GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate

Autores
Donoso-Ñanculao, Gabriel; Paredes, Mario; Becerra, Viviana; Arrepol, Camila; Balzarini, Monica Graciela
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Low temperature is one of the main environmental constraints for rice (Oryza sativa L.) grain production yield. It is known that multi-environment studies play a critical role in the sustainability of rice production across diverse environments. However, there are few studies based on multi-environment studies of rice in temperate climates. The aim was to study the performance of rice plants in cold environments. Four experimental lines and six cultivars were evaluated at three locations during three seasons. The grain yield data were analyzed with ANOVA, mixed models based on the best linear unbiased predictors (BLUPs), and genotype plus Genotype × Environment interaction (GGE) biplot. High genotype contribution (> 25%) was observed in grain yield and the interaction between genotype and locations was not very important. Results also showed that ‘Quila 241319’ was the best experimental line with the highest grain yield (11.3 t ha-1) and grain yield stability across the environments; commercial cultivars were classified as medium grain yield genotypes.
Fil: Donoso-Ñanculao, Gabriel. Instituto de Investigaciones Agropecuarias; Chile
Fil: Paredes, Mario. Instituto de Investigaciones Agropecuarias; Chile
Fil: Becerra, Viviana. Instituto de Investigaciones Agropecuarias; Chile
Fil: Arrepol, Camila. Instituto de Investigaciones Agropecuarias; Chile
Fil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Materia
BLUPS
GGE BIPLOT
TEMPERATE RICE
YIELD STABILITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/74555
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climateDonoso-Ñanculao, GabrielParedes, MarioBecerra, VivianaArrepol, CamilaBalzarini, Monica GracielaBLUPSGGE BIPLOTTEMPERATE RICEYIELD STABILITYhttps://purl.org/becyt/ford/4.5https://purl.org/becyt/ford/4Low temperature is one of the main environmental constraints for rice (Oryza sativa L.) grain production yield. It is known that multi-environment studies play a critical role in the sustainability of rice production across diverse environments. However, there are few studies based on multi-environment studies of rice in temperate climates. The aim was to study the performance of rice plants in cold environments. Four experimental lines and six cultivars were evaluated at three locations during three seasons. The grain yield data were analyzed with ANOVA, mixed models based on the best linear unbiased predictors (BLUPs), and genotype plus Genotype × Environment interaction (GGE) biplot. High genotype contribution (> 25%) was observed in grain yield and the interaction between genotype and locations was not very important. Results also showed that ‘Quila 241319’ was the best experimental line with the highest grain yield (11.3 t ha-1) and grain yield stability across the environments; commercial cultivars were classified as medium grain yield genotypes.Fil: Donoso-Ñanculao, Gabriel. Instituto de Investigaciones Agropecuarias; ChileFil: Paredes, Mario. Instituto de Investigaciones Agropecuarias; ChileFil: Becerra, Viviana. Instituto de Investigaciones Agropecuarias; ChileFil: Arrepol, Camila. Instituto de Investigaciones Agropecuarias; ChileFil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaInstituto de Investigaciones Agropecuarias2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/74555Donoso-Ñanculao, Gabriel; Paredes, Mario; Becerra, Viviana; Arrepol, Camila; Balzarini, Monica Graciela; GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate; Instituto de Investigaciones Agropecuarias; Chilean Journal of Agricultural Research; 76; 2; 6-2016; 152-1570718-5820CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.4067/S0718-58392016000200003info:eu-repo/semantics/altIdentifier/url/https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-58392016000200003&lng=en&nrm=iso&tlng=eninfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:44:12Zoai:ri.conicet.gov.ar:11336/74555instacron: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 10:44:12.431CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
title GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
spellingShingle GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
Donoso-Ñanculao, Gabriel
BLUPS
GGE BIPLOT
TEMPERATE RICE
YIELD STABILITY
title_short GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
title_full GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
