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      Estimação de parâmetros genéticos em suínos usando Amostrador de Gibbs Translated title: Estimation of genetic parameters for growth and backfat thickness of Large White pigs using the Gibbs Sampler

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          Abstract

          Um total de 38.865 registros de animais da raça Large White foi usado para estimar componentes de co-variância e parâmetros genéticos das características idade ao atingir 100 kg de peso vivo (IDA) e espessura de toucinho ajustada para 100 kg de peso vivo (ET), em análises bicaracterísticas. Para obtenção dos componentes de co-variância, foi utilizado o Amostrador de Gibbs por meio do programa MTGSAM. O modelo misto utilizado continha efeito fixo de grupo contemporâneo e os seguintes efeitos aleatórios: efeito genético aditivo direto, efeito genético aditivo materno, efeito comum de leitegada e efeito residual. As médias das estimativas de herdabilidade aditivas diretas foram 0,33 e 0,44 para IDA e ET, respectivamente. As médias das estimativas do efeito comum de leitegada foram 0,09 e 0,02 para IDA e ET, respectivamente. A estimativa de correlação genética aditiva entre as características foi próxima de zero (-0,015). As herdabilidades obtidas para as características de desempenho avaliadas indicam que ganhos genéticos satisfatórios podem ser obtidos no melhoramento de suínos da raça Large White para essas características e que a seleção simultânea para ambas as características pode ser realizada, uma vez que é baixa a correlação genética aditiva direta.

          Translated abstract

          Data consisting of 38,865 records of Large White pigs were used to estimate genetic parameters for days to 100 kg (DAYS) and backfat thickness adjusted to 100 kg (BF). Covariance components were estimated by a bivariate mixed model including the fixed effect of contemporary group and the direct and maternal additive genetic, common litter and residual random effects using the Gibbs Sampling algorithm of the MTGSAM program. Estimates of direct and common litter effects for DAYS and BF were 0.33 and 0.44 and 0.09 and 0.02, respectively. Additive genetic correlation between DAYS and BF was close to zero (-0.015). The heritability estimates indicate that genetic gains may be obtained by selection and that both traits should be considered in a breeding program for the Large White breed.

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          Multiple-trait Gibbs sampler for animal models: flexible programs for Bayesian and likelihood-based (co)variance component inference.

          A set of FORTRAN programs to implement a multiple-trait Gibbs sampling algorithm for (co)variance component inference in animal models (MTGSAM) was developed. The MTGSAM programs are available to the public. The programs support models with correlated genetic effects and arbitrary numbers of covariates, fixed effects, and independent random effects for each trait. Any combination of missing traits is allowed. The programs were used to estimate variance components for 50 replicates of simulated data. Each replicate consisted of 50 animals of each sex in each of four generations, for 400 animals in each replicate for two traits. For MTGSAM, informative prior distributions for variance components were inverted Wishart random variables with 10 df and means equal to the simulation parameters. A total of 15,000 Gibbs sampling rounds were completed for each replicate, with 2,000 rounds discarded for burn-in. For multiple-trait derivative free restricted maximum likelihood (MTDFREML), starting values for the variance components were the simulation parameters. Averages of posterior mean of variance components estimated using MTGSAM with informative and flat prior distributions for variance components and REML estimates obtained using MTDFREML indicated that all three methods were empirically unbiased. Correlations between estimates from MTGSAM using flat priors and MTDFREML all exceeded .99.
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            Genetic parameter estimates from joint evaluation of purebreds and crossbreds in swine using the crossbred model.

            Records on lifetime daily gain and backfat from two purebred lines A (n = 6,022), B (n = 24,170), and their reciprocal crosses C (n = 6,135) were used to estimate genetic parameters using within-line and terminal-cross models. The models that were fitted included fixed (contemporary group and sex), random additive A and(or) random additive B, random dominance, and random litter effects. Model for purebreds included only one additive effect, whereas the model for crossbreds included two additive effects. End weight was included as a covariable for backfat. Heritability estimates for lifetime daily gain were 0.26, 0.28, and 0.23 with within-line models for lines A, B, and C, respectively, and 0.26, 0.30, and 0.27 with the crossbred model, respectively. Heritability estimates for backfat were 0.52, 0.35, and 0.29 with within-line models for lines A, B, and C, respectively, and 0.51, 0.38, and 0.29 with the crossbred model, respectively. The genetic correlations between purebreds and crossbreds (r(pc)) for lifetime daily gain were 0.99 (A-C) and 0.62 (B-C); for backfat the correlations were 0.32 (A-C) and 0.70 (B-C). The amount of dominance variance from the crossbred model expressed as a proportion of phenotypic variance for lifetime daily gain was 0.39, 0.16, and 0.29 for lines A, B, and C respectively. Dominance variance for backfat was estimated as 0. A joint evaluation of purebreds and crossbreds would be most efficient with the crossbred model. The dominance variation should be accounted for lifetime daily gain.
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              Marginal inferences about variance components in a mixed linear model using Gibbs sampling

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                Author and article information

                Journal
                rbz
                Revista Brasileira de Zootecnia
                R. Bras. Zootec.
                Sociedade Brasileira de Zootecnia (Viçosa, MG, Brazil )
                1516-3598
                1806-9290
                July 2008
                : 37
                : 7
                : 1200-1206
                Affiliations
                [02] Viçosa MG orgnameUFV orgdiv1Departamento de Zootecnia
                [05] Viçosa MG orgnameUFV
                [03] Viçosa MG orgnameUFV orgdiv1Departamento de Informática
                [04] Viçosa MG orgnameUFV orgdiv1Departamento de Zootecnia
                [01] Viçosa MG orgnameUFV
                Article
                S1516-35982008000700009 S1516-3598(08)03700700009
                5efbf6ec-44c8-43ec-bd39-d4fd13044f74

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 03 January 2008
                : 11 May 2007
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 25, Pages: 7
                Product

                SciELO Brazil

                Categories
                Melhoramento, Genética e Reprodução

                heritability,intervalo de alta densidade,idade,herdabilidade,espessura de toucinho,desempenho,análise bayesiana,performance,high density interval,Bayesian analysis,backfat thickness,age

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