Adaptability and stability of early carioca beans by mixed models
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/48288 |
Resumo: | The genotype x environment interaction represents one of the major selection challenges due to the difficulty in identifying effectively superior genotypes. The present study aimed at estimating genetic parameters and selecting genotypes of early Carioca beans by analyzing simultaneous attributes, including yield, adaptability, and stability. In the agricultural year of 2015 and 2016, three trials were conducted, using a randomized block design, with three repetitions each, in the Agreste and Sertao regions of Pernambuco State. The genetic parameters were estimated using the mixed model procedure, and the selection was based on the harmonic mean of the relative performance of genetic values (MHPRVG, abbreviation in Portuguese) method. The environments influenced the phenotypic expression of the bean genotypes during both years, setting a specific adaptation. The mean heritability of the genotypes regarding yield exhibited low magnitude values in the trials of 2015 (5.78%) and 2016 (13.77%), indicating costly conditions for the selection of the improved genotypes. Genotype CNFC 15856 was selected, considering the genetic gain predicted for yield, by the average and specific performance in the three environments, and by the simultaneous attributes of yield, adaptability, and stability. The MHPRVG method enables the optimized selection of genotypes considering yield, stability, and adaptability; therefore, it should be included in the recommended selective criteria for agronomically superior genotypes in commercial plantations. |
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Adaptability and stability of early carioca beans by mixed modelsGenotype x environment interactionPhaseolus vulgaris L.Predicted genotypic valuesREML/BLUP.AgronomyThe genotype x environment interaction represents one of the major selection challenges due to the difficulty in identifying effectively superior genotypes. The present study aimed at estimating genetic parameters and selecting genotypes of early Carioca beans by analyzing simultaneous attributes, including yield, adaptability, and stability. In the agricultural year of 2015 and 2016, three trials were conducted, using a randomized block design, with three repetitions each, in the Agreste and Sertao regions of Pernambuco State. The genetic parameters were estimated using the mixed model procedure, and the selection was based on the harmonic mean of the relative performance of genetic values (MHPRVG, abbreviation in Portuguese) method. The environments influenced the phenotypic expression of the bean genotypes during both years, setting a specific adaptation. The mean heritability of the genotypes regarding yield exhibited low magnitude values in the trials of 2015 (5.78%) and 2016 (13.77%), indicating costly conditions for the selection of the improved genotypes. Genotype CNFC 15856 was selected, considering the genetic gain predicted for yield, by the average and specific performance in the three environments, and by the simultaneous attributes of yield, adaptability, and stability. The MHPRVG method enables the optimized selection of genotypes considering yield, stability, and adaptability; therefore, it should be included in the recommended selective criteria for agronomically superior genotypes in commercial plantations.A interação genótipos x ambientes representa um dos maiores desafios da seleção por dificultar a identificação de genótipos efetivamente superiores. O objetivo desta pesquisa foi estimar os parâmetros genéticos, e pelos atributos simultâneos de produtividade, adaptabilidade e estabilidade selecionar genótipos de feijão carioca precoce. No ano agrícola de 2015 e 2016 foram conduzidos três ensaios, sob o delineamento de blocos casualizados com três repetições, no Agreste e Sertão de Pernambuco. Os parâmetros genéticos foram estimados pelo procedimento de modelos mistos, e a seleção baseou-se no método da média harmônica do desempenho relativo dos valores genéticos. Os ambientes influenciaram na expressão fenotípica dos genótipos de feijão, nos dois anos, configurando adaptação específica. A herdabilidade média dos genótipos para produtividade apresentou valores de baixa magnitude nos ensaios de 2015 (5,78%) e 2016 (13,77%), indicando condições dispendiosas para seleção dos genótipos melhorados. O genótipo CNFC15856 foi selecionado considerando o ganho genético predito para produtividade pelo desempenho médio e específico nos três ambientes, e pelos atributos simultâneos de produtividade, adaptabilidade e estabilidade. O método MHPRVG proporciona seleção otimizada de genótipos quanto à produtividade, à estabilidade e à adaptabilidade e, portanto, deve fazer parte dos critérios seletivos recomendações de genótipos agronomicamente superiores para plantios comerciais.EDUFU2020-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/4828810.14393/BJ-v36n0a2020-48288Bioscience Journal ; Vol. 36 (2020): Supplement1; 