1. Exploring the use of residual variance for uniformity of body weight in meat quail lines using Bayesian inference.
- Author
-
Silva AA, Silva DA, Pereira CRM, Abreu CP, Caetano G, Paiva JT, Silva FF, Lopes PS, and Veroneze R
- Subjects
- Animals, Bayes Theorem, Body Weight genetics, Coturnix genetics, Female, Male, Meat, Chickens, Quail genetics
- Abstract
1. Uniformity in animal products is an important aspect of the production system. Several studies have reported estimates of genetics on residual variance in different species, indicating that it could be exploited to improve uniformity by selection. Nevertheless, there are no reports about the possibilities of such a selection strategy in meat quail.2. Records of hatching weight (HW) and body weight at 42 days (W42) of female and male birds from two meat quail lines (UFV1 and UFV2) were analysed. A three-step genetic evaluation was used to investigate the effect of genetic variation on residual variance of HW and W42 in both lines. In Step 1, a single-trait model was fitted to the data. In Step 2, log-transformed squared estimated residuals (ln(ê
2 )) were evaluated for these traits. In Step 3, a multi-trait analysis was performed to estimate the genetic correlation between the additive genetic effects for HW, W42, and their respective ln(ê2 ).3. The heritability estimates ranged from 0.12 to 0.23 for HW and from 0.22 to 0.35 for W42. The estimated heritabilities for the residual part were low and ranged from 0.0003 to 0.02 for both traits, and the genetic coefficient of variation residual variance estimates ranged from 0.31 to 0.42 for HW and from 0.09 to 0.25 for W42. Genetic correlations between the means (HW and W42) and ln(ê2 ) values were both positive and did not differ from zero, indicating no association between mean and ln(ê2 ).4. In conclusion, the uniformity of HW and W42 could be improved by selecting for lower residual variance in both meat quail lines, but the accuracy of selection may be low due to low heritability for uniformity, mainly for W42.- Published
- 2021
- Full Text
- View/download PDF