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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
14/01/2019 |
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Data da última atualização: |
24/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ROCHA, G. M. F.; COBUCI, J. A.; COSTA, C. N.; ABREU, L. R. A.; MOTA, L. F. M.; PIRES, A. V.; VILLELA, S. D. J.; MARTINS, P. G. M. A. |
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Afiliação: |
Graziela M. F. Rocha, Universidade Federal do Vale do Jequitinhonha e Mucuri; Jaime A. Cobuci, UFRGS; CLAUDIO NAPOLIS COSTA, CNPGL; Luíza R. A. Abreu, Universidade Federal do Vale do Jequitinhonha e Mucuri; Lúcio F. M. Mota, Universidade Federal do Vale do Jequitinhonha e Mucuri; Aldrin V. Pires, Universidade Federal do Vale do Jequitinhonha e Mucuri; Severino D. J. Villela, Universidade Federal do Vale do Jequitinhonha e Mucuri; Paulo G. M. A. Martins, Universidade Federal do Vale do Jequitinhonha e Mucuri. |
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Título: |
Genetic association between stayability, and productive and reproductive traits in Holstein cows. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Animal Production Science, v. 58, p. 1788-1793, 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract The objective was to estimate the genetic parameters for the cow?s ability to stay in the herd (stayability) until 48 and 54 months of age (STAY48 and STAY54) and up to 36 and 48 months after the first calving (STAY36ac and STAY48ac), and their associations with 305-day milk production (MP305) in the first lactation, age at first calving and first calving interval, from the first three lactations of cows reared in Brazil and born between 1987 and 2006. The covariance components were estimated by bivariate analyses, using the Bayesian approach. The a posteriori distributions of the components of interest were obtained with the Gibbs sampler. Fixed effect of contemporary group, additive and residual random genetic effect, and age of dam as covariate (linear and quadratic) were included in the analyses. Low heritability values were obtained for most traits, except for STAY48ac and MP305. Genetic correlation estimates between age at first calving and stayability traits were high and positive, except for STAY48ac. In addition, we detected genetic correlations between MP305 and STAY36ac and STAY48ac. In conclusion, we can infer that genetic correlations between MP305, and STAY36ac and STAY48ac indicate that the current focus on selection of animals for improved milk production in the first lactation can lead to genetic gains on longevity, although not expressive. |
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Palavras-Chave: |
Age at first calving. |
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Thesaurus Nal: |
Dairy cattle; Genetic correlation; Longevity. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02137naa a2200253 a 4500
001 2103921
005 2023-01-24
008 2018 bl uuuu u00u1 u #d
100 1 $aROCHA, G. M. F.
245 $aGenetic association between stayability, and productive and reproductive traits in Holstein cows.$h[electronic resource]
260 $c2018
520 $aAbstract The objective was to estimate the genetic parameters for the cow?s ability to stay in the herd (stayability) until 48 and 54 months of age (STAY48 and STAY54) and up to 36 and 48 months after the first calving (STAY36ac and STAY48ac), and their associations with 305-day milk production (MP305) in the first lactation, age at first calving and first calving interval, from the first three lactations of cows reared in Brazil and born between 1987 and 2006. The covariance components were estimated by bivariate analyses, using the Bayesian approach. The a posteriori distributions of the components of interest were obtained with the Gibbs sampler. Fixed effect of contemporary group, additive and residual random genetic effect, and age of dam as covariate (linear and quadratic) were included in the analyses. Low heritability values were obtained for most traits, except for STAY48ac and MP305. Genetic correlation estimates between age at first calving and stayability traits were high and positive, except for STAY48ac. In addition, we detected genetic correlations between MP305 and STAY36ac and STAY48ac. In conclusion, we can infer that genetic correlations between MP305, and STAY36ac and STAY48ac indicate that the current focus on selection of animals for improved milk production in the first lactation can lead to genetic gains on longevity, although not expressive.
650 $aDairy cattle
650 $aGenetic correlation
650 $aLongevity
653 $aAge at first calving
700 1 $aCOBUCI, J. A.
700 1 $aCOSTA, C. N.
700 1 $aABREU, L. R. A.
700 1 $aMOTA, L. F. M.
700 1 $aPIRES, A. V.
700 1 $aVILLELA, S. D. J.
700 1 $aMARTINS, P. G. M. A.
