Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
23/06/2016 |
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Data da última atualização: |
26/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SARMENTO, J. L. R.; TORRES, R. A.; SOUSA, W. H.; LOBO, R. N. B.; ALBUQUERQUE, L. G.; LOPES, P. S.; SANTOS, N. P. S.; BIGNARD, A. B. |
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Afiliação: |
Universidade Federal do Piauí (UFPI) - Teresina, PI, Brasil; Universidade Federal de Viçosa (UFV) - Viçosa, MG, Brasil; EMEPA - João Pessoa, PB, Brasil; RAIMUNDO NONATO BRAGA LOBO, CNPC; Universidade Estadual Paulista (UNESP) - Jaboticabal, SP, Brasil; UFV - Viçosa, MG, Brazil; UFPI - Bom Jesus, PI, Brasil; UNESP - Jaboticabal, SP, Brasil. |
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Título: |
Random regression models for the estimation of genetic and environmental covariance functions for growth traits in Santa Ines sheep. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Genetics and Molecular Research, Ribeirão Preto, v. 15, n. 2, Jun. 2016 |
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DOI: |
10.4238/gmr.15025749 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Polynomial functions of different orders were used to model random effects associated with weight of Santa Ines sheep from birth to 196 days. Fixed effects included in the models were contemporary groups, age of ewe at lambing, and fourth-order Legendre polynomials for age to represent the average growth curve. In the random part, functions of different orders were included to model variances associated with direct additive and maternal genetic effects and with permanent environmental effects of the animal and mother. Residual variance was fitted by a sixth-order ordinary polynomial for age. The higher the order of the functions, the better the model fit the data. According to the Akaike information criterion and likelihood ratio test, a continuous function of order, five, five, seven, and three for direct additive genetic, maternal genetic, animal permanent environmental, and maternal permanent environmental effects (k = 5573), respectively, was sufficient to model changes in (co)variances with age. However, a more parsimonious model of order three, three, five, and three (k = 3353) was suggested based on Schwarz's Bayesian information criterion for the same effects. Since it was a more flexible model, model k = 5573 provided inconsistent genetic parameter estimates when compared to the biologically expected result. Predicted breeding values obtained with models k = 3353 and k = 5573 differed, especially at young ages. Model k = 3353 adequately fit changes in variances and covariances with time, and may be used to describe changes in variances with age in the Santa Ines sheep studied. MenosAbstract: Polynomial functions of different orders were used to model random effects associated with weight of Santa Ines sheep from birth to 196 days. Fixed effects included in the models were contemporary groups, age of ewe at lambing, and fourth-order Legendre polynomials for age to represent the average growth curve. In the random part, functions of different orders were included to model variances associated with direct additive and maternal genetic effects and with permanent environmental effects of the animal and mother. Residual variance was fitted by a sixth-order ordinary polynomial for age. The higher the order of the functions, the better the model fit the data. According to the Akaike information criterion and likelihood ratio test, a continuous function of order, five, five, seven, and three for direct additive genetic, maternal genetic, animal permanent environmental, and maternal permanent environmental effects (k = 5573), respectively, was sufficient to model changes in (co)variances with age. However, a more parsimonious model of order three, three, five, and three (k = 3353) was suggested based on Schwarz's Bayesian information criterion for the same effects. Since it was a more flexible model, model k = 5573 provided inconsistent genetic parameter estimates when compared to the biologically expected result. Predicted breeding values obtained with models k = 3353 and k = 5573 differed, especially at young ages. Model k = 3353 adequately fit changes in vari... Mostrar Tudo |
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Palavras-Chave: |
Correlação genética; Genetic parameters; Growth curve; Legendre polynomials; Polinômio ordinário; Polinômios de Legendre; Raça Santa Inês. |
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Thesagro: |
Curva de crescimento; Genética animal; Melhoramento genético animal; Ovino; Parâmetro genético. |
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Thesaurus NAL: |
Genetic correlation; growth traits; Sheep. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144731/1/CNPC-2016-Random.pdf
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Marc: |
LEADER 02853naa a2200397 a 4500
001 2047794
005 2018-01-26
008 2016 bl uuuu u00u1 u #d
024 7 $a10.4238/gmr.15025749$2DOI
100 1 $aSARMENTO, J. L. R.
245 $aRandom regression models for the estimation of genetic and environmental covariance functions for growth traits in Santa Ines sheep.$h[electronic resource]
260 $c2016
520 $aAbstract: Polynomial functions of different orders were used to model random effects associated with weight of Santa Ines sheep from birth to 196 days. Fixed effects included in the models were contemporary groups, age of ewe at lambing, and fourth-order Legendre polynomials for age to represent the average growth curve. In the random part, functions of different orders were included to model variances associated with direct additive and maternal genetic effects and with permanent environmental effects of the animal and mother. Residual variance was fitted by a sixth-order ordinary polynomial for age. The higher the order of the functions, the better the model fit the data. According to the Akaike information criterion and likelihood ratio test, a continuous function of order, five, five, seven, and three for direct additive genetic, maternal genetic, animal permanent environmental, and maternal permanent environmental effects (k = 5573), respectively, was sufficient to model changes in (co)variances with age. However, a more parsimonious model of order three, three, five, and three (k = 3353) was suggested based on Schwarz's Bayesian information criterion for the same effects. Since it was a more flexible model, model k = 5573 provided inconsistent genetic parameter estimates when compared to the biologically expected result. Predicted breeding values obtained with models k = 3353 and k = 5573 differed, especially at young ages. Model k = 3353 adequately fit changes in variances and covariances with time, and may be used to describe changes in variances with age in the Santa Ines sheep studied.
650 $aGenetic correlation
650 $agrowth traits
650 $aSheep
650 $aCurva de crescimento
650 $aGenética animal
650 $aMelhoramento genético animal
650 $aOvino
650 $aParâmetro genético
653 $aCorrelação genética
653 $aGenetic parameters
653 $aGrowth curve
653 $aLegendre polynomials
653 $aPolinômio ordinário
653 $aPolinômios de Legendre
653 $aRaça Santa Inês
700 1 $aTORRES, R. A.
700 1 $aSOUSA, W. H.
700 1 $aLOBO, R. N. B.
700 1 $aALBUQUERQUE, L. G.
700 1 $aLOPES, P. S.
700 1 $aSANTOS, N. P. S.
700 1 $aBIGNARD, A. B.
773 $tGenetics and Molecular Research, Ribeirão Preto$gv. 15, n. 2, Jun. 2016
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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