919 resultados para Logit fixed effect model


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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Com o objetivo de verificar a existência da interação genótipo x ambiente, sob a forma de heterogeneidade de variâncias para a produção de leite na espécie bubalina e o seu impacto na avaliação genética dos animais, utilizando a inferência Bayesiana por meio de Amostrador de Gibbs, foram utilizados 5.484 registros de produção de leite referentes à produções de 2.994 búfalas predominantemente Murrah, filhas de 150 reprodutores, acasalados com 1130 matrizes, cujos partos ocorreram entre os anos de 1974 e 2004. Os registros foram provenientes do Programa de Melhoramento Genético dos Bubalinos (PROMEBUL) com a adição de registros provenientes do rebanho da EMBRAPA Amazônia Oriental -EAO, localizada em Belém, Pará. Foram estabelecidas classes de rebanho-ano de parto e de acordo com o desvio padrão de cada classe, os registros de produção de leite foram classificados em classes de alto e baixo desvio-padrão fenotípico. Posteriormente, os dados foram analisados desconsiderando e considerando as classes de desvio-padrão. O modelo utilizado empregou os efeitos fixos referentes às classes de rebanho-ano, mês de parto e covariáveis idade da fêmea ao parto e duração da lactação, além do efeito aleatório de animal, ambiente permanente e ambiente temporário. Para os efeitos fixos, foi assumido distribuição à priori uniforme e para os componentes de (co)variâncias foram assumidas distribuições priori qui-quadrado inversa e Wishart invertida. As médias observadas e desvio-padrão para produção de leite nas classes de alto e baixo desvio-padrão e em análise geral, foram iguais a 1870,21±758,78, 1900,50±587,76 e 1885,48±677,98, respectivamente. As médias posteriores para os componentes de variâncias foram maiores na classe de alto desvio-padrão. A herdabilidade obtida na classe de alto desvio-padrão foi próxima do valor observado na análise geral e inferior ao valor encontrado na classe de baixo desvio-padrão fenotípico. A correlação genética para produção de leite entre as classes de desvio-padrão foi igual a 0,58. As correlações de Spearman entre os valores genéticos para a produção de leite obtidos em análise geral com os valores obtidos nas classes de alto e baixo desvio padrão foram iguais a 0,94 e 0,93, respectivamente, para todos os reprodutores. Para uma amostra dos 10 melhores reprodutores, as mesmas correlações foram iguais a 0,94 e 0,47, respectivamente. Tais resultados revelam presença de heterogeneidade de variâncias entre rebanhos e esta heterogeneidade de variâncias é resultante de fatores ambientais, que podem levar a uma classificação errônea dos melhores reprodutores geneticamente para a produção leite.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The objective of the study was to estimate heritability for calving interval (CI) and age at first calving (AFC) and also calculate repeatability for CI in buffaloes using Bayesian inference. The Brazilian Buffaloes Genetic Improvement Program provided the database. Data consists on information from 628 females and four different herds, born between 1980 and 2003. In order to estimate the variance, univariate analyses were performed employing Gibbs sampler procedure included in the MTGSAM software. The model for CI included the random effects direct additive and permanent environment factors, and the fixed effects of contemporary groups and calving orders. The model for AFC included the direct additive random effect and contemporary groups as a fixed effect. The convergence diagnosis was obtained using Geweke that was implemented through the Bayesian Output Analysis package in R software. The estimated averages were 433.2 days and 36.7months for CI and AFC, respectively. The means, medians and modes for the calculated heritability coefficients were similar. The heritability coefficients were 0.10 and 0.42 for CI and AFC respectively, with a posteriori marginal density that follows a normal distribution for both traits. The repeatability for CI was 0.13. The low heritability estimated for CI indicates that the variation in this trait is, to a large extent, influenced by environmental factors such as herd management policies. The age at first calving has clear potential for yield improvement through direct selection in these animals.

