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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: |
21/11/2014 |
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Data da última atualização: |
05/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, D. J. A.; PEIXOTO, M. G. C. D.; BORQUIS, R. R. A.; PANETTO, J. C. do C.; EL FARO, L.; TONHATI, H. |
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Afiliação: |
D. J. A. SANTOS, UNESP; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; R. R. ASPILCUETA BORQUIS, UNESP; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; L. EL FARO, IZ - SP; H. TONHATI, UNESP. |
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Título: |
Predicting breeding values for milk yield of Guzerá (Bos indicus) cows using random regression models. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Livestock Science, v. 167, p. 41-50, 2014. |
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DOI: |
https://doi.org/10.1016/j.livsci.2014.05.023 |
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Idioma: |
Inglês |
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Conteúdo: |
Given the importance of Guzerá breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzerá cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, Ali and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for test-day milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomials with second and fifth order for, respectively, the additive genetic and permanent environmental effects can be adopted, as little variation was observed in the genetic parameter estimates compared to those estimated by models using the B-spline function. Therefore, due to the lower complexity in the (co)variance estimations, the model using Legendre polynomials represented the best option for the genetic evaluation of the Guzerá lactation records. An increase of 3.6% in the accuracy of the estimated breeding values was verified when using RRM. The ranks of animals were very close whatever the RRM for the data set used to predict breeding values. Considering P305, results indicated only small to medium difference in the animals׳ ranking based on breeding values predicted by the conventional model or by RRM. Therefore, the sum of all the RRM-predicted breeding values along the lactation period (RRM305) can be used as a selection criterion for 305-day milk production. MenosGiven the importance of Guzerá breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzerá cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, Ali and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for test-day milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomia... Mostrar Tudo |
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Palavras-Chave: |
B-spline function; Covariance function; Legendre polynomials; Parametric function. |
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Thesaurus Nal: |
lactation curve. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03285naa a2200253 a 4500
001 2000770
005 2024-02-05
008 2014 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.livsci.2014.05.023$2DOI
100 1 $aSANTOS, D. J. A.
245 $aPredicting breeding values for milk yield of Guzerá (Bos indicus) cows using random regression models.$h[electronic resource]
260 $c2014
520 $aGiven the importance of Guzerá breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzerá cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, Ali and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for test-day milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomials with second and fifth order for, respectively, the additive genetic and permanent environmental effects can be adopted, as little variation was observed in the genetic parameter estimates compared to those estimated by models using the B-spline function. Therefore, due to the lower complexity in the (co)variance estimations, the model using Legendre polynomials represented the best option for the genetic evaluation of the Guzerá lactation records. An increase of 3.6% in the accuracy of the estimated breeding values was verified when using RRM. The ranks of animals were very close whatever the RRM for the data set used to predict breeding values. Considering P305, results indicated only small to medium difference in the animals׳ ranking based on breeding values predicted by the conventional model or by RRM. Therefore, the sum of all the RRM-predicted breeding values along the lactation period (RRM305) can be used as a selection criterion for 305-day milk production.
650 $alactation curve
653 $aB-spline function
653 $aCovariance function
653 $aLegendre polynomials
653 $aParametric function
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aBORQUIS, R. R. A.
700 1 $aPANETTO, J. C. do C.
700 1 $aEL FARO, L.
700 1 $aTONHATI, H.
773 $tLivestock Science$gv. 167, p. 41-50, 2014.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
24/01/2023 |
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Data da última atualização: |
27/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 4 |
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Autoria: |
SILVEIRA, T.; FREITAS, K. E. J. de; SANTOS, R. S. dos; OLIVEIRA, A. C. de; BARBIERI, R. L. |
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Afiliação: |
TATIELI SILVEIRA; KARINE ELISE JANNER DE FREITAS, UNIVERSIDADE FEDERAL DE PELOTAS; RAILSON SCHREINERT DOS SANTOS; ANTONIO COSTA DE OLIVEIRA; ROSA LIA BARBIERI, CPACT. |
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Título: |
Variation in palm tree plastidial simple sequence repeats, characterization, and potential use. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 22, n. 4, e41812241, 2022. |
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DOI: |
http://dx.doi.org/10.1590/1984-70332022v22n4a36 |
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Idioma: |
Inglês |
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Conteúdo: |
Palm trees are the third most important botanical family for humans because of their potential use in oils, drugs, cosmetics, food, and feed. Despite their importance, little information on their genetics and molecular variations exists, and a better understanding could contribute to breeding programs. This study aimed to determine the amount, distribution, and organization of plastid simple sequence repeats (cpSSRs) and their potential use in breeding in 52 species belonging to the order Arecales. Plastid genomes were analyzed to identify cpSSRs according to their nature, position, and presence in genic or intergenic regions. Primer pairs were validated in silico for amplification and polymorphisms in these SSRs and their dissimilarities were evaluated. The results showed a high frequency of mononucleotide repeats in the intergenic regions. Approximately 76 primer pairs were generated and are suggested for further studies. The dissimilarity analysis of cpSSRs showed that mono- and trinucleotides were highly abundant in plastid SSRs. |
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Palavras-Chave: |
Palmeira. |
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Thesaurus NAL: |
Arecales. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1151186/1/Variation-in-palm-tree-plastidial-.pdf
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Marc: |
LEADER 01717naa a2200205 a 4500
001 2151186
005 2023-03-27
008 2022 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/1984-70332022v22n4a36$2DOI
100 1 $aSILVEIRA, T.
245 $aVariation in palm tree plastidial simple sequence repeats, characterization, and potential use.$h[electronic resource]
260 $c2022
520 $aPalm trees are the third most important botanical family for humans because of their potential use in oils, drugs, cosmetics, food, and feed. Despite their importance, little information on their genetics and molecular variations exists, and a better understanding could contribute to breeding programs. This study aimed to determine the amount, distribution, and organization of plastid simple sequence repeats (cpSSRs) and their potential use in breeding in 52 species belonging to the order Arecales. Plastid genomes were analyzed to identify cpSSRs according to their nature, position, and presence in genic or intergenic regions. Primer pairs were validated in silico for amplification and polymorphisms in these SSRs and their dissimilarities were evaluated. The results showed a high frequency of mononucleotide repeats in the intergenic regions. Approximately 76 primer pairs were generated and are suggested for further studies. The dissimilarity analysis of cpSSRs showed that mono- and trinucleotides were highly abundant in plastid SSRs.
650 $aArecales
653 $aPalmeira
700 1 $aFREITAS, K. E. J. de
700 1 $aSANTOS, R. S. dos
700 1 $aOLIVEIRA, A. C. de
700 1 $aBARBIERI, R. L.
773 $tCrop Breeding and Applied Biotechnology$gv. 22, n. 4, e41812241, 2022.
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Embrapa Clima Temperado (CPACT) |
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