title_fullStr GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
title_full_unstemmed GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
title_sort GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
dc.creator.none.fl_str_mv Donoso-Ñanculao, Gabriel
Paredes, Mario
Becerra, Viviana
Arrepol, Camila
Balzarini, Monica Graciela
author Donoso-Ñanculao, Gabriel
author_facet Donoso-Ñanculao, Gabriel
Paredes, Mario
Becerra, Viviana
Arrepol, Camila
Balzarini, Monica Graciela
author_role author
author2 Paredes, Mario
Becerra, Viviana
Arrepol, Camila
Balzarini, Monica Graciela
author2_role author
author
author
author
dc.subject.none.fl_str_mv BLUPS
GGE BIPLOT
TEMPERATE RICE
YIELD STABILITY
topic BLUPS
GGE BIPLOT
TEMPERATE RICE
YIELD STABILITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Low temperature is one of the main environmental constraints for rice (Oryza sativa L.) grain production yield. It is known that multi-environment studies play a critical role in the sustainability of rice production across diverse environments. However, there are few studies based on multi-environment studies of rice in temperate climates. The aim was to study the performance of rice plants in cold environments. Four experimental lines and six cultivars were evaluated at three locations during three seasons. The grain yield data were analyzed with ANOVA, mixed models based on the best linear unbiased predictors (BLUPs), and genotype plus Genotype × Environment interaction (GGE) biplot. High genotype contribution (> 25%) was observed in grain yield and the interaction between genotype and locations was not very important. Results also showed that ‘Quila 241319’ was the best experimental line with the highest grain yield (11.3 t ha-1) and grain yield stability across the environments; commercial cultivars were classified as medium grain yield genotypes.
Fil: Donoso-Ñanculao, Gabriel. Instituto de Investigaciones Agropecuarias; Chile
Fil: Paredes, Mario. Instituto de Investigaciones Agropecuarias; Chile
Fil: Becerra, Viviana. Instituto de Investigaciones Agropecuarias; Chile
Fil: Arrepol, Camila. Instituto de Investigaciones Agropecuarias; Chile
Fil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
description Low temperature is one of the main environmental constraints for rice (Oryza sativa L.) grain production yield. It is known that multi-environment studies play a critical role in the sustainability of rice production across diverse environments. However, there are few studies based on multi-environment studies of rice in temperate climates. The aim was to study the performance of rice plants in cold environments. Four experimental lines and six cultivars were evaluated at three locations during three seasons. The grain yield data were analyzed with ANOVA, mixed models based on the best linear unbiased predictors (BLUPs), and genotype plus Genotype × Environment interaction (GGE) biplot. High genotype contribution (> 25%) was observed in grain yield and the interaction between genotype and locations was not very important. Results also showed that ‘Quila 241319’ was the best experimental line with the highest grain yield (11.3 t ha-1) and grain yield stability across the environments; commercial cultivars were classified as medium grain yield genotypes.
publishDate 2016
dc.date.none.fl_str_mv 2016-06
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/11336/74555
Donoso-Ñanculao, Gabriel; Paredes, Mario; Becerra, Viviana; Arrepol, Camila; Balzarini, Monica Graciela; GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate; Instituto de Investigaciones Agropecuarias; Chilean Journal of Agricultural Research; 76; 2; 6-2016; 152-157
0718-5820
CONICET Digital
CONICET
url http://hdl.handle.net/11336/74555
identifier_str_mv Donoso-Ñanculao, Gabriel; Paredes, Mario; Becerra, Viviana; Arrepol, Camila; Balzarini, Monica Graciela; GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate; Instituto de Investigaciones Agropecuarias; Chilean Journal of Agricultural Research; 76; 2; 6-2016; 152-157
0718-5820
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.4067/S0718-58392016000200003
info:eu-repo/semantics/altIdentifier/url/https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-58392016000200003&lng=en&nrm=iso&tlng=en
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
dc.publisher.none.fl_str_mv Instituto de Investigaciones Agropecuarias
publisher.none.fl_str_mv Instituto de Investigaciones Agropecuarias
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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score 13.070432

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