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The aim of this study was to estimate genetic, environmental and phenotypic correlation between birth weight (BW) and weight at 205 days age (W205), BW and weight at 365 days age (W365) and W205-W365, using Bayesian inference. The Brazilian Program for Genetic Improvement of Buffaloes provided the data that included 3,883 observations from Mediterranean breed buffaloes. With the purpose to estimate variance and covariance, bivariate analyses were performed using Gibbs sampler that is included in the MTGSAM software. The model for BW, W205 and W365 included additive direct and maternal genetic random effects, maternal environmental random effect and contemporary group as fixed effect. The convergence diagnosis was achieved using Geweke, a method that uses an algorithm implemented in R software through the package Bayesian Output Analysis. The calculated direct genetic correlations were 0.34 (BW-W205), 0.25 (BW-W365) and 0.74 (W205-W365). The environmental correlations were 0.12, 0.11 and 0.72 between BW-W205, BW-W365 and W205-W365, respectively. The phenotypic correlations were low for BW-W205 (0.01) and BW-W365 (0.04), differently than the obtained for W205-W365 with a value of 0.67. The results indicate that BW trait have low genetic, environmental and phenotypic association with the two others traits. The genetic correlation between W205 and W365 was high and suggests that the selection for weight at around 205 days could be beneficial to accelerate the genetic gain.

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Quantitative analysis of growth genetic parameters is not available for many breeds of buffaloes making selection and breeding decisions an empirical process that lacks robustness. The objective of this study was to estimate heritability for birth weight (BW), weight at 205 days (W205) and 365 days (W365) of age using Bayesian inference. The Brazilian Program for Genetic Improvement of Buffaloes provided the data. For the traits BW, W205 and W365 of Brazilian Mediterranean buffaloes 5169, 3792 and 3883 observations have been employed for the analysis, respectively. In order to obtain the estimates of variance, univariate analyses were conducted using the Gibbs sampler included in the MTGSAM software. The model for BW, W205 and W365 included additive direct and maternal genetic random effects, random maternal permanent environmental effect and contemporary group that was treated as a fixed effect. The convergence diagnosis was performed employing Geweke, a method that uses an algorithm from the Bayesian Output Analysis package that was implemented using R software environment. The average values for weight traits were 37.6 +/- 4.7 kg for BW, 192.7 +/- 40.3 kg for W205 and 298.6 +/- 67.4 kg for W365. The heritability posterior distributions for direct and maternal effects were symmetric and close to those expected in a normal distribution. Direct heritability estimates obtained using the modes were 0.30 (BW), 0.52 (W205) and 0.54 (W365). The maternal heritability coefficient estimates were 0.31, 0.19 and 0.21 for BW, W205 and W365, respectively. Our data suggests that all growth traits and mainly W205 and W365, have clear potential for yield improvement through direct genetic selection.

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Pós-graduação em Zootecnia - FCAV

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This study aimed to evaluate the potential for milk production (MP), lactation length (LL) and calving interval (CI), analyze the environmental component affecting these traits, and to estimate the heritability and repeatability for milk production in crossbreds of Murrah buffalo cows in the state of Alagoas, Brazil. Data was composed of 487 observations of MP from 136 lactations recorded between the years of 2000 and 2010. In the analysis of variance for PL, the fixed effects were season (1- October to March, 2 -April to September) and year of the beginning of lactation, calving order and the LL (covariate). For the analysis of LL only the fixed effect of year of the beginning of lactation was included, and finally for the CI analysis, year of the beginning of lactation and calving order. The estimates of covariance were obtained using unicharacteristic analysis by Bayesian inference method, applyingan animal model, through Gibbs sampling. The additive genetic, permanent environment and residual effects were included as random effects in the model. The averages (sd) of MP, LL and CI were 2,218.03 kg (408.18), 282.59 days (39.48) e 422.49 days (91.05), respectively. All the effects included in the models were important (P<0.01). The estimates of heritability and repeatability for PL were 0.29 and 0.69, respectively. The results suggest that there is a moderate genetic variability among individuals for PL, indicating the possibility to obtain gain using selection.

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Pós-graduação em Genética e Melhoramento Animal - FCAV