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Full-Text Articles in Medicine and Health Sciences
Heritability And Genetic Correlations Between Weight Gains In Murrah, Mediterranean, And Jaffarabadi Buffaloes Raised In Brazil, Employing Bayesian Inference, Marcos Paulo Gonçalves De Rezende, Paulo Luiz Souza Carneiro, Johnny Iglesias Mendes Araujo, André Campêlo Araujo, Barbara Machado Campos, Riccardo Moretti, Leonardo Gomes Sitorsky, Wéverton José Lima Fonseca, Riccardo Bozzi, Carlos Henrique Mendes Malhado
Heritability And Genetic Correlations Between Weight Gains In Murrah, Mediterranean, And Jaffarabadi Buffaloes Raised In Brazil, Employing Bayesian Inference, Marcos Paulo Gonçalves De Rezende, Paulo Luiz Souza Carneiro, Johnny Iglesias Mendes Araujo, André Campêlo Araujo, Barbara Machado Campos, Riccardo Moretti, Leonardo Gomes Sitorsky, Wéverton José Lima Fonseca, Riccardo Bozzi, Carlos Henrique Mendes Malhado
Turkish Journal of Veterinary & Animal Sciences
The request for products of buffalo origin (beef and milk) has been growing throughout the years, and to meet this demand it is necessary to obtain animals with high levels of performance guaranteed through generations. Thus, it is of paramount importance to know the heritability of the desired traits in order to genetically improve the populations. The objective was to estimate the genetic parameters for weight gain from birth to weaning (BWGW) and from weaning to 12 months of age (WGW12) of Murrah (4675), Mediterranean (405), and Jaffarabadi (766) buffaloes raised in Brazil. Bayesian inference with the bi-trait model was …
Estimation Of Genetic Parameters For Weaning Weight Of Awassi Lambs By Using Classical And Bayesian Methods, Adi̇le Tatliyer, Si̇nan Baş
Estimation Of Genetic Parameters For Weaning Weight Of Awassi Lambs By Using Classical And Bayesian Methods, Adi̇le Tatliyer, Si̇nan Baş
Turkish Journal of Veterinary & Animal Sciences
The aim of this study was to estimate variance components and genetic parameters with six different animal models and two approaches (Bayesian and classical) on weaning weight (WW) of Awassi lambs. For this purpose, the data were obtained from Sheep and Goat Breeders' Associations of Osmaniye in Turkey. The data of 4971 progenies (from 80 rams and 1917 ewes) born between 2012 and 2016 raised under traditional conditions were evaluated. Year/season, sex, birth type, dam age, and flock size were fixed effects. All these effects except birth type were found statistically significant (P < 0.01). The overall least squares mean of weaning weight (WW) was obtained as 17.93 ± 0.05 kg. Variance components and genetic parameters were estimated by MCMC algorithms with R (for Bayesian approach) and by REML procedure with MTDFREML (for classical approach) programs. The Akaike information criterion (AIC), the log likelihood function (-2logL), and deviance information criterion (DIC) values were taken as criteria to choose the best model. Direct heritabilities of WW ranged from 0.20 to 0.35 across the models. The genetic correlation between additive genetic effect and maternal effect ranged from 0.00 to 1.00. The results were found similar across methodologies and maternal additive genetic variance resulted in lower than direct additive genetic variance. According to this study, both approaches are suitable for estimation of genetic parameters in the case of low sample size. However, the Bayesian approach, becoming increasingly popular, may be feasible to estimate variancecovariance components and genetic parameters.
Evaluation Of Animal Models For Genetic Analysis Of Growth Performance In Landlly Pigs, Snehasmita Panda, Gyanendra Kumar Gaur, Nihar Ranjan Sahoo, Sheikh Firdous Ahmad, Pruthviraj Devamma Ramachandrappa, Panch Kishor Bharti
Evaluation Of Animal Models For Genetic Analysis Of Growth Performance In Landlly Pigs, Snehasmita Panda, Gyanendra Kumar Gaur, Nihar Ranjan Sahoo, Sheikh Firdous Ahmad, Pruthviraj Devamma Ramachandrappa, Panch Kishor Bharti
Turkish Journal of Veterinary & Animal Sciences
Selection of the most appropriate animal model for the estimation of genetic parameters for body weight was carried out using restricted maximum likelihood (REML) procedure at birth and thereafter at 3, 6, and 8 weeks of age in Landlly pigs. Six different models were fitted for each trait; by inclusion or exclusion of maternal additive genetic effect, maternal permanent environmental effect, and covariance between direct and maternal additive genetic effects. Records on 1968 piglets, born in 4 parities of 131 gilts/sows, sired by 68 boars during a period of 5 years from 2014 to 2018 were used. In order to …