |
title_short |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials |
title_full |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials |
title_fullStr |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials |
title_full_unstemmed |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials |
title_sort |
Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials |
dc.creator.none.fl_str_mv |
Bertero, Hector Daniel De La Vega, A. J. Correa Tedesco, Guillermo Oscar Jacobsen, S. E. Mujica, A. |
author |
Bertero, Hector Daniel |
author_facet |
Bertero, Hector Daniel De La Vega, A. J. Correa Tedesco, Guillermo Oscar Jacobsen, S. E. Mujica, A. |
author_role |
author |
author2 |
De La Vega, A. J. Correa Tedesco, Guillermo Oscar Jacobsen, S. E. Mujica, A. |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
CHENOPODIUM QUINOA GENOTYPE×ENVIRONMENT INTERACTION GRAIN SIZE GRAIN YIELD DETERMINANTS PATTERN ANALYSIS QUINOA THREE-MODE PRINCIPAL COMPONENT ANALYSIS |
topic |
CHENOPODIUM QUINOA GENOTYPE×ENVIRONMENT INTERACTION GRAIN SIZE GRAIN YIELD DETERMINANTS PATTERN ANALYSIS QUINOA THREE-MODE PRINCIPAL COMPONENT ANALYSIS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.1 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
The size and nature of the genotype (G) and genotype×environment (G×E) interaction effects for grain yield, its physiological determinants, and grain size exhibited by the Andean grain crop quinoa at low latitudes were examined in a multi-environment trial involving a diverse set of 24 cultivars tested in 14 sites under irrigation across three continents. These environments included a wide latitudinal (from 21°30′N to 16°21′S), altitudinal (from 5 to 3841 m a.s.l.) and temperature (average daily temperatures during crop cycle varied from 9 to 22.1°C) range; while average daily photoperiods exhibited a smaller variation, from 11.2 to 12.8 h. The G×E interaction to G component of variance ratio was 4:1 and 1:1 for grain yield and grain size, respectively. Two-mode pattern analysis of the environment-standardised matrix of grain yield revealed four genotypic groups of different response pattern across environments. This clustering, which separates cultivars from mid-altitude valleys of the northern Andes, northern altiplano, southern altiplano and sea level, showed a close correspondence with adaptation groups previously proposed. The results of the genotype clustering can be used to choose genotypes of contrasting relative performance across environments for further studies aimed at assessing the opportunity to select for broad or specific adaptation. Classification of sites for grain yield grossly discriminated between cold highland sites, tropical valleys of moderate altitude, and warmer, low altitude sites. As expected from the size of the G×E interaction component, no single genotype group showed consistently superior grain yield across all environment groups. The G and G×E interaction effects observed for the duration of the crop cycle had a major influence on the average cultivar performance and on the form of G×E interactions observed for total above-ground biomass and grain yield. Although different environment types showed contrasting effects on the physiological attributes underlying grain yield variation among cultivars, it was observed that good average performance and broad adaptation could come from the combination of medium-late maturity and high harvest index. Correlation analysis revealed no association between the average cultivar responses for grain yield and grain size. Three-mode pattern analysis have also shown no association between the G×E interaction effects for both traits. Both observations indicate that simultaneous progress for grain yield and grain size can be expected from selection. Fil: Bertero, Hector Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina Fil: De La Vega, A. J.. Advanta Semillas S.A.I.C.; Argentina Fil: Correa Tedesco, Guillermo Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina Fil: Jacobsen, S. E.. Royal Veterinary and Agricultural University; Dinamarca Fil: Mujica, A.. Universidad Nacional del Altiplano; Perú |
description |
The size and nature of the genotype (G) and genotype×environment (G×E) interaction effects for grain yield, its physiological determinants, and grain size exhibited by the Andean grain crop quinoa at low latitudes were examined in a multi-environment trial involving a diverse set of 24 cultivars tested in 14 sites under irrigation across three continents. These environments included a wide latitudinal (from 21°30′N to 16°21′S), altitudinal (from 5 to 3841 m a.s.l.) and temperature (average daily temperatures during crop cycle varied from 9 to 22.1°C) range; while average daily photoperiods exhibited a smaller variation, from 11.2 to 12.8 h. The G×E interaction to G component of variance ratio was 4:1 and 1:1 for grain yield and grain size, respectively. Two-mode pattern analysis of the environment-standardised matrix of grain yield revealed four genotypic groups of different response pattern across environments. This clustering, which separates cultivars from mid-altitude valleys of the northern Andes, northern altiplano, southern altiplano and sea level, showed a close correspondence with adaptation groups previously proposed. The results of the genotype clustering can be used to choose genotypes of contrasting relative performance across environments for further studies aimed at assessing the opportunity to select for broad or specific adaptation. Classification of sites for grain yield grossly discriminated between cold highland sites, tropical valleys of moderate altitude, and warmer, low altitude sites. As expected from the size of the G×E interaction component, no single genotype group showed consistently superior grain yield across all environment groups. The G and G×E interaction effects observed for the duration of the crop cycle had a major influence on the average cultivar performance and on the form of G×E interactions observed for total above-ground biomass and grain yield. Although different environment types showed contrasting effects on the physiological attributes underlying grain yield variation among cultivars, it was observed that good average performance and broad adaptation could come from the combination of medium-late maturity and high harvest index. Correlation analysis revealed no association between the average cultivar responses for grain yield and grain size. Three-mode pattern analysis have also shown no association between the G×E interaction effects for both traits. Both observations indicate that simultaneous progress for grain yield and grain size can be expected from selection. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004-10 |
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/11336/150694 Bertero, Hector Daniel; De La Vega, A. J.; Correa Tedesco, Guillermo Oscar; Jacobsen, S. E.; Mujica, A.; Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials; Elsevier Science; Field Crops Research; 89; 2-3; 10-2004; 299-318 0378-4290 1872-6852 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/150694 |
identifier_str_mv |
Bertero, Hector Daniel; De La Vega, A. J.; Correa Tedesco, Guillermo Oscar; Jacobsen, S. E.; Mujica, A.; Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials; Elsevier Science; Field Crops Research; 89; 2-3; 10-2004; 299-318 0378-4290 1872-6852 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/S0378429004000619 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fcr.2004.02.006 |
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 |
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_ |
1846083483723628544 |
score |
13.22299 |