Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding

Detalhes bibliográficos
Autor(a) principal: Mezzomo,Henrique Caletti
Data de Publicação: 2021
Outros Autores: Casagrande,Cleiton Renato, Sousa,Diana Jhulia Palheta de, Borém,Aluízio, Silva,Fabyano Fonseca e, Nardino,Maicon
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000400202
Resumo: Abstract The improvement of superior wheat cultivars depends on the identification of promising segregating populations to derive superior lines. A lattice model (8×8) involving 56 F2 populations and eight parents was conducted in the 2020 cropping season, and grain yield per plant was evaluated for every F2 population, with further analysis of the population potential by Jinks and Pooni method via REML/BLUP. A total of 5,410 F2 plants were evaluated in this study. The results showed that the use of genetic variance associated with the individual genotypic value (BLUP) was superior compared with the use of variance and traditional phenotypic values. The F2 populations, CD 1303/BRS 254, CD 1303/Tbio Duque, CD 1303/Tbio Ponteiro, BRS 264/Tbio Aton, Tbio Ponteiro/Tbio Aton, and Tbio Sossego/CD 1303 had the highest likelihood of deriving superior lines.
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spelling Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breedingTriticum aestivum Lquantitative geneticsplant selectionAbstract The improvement of superior wheat cultivars depends on the identification of promising segregating populations to derive superior lines. A lattice model (8×8) involving 56 F2 populations and eight parents was conducted in the 2020 cropping season, and grain yield per plant was evaluated for every F2 population, with further analysis of the population potential by Jinks and Pooni method via REML/BLUP. A total of 5,410 F2 plants were evaluated in this study. The results showed that the use of genetic variance associated with the individual genotypic value (BLUP) was superior compared with the use of variance and traditional phenotypic values. The F2 populations, CD 1303/BRS 254, CD 1303/Tbio Duque, CD 1303/Tbio Ponteiro, BRS 264/Tbio Aton, Tbio Ponteiro/Tbio Aton, and Tbio Sossego/CD 1303 had the highest likelihood of deriving superior lines.Crop Breeding and Applied Biotechnology2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000400202Crop Breeding and Applied Biotechnology v.21 n.4 2021reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332021v21n4a52info:eu-repo/semantics/openAccessMezzomo,Henrique CalettiCasagrande,Cleiton RenatoSousa,Diana Jhulia Palheta deBorém,AluízioSilva,Fabyano Fonseca eNardino,Maiconeng2021-12-06T00:00:00Zoai:scielo:S1984-70332021000400202Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2021-12-06T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
title Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
spellingShingle Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
Mezzomo,Henrique Caletti
Triticum aestivum L
quantitative genetics
plant selection
title_short Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
title_full Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
title_fullStr Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
title_full_unstemmed Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
title_sort Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
author Mezzomo,Henrique Caletti
author_facet Mezzomo,Henrique Caletti
Casagrande,Cleiton Renato
Sousa,Diana Jhulia Palheta de
Borém,Aluízio
Silva,Fabyano Fonseca e
Nardino,Maicon
author_role author
author2 Casagrande,Cleiton Renato
Sousa,Diana Jhulia Palheta de
Borém,Aluízio
Silva,Fabyano Fonseca e
Nardino,Maicon
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Mezzomo,Henrique Caletti
Casagrande,Cleiton Renato
Sousa,Diana Jhulia Palheta de
Borém,Aluízio
Silva,Fabyano Fonseca e
Nardino,Maicon
dc.subject.por.fl_str_mv Triticum aestivum L
quantitative genetics
plant selection
topic Triticum aestivum L
quantitative genetics
plant selection
description Abstract The improvement of superior wheat cultivars depends on the identification of promising segregating populations to derive superior lines. A lattice model (8×8) involving 56 F2 populations and eight parents was conducted in the 2020 cropping season, and grain yield per plant was evaluated for every F2 population, with further analysis of the population potential by Jinks and Pooni method via REML/BLUP. A total of 5,410 F2 plants were evaluated in this study. The results showed that the use of genetic variance associated with the individual genotypic value (BLUP) was superior compared with the use of variance and traditional phenotypic values. The F2 populations, CD 1303/BRS 254, CD 1303/Tbio Duque, CD 1303/Tbio Ponteiro, BRS 264/Tbio Aton, Tbio Ponteiro/Tbio Aton, and Tbio Sossego/CD 1303 had the highest likelihood of deriving superior lines.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000400202
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000400202
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332021v21n4a52
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology v.21 n.4 2021
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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