773 $tAnimal Production Science$gv. 58, p. 1788-1793, 2018.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registro Completo
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
12/02/2022 |
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Data da última atualização: |
24/02/2022 |
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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: |
PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FARIAS, F. J. C.; CARVALHO, L. P.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. |
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Afiliação: |
MARCO ANTÔNIO PEIXITO, UNIVERSIDADE FEDERAL DE VIÇOSA; JENIFFER SANTANA PINTO COELHO EVANGELISTA, UNIVERSIDADE FEDERAL DE VIÇOSA; RODRIGO SILVA ALVES, UNIVERSIDADE FEDERAL DE VIÇOSA; FRANCISCO JOSÉ CORREA FARIAS, CNPA; LUIZ PAULO DE CARVALHO, CNPA; LARISSA PEREIRA RIBEIRO TEODORO, UNIVERSIDADE FEDERAL DE MATO GROSSO; PAULO EDUARDO TEODORO, UNIVERSIDADE FEDERAL DE MATO GROSSO; LEONARDO LOPES BHERING, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
Models for optimizing selection based on adaptability and stability of cotton genotypes. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Ciência Rural, v. 51, n. 5, e20200530, p. 1-8, 2021. |
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Páginas: |
8 p. |
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ISSN: |
1678-4596 |
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DOI: |
10.1590/0103-8478cr20200530 |
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Idioma: |
Inglês |
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Conteúdo: |
In multi-environment trials (MET), large networks are assessed for results improvement. However, genotype by environment interaction plays an important role in the selection of the most adaptable and stable genotypes in MET framework. In this study, we tested different residual variances and measure the selection gain of cotton genotypes accounting for adaptability and stability, simultaneously. Twelve genotypes of cotton were bred in 10 environments, and fiber length (FL), fiber strength (FS), micronaire (MIC), and fiber yield (FY) were determined. Model selection for different residual variance structures (homogeneous and heterogeneous) was tested using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The variance components were estimated through restricted maximum likelihood and genotypic values were predicted through best linear unbiased prediction. The harmonic mean of relative performance of genetic values (HMRPGV) were applied for simultaneous selection for adaptability, stability, and yield. According to BIC heterogeneous residual variance was the best model fit for FY, whereas homogeneous residual variance was the best model fit for FL, FS, and MIC traits. The selective accuracy was high, indicating reliability of the prediction. The HMRPGV was capable to select for stability, adaptability and yield simultaneously, with remarkable selection gain for each trait. |
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Palavras-Chave: |
Bayesian Information Criterion; BIC; Ensaios multi ambientes; Estabilidade; HMRPGV; Média Harmônica do Desempenho Relativo dos Valores Genéticos; Multi environment trials. |
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Thesagro: |
Algodão; Fibra Vegetal; Gossypium Hirsutum; Produtividade. |
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Thesaurus NAL: |
Cotton. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/231250/1/MODELS-FOR-OPTIMIZING-SELECTION-BASED-ON-ADAPTABILITY.pdf
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Marc: |
LEADER 02564naa a2200385 a 4500
001 2139988
005 2022-02-24
008 2021 bl uuuu u00u1 u #d
022 $a1678-4596
024 7 $a10.1590/0103-8478cr20200530$2DOI
100 1 $aPEIXOTO, M. A.
245 $aModels for optimizing selection based on adaptability and stability of cotton genotypes.$h[electronic resource]
260 $c2021
300 $a8 p.
520 $aIn multi-environment trials (MET), large networks are assessed for results improvement. However, genotype by environment interaction plays an important role in the selection of the most adaptable and stable genotypes in MET framework. In this study, we tested different residual variances and measure the selection gain of cotton genotypes accounting for adaptability and stability, simultaneously. Twelve genotypes of cotton were bred in 10 environments, and fiber length (FL), fiber strength (FS), micronaire (MIC), and fiber yield (FY) were determined. Model selection for different residual variance structures (homogeneous and heterogeneous) was tested using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The variance components were estimated through restricted maximum likelihood and genotypic values were predicted through best linear unbiased prediction. The harmonic mean of relative performance of genetic values (HMRPGV) were applied for simultaneous selection for adaptability, stability, and yield. According to BIC heterogeneous residual variance was the best model fit for FY, whereas homogeneous residual variance was the best model fit for FL, FS, and MIC traits. The selective accuracy was high, indicating reliability of the prediction. The HMRPGV was capable to select for stability, adaptability and yield simultaneously, with remarkable selection gain for each trait.
650 $aCotton
650 $aAlgodão
650 $aFibra Vegetal
650 $aGossypium Hirsutum
650 $aProdutividade
653 $aBayesian Information Criterion
653 $aBIC
653 $aEnsaios multi ambientes
653 $aEstabilidade
653 $aHMRPGV
653 $aMédia Harmônica do Desempenho Relativo dos Valores Genéticos
653 $aMulti environment trials
700 1 $aEVANGELISTA, J. S. P. C.
700 1 $aALVES, R. S.
700 1 $aFARIAS, F. J. C.
700 1 $aCARVALHO, L. P.
700 1 $aTEODORO, L. P. R.
700 1 $aTEODORO, P. E.
700 1 $aBHERING, L. L.
773 $tCiência Rural$gv. 51, n. 5, e20200530, p. 1-8, 2021.
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Embrapa Algodão (CNPA) |
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