Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina

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...

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Detalles Bibliográficos
Autor principal: Resnik, Silvia Liliana
Publicado: 2006
Materias:
Glycine max
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0011183X_v46_n5_p1939_Dardanelli
http://hdl.handle.net/20.500.12110/paper_0011183X_v46_n5_p1939_Dardanelli
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_0011183X_v46_n5_p1939_Dardanelli
record_format dspace
spelling paper:paper_0011183X_v46_n5_p1939_Dardanelli2023-06-08T14:34:45Z Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina Resnik, Silvia Liliana Glycine max 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 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 x E interaction effects for protein and oil + protein were higher than for oil, and enough to create opportunities for handling environment-specific adaptations. © Crop Science Society of America. Fil:Resnik, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2006 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0011183X_v46_n5_p1939_Dardanelli http://hdl.handle.net/20.500.12110/paper_0011183X_v46_n5_p1939_Dardanelli
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Glycine max
spellingShingle Glycine max
Resnik, Silvia Liliana
Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina
topic_facet Glycine max
description 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 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 x E interaction effects for protein and oil + protein were higher than for oil, and enough to create opportunities for handling environment-specific adaptations. © Crop Science Society of America.
author Resnik, Silvia Liliana
author_facet Resnik, Silvia Liliana
author_sort Resnik, Silvia Liliana
title Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina
title_short Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina
title_full Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina
title_fullStr Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina
title_full_unstemmed Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina
title_sort soybean maturity groups, environments, and their interaction define mega-environments for seed composition in argentina
publishDate 2006
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0011183X_v46_n5_p1939_Dardanelli
http://hdl.handle.net/20.500.12110/paper_0011183X_v46_n5_p1939_Dardanelli
work_keys_str_mv AT resniksilvialiliana soybeanmaturitygroupsenvironmentsandtheirinteractiondefinemegaenvironmentsforseedcompositioninargentina
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