Repeatability estimation for mangaba selection using mixed models.

Detalhes bibliográficos
Autor(a) principal: PINHEIRO, D. S.
Data de Publicação: 2019
Outros Autores: MAIA, M. C. C., MOUSINHO, F. E. P., OLIVEIRA, L. C. de, ROSADO, R. D. S., YOKOMIZO, G. K. I.
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/1116351
Resumo: The Mangaba (Hancornia speciosa Gomes) is a fruit tree rich in such vitamins, iron, calcium and protein, and plays an important social, cultural and economic role for farmers in the Cerrado and Caatinga biomes of Brazil. The aim of this study was to estimate genetic parameters and genetic gains in the agrotechnological attributes of a breeding population of the mangaba from Embrapa Meio Norte.
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spelling Repeatability estimation for mangaba selection using mixed models.Parâmetros GenéticosGanhos GenéticosHancornia SpeciosaThe Mangaba (Hancornia speciosa Gomes) is a fruit tree rich in such vitamins, iron, calcium and protein, and plays an important social, cultural and economic role for farmers in the Cerrado and Caatinga biomes of Brazil. The aim of this study was to estimate genetic parameters and genetic gains in the agrotechnological attributes of a breeding population of the mangaba from Embrapa Meio Norte.DIOGO SANTOS PINHEIRO, BOLSISTA CNPQ/PIBIC; MARIA CLIDEANA CABRAL MAIA, CNPAT; FRANCISCO EDINALDO PINTO MOUSINHO, UFPI; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; RENATO DOMICIANO SILVA ROSADO, UFV; GILBERTO KEN ITI YOKOMIZO, CPAF-AP.PINHEIRO, D. S.MAIA, M. C. C.MOUSINHO, F. E. P.OLIVEIRA, L. C. deROSADO, R. D. S.YOKOMIZO, G. K. I.2019-12-09T18:18:04Z2019-12-09T18:18:04Z2019-12-0920192019-12-09T18:18:04Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Agro@mbiente On-line, v. 13, p. 243-255, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116351enginfo: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:EMBRAPA2019-12-09T18:18:10Zoai:www.alice.cnptia.embrapa.br:doc/1116351Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-12-09T18:18:10falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-12-09T18:18:10Repositório 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 Repeatability estimation for mangaba selection using mixed models.
title Repeatability estimation for mangaba selection using mixed models.
spellingShingle Repeatability estimation for mangaba selection using mixed models.
PINHEIRO, D. S.
Parâmetros Genéticos
Ganhos Genéticos
Hancornia Speciosa
title_short Repeatability estimation for mangaba selection using mixed models.
title_full Repeatability estimation for mangaba selection using mixed models.
title_fullStr Repeatability estimation for mangaba selection using mixed models.
title_full_unstemmed Repeatability estimation for mangaba selection using mixed models.
title_sort Repeatability estimation for mangaba selection using mixed models.
author PINHEIRO, D. S.
author_facet PINHEIRO, D. S.
MAIA, M. C. C.
MOUSINHO, F. E. P.
OLIVEIRA, L. C. de
ROSADO, R. D. S.
YOKOMIZO, G. K. I.
author_role author
author2 MAIA, M. C. C.
MOUSINHO, F. E. P.
OLIVEIRA, L. C. de
ROSADO, R. D. S.
YOKOMIZO, G. K. I.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv DIOGO SANTOS PINHEIRO, BOLSISTA CNPQ/PIBIC; MARIA CLIDEANA CABRAL MAIA, CNPAT; FRANCISCO EDINALDO PINTO MOUSINHO, UFPI; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; RENATO DOMICIANO SILVA ROSADO, UFV; GILBERTO KEN ITI YOKOMIZO, CPAF-AP.
dc.contributor.author.fl_str_mv PINHEIRO, D. S.
MAIA, M. C. C.
MOUSINHO, F. E. P.
OLIVEIRA, L. C. de
ROSADO, R. D. S.
YOKOMIZO, G. K. I.
dc.subject.por.fl_str_mv Parâmetros Genéticos
Ganhos Genéticos
Hancornia Speciosa
topic Parâmetros Genéticos
Ganhos Genéticos
Hancornia Speciosa
description The Mangaba (Hancornia speciosa Gomes) is a fruit tree rich in such vitamins, iron, calcium and protein, and plays an important social, cultural and economic role for farmers in the Cerrado and Caatinga biomes of Brazil. The aim of this study was to estimate genetic parameters and genetic gains in the agrotechnological attributes of a breeding population of the mangaba from Embrapa Meio Norte.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-09T18:18:04Z
2019-12-09T18:18:04Z
2019-12-09
2019
2019-12-09T18:18:04Z
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 Revista Agro@mbiente On-line, v. 13, p. 243-255, 2019.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116351
identifier_str_mv Revista Agro@mbiente On-line, v. 13, p. 243-255, 2019.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116351
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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