Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis.
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1061778 |
Resumo: | Half-sib progenies of congo signal grass (Brachiaria ruziziensis Germain & Evrard, syn.: B. eminii, Urochloa ruziziensis) were analysed using a mixed model methodology. The objective was to estimate genetic and phenotypic parameters, predict individual genetic values, estimate correlations between characters associated with biomass production and forage nutritive value and use this information to determine the economic weights to compare three multiplicative selection indices. Individual narrow-sense heritabilities corrected for inbreeding varied from 0.14 to 0.91 for characters associated with biomass production and from 0.04 a 0.24 for nutritional value characters. The correlations among characters associated with annual biomass production were of high magnitude. In contrast, biomass production characters were negatively correlated with crude protein, acid detergent fibre and lignin. Total dry matter yield, crude protein and regrowth ability were weighted separately in evaluations during wet and dry season or annually in selection indices. Index that considered characters annually resulted in better distribution of forage production along theyear than indices that separated wet and dry season production. |
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Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis.Valor nutricionalGenetic parametersMixed modelsYeldsPlanta forrageiraParâmetro genéticoTeste de progenieBrachiariaForage grassesNutritive valueProgeny testingTropical grasslandsHalf-sib progenies of congo signal grass (Brachiaria ruziziensis Germain & Evrard, syn.: B. eminii, Urochloa ruziziensis) were analysed using a mixed model methodology. The objective was to estimate genetic and phenotypic parameters, predict individual genetic values, estimate correlations between characters associated with biomass production and forage nutritive value and use this information to determine the economic weights to compare three multiplicative selection indices. Individual narrow-sense heritabilities corrected for inbreeding varied from 0.14 to 0.91 for characters associated with biomass production and from 0.04 a 0.24 for nutritional value characters. The correlations among characters associated with annual biomass production were of high magnitude. In contrast, biomass production characters were negatively correlated with crude protein, acid detergent fibre and lignin. Total dry matter yield, crude protein and regrowth ability were weighted separately in evaluations during wet and dry season or annually in selection indices. Index that considered characters annually resulted in better distribution of forage production along theyear than indices that separated wet and dry season production.ROSANGELA MARIA SIMEAO RESENDE, CNPGC; ADRIANE SILVA, Universidade Católica Dom Bosco; CACILDA BORGES DO VALLE, CNPGC; MARCOS DEON VILELA DE RESENDE, CNPF; SERGIO RAPOSO DE MEDEIROS, CNPGC.SIMEÃO, R.SILVA, A.VALLE, C.RESENDE, M. D.MEDEIROS, S.2017-01-25T11:11:11Z2017-01-25T11:11:11Z2017-01-2520162017-03-06T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePlant Breeding, v. 135, n. 2, p. 246-253, Apr. 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/106177810.1111/pbr.12353enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:05:28Zoai:www.alice.cnptia.embrapa.br:doc/1061778Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:05:28falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:05:28Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis. |
title |
Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis. |
spellingShingle |
Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis. SIMEÃO, R. Valor nutricional Genetic parameters Mixed models Yelds Planta forrageira Parâmetro genético Teste de progenie Brachiaria Forage grasses Nutritive value Progeny testing Tropical grasslands |
title_short |
Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis. |
title_full |
Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis. |
title_fullStr |
Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis. |
title_full_unstemmed |
Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis. |
title_sort |
Genetic evaluation and selection index in tetraploid Brachiaria ruziziensis. |
author |
SIMEÃO, R. |
author_facet |
SIMEÃO, R. SILVA, A. VALLE, C. RESENDE, M. D. MEDEIROS, S. |
author_role |
author |
author2 |
SILVA, A. VALLE, C. RESENDE, M. D. MEDEIROS, S. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
ROSANGELA MARIA SIMEAO RESENDE, CNPGC; ADRIANE SILVA, Universidade Católica Dom Bosco; CACILDA BORGES DO VALLE, CNPGC; MARCOS DEON VILELA DE RESENDE, CNPF; SERGIO RAPOSO DE MEDEIROS, CNPGC. |
dc.contributor.author.fl_str_mv |
SIMEÃO, R. SILVA, A. VALLE, C. RESENDE, M. D. MEDEIROS, S. |
dc.subject.por.fl_str_mv |
Valor nutricional Genetic parameters Mixed models Yelds Planta forrageira Parâmetro genético Teste de progenie Brachiaria Forage grasses Nutritive value Progeny testing Tropical grasslands |
topic |
Valor nutricional Genetic parameters Mixed models Yelds Planta forrageira Parâmetro genético Teste de progenie Brachiaria Forage grasses Nutritive value Progeny testing Tropical grasslands |
description |
Half-sib progenies of congo signal grass (Brachiaria ruziziensis Germain & Evrard, syn.: B. eminii, Urochloa ruziziensis) were analysed using a mixed model methodology. The objective was to estimate genetic and phenotypic parameters, predict individual genetic values, estimate correlations between characters associated with biomass production and forage nutritive value and use this information to determine the economic weights to compare three multiplicative selection indices. Individual narrow-sense heritabilities corrected for inbreeding varied from 0.14 to 0.91 for characters associated with biomass production and from 0.04 a 0.24 for nutritional value characters. The correlations among characters associated with annual biomass production were of high magnitude. In contrast, biomass production characters were negatively correlated with crude protein, acid detergent fibre and lignin. Total dry matter yield, crude protein and regrowth ability were weighted separately in evaluations during wet and dry season or annually in selection indices. Index that considered characters annually resulted in better distribution of forage production along theyear than indices that separated wet and dry season production. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2017-01-25T11:11:11Z 2017-01-25T11:11:11Z 2017-01-25 2017-03-06T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Plant Breeding, v. 135, n. 2, p. 246-253, Apr. 2016. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1061778 10.1111/pbr.12353 |
identifier_str_mv |
Plant Breeding, v. 135, n. 2, p. 246-253, Apr. 2016. 10.1111/pbr.12353 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1061778 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503431339114496 |