Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil

Detalhes bibliográficos
Autor(a) principal: Silva,Ruan dos S.
Data de Publicação: 2020
Outros Autores: Farias,Francisco J. C., Teodoro,Paulo E., Cavalcanti,José J. V., Carvalho,Luiz P. de, Queiroz,Damião R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020001200800
Resumo: ABSTRACT Cotton (Gossypium hirsutum L.) crop areas in the Northeast region of Brazil present high edaphoclimatic variability, which contributes to a strong genotype versus environment interaction (G × E). This situation requires the use of adaptability and stability methodologies to study G × E interaction before the selection and recommendation of cultivars. Among these methodologies, the genotype + G × E (GGE) biplot analysis has been currently used and highly recommended. Thus, the objective of this study was to evaluate the G × E of cotton genotypes through GGE biplot analysis, focusing on the identification of adapted and stable genotypes for the Semiarid region of the Northeast of Brazil. Four crop value and use tests were conducted in the municipalities of Apodi, state of Rio Grande do Norte, and Barbalha, state of Ceará, Brazil, in 2016 and 2017. A randomized block experimental design, with 17 treatments and four repetitions, was used. The treatments consisted of 17 cotton genotypes. The variables evaluated were: cotton seed and fiber yields. According to the analysis, the genotypes CNPA BA 2011-4436, CNPA BA 2011-1197, and CNPA BA 2010-1174 were stable and presented high adaptability to the evaluated region.
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spelling Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of BrazilGossypium hirsutum L.breedinggenotype versus environment interactionGGE biplot analysisyieldABSTRACT Cotton (Gossypium hirsutum L.) crop areas in the Northeast region of Brazil present high edaphoclimatic variability, which contributes to a strong genotype versus environment interaction (G × E). This situation requires the use of adaptability and stability methodologies to study G × E interaction before the selection and recommendation of cultivars. Among these methodologies, the genotype + G × E (GGE) biplot analysis has been currently used and highly recommended. Thus, the objective of this study was to evaluate the G × E of cotton genotypes through GGE biplot analysis, focusing on the identification of adapted and stable genotypes for the Semiarid region of the Northeast of Brazil. Four crop value and use tests were conducted in the municipalities of Apodi, state of Rio Grande do Norte, and Barbalha, state of Ceará, Brazil, in 2016 and 2017. A randomized block experimental design, with 17 treatments and four repetitions, was used. The treatments consisted of 17 cotton genotypes. The variables evaluated were: cotton seed and fiber yields. According to the analysis, the genotypes CNPA BA 2011-4436, CNPA BA 2011-1197, and CNPA BA 2010-1174 were stable and presented high adaptability to the evaluated region.Departamento de Engenharia Agrícola - UFCG2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020001200800Revista Brasileira de Engenharia Agrícola e Ambiental v.24 n.12 2020reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v24n12p800-805info:eu-repo/semantics/openAccessSilva,Ruan dos S.Farias,Francisco J. C.Teodoro,Paulo E.Cavalcanti,José J. V.Carvalho,Luiz P. deQueiroz,Damião R.eng2020-11-11T00:00:00Zoai:scielo:S1415-43662020001200800Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2020-11-11T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil
title Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil
spellingShingle Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil
Silva,Ruan dos S.
Gossypium hirsutum L.
breeding
genotype versus environment interaction
GGE biplot analysis
yield
title_short Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil
title_full Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil
title_fullStr Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil
title_full_unstemmed Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil
title_sort Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil
author Silva,Ruan dos S.
author_facet Silva,Ruan dos S.
Farias,Francisco J. C.
Teodoro,Paulo E.
Cavalcanti,José J. V.
Carvalho,Luiz P. de
Queiroz,Damião R.
author_role author
author2 Farias,Francisco J. C.
Teodoro,Paulo E.
Cavalcanti,José J. V.
Carvalho,Luiz P. de
Queiroz,Damião R.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva,Ruan dos S.
Farias,Francisco J. C.
Teodoro,Paulo E.
Cavalcanti,José J. V.
Carvalho,Luiz P. de
Queiroz,Damião R.
dc.subject.por.fl_str_mv Gossypium hirsutum L.
breeding
genotype versus environment interaction
GGE biplot analysis
yield
topic Gossypium hirsutum L.
breeding
genotype versus environment interaction
GGE biplot analysis
yield
description ABSTRACT Cotton (Gossypium hirsutum L.) crop areas in the Northeast region of Brazil present high edaphoclimatic variability, which contributes to a strong genotype versus environment interaction (G × E). This situation requires the use of adaptability and stability methodologies to study G × E interaction before the selection and recommendation of cultivars. Among these methodologies, the genotype + G × E (GGE) biplot analysis has been currently used and highly recommended. Thus, the objective of this study was to evaluate the G × E of cotton genotypes through GGE biplot analysis, focusing on the identification of adapted and stable genotypes for the Semiarid region of the Northeast of Brazil. Four crop value and use tests were conducted in the municipalities of Apodi, state of Rio Grande do Norte, and Barbalha, state of Ceará, Brazil, in 2016 and 2017. A randomized block experimental design, with 17 treatments and four repetitions, was used. The treatments consisted of 17 cotton genotypes. The variables evaluated were: cotton seed and fiber yields. According to the analysis, the genotypes CNPA BA 2011-4436, CNPA BA 2011-1197, and CNPA BA 2010-1174 were stable and presented high adaptability to the evaluated region.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020001200800
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v24n12p800-805
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dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.24 n.12 2020
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instname_str Universidade Federal de Campina Grande (UFCG)
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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