Visual selection of Urochloa ruziziensis genotypes for green biomass yield

Detalhes bibliográficos
Autor(a) principal: Teixeira, Davi Henrique Lima
Data de Publicação: 2019
Outros Autores: Gonçalves, Flávia Maria Avelar, Nunes, José Airton Rodrigues, Souza Sobrinho, Fausto, Benites, Flávio Rodrigo Gandolfi, Dias, Kaio Olímpio das Graças
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42444
Resumo: The breeding program of Urochloa ruziziensis evaluates many genotypes in initial phases. Evaluations through grades might make the selection less costly. The aim of this study was to verify the efficiency of visual selection for green biomass yield in relation to different selection strategies, such as mass selection by phenotypic mean, BLUP (Best Linear Unbiased Prediction) and at random. For this purpose, 2,309 regular genotypes were evaluated in an augmented block design in two cuts. The evaluators gave grades for plant vigor, and later, the plots were measured for green biomass yield. The coincidences of the selected genotypes were estimated by different selection strategies. Then, 254 clones of the genotypes selected in different strategies were evaluated in a clonal test in a triple lattice design in four cuts. The statistical analyses were performed in SAS using the Mixed procedure. The regular genotype level and clone-mean basis heritabilities were 31.16 and 62.91%, respectively, for green mass yield. The expected selection gains were 21.09% (visual), 25.43% (phenotypic mean), and 27.5% (BLUP). Moreover, the realized heritabilities for these strategies were 15.58, 11.87, and 15.86%, respectively, which might be associated with genotype by environment interaction. Therefore, the visual selection could be a useful strategy in initial phases of a U. ruziziensis breeding program because the efficiency was moderate to high in relation to phenotypic mean and BLUP.
id UEM-5_b768dc7e84486ee2bceeda1723bf10ff
oai_identifier_str oai:periodicos.uem.br/ojs:article/42444
network_acronym_str UEM-5
network_name_str Acta Scientiarum. Agronomy (Online)
repository_id_str
spelling Visual selection of Urochloa ruziziensis genotypes for green biomass yieldmass selection; realized heritability; BLUP; Brachiaria.The breeding program of Urochloa ruziziensis evaluates many genotypes in initial phases. Evaluations through grades might make the selection less costly. The aim of this study was to verify the efficiency of visual selection for green biomass yield in relation to different selection strategies, such as mass selection by phenotypic mean, BLUP (Best Linear Unbiased Prediction) and at random. For this purpose, 2,309 regular genotypes were evaluated in an augmented block design in two cuts. The evaluators gave grades for plant vigor, and later, the plots were measured for green biomass yield. The coincidences of the selected genotypes were estimated by different selection strategies. Then, 254 clones of the genotypes selected in different strategies were evaluated in a clonal test in a triple lattice design in four cuts. The statistical analyses were performed in SAS using the Mixed procedure. The regular genotype level and clone-mean basis heritabilities were 31.16 and 62.91%, respectively, for green mass yield. The expected selection gains were 21.09% (visual), 25.43% (phenotypic mean), and 27.5% (BLUP). Moreover, the realized heritabilities for these strategies were 15.58, 11.87, and 15.86%, respectively, which might be associated with genotype by environment interaction. Therefore, the visual selection could be a useful strategy in initial phases of a U. ruziziensis breeding program because the efficiency was moderate to high in relation to phenotypic mean and BLUP.Universidade Estadual de Maringá2019-11-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4244410.4025/actasciagron.v42i1.42444Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42444Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e424441807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42444/751375148978Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTeixeira, Davi Henrique Lima Gonçalves, Flávia Maria Avelar Nunes, José Airton RodriguesSouza Sobrinho, FaustoBenites, Flávio Rodrigo Gandolfi Dias, Kaio Olímpio das Graças 2020-11-16T18:51:04Zoai:periodicos.uem.br/ojs:article/42444Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2020-11-16T18:51:04Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Visual selection of Urochloa ruziziensis genotypes for green biomass yield
title Visual selection of Urochloa ruziziensis genotypes for green biomass yield
spellingShingle Visual selection of Urochloa ruziziensis genotypes for green biomass yield
Teixeira, Davi Henrique Lima
mass selection; realized heritability; BLUP; Brachiaria.
title_short Visual selection of Urochloa ruziziensis genotypes for green biomass yield
title_full Visual selection of Urochloa ruziziensis genotypes for green biomass yield
title_fullStr Visual selection of Urochloa ruziziensis genotypes for green biomass yield
title_full_unstemmed Visual selection of Urochloa ruziziensis genotypes for green biomass yield
title_sort Visual selection of Urochloa ruziziensis genotypes for green biomass yield
author Teixeira, Davi Henrique Lima
author_facet Teixeira, Davi Henrique Lima
Gonçalves, Flávia Maria Avelar
Nunes, José Airton Rodrigues
Souza Sobrinho, Fausto
Benites, Flávio Rodrigo Gandolfi
Dias, Kaio Olímpio das Graças
author_role author
author2 Gonçalves, Flávia Maria Avelar
Nunes, José Airton Rodrigues
Souza Sobrinho, Fausto
Benites, Flávio Rodrigo Gandolfi
Dias, Kaio Olímpio das Graças
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Teixeira, Davi Henrique Lima
Gonçalves, Flávia Maria Avelar
Nunes, José Airton Rodrigues
Souza Sobrinho, Fausto
Benites, Flávio Rodrigo Gandolfi
Dias, Kaio Olímpio das Graças
dc.subject.por.fl_str_mv mass selection; realized heritability; BLUP; Brachiaria.
topic mass selection; realized heritability; BLUP; Brachiaria.
description The breeding program of Urochloa ruziziensis evaluates many genotypes in initial phases. Evaluations through grades might make the selection less costly. The aim of this study was to verify the efficiency of visual selection for green biomass yield in relation to different selection strategies, such as mass selection by phenotypic mean, BLUP (Best Linear Unbiased Prediction) and at random. For this purpose, 2,309 regular genotypes were evaluated in an augmented block design in two cuts. The evaluators gave grades for plant vigor, and later, the plots were measured for green biomass yield. The coincidences of the selected genotypes were estimated by different selection strategies. Then, 254 clones of the genotypes selected in different strategies were evaluated in a clonal test in a triple lattice design in four cuts. The statistical analyses were performed in SAS using the Mixed procedure. The regular genotype level and clone-mean basis heritabilities were 31.16 and 62.91%, respectively, for green mass yield. The expected selection gains were 21.09% (visual), 25.43% (phenotypic mean), and 27.5% (BLUP). Moreover, the realized heritabilities for these strategies were 15.58, 11.87, and 15.86%, respectively, which might be associated with genotype by environment interaction. Therefore, the visual selection could be a useful strategy in initial phases of a U. ruziziensis breeding program because the efficiency was moderate to high in relation to phenotypic mean and BLUP.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-20
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 http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42444
10.4025/actasciagron.v42i1.42444
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42444
identifier_str_mv 10.4025/actasciagron.v42i1.42444
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42444/751375148978
dc.rights.driver.fl_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42444
Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e42444
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
_version_ 1799305910585131008