Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars

Autores
Casanoves, Fernando; Baldessari, J.; Balzarini, Monica Graciela
Año de publicación
2005
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Multienvironment yield trials (MET) for advanced peanut lines are conducted each year at the EEA-Manfredi Peanut Breeding Pro-gram, the main INTA program for developing new peanut (Arachis hypogaea L.) cultivars for cultivation in the Argentinean crop area. The main objective of this work was the simultaneous analysis of several multienvironment yield tests first to identify superior cultivars for the peanut crop area in Argentina, and second to investigate if different megaenvironments exist. The simultaneous evaluation of several years of MET provides information that allows researchers to better guide breeding strategies. We analyze a 6-yr series of grain yield data from MET, involving 18 genotypes and five test locations using six by-year analyses of complete yield data sets and an Additive Main Effect and Multiplicative Interaction (AMMI) mixed model analysis combining all 6 yr of MET. AMMI models in a mixed model framework were used for exploring genotype?environment (GE) in-teraction since the lists of genotypes annually tested in multienviron-ment trials vary from year to year since new genotypes are introduced every year and others are withdrawn. The results allowed us to identify mf484 and mf505 as superior cultivars and confirm the existence of a unique megaenvironment for identifying high yield cultivars in the peanut crop area of Argentina. The mixed model approach of MET data was successfully implemented to analyze highly unbalanced GE data sets.
Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Puerto Rico
Fil: Baldessari, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Materia
Evaluation of multi-environment trials
Peanut cultivars
Multienvironment yield trials
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:11336/241949
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) CultivarsCasanoves, FernandoBaldessari, J.Balzarini, Monica GracielaEvaluation of multi-environment trialsPeanut cultivarsMultienvironment yield trialshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Multienvironment yield trials (MET) for advanced peanut lines are conducted each year at the EEA-Manfredi Peanut Breeding Pro-gram, the main INTA program for developing new peanut (Arachis hypogaea L.) cultivars for cultivation in the Argentinean crop area. The main objective of this work was the simultaneous analysis of several multienvironment yield tests first to identify superior cultivars for the peanut crop area in Argentina, and second to investigate if different megaenvironments exist. The simultaneous evaluation of several years of MET provides information that allows researchers to better guide breeding strategies. We analyze a 6-yr series of grain yield data from MET, involving 18 genotypes and five test locations using six by-year analyses of complete yield data sets and an Additive Main Effect and Multiplicative Interaction (AMMI) mixed model analysis combining all 6 yr of MET. AMMI models in a mixed model framework were used for exploring genotype?environment (GE) in-teraction since the lists of genotypes annually tested in multienviron-ment trials vary from year to year since new genotypes are introduced every year and others are withdrawn. The results allowed us to identify mf484 and mf505 as superior cultivars and confirm the existence of a unique megaenvironment for identifying high yield cultivars in the peanut crop area of Argentina. The mixed model approach of MET data was successfully implemented to analyze highly unbalanced GE data sets.Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Puerto RicoFil: Baldessari, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaCrop Science Society of America2005-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/241949Casanoves, Fernando; Baldessari, J.; Balzarini, Monica Graciela; Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars; Crop Science Society of America; Crop Science; 45; 1; 1-2005; 18-260011-183XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://acsess.onlinelibrary.wiley.com/doi/full/10.2135/cropsci2005.0018info:eu-repo/semantics/altIdentifier/doi/10.2135/cropsci2005.0018info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:36Zoai:ri.conicet.gov.ar:11336/241949instacron: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 09:40:36.526CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
title Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
spellingShingle Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
Casanoves, Fernando
Evaluation of multi-environment trials
Peanut cultivars
Multienvironment yield trials
title_short Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
title_full Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
title_fullStr Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
title_full_unstemmed Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
title_sort Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
dc.creator.none.fl_str_mv Casanoves, Fernando
Baldessari, J.
Balzarini, Monica Graciela
author Casanoves, Fernando
author_facet Casanoves, Fernando
Baldessari, J.
Balzarini, Monica Graciela
author_role author
author2 Baldessari, J.
Balzarini, Monica Graciela
author2_role author
author
dc.subject.none.fl_str_mv Evaluation of multi-environment trials
Peanut cultivars
Multienvironment yield trials
topic Evaluation of multi-environment trials
Peanut cultivars
Multienvironment yield trials
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Multienvironment yield trials (MET) for advanced peanut lines are conducted each year at the EEA-Manfredi Peanut Breeding Pro-gram, the main INTA program for developing new peanut (Arachis hypogaea L.) cultivars for cultivation in the Argentinean crop area. The main objective of this work was the simultaneous analysis of several multienvironment yield tests first to identify superior cultivars for the peanut crop area in Argentina, and second to investigate if different megaenvironments exist. The simultaneous evaluation of several years of MET provides information that allows researchers to better guide breeding strategies. We analyze a 6-yr series of grain yield data from MET, involving 18 genotypes and five test locations using six by-year analyses of complete yield data sets and an Additive Main Effect and Multiplicative Interaction (AMMI) mixed model analysis combining all 6 yr of MET. AMMI models in a mixed model framework were used for exploring genotype?environment (GE) in-teraction since the lists of genotypes annually tested in multienviron-ment trials vary from year to year since new genotypes are introduced every year and others are withdrawn. The results allowed us to identify mf484 and mf505 as superior cultivars and confirm the existence of a unique megaenvironment for identifying high yield cultivars in the peanut crop area of Argentina. The mixed model approach of MET data was successfully implemented to analyze highly unbalanced GE data sets.
Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Puerto Rico
Fil: Baldessari, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
description Multienvironment yield trials (MET) for advanced peanut lines are conducted each year at the EEA-Manfredi Peanut Breeding Pro-gram, the main INTA program for developing new peanut (Arachis hypogaea L.) cultivars for cultivation in the Argentinean crop area. The main objective of this work was the simultaneous analysis of several multienvironment yield tests first to identify superior cultivars for the peanut crop area in Argentina, and second to investigate if different megaenvironments exist. The simultaneous evaluation of several years of MET provides information that allows researchers to better guide breeding strategies. We analyze a 6-yr series of grain yield data from MET, involving 18 genotypes and five test locations using six by-year analyses of complete yield data sets and an Additive Main Effect and Multiplicative Interaction (AMMI) mixed model analysis combining all 6 yr of MET. AMMI models in a mixed model framework were used for exploring genotype?environment (GE) in-teraction since the lists of genotypes annually tested in multienviron-ment trials vary from year to year since new genotypes are introduced every year and others are withdrawn. The results allowed us to identify mf484 and mf505 as superior cultivars and confirm the existence of a unique megaenvironment for identifying high yield cultivars in the peanut crop area of Argentina. The mixed model approach of MET data was successfully implemented to analyze highly unbalanced GE data sets.
publishDate 2005
dc.date.none.fl_str_mv 2005-01
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/11336/241949
Casanoves, Fernando; Baldessari, J.; Balzarini, Monica Graciela; Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars; Crop Science Society of America; Crop Science; 45; 1; 1-2005; 18-26
0011-183X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/241949
identifier_str_mv Casanoves, Fernando; Baldessari, J.; Balzarini, Monica Graciela; Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars; Crop Science Society of America; Crop Science; 45; 1; 1-2005; 18-26
0011-183X
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://acsess.onlinelibrary.wiley.com/doi/full/10.2135/cropsci2005.0018
info:eu-repo/semantics/altIdentifier/doi/10.2135/cropsci2005.0018
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 Crop Science Society of America
publisher.none.fl_str_mv Crop Science Society of America
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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