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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sul. Para informações adicionais entre em contato com cppsul.biblioteca@embrapa.br. |
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
19/04/2018 |
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Data da última atualização: |
14/05/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SHIOTSUKI, L.; CARDOSO, F. F.; ALBUQUERQUE, L. G. |
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Afiliação: |
LUCIANA SHIOTSUKI, CNPASA; FERNANDO FLORES CARDOSO, CPPSUL; L. G. ALBUQUERQUE, UNESP, Jaboticabal-SP. |
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Título: |
Method for the estimation of genetic merit of animals with uncertain paternity under Bayesian inference. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Journal of Animal Breeding and Genetics, v. 135, n. 2, p. 116-123, 2018. |
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DOI: |
10.1111/jbg.12322 |
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Idioma: |
Inglês |
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Conteúdo: |
The use of controlled mating or artificial insemination is impracticable in the case of large herds, mainly because of labour costs and the need to delimit areas during the breeding period. However, the exclusion of information from animals with uncertain paternity reduces genetic progress. The objectives of this study were as follows: (i) propose an iterative empirical Bayesian procedure to implement the hierarchical animal model (ITER); (ii) calculate the posterior probabilities of paternity by the maximum likelihood method following the concepts; (iii) compare an average numerator relationship matrix (ANRM), Bayesian hierarchical (HIER) models and ITER. Records of Nellore animals born between 1984 and 2006 from the zootechnical archive of Agropecuaria Jacarezinho Ltda were used. For data consistency, records of contemporary groups (CGs) with fewer than three animals and animals whose records were 3.5 standard deviations above or below the mean of their CG were eliminated. After editing the data, 62,212 animals in the file and 12,876 animals in pedigree file were maintained, respectively. Spearman and Pearson correlations between the posterior mean of the genetic effects of animals were calculated to compare the ranking of animals for selection. Simulated data were used to confirm the veracity of the model. The correlations between ITER and HIER and between ITER and ANRM were similar evaluating different files, which decreased at the same proportion when only high-ranked animals were evaluated. In conclusion, the model proposed herein is a suitable computational alternative to improve the prediction of breeding values of animals in genetic evaluations using large databases, including animals with uncertain paternity. MenosThe use of controlled mating or artificial insemination is impracticable in the case of large herds, mainly because of labour costs and the need to delimit areas during the breeding period. However, the exclusion of information from animals with uncertain paternity reduces genetic progress. The objectives of this study were as follows: (i) propose an iterative empirical Bayesian procedure to implement the hierarchical animal model (ITER); (ii) calculate the posterior probabilities of paternity by the maximum likelihood method following the concepts; (iii) compare an average numerator relationship matrix (ANRM), Bayesian hierarchical (HIER) models and ITER. Records of Nellore animals born between 1984 and 2006 from the zootechnical archive of Agropecuaria Jacarezinho Ltda were used. For data consistency, records of contemporary groups (CGs) with fewer than three animals and animals whose records were 3.5 standard deviations above or below the mean of their CG were eliminated. After editing the data, 62,212 animals in the file and 12,876 animals in pedigree file were maintained, respectively. Spearman and Pearson correlations between the posterior mean of the genetic effects of animals were calculated to compare the ranking of animals for selection. Simulated data were used to confirm the veracity of the model. The correlations between ITER and HIER and between ITER and ANRM were similar evaluating different files, which decreased at the same proportion when only high-ranked a... Mostrar Tudo |
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Palavras-Chave: |
Mérito genético; Multiple-sire mating; Uncertain paternity. |
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Thesagro: |
Animal. |
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Thesaurus Nal: |
Animals; Bayesian theory; Genetic merit; Uncertainty. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02520naa a2200253 a 4500
001 2090740
005 2018-05-14
008 2018 bl --- 0-- u #d
024 7 $a10.1111/jbg.12322$2DOI
100 1 $aSHIOTSUKI, L.
245 $aMethod for the estimation of genetic merit of animals with uncertain paternity under Bayesian inference.$h[electronic resource]
260 $c2018
520 $aThe use of controlled mating or artificial insemination is impracticable in the case of large herds, mainly because of labour costs and the need to delimit areas during the breeding period. However, the exclusion of information from animals with uncertain paternity reduces genetic progress. The objectives of this study were as follows: (i) propose an iterative empirical Bayesian procedure to implement the hierarchical animal model (ITER); (ii) calculate the posterior probabilities of paternity by the maximum likelihood method following the concepts; (iii) compare an average numerator relationship matrix (ANRM), Bayesian hierarchical (HIER) models and ITER. Records of Nellore animals born between 1984 and 2006 from the zootechnical archive of Agropecuaria Jacarezinho Ltda were used. For data consistency, records of contemporary groups (CGs) with fewer than three animals and animals whose records were 3.5 standard deviations above or below the mean of their CG were eliminated. After editing the data, 62,212 animals in the file and 12,876 animals in pedigree file were maintained, respectively. Spearman and Pearson correlations between the posterior mean of the genetic effects of animals were calculated to compare the ranking of animals for selection. Simulated data were used to confirm the veracity of the model. The correlations between ITER and HIER and between ITER and ANRM were similar evaluating different files, which decreased at the same proportion when only high-ranked animals were evaluated. In conclusion, the model proposed herein is a suitable computational alternative to improve the prediction of breeding values of animals in genetic evaluations using large databases, including animals with uncertain paternity.
650 $aAnimals
650 $aBayesian theory
650 $aGenetic merit
650 $aUncertainty
650 $aAnimal
653 $aMérito genético
653 $aMultiple-sire mating
653 $aUncertain paternity
700 1 $aCARDOSO, F. F.
700 1 $aALBUQUERQUE, L. G.
773 $tJournal of Animal Breeding and Genetics$gv. 135, n. 2, p. 116-123, 2018.
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