LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY

Detalhes bibliográficos
Autor(a) principal: Carvalho, Jhessica Lanna Rodrigues de
Data de Publicação: 2022
Outros Autores: Vieira, Maria de Fátima Brito, Albuquerque, Tayná Mendes de, Costa, Guilherme Alexandre Luz da, Gomes, Regina Lucia Ferreira, Lopes, Ângela Celis de Almeida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Caatinga
Texto Completo: https://periodicos.ufersa.edu.br/caatinga/article/view/11066
Resumo: Based on its nutritional and economic value, the lima bean (Phaseolus lunatus L.) is the second most important species of the genus. It has high genetic diversity and potential for production and is considered an alternative food and income source. The objective of this study was to apply the restricted maximum likelihood/ best linear unbiased prediction (REML/ BLUP) methodology to estimate genetic parameters and predict genotypic values in F3 populations of lima beans. Twelve characteristics were evaluated in five populations with indeterminate growth habits (H39, H72, H53, H90, and H56). Model 83 from the Selegen program was used for analysis. Considering the genetic parameters, the highest values of genetic variance were for plant height and number of pods per plant. Pod thickness and seed width are favorable for breeding programs. Seed width selection gain was significant for populations H56 and H90 at 11.26 mm and 10.50 mm, respectively. As for the length and thickness of seeds, the gains were less significant, with population H53 showing the greatest gain. The REML/ BLUP methodology proved efficient in estimating genetic parameters and predicting gains in lima bean populations. The estimated selection gains indicated that the highest gains were obtained for plant height, the number of pods per plant, pod thickness, seed width, and the number of days to maturity. Populations H53 and H56 stood out for having large and white seeds, thus being potential populations for species improvement.
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spelling LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGYAVALIAÇÕES DE POPULAÇÕES DE FEIJÃO-FAVA VIA METODOLOGIA REML/BLUPPhaseolus lunatus. Parâmetros genéticos. Modelos mistos.Phaseolus lunatus. Genetic parameters. Mixed models.Based on its nutritional and economic value, the lima bean (Phaseolus lunatus L.) is the second most important species of the genus. It has high genetic diversity and potential for production and is considered an alternative food and income source. The objective of this study was to apply the restricted maximum likelihood/ best linear unbiased prediction (REML/ BLUP) methodology to estimate genetic parameters and predict genotypic values in F3 populations of lima beans. Twelve characteristics were evaluated in five populations with indeterminate growth habits (H39, H72, H53, H90, and H56). Model 83 from the Selegen program was used for analysis. Considering the genetic parameters, the highest values of genetic variance were for plant height and number of pods per plant. Pod thickness and seed width are favorable for breeding programs. Seed width selection gain was significant for populations H56 and H90 at 11.26 mm and 10.50 mm, respectively. As for the length and thickness of seeds, the gains were less significant, with population H53 showing the greatest gain. The REML/ BLUP methodology proved efficient in estimating genetic parameters and predicting gains in lima bean populations. The estimated selection gains indicated that the highest gains were obtained for plant height, the number of pods per plant, pod thickness, seed width, and the number of days to maturity. Populations H53 and H56 stood out for having large and white seeds, thus being potential populations for species improvement.O feijão-fava (Phaseolus lunatus L.) é a segunda espécie mais importante do gênero, apresenta diversidade genética e potencial para produção bem como valor nutricional e econômico, sendo considerada alternativa alimentar e de renda. O objetivo do trabalho é aplicar o método REML/BLUP para estimar os parâmetros genéticos e predizer os valores genotípicos em populações F3 de feijão-fava. Foram avaliados doze caracteres em cinco populações de hábito de crescimento indeterminado (H39, H72, H53, H90 e H56). Para as análises foi utilizado o modelo 83 do programa Selegen. Considerando os parâmetros genéticos, os maiores valores de variância genética foram para altura de planta e número de vagens por planta. Espessura de vagem, e largura de sementes, demostraram situação favorável ao programa de melhoramento. Os ganhos de seleção foram maiores e significativos em largura de sementes nas populações 56 e 90 com 11.26 mm e 10.50 mm, respectivamente. Quanto ao comprimento e espessura de sementes os ganhos foram menos significativos e a população 53 foi a que apresentou o maior ganho. A metodologia REML/BLUP mostrou-se eficiente na estimação dos parâmetros genéticos e predição de ganhos em populações de feijão-fava. Os ganhos de seleção estimados indicam que os maiores ganhos foram obtidos para os caracteres altura de plantas, número de vagens por planta, espessura de vagem, largura de semente e número de dias para a maturação.  As populações H53 e H56 se destacaram por apresentar sementes grandes e brancas sendo assim populações promissoras no melhoramento da espécie.Universidade Federal Rural do Semi-Árido2022-09-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/1106610.1590/1983-21252022v35n405rcREVISTA CAATINGA; Vol. 35 No. 4 (2022); 783-790Revista Caatinga; v. 35 n. 4 (2022); 783-7901983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/11066/11043Copyright (c) 2022 Revista Caatingainfo:eu-repo/semantics/openAccessCarvalho, Jhessica Lanna Rodrigues deVieira, Maria de Fátima BritoAlbuquerque, Tayná Mendes de Costa, Guilherme Alexandre Luz daGomes, Regina Lucia FerreiraLopes, Ângela Celis de Almeida2023-06-30T17:51:30Zoai:ojs.periodicos.ufersa.edu.br:article/11066Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2024-04-29T09:47:01.403324Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)true
dc.title.none.fl_str_mv LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
AVALIAÇÕES DE POPULAÇÕES DE FEIJÃO-FAVA VIA METODOLOGIA REML/BLUP
title LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
spellingShingle LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
Carvalho, Jhessica Lanna Rodrigues de
Phaseolus lunatus. Parâmetros genéticos. Modelos mistos.
