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A study of heterogeneity of environmental variance for slaughter weight in pigs

  • N. Ibáñez-Escriche (a1) (a2), L. Varona (a1), D. Sorensen (a3) and J. L. Noguera (a1)

Abstract

This work presents an analysis of heterogeneity of environmental variance for slaughter weight (175 days) in pigs. This heterogeneity is associated with systematic and additive genetic effects. The model also postulates the presence of additive genetic effects affecting the mean and environmental variance. The study reveals the presence of genetic variation at the level of the mean and the variance, but an absence of correlation, or a small negative correlation, between both types of additive genetic effects. In addition, we show that both, the additive genetic effects on the mean and those on environmental variance have an important influence upon the future economic performance of selected individuals.

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Corresponding author

Genètica i Millora Animal - IRTA, 25198 Lleida, Spain. E-mail: noelia.ibañez@irta.es

References

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Damgaard, LH, Rydhmer, L, Løvendahl, P, Grandinson, K 2003. Genetic parameters for within-litter variation in piglet birth weight and change in within-litter variation during suckling. Journal of Animal Science 81, 604610.
Foulley, JL, Quaas, RL 1995. Heterogeneous variances in Gaussian linear mixed models. Genetic Selection Evolution 27, 211228.
Garrick, DJ, Van Vleck, LD 1987. Aspects of selection for performance in several environments with heterogeneous variances. Journal of Animal Science 65, 409421.
Garrick, DJ, Pollak, EJ, Quaas, RL 1989. Variance heterogeneity in direct and maternal weight traits by sex and percent purebred for Simmental sired calves. Journal of Animal Science 67, 25152528.
Gelman, A, Rubin, DB 1992. Inference from iterative simulation using multiple sequences. Statistical Science 7, 457511.
Gelman, A, Meng, XL, Stern, H 1996. Posterior predictive assessment of model fitness via realized discrepancies (with discussion). Statistica Sinica 6, 733807.
Gelman, A, Carlin, JB, Stern, HS, Rubin, DB 2004. Bayesian data analysis, second edition. Chapman and Hall, New York.
Geman, S, Geman, D 1984. Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence 6, 721741.
Gutiérrez, JP, Nieto, B, Piqueras, P, Ibáñez, N, Salgado, C 2006. Genetic parameters for canalisation analysis of litter size and litter weight traits at birth in mice. Genetic Selection Evolution 38, 445462.
Henderson, CR 1975. Best linear unbiased estimation and prediction under a selection model. Biometrics 31, 423447.
Hennessy, DA 2005. Slaughterhouse rules: animal uniformity and regulating for food safety in meat packing. American Journal of Agricultural Economics 87, 600.
Hill, WG 1984. On selection among groups with heterogeneous variance. Animal Production 39, 473477.
Huby, M, Gogué, J, Maignel, L, Bidanel, JP 2003. Corrélations génétiques entre les caractéristiques numériques et pondérales de la portée, la variabilité du poids des porcelets et leur survie entre la naissance et le sevrage. Journées Recherche Porcine 35, 293300.
Jaffrezic, F, White, IMS, Thompson, R, Hill, WG 2000. A link function approach to model heterogeneity of residuals variances over time in lactation curve analyses. Journal of Dairy Science 83, 10891093.
Kizilkaya, K, Tempelman, RJ 2005. A general approach to mixed effects modelling of residual variances in generalized linear mixed models. Genetic Selection Evolution 37, 3156.
Noguera, JL, Pomar, J 2007. e-BDporc®: système électronique espagnol d’aide à la gestion des élevages. Journées Recherche Porcine 39, 232238.
Ros, M, Sorensen, D, Waagepetersen, R, Dupont-Nivet, M, San Cristobal, M, Bonnet, J-C, Mallard, J 2004. Evidence for genetic control of adult weight plasticity in the snail helix aspersa. Genetics 168, 20892097.
Rowe, SJ, White, IMS, Avendano, S, Hill, WG 2006. Genetic heterogeneity of residual variance in broiler chickens. Genetic Selection Evolution 38, 617635.
San Cristobal-Gaudy, M, Elsen, JM, Bodin, L, Chevalet, C 1998. Prediction of response to a selection for canalisation of a continuous trait in animal breeding. Genetic Selection Evolution 30, 423451.
San Cristobal-Gaudy, M, Bodin, L, Elsen, JM, Chevalet, C 2001. Genetic components of litter size variability in sheep. Genetics Selection Evolution 33, 249271.
See, MT 1998. Heterogeneity of (co)variance among herds for backfat measures of swine. Journal of Animal Science 76, 25682574.
Sorensen, D, Waagepetersen, R 2003. Normal linear models with genetically structured variance heterogeneity: a case study. Genetical Research 82, 207222.
Spiegelhalter, DJ, Best, NG, Carlin, BP, Van der Linde, A 2002. Bayesian measures of model complexity and fit (with discussion). Journal of the Royal Statistical Society. Series B 64, 583639.
Wang, CS, Rutledge, JJ, Gianola, D 1994. Marginal inference about variance components in a mixed model using Gibbs sampling. Genetic Selection Evolution 26, 91115.
Wellock, IJ, Emmans, GC, Kyriazakis, I 2004. Describing and predicting potential growth in the pig. Animal Science 78, 379388.

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