Visual selection of Urochloa ruziziensis genotypes for green biomass yield
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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. |
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Acta Scientiarum. Agronomy (Online) |
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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 |