Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.

The aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil. Sixteen soybean genotypes were evaluated in eight environments during the 2015/2016 and 2016/2017 crop seasons, analyzing the following traits: number of days to maturity, plant height, one hundred seed weight, and grain yield. In this study, the REML/BLUP and the GGE Biplot methods are highly correlated in terms of genotype ranking for selection and recommendation purposes. The genotypes BRASBT13-0528, M8372 IPRO, and BRASBT13-0621 most approximate a hypothetical ideal genotype.

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Bibliographic Details
Main Authors: GONÇALVES, G. de M. C., GOMES, R. L. F., LOPES, A. C. de A., VIEIRA, P. F. de M. J.
Other Authors: Gabriel de Moraes Cunha Gonçalves, UFPI, Teresina.; Regina Lucia Ferreira-Gomes, UFPI, Teresina; Ângela Celis de Almeida Lopes, UFPI, Teresina; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2020-06-30
Subjects:Glycine Max, Interação Genética, Gene interaction, Mixed stands, Multivariate analysis,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1123538
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spelling dig-alice-doc-11235382020-07-01T11:12:50Z Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot. GONÇALVES, G. de M. C. GOMES, R. L. F. LOPES, A. C. de A. VIEIRA, P. F. de M. J. Gabriel de Moraes Cunha Gonçalves, UFPI, Teresina.; Regina Lucia Ferreira-Gomes, UFPI, Teresina; Ângela Celis de Almeida Lopes, UFPI, Teresina; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN. Glycine Max Interação Genética Gene interaction Mixed stands Multivariate analysis The aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil. Sixteen soybean genotypes were evaluated in eight environments during the 2015/2016 and 2016/2017 crop seasons, analyzing the following traits: number of days to maturity, plant height, one hundred seed weight, and grain yield. In this study, the REML/BLUP and the GGE Biplot methods are highly correlated in terms of genotype ranking for selection and recommendation purposes. The genotypes BRASBT13-0528, M8372 IPRO, and BRASBT13-0621 most approximate a hypothetical ideal genotype. 2020-07-01T11:12:43Z 2020-07-01T11:12:43Z 2020-06-30 2020 Artigo de periódico Crop Breeding and Applied Biotechnology, v. 20, n. 2, e282920217, 2020. 1518-7853 http://www.alice.cnptia.embrapa.br/alice/handle/doc/1123538 10.1590/1984-70332020v20n2a33 Ingles en openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language Ingles
English
topic Glycine Max
Interação Genética
Gene interaction
Mixed stands
Multivariate analysis
Glycine Max
Interação Genética
Gene interaction
Mixed stands
Multivariate analysis
spellingShingle Glycine Max
Interação Genética
Gene interaction
Mixed stands
Multivariate analysis
Glycine Max
Interação Genética
Gene interaction
Mixed stands
Multivariate analysis
GONÇALVES, G. de M. C.
GOMES, R. L. F.
LOPES, A. C. de A.
VIEIRA, P. F. de M. J.
Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
description The aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil. Sixteen soybean genotypes were evaluated in eight environments during the 2015/2016 and 2016/2017 crop seasons, analyzing the following traits: number of days to maturity, plant height, one hundred seed weight, and grain yield. In this study, the REML/BLUP and the GGE Biplot methods are highly correlated in terms of genotype ranking for selection and recommendation purposes. The genotypes BRASBT13-0528, M8372 IPRO, and BRASBT13-0621 most approximate a hypothetical ideal genotype.
author2 Gabriel de Moraes Cunha Gonçalves, UFPI, Teresina.; Regina Lucia Ferreira-Gomes, UFPI, Teresina; Ângela Celis de Almeida Lopes, UFPI, Teresina; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN.
author_facet Gabriel de Moraes Cunha Gonçalves, UFPI, Teresina.; Regina Lucia Ferreira-Gomes, UFPI, Teresina; Ângela Celis de Almeida Lopes, UFPI, Teresina; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN.
GONÇALVES, G. de M. C.
GOMES, R. L. F.
LOPES, A. C. de A.
VIEIRA, P. F. de M. J.
format Artigo de periódico
topic_facet Glycine Max
Interação Genética
Gene interaction
Mixed stands
Multivariate analysis
author GONÇALVES, G. de M. C.
GOMES, R. L. F.
LOPES, A. C. de A.
VIEIRA, P. F. de M. J.
author_sort GONÇALVES, G. de M. C.
title Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_short Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_full Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_fullStr Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_full_unstemmed Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_sort adaptability and yield stability of soybean genotypes by reml/blup and gge biplot.
publishDate 2020-06-30
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1123538
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AT lopesacdea adaptabilityandyieldstabilityofsoybeangenotypesbyremlblupandggebiplot
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