Selection indexes and economic weights applied to runner-peanut breeding

Detalhes bibliográficos
Autor(a) principal: Ramos,Jean P. C.
Data de Publicação: 2022
Outros Autores: Cavalcanti,José J. V., Freire,Rosa M. M., Silva,Carliane R. C. da, Silva,Maria de F. C. da, Santos,Roseane C. dos
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=S1415-43662022000500327
Resumo: ABSTRACT Runner peanuts are known for their high pod yields, but are late to flowering and pod maturation, and the optimal combination of these traits with pod yield is widely desired for peanut improvement. Selection indexes are useful tools for crop breeding. In this study, seven selection indexes combined with economic weights were used in a peanut population to estimate the superior and balanced genetic gains. Eleven runner genotypes were grown in three environments in the Northeast region of Brazil under a randomized block design with five replicates. The following indices were used: Smith and Hazel, Pesek and Baker, Williams, Elston, Subandi, Cruz, and Mulamba & Mock, in combination with the following economic weights: weight 1 for all evaluated traits, primary and secondary traits, genetic variation coefficient, genetic standard deviation, and b coefficient, obtained via multivariate regression. Although the population is genetically uniform, statistical differences were found, indicating sufficient genetic variability to generate selection progress. The combinations involving earliness traits were not satisfactory for production gains. The index based on the Mulamba & Mock rankings combined with weight 1 for all traits proved the optimal combination, as indicated by the most balanced gains. The cultivars Florunner, Cavalo, LGoPE-06, and LViPE-06 are promising germplasm for ensuring satisfactory selection gains based on production means and high heritability of the most evaluated traits.
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spelling Selection indexes and economic weights applied to runner-peanut breedingArachis hypogaea L.genetic gainselection methodsABSTRACT Runner peanuts are known for their high pod yields, but are late to flowering and pod maturation, and the optimal combination of these traits with pod yield is widely desired for peanut improvement. Selection indexes are useful tools for crop breeding. In this study, seven selection indexes combined with economic weights were used in a peanut population to estimate the superior and balanced genetic gains. Eleven runner genotypes were grown in three environments in the Northeast region of Brazil under a randomized block design with five replicates. The following indices were used: Smith and Hazel, Pesek and Baker, Williams, Elston, Subandi, Cruz, and Mulamba & Mock, in combination with the following economic weights: weight 1 for all evaluated traits, primary and secondary traits, genetic variation coefficient, genetic standard deviation, and b coefficient, obtained via multivariate regression. Although the population is genetically uniform, statistical differences were found, indicating sufficient genetic variability to generate selection progress. The combinations involving earliness traits were not satisfactory for production gains. The index based on the Mulamba & Mock rankings combined with weight 1 for all traits proved the optimal combination, as indicated by the most balanced gains. The cultivars Florunner, Cavalo, LGoPE-06, and LViPE-06 are promising germplasm for ensuring satisfactory selection gains based on production means and high heritability of the most evaluated traits.Departamento de Engenharia Agrícola - UFCG2022-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662022000500327Revista Brasileira de Engenharia Agrícola e Ambiental v.26 n.5 2022reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v26n5p327-334info:eu-repo/semantics/openAccessRamos,Jean P. C.Cavalcanti,José J. V.Freire,Rosa M. M.Silva,Carliane R. C. daSilva,Maria de F. C. daSantos,Roseane C. doseng2022-02-18T00:00:00Zoai:scielo:S1415-43662022000500327Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2022-02-18T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Selection indexes and economic weights applied to runner-peanut breeding
title Selection indexes and economic weights applied to runner-peanut breeding
spellingShingle Selection indexes and economic weights applied to runner-peanut breeding
Ramos,Jean P. C.
Arachis hypogaea L.
genetic gain
selection methods
title_short Selection indexes and economic weights applied to runner-peanut breeding
title_full Selection indexes and economic weights applied to runner-peanut breeding
title_fullStr Selection indexes and economic weights applied to runner-peanut breeding
title_full_unstemmed Selection indexes and economic weights applied to runner-peanut breeding
title_sort Selection indexes and economic weights applied to runner-peanut breeding
author Ramos,Jean P. C.
author_facet Ramos,Jean P. C.
Cavalcanti,José J. V.
Freire,Rosa M. M.
Silva,Carliane R. C. da
Silva,Maria de F. C. da
Santos,Roseane C. dos
author_role author
author2 Cavalcanti,José J. V.
Freire,Rosa M. M.
Silva,Carliane R. C. da
Silva,Maria de F. C. da
Santos,Roseane C. dos
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Ramos,Jean P. C.
Cavalcanti,José J. V.
Freire,Rosa M. M.
Silva,Carliane R. C. da
Silva,Maria de F. C. da
Santos,Roseane C. dos
dc.subject.por.fl_str_mv Arachis hypogaea L.
genetic gain
selection methods
topic Arachis hypogaea L.
genetic gain
selection methods
description ABSTRACT Runner peanuts are known for their high pod yields, but are late to flowering and pod maturation, and the optimal combination of these traits with pod yield is widely desired for peanut improvement. Selection indexes are useful tools for crop breeding. In this study, seven selection indexes combined with economic weights were used in a peanut population to estimate the superior and balanced genetic gains. Eleven runner genotypes were grown in three environments in the Northeast region of Brazil under a randomized block design with five replicates. The following indices were used: Smith and Hazel, Pesek and Baker, Williams, Elston, Subandi, Cruz, and Mulamba & Mock, in combination with the following economic weights: weight 1 for all evaluated traits, primary and secondary traits, genetic variation coefficient, genetic standard deviation, and b coefficient, obtained via multivariate regression. Although the population is genetically uniform, statistical differences were found, indicating sufficient genetic variability to generate selection progress. The combinations involving earliness traits were not satisfactory for production gains. The index based on the Mulamba & Mock rankings combined with weight 1 for all traits proved the optimal combination, as indicated by the most balanced gains. The cultivars Florunner, Cavalo, LGoPE-06, and LViPE-06 are promising germplasm for ensuring satisfactory selection gains based on production means and high heritability of the most evaluated traits.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-01
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=S1415-43662022000500327
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v26n5p327-334
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dc.format.none.fl_str_mv text/html
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.26 n.5 2022
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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