Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.

Detalhes bibliográficos
Autor(a) principal: PACHECO, C. A. P.
Data de Publicação: 1997
Outros Autores: RIBEIRO JUNIOR, J. I., CRUZ, C. D.
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/480865
Resumo: Data of corn ear production (kg/ha) of 196 half-sib progenies (HSP) of the maize population CMS-39 obtained from experiments carried out in four environments were used to adapt and assess the BLP method (best linear predictor) in comparison with to the selection among and within half-sib progenies (SAWHSP). The 196 HSP of the CMS-39 population developed by the National Center for Maize and Sorghum Research (CNPMS-EMBRAPA) were related through their pedigree with the recombined progenies of the previous selection cycle. The two methodologies used for the selection of the twenty best half-sib progenies. BLP and SAWHSP, led to similar expected genetic grains. There was a tendency in the BLP methodology to select a greater number of related progenies because of the previous generation (pedigree) than the other method. This implies that greater care with the effictive size of the population must be taken with this method. The SAWHSP methodology was efficient in isolating tha aditive genetic variance component from the phenotypic component. The pedigree system, although unnecessary for the routine use of the SAWHSP methodology, allowed the prediction of an increase in the inbreeding of the population in the long term SAWHSP selection when recombination is simultaneous to creation of new progenies.
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spelling Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.MaizeSelectionMilhoMelhoramentoSeleçãoZea MaysbreedingData of corn ear production (kg/ha) of 196 half-sib progenies (HSP) of the maize population CMS-39 obtained from experiments carried out in four environments were used to adapt and assess the BLP method (best linear predictor) in comparison with to the selection among and within half-sib progenies (SAWHSP). The 196 HSP of the CMS-39 population developed by the National Center for Maize and Sorghum Research (CNPMS-EMBRAPA) were related through their pedigree with the recombined progenies of the previous selection cycle. The two methodologies used for the selection of the twenty best half-sib progenies. BLP and SAWHSP, led to similar expected genetic grains. There was a tendency in the BLP methodology to select a greater number of related progenies because of the previous generation (pedigree) than the other method. This implies that greater care with the effictive size of the population must be taken with this method. The SAWHSP methodology was efficient in isolating tha aditive genetic variance component from the phenotypic component. The pedigree system, although unnecessary for the routine use of the SAWHSP methodology, allowed the prediction of an increase in the inbreeding of the population in the long term SAWHSP selection when recombination is simultaneous to creation of new progenies.EMBRAPA/CNPMS.PACHECO, C. A. P.RIBEIRO JUNIOR, J. I.CRUZ, C. D.2011-04-10T11:11:11Z2011-04-10T11:11:11Z1998-12-1619972018-06-11T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBrazilian Journal of Genetics, Ribeirão Preto, v. 20, n. 4, p. 683-690, 1997.http://www.alice.cnptia.embrapa.br/alice/handle/doc/480865enginfo: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:EMBRAPA2017-08-16T02:38:16Zoai:www.alice.cnptia.embrapa.br:doc/480865Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T02:38:16Repositório 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 Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.
title Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.
spellingShingle Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.
PACHECO, C. A. P.
Maize
Selection
Milho
Melhoramento
Seleção
Zea Mays
breeding
title_short Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.
title_full Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.
title_fullStr Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.
title_full_unstemmed Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.
title_sort Using the best linear predictor (BLP) in the selection between and among half-sib progenies of the CMS-39 maize population.
author PACHECO, C. A. P.
author_facet PACHECO, C. A. P.
RIBEIRO JUNIOR, J. I.
CRUZ, C. D.
author_role author
author2 RIBEIRO JUNIOR, J. I.
CRUZ, C. D.
author2_role author
author
dc.contributor.none.fl_str_mv EMBRAPA/CNPMS.
dc.contributor.author.fl_str_mv PACHECO, C. A. P.
RIBEIRO JUNIOR, J. I.
CRUZ, C. D.
dc.subject.por.fl_str_mv Maize
Selection
Milho
Melhoramento
Seleção
Zea Mays
breeding
topic Maize
Selection
Milho
Melhoramento
Seleção
Zea Mays
breeding
description Data of corn ear production (kg/ha) of 196 half-sib progenies (HSP) of the maize population CMS-39 obtained from experiments carried out in four environments were used to adapt and assess the BLP method (best linear predictor) in comparison with to the selection among and within half-sib progenies (SAWHSP). The 196 HSP of the CMS-39 population developed by the National Center for Maize and Sorghum Research (CNPMS-EMBRAPA) were related through their pedigree with the recombined progenies of the previous selection cycle. The two methodologies used for the selection of the twenty best half-sib progenies. BLP and SAWHSP, led to similar expected genetic grains. There was a tendency in the BLP methodology to select a greater number of related progenies because of the previous generation (pedigree) than the other method. This implies that greater care with the effictive size of the population must be taken with this method. The SAWHSP methodology was efficient in isolating tha aditive genetic variance component from the phenotypic component. The pedigree system, although unnecessary for the routine use of the SAWHSP methodology, allowed the prediction of an increase in the inbreeding of the population in the long term SAWHSP selection when recombination is simultaneous to creation of new progenies.
publishDate 1997
dc.date.none.fl_str_mv 1997
1998-12-16
2011-04-10T11:11:11Z
2011-04-10T11:11:11Z
2018-06-11T11:11:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Brazilian Journal of Genetics, Ribeirão Preto, v. 20, n. 4, p. 683-690, 1997.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/480865
identifier_str_mv Brazilian Journal of Genetics, Ribeirão Preto, v. 20, n. 4, p. 683-690, 1997.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/480865
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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