173-182Bioscience Journal ; v. 36 (2020): Supplement1; 173-1821981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/48288/31198Brazil; Contemporary Copyright (c) 2020 Thalyson Vasconcelos Lima, Paulo Ricardo dos Santos, Tâmara Rebecca Albuquerque de Oliveira, Maxwel Rodrigues Nascimento, kleyton Danilo da Silva Costa, Antônio Félix da Costa, Katiane da Rosa Gomes da Silva, Thiago Lívio Pessoa Oliveira, Emmanuelle Rodrigues Araújo, José Wilson da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLima, Thalyson VasconcelosSantos, Paulo Ricardo dos Oliveira, Tâmara Rebecca Albuquerque de Nascimento, Maxwel RodriguesCosta, kleyton Danilo da SilvaCosta, Antônio Félix da Silva, Katiane da Rosa Gomes da Oliveira, Thiago Lívio Pessoa Araújo, Emmanuelle RodriguesSilva, José Wilson da 2022-05-26T17:46:50Zoai:ojs.www.seer.ufu.br:article/48288Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-05-26T17:46:50Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Adaptability and stability of early carioca beans by mixed models |
title |
Adaptability and stability of early carioca beans by mixed models |
spellingShingle |
Adaptability and stability of early carioca beans by mixed models Lima, Thalyson Vasconcelos Genotype x environment interaction Phaseolus vulgaris L. Predicted genotypic values REML/BLUP. Agronomy |
title_short |
Adaptability and stability of early carioca beans by mixed models |
title_full |
Adaptability and stability of early carioca beans by mixed models |
title_fullStr |
Adaptability and stability of early carioca beans by mixed models |
title_full_unstemmed |
Adaptability and stability of early carioca beans by mixed models |
title_sort |
Adaptability and stability of early carioca beans by mixed models |
author |
Lima, Thalyson Vasconcelos |
author_facet |
Lima, Thalyson Vasconcelos Santos, Paulo Ricardo dos Oliveira, Tâmara Rebecca Albuquerque de Nascimento, Maxwel Rodrigues Costa, kleyton Danilo da Silva Costa, Antônio Félix da Silva, Katiane da Rosa Gomes da Oliveira, Thiago Lívio Pessoa Araújo, Emmanuelle Rodrigues Silva, José Wilson da |
author_role |
author |
author2 |
Santos, Paulo Ricardo dos Oliveira, Tâmara Rebecca Albuquerque de Nascimento, Maxwel Rodrigues Costa, kleyton Danilo da Silva Costa, Antônio Félix da Silva, Katiane da Rosa Gomes da Oliveira, Thiago Lívio Pessoa Araújo, Emmanuelle Rodrigues Silva, José Wilson da |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Lima, Thalyson Vasconcelos Santos, Paulo Ricardo dos Oliveira, Tâmara Rebecca Albuquerque de Nascimento, Maxwel Rodrigues Costa, kleyton Danilo da Silva Costa, Antônio Félix da Silva, Katiane da Rosa Gomes da Oliveira, Thiago Lívio Pessoa Araújo, Emmanuelle Rodrigues Silva, José Wilson da |
dc.subject.por.fl_str_mv |
Genotype x environment interaction Phaseolus vulgaris L. Predicted genotypic values REML/BLUP. Agronomy |
topic |
Genotype x environment interaction Phaseolus vulgaris L. Predicted genotypic values REML/BLUP. Agronomy |
description |
The genotype x environment interaction represents one of the major selection challenges due to the difficulty in identifying effectively superior genotypes. The present study aimed at estimating genetic parameters and selecting genotypes of early Carioca beans by analyzing simultaneous attributes, including yield, adaptability, and stability. In the agricultural year of 2015 and 2016, three trials were conducted, using a randomized block design, with three repetitions each, in the Agreste and Sertao regions of Pernambuco State. The genetic parameters were estimated using the mixed model procedure, and the selection was based on the harmonic mean of the relative performance of genetic values (MHPRVG, abbreviation in Portuguese) method. The environments influenced the phenotypic expression of the bean genotypes during both years, setting a specific adaptation. The mean heritability of the genotypes regarding yield exhibited low magnitude values in the trials of 2015 (5.78%) and 2016 (13.77%), indicating costly conditions for the selection of the improved genotypes. Genotype CNFC 15856 was selected, considering the genetic gain predicted for yield, by the average and specific performance in the three environments, and by the simultaneous attributes of yield, adaptability, and stability. The MHPRVG method enables the optimized selection of genotypes considering yield, stability, and adaptability; therefore, it should be included in the recommended selective criteria for agronomically superior genotypes in commercial plantations. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/48288 10.14393/BJ-v36n0a2020-48288 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/48288 |
identifier_str_mv |
10.14393/BJ-v36n0a2020-48288 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/48288/31198 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 36 (2020): Supplement1; 173-182 Bioscience Journal ; v. 36 (2020): Supplement1; 173-182 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
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1797069081926434816 |