Phaseolus lunatus. Genetic parameters. Mixed models.
title_short LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
title_full LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
title_fullStr LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
title_full_unstemmed LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
title_sort LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
author Carvalho, Jhessica Lanna Rodrigues de
author_facet Carvalho, Jhessica Lanna Rodrigues de
Vieira, Maria de Fátima Brito
Albuquerque, Tayná Mendes de
Costa, Guilherme Alexandre Luz da
Gomes, Regina Lucia Ferreira
Lopes, Ângela Celis de Almeida
author_role author
author2 Vieira, Maria de Fátima Brito
Albuquerque, Tayná Mendes de
Costa, Guilherme Alexandre Luz da
Gomes, Regina Lucia Ferreira
Lopes, Ângela Celis de Almeida
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Carvalho, Jhessica Lanna Rodrigues de
Vieira, Maria de Fátima Brito
Albuquerque, Tayná Mendes de
Costa, Guilherme Alexandre Luz da
Gomes, Regina Lucia Ferreira
Lopes, Ângela Celis de Almeida
dc.subject.por.fl_str_mv Phaseolus lunatus. Parâmetros genéticos. Modelos mistos.
Phaseolus lunatus. Genetic parameters. Mixed models.
topic Phaseolus lunatus. Parâmetros genéticos. Modelos mistos.
Phaseolus lunatus. Genetic parameters. Mixed models.
description Based on its nutritional and economic value, the lima bean (Phaseolus lunatus L.) is the second most important species of the genus. It has high genetic diversity and potential for production and is considered an alternative food and income source. The objective of this study was to apply the restricted maximum likelihood/ best linear unbiased prediction (REML/ BLUP) methodology to estimate genetic parameters and predict genotypic values in F3 populations of lima beans. Twelve characteristics were evaluated in five populations with indeterminate growth habits (H39, H72, H53, H90, and H56). Model 83 from the Selegen program was used for analysis. Considering the genetic parameters, the highest values of genetic variance were for plant height and number of pods per plant. Pod thickness and seed width are favorable for breeding programs. Seed width selection gain was significant for populations H56 and H90 at 11.26 mm and 10.50 mm, respectively. As for the length and thickness of seeds, the gains were less significant, with population H53 showing the greatest gain. The REML/ BLUP methodology proved efficient in estimating genetic parameters and predicting gains in lima bean populations. The estimated selection gains indicated that the highest gains were obtained for plant height, the number of pods per plant, pod thickness, seed width, and the number of days to maturity. Populations H53 and H56 stood out for having large and white seeds, thus being potential populations for species improvement.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-20
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://periodicos.ufersa.edu.br/caatinga/article/view/11066
10.1590/1983-21252022v35n405rc
url https://periodicos.ufersa.edu.br/caatinga/article/view/11066
identifier_str_mv 10.1590/1983-21252022v35n405rc
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/11066/11043
dc.rights.driver.fl_str_mv Copyright (c) 2022 Revista Caatinga
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Revista Caatinga
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
dc.source.none.fl_str_mv REVISTA CAATINGA; Vol. 35 No. 4 (2022); 783-790
Revista Caatinga; v. 35 n. 4 (2022); 783-790
1983-2125
0100-316X
reponame:Revista Caatinga
instname:Universidade Federal Rural do Semi-Árido (UFERSA)
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instname_str Universidade Federal Rural do Semi-Árido (UFERSA)
instacron_str UFERSA
institution UFERSA
reponame_str Revista Caatinga
collection Revista Caatinga
repository.name.fl_str_mv Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)
repository.mail.fl_str_mv patricio@ufersa.edu.br|| caatinga@ufersa.edu.br
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