Mostrar el registro sencillo del ítem
dc.contributor.author
Casanoves, Fernando
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Baldessari, J.
dc.contributor.author
Balzarini, Monica Graciela
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.date.available
2024-08-07T11:08:24Z
dc.date.issued
2005-01
dc.identifier.citation
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
dc.identifier.issn
0011-183X
dc.identifier.uri
http://hdl.handle.net/11336/241949
dc.description.abstract
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tested in multienviron-ment trials vary from year to year since new genotypes are introduced every year and others are withdrawn.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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Crop Science Society of America
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Evaluation of multi-environment trials
dc.subject
Peanut cultivars
dc.subject
Multienvironment yield trials
dc.subject.classification
Otras Ciencias Biológicas
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
Ciencias Biológicas
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.title
Evaluation of Multi-environment Trials of Peanut (Arachis hypogaea L.) Cultivars
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-08-06T11:13:38Z
dc.journal.volume
45
dc.journal.number
1
dc.journal.pagination
18-26
dc.journal.pais
Estados Unidos
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.journal.ciudad
Baltimore
dc.description.fil
Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Puerto Rico
dc.description.fil
Fil: Baldessari, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
dc.description.fil
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
dc.journal.title
Crop Science
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://acsess.onlinelibrary.wiley.com/doi/full/10.2135/cropsci2005.0018
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.2135/cropsci2005.0018
Archivos asociados