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| 8. |  | LOBO, R. N. B.; LOBO, A. M. B. O. Melhoramento genético como ferramenta para o crescimento e o desenvolvimento da ovinocultura de corte. Revista Brasileira de Reprodução Animal, v. 31, n. 2, p. 247-253, abr./jun., 2007. Palestra apresentada no XVII Congresso Brasileiro de Reprodução Animal, 31 de maio a 02 de junho de 2007, Curitiba, PR.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 10. | | LOBO, R. N. B.; FACO, O.; LOBO, A. M. B. O.; VILLELA, L. C. V. Brazilian goat breeding programs. In: INTERNATIONAL CONFERENCE ON GOATS, 9.; REUNIÓN NACIONAL SOBRE CAPRINOCULTURA, 23., 2008, Querétaro, México. Sustainable goat production: challenges and opportunities of small and large enterprises; proceedings. Querétaro: International Goat Association, 2008. p. 154. Abstract 176.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Caprinos e Ovinos. Para informações adicionais entre em contato com cnpc.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
15/09/2017 |
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Data da última atualização: |
23/09/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CARNEIRO, F. F. D.; LOBO, A. M. B. O.; SILVA, L. P. da; SILVA, K. de M.; LANDIM, A. V.; LOBO, R. N. B. |
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Afiliação: |
Francisco Flávio Dias Carneiro, Federal University of Ceará (UFC) - Fortaleza - CE, Brazil; ANA MARIA BEZERRA OLIVEIRA LOBO, CNPC; Luciano Pinheiro da Silva, UFC - Fortaleza - CE, Brazil; KLEIBE DE MORAES SILVA, CNPC; Aline Vieira Landim, Vale do Acaraú State University (UVA) - Sobral - CE, Brazil; RAIMUNDO NONATO BRAGA LOBO, CNPC. |
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Título: |
Genetic evaluation is possible on community pastoral small ruminant flocks in the presence of multiple sires and uncertain of paternity. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Small Ruminant Research, v. 151, p. 72-81, Jun. 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Many sheep flocks in the world are raised collectively, in a communal way, where animals of different owners graze together. These conditions make it difficult or impossible to identify the paternity of the offspring, since several sires and dams can mate without any control. This practice inhibits the achievement of accurate genetic evaluations using the animal model procedures. Therefore, it is proposed here to evaluate the efficiency of the use of two methods, the hierarchical animal model (HM) and the average numerator relationship matrix (ANRM), in the estimation of genetic parameters and breeding values ??of sheep, with uncertainty of paternity in which there are mating in the presence of multiple sires. The methods were compared in two situations, one with a simulated trait with a phenotypic variance of 7.5 kg2, an average of 14.5 kg and a heritability of 0.30, so that the true genetic parameters were known, and the other with real data, with weights at birth and weaning of animals of a flock of Santa Inês sheep breed. The results confirmed that genetic evaluation models with multiple sires, which consider paternity uncertainty, are efficient in estimating genetic parameters and ranking superior sires in sheep flocks with community pastoral characteristics. Despite the best fit of the data by HM, both models were similar for the estimates and can be considered in the genetic evaluations. |
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Palavras-Chave: |
Bayesian analysis; Breeding values; Community involvement; Genetic parameters; Real data. |
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Thesaurus NAL: |
Breeding value; Heritability; Sheep; Simulation models. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02309naa a2200289 a 4500
001 2075678
005 2019-09-23
008 2017 bl uuuu u00u1 u #d
100 1 $aCARNEIRO, F. F. D.
245 $aGenetic evaluation is possible on community pastoral small ruminant flocks in the presence of multiple sires and uncertain of paternity.$h[electronic resource]
260 $c2017
520 $aAbstract: Many sheep flocks in the world are raised collectively, in a communal way, where animals of different owners graze together. These conditions make it difficult or impossible to identify the paternity of the offspring, since several sires and dams can mate without any control. This practice inhibits the achievement of accurate genetic evaluations using the animal model procedures. Therefore, it is proposed here to evaluate the efficiency of the use of two methods, the hierarchical animal model (HM) and the average numerator relationship matrix (ANRM), in the estimation of genetic parameters and breeding values ??of sheep, with uncertainty of paternity in which there are mating in the presence of multiple sires. The methods were compared in two situations, one with a simulated trait with a phenotypic variance of 7.5 kg2, an average of 14.5 kg and a heritability of 0.30, so that the true genetic parameters were known, and the other with real data, with weights at birth and weaning of animals of a flock of Santa Inês sheep breed. The results confirmed that genetic evaluation models with multiple sires, which consider paternity uncertainty, are efficient in estimating genetic parameters and ranking superior sires in sheep flocks with community pastoral characteristics. Despite the best fit of the data by HM, both models were similar for the estimates and can be considered in the genetic evaluations.
650 $aBreeding value
650 $aHeritability
650 $aSheep
650 $aSimulation models
653 $aBayesian analysis
653 $aBreeding values
653 $aCommunity involvement
653 $aGenetic parameters
653 $aReal data
700 1 $aLOBO, A. M. B. O.
700 1 $aSILVA, L. P. da
700 1 $aSILVA, K. de M.
700 1 $aLANDIM, A. V.
700 1 $aLOBO, R. N. B.
773 $tSmall Ruminant Research$gv. 151, p. 72-81, Jun. 2017.
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