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Resumen
Argentina is the largest soybean [Glycine max (L.) Merrill] meal and oil exporter in the world, with crops covering a 23° to 39° S latitude range, allowing the presence of genotypes from different maturity groups (MG). Multi-environment yield trials (MET) for commercial cultivars are conducted each year across the crop area. The aim of this paper was to evaluate the consistency of MG effects and its interaction with environments (E), first to investigate [ver mas...]
dc.contributor.authorDardanelli, Julio Luis
dc.contributor.authorBalzarini, Mónica
dc.contributor.authorMartinez, Maria Jose
dc.contributor.authorCuniberti, Martha Beatriz
dc.contributor.authorResnik, Silvia
dc.contributor.authorRamunda, Silvina F.
dc.contributor.authorHerrero, Rosana Mercedes
dc.contributor.authorBaigorri, Hector Eloy
dc.date.accessioned2023-04-13T11:52:50Z
dc.date.available2023-04-13T11:52:50Z
dc.date.issued2006-10
dc.identifier.issn1435-0653
dc.identifier.otherhttps://doi.org/10.2135/cropsci2005.12-0480
dc.identifier.urihttp://hdl.handle.net/20.500.12123/14465
dc.identifier.urihttps://acsess.onlinelibrary.wiley.com/doi/10.2135/cropsci2005.12-0480
dc.description.abstractArgentina is the largest soybean [Glycine max (L.) Merrill] meal and oil exporter in the world, with crops covering a 23° to 39° S latitude range, allowing the presence of genotypes from different maturity groups (MG). Multi-environment yield trials (MET) for commercial cultivars are conducted each year across the crop area. The aim of this paper was to evaluate the consistency of MG effects and its interaction with environments (E), first to investigate if different mega-environments (ME) for oil, protein, and oil + protein exist in Argentina, and second to identify superior MG regarding these traits. We analyzed a 3-yr series of oil and protein data from MET involving six MG and more than 14 E per year. Statistical analysis was based on ANOVA and graphical displays from E-centered biplots to explore MG-related effects and to identify ME. No ME were identified for oil content because of MG II, III, and IV showed higher content than other groups in every E. Two or three ME (depending on the growing season) were identified for protein and oil + protein contents; in one of them MG VI cultivars had the highest value of these compounds whereas in the other set of E, higher yielding cultivars were from MG II–III. The oil variations among E depended mainly on MG effects suggesting broad adaptations of short MG, whereas MG × E interaction effects for protein and oil + protein were higher than for oil, and enough to create opportunities for handling environment-specific adaptations.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWiley
dc.relationinfo:eu-repograntAgreement/INTA/PNHFA-1106075/AR./Desarrollo de bases tecnológicas para el aumento de la competitividad con sostenibilidad de las Legumbres en Argentina.es_AR
dc.relationinfo:eu-repograntAgreement/INTA/CORDO-1262204/AR./Gestión de la innovación en el territorio del arco noroeste de la provincia de Córdoba.es_AR
dc.relationinfo:eu-repograntAgreement/INTA/CORDO-1262206/AR./PReT - Zona III centro Este - Centro Regional Córdoba.es_AR
dc.relationinfo:eu-repograntAgreement/INTA/PNAIyAV-1130043/AR./Estrategias para la diferenciación de alimentos y el desarrollo de nuevos productos alimentarios.es_AR
dc.relationinfo:eu-repograntAgreement/INTA/PNAIyAV-1130042/AR./Herramientas y sistemas para la gestión de la calidad integral.es_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceCrop Science 46 (5) : 1939-1947 (2006)es_AR
dc.subjectTortas Oleaginosases_AR
dc.subjectGlycine maxes_AR
dc.subjectMaduración de la Semillaes_AR
dc.subjectOilseed Cakeseng
dc.subjectSoja
dc.subjectSoybeanseng
dc.subjectSeed Maturationeng
dc.subjectMedio Ambiente
dc.subjectEnvironmenteng
dc.subjectArgentina
dc.titleSoybean Maturity Groups, Environments, and Their Interaction Define Mega-environments for Seed Composition in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Manfredies_AR
dc.description.filFil: Dardanelli, Julio L. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentinaes_AR
dc.description.filFil: Balzarini, Mónica G. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. UFYMA CONICET. Córdoba: Argentina.es_AR
dc.description.filFil: Martínez, María José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentinaes_AR
dc.description.filFil: Cuniberti, Martha. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentinaes_AR
dc.description.filFil: Resnik, Silvia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Provinca de Buenos Aires. Comisión de Investigaciones Científicas; Argentinaes_AR
dc.description.filFil: Ramunda, Silvina F. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentinaes_AR
dc.description.filFil: Herrero, Rosana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentinaes_AR
dc.description.filFil: Baigorri, Héctor. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentinaes_AR
dc.subtypecientifico


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