GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil

Detalhes bibliográficos
Autor(a) principal: Silva,Kadson Emmanuel Frutuoso
Data de Publicação: 2021
Outros Autores: DoVale,Júlio César, Fritsche-Neto,Roberto, Marques,Jean Newton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000100409
Resumo: ABSTRACT The state of Paraná is among the main producers of soybeans not only in Brazil, but in the World. However, it presents considerable edaphoclimatic variation throughout its area. This is one of the main causes genotype-by-environment interactions, hindering the selective process as well as the recommendation of cultivars in the state. Therefore, the objective of this study was: (i) to identify the environment that make it possible to represent the conditions of the state of Paraná, in order to facilitate the selection and recommendation of cultivars in future breeding programs; (2) to identify soybean inbres lines stable and adapted to state of Paraná. For this, data from trials in the agricultural year of 2013/2014 conducted with 24 soybeansinbred lines in 18 locations. Genotypic differences were observed with a level of accuracy of 0.93. Despite the environmental differences, it was possible to explain approximately 70% of the global variation of the data with the first three main components. Based on the biplots, it was verified that the locality of Record-PR was the most discriminant and representative, whereas Iporã-PR provided lower. In general, inbred lines 5, 9, 23 and 24 showed good adaptability and stability as well as high grain yield.
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spelling GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, BrazilGlycine maxMultivariate analysisInbred lines selectionRecommendation of cultivarsG x E interactionABSTRACT The state of Paraná is among the main producers of soybeans not only in Brazil, but in the World. However, it presents considerable edaphoclimatic variation throughout its area. This is one of the main causes genotype-by-environment interactions, hindering the selective process as well as the recommendation of cultivars in the state. Therefore, the objective of this study was: (i) to identify the environment that make it possible to represent the conditions of the state of Paraná, in order to facilitate the selection and recommendation of cultivars in future breeding programs; (2) to identify soybean inbres lines stable and adapted to state of Paraná. For this, data from trials in the agricultural year of 2013/2014 conducted with 24 soybeansinbred lines in 18 locations. Genotypic differences were observed with a level of accuracy of 0.93. Despite the environmental differences, it was possible to explain approximately 70% of the global variation of the data with the first three main components. Based on the biplots, it was verified that the locality of Record-PR was the most discriminant and representative, whereas Iporã-PR provided lower. In general, inbred lines 5, 9, 23 and 24 showed good adaptability and stability as well as high grain yield.Universidade Federal do Ceará2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000100409Revista Ciência Agronômica v.52 n.1 2021reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20210009info:eu-repo/semantics/openAccessSilva,Kadson Emmanuel FrutuosoDoVale,Júlio CésarFritsche-Neto,RobertoMarques,Jean Newtoneng2021-06-09T00:00:00Zoai:scielo:S1806-66902021000100409Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2021-06-09T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
title GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
spellingShingle GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
Silva,Kadson Emmanuel Frutuoso
Glycine max
Multivariate analysis
Inbred lines selection
Recommendation of cultivars
G x E interaction
title_short GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
title_full GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
title_fullStr GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
title_full_unstemmed GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
title_sort GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
author Silva,Kadson Emmanuel Frutuoso
author_facet Silva,Kadson Emmanuel Frutuoso
DoVale,Júlio César
Fritsche-Neto,Roberto
Marques,Jean Newton
author_role author
author2 DoVale,Júlio César
Fritsche-Neto,Roberto
Marques,Jean Newton
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva,Kadson Emmanuel Frutuoso
DoVale,Júlio César
Fritsche-Neto,Roberto
Marques,Jean Newton
dc.subject.por.fl_str_mv Glycine max
Multivariate analysis
Inbred lines selection
Recommendation of cultivars
G x E interaction
topic Glycine max
Multivariate analysis
Inbred lines selection
Recommendation of cultivars
G x E interaction
description ABSTRACT The state of Paraná is among the main producers of soybeans not only in Brazil, but in the World. However, it presents considerable edaphoclimatic variation throughout its area. This is one of the main causes genotype-by-environment interactions, hindering the selective process as well as the recommendation of cultivars in the state. Therefore, the objective of this study was: (i) to identify the environment that make it possible to represent the conditions of the state of Paraná, in order to facilitate the selection and recommendation of cultivars in future breeding programs; (2) to identify soybean inbres lines stable and adapted to state of Paraná. For this, data from trials in the agricultural year of 2013/2014 conducted with 24 soybeansinbred lines in 18 locations. Genotypic differences were observed with a level of accuracy of 0.93. Despite the environmental differences, it was possible to explain approximately 70% of the global variation of the data with the first three main components. Based on the biplots, it was verified that the locality of Record-PR was the most discriminant and representative, whereas Iporã-PR provided lower. In general, inbred lines 5, 9, 23 and 24 showed good adaptability and stability as well as high grain yield.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000100409
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20210009
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.52 n.1 2021
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
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instname_str Universidade Federal do Ceará (UFC)
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reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
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