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Provedor de dados:  Ciência Rural
País:  Brazil
Título:  Assessing the genotypic performance of carioca beans through mixed models
Autores:  Souza,Yure Pequeno de
Santos,Paulo Ricardo dos
Nascimento,Maxwel Rodrigues
Costa,Kleyton Danilo da Silva
Lima,Thalyson Vasconcelos
Oliveira,Tâmara Rebecca Albuquerque de
Costa,Antônio Félix da
Pereira,Helton Santos
Silva,José Wilson da
Data:  2018-01-01
Ano:  2018
Palavras-chave:  Phaseolus vulgaris L.
Adaptability
Productivity
REML/BLUP
Stability.
Resumo:  ABSTRACT: Using genotypes adapted to different regions is one of the main ways to increase Brazilian bean yield. The aim of the present study was to assess the genotypic performance of Carioca beans through mixed models. Fourteen Carioca bean genotypes were assessed in four locations in Pernambuco State (Arcoverde, Caruaru, Belém de São Francisco and São João counties) in 2015. The experiments followed a completely randomized block design, with three repetitions. Genetic parameters were estimated according to the REML/BLUP methodology, whereas genotype selection was based on the harmonic mean of relative performance of genetic values method (MHPRVG). The mean genotype heritability had moderate magnitude, high selective accuracy, besides allowing selection of agronomically superior individuals. Genotypes ‘BRS Notável’, CNFC 15480 and ‘IPR 139’ showed good adaptability and grain yield stability. There was agreement among the statistics μ ̂ + g ̂…, stability (MHVG), adaptability (PRVG), and stability and adaptability of genetic values (MHPRVG) in the discrimination of the most productive genotypes, which presented high adaptability and stability. This outcome indicated that these genotypes can be part of the selection criteria regularly used in bean breeding programs.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000700201
Editor:  Universidade Federal de Santa Maria
Relação:  10.1590/0103-8478cr20170761
Formato:  text/html
Fonte:  Ciência Rural v.48 n.7 2018
Direitos:  info:eu-repo/semantics/openAccess
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