Breeding value

Comparison of bivariate and multivariate joint analyses on the selection loss of beef cattle

V. B. Pedrosa, Groeneveld, E., Eler, J. P., and Ferraz, J. B. S., Comparison of bivariate and multivariate joint analyses on the selection loss of beef cattle, vol. 13, pp. 4036-4045, 2014.

For genetic evaluation of beef cattle, univariate or bivariate analyses are often performed as an alternative to decrease the complexity of matrices and mathematical models compared to multivariate analysis, which considers a larger number of joint traits. The use of bivariate methods to calculate genetic predictors may cause bias in the estimation of breeding values and, as a consequence, reclassification of the rank of top-selected sires, resulting in a loss of genetic gain in future generations.

Association of neuropeptide Y and gonadotrophin-releasing hormone receptor gene SNPs with breeding value for growth and egg production traits in Mazandaran native chickens

S. A. Fatemi, Mehrabani-Yeganeh, H., Nejati-Javaremi, A., and Niknafs, S., Association of neuropeptide Y and gonadotrophin-releasing hormone receptor gene SNPs with breeding value for growth and egg production traits in Mazandaran native chickens, vol. 11, pp. 2539-2547, 2012.

Neuropeptide Y (NPY) and gonadotrophin-releasing hormone receptor (GnRHR) are two candidate genes with a wide variety of physiological functions in growth and especially in reproduction processes. We examined the association of one SNP from each of these genes with growth- and egg production-related traits in Mazandaran native chickens. Two hundred and six individuals were genotyped by PCR-RFLP. Marker-trait association analyses were performed using both breeding value and phenotypic information.

Estimation of genetic parameters for growth traits in a breeding program for rainbow trout (Oncorhynchus mykiss) in China

G. Hu, Gu, W., Bai, Q. L., and Wang, B. Q., Estimation of genetic parameters for growth traits in a breeding program for rainbow trout (Oncorhynchus mykiss) in China, vol. 12, pp. 1457-1467, 2013.

Genetic parameters and breeding values for growth traits were estimated in the first and, currently, the only family selective breeding program for rainbow trout (Oncorhynchus mykiss) in China. Genetic and phenotypic data were collected for growth traits from 75 full-sibling families with a 2-generation pedigree. Genetic parameters and breeding values for growth traits of rainbow trout were estimated using the derivative-free restricted maximum likelihood method. The goodness-of-fit of the models was tested using Akaike and Bayesian information criteria.

Evaluation of alternative schemes for recording body weights in meat-type quails by using random regression

L. P. Silva, Ribeiro, J. C., Leite, C. D. S., Sousa, M. F., Bonafé, C. M., Caetano, G. C., Crispim, A. C., and Torres, R. A., Evaluation of alternative schemes for recording body weights in meat-type quails by using random regression, vol. 12, pp. 1533-1539, 2013.

Data from 8759 meat-type quails from the UFV1 strain and 9128 from the UFV2 strain were used to assess the possibility of reducing the number of body weight records in genetic evaluations. The evaluated animals were weighed weekly since hatching to the 6th week of life, with up to 7 records of body weight for each bird.

Estimates of genetic trend for carcass traits in a commercial broiler line

J. L. B. M. Grosso, Balieiro, J. C. C., Eler, J. P., Ferraz, J. B. S., Mattos, E. C., T. Filho, M., Felício, A. M., and Rezende, F. M., Estimates of genetic trend for carcass traits in a commercial broiler line, vol. 8, pp. 97-104, 2009.

Data from the slaughter of 24,001 chickens that were part of a selection program for the production of commercial broilers were used to estimate genetic trend for absolute carcass (CW), breast meat (BRW), and leg (LW) weights, and relative carcass (CY), breast meat (BRY), and leg (LY) weights. The components of (co)variance and breeding values of individuals were obtained by the restricted maximum likelihood method applied to animal models. The relationship matrix was composed of 132,442 birds.

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