Indirect genetic effects on the relationships between production and feeding behaviour traits in growing Duroc pigs

• Published in: Animal (Cambridge, England) Vol. 14; no. 2; pp. 233 - 242
• Main Authors: Herrera-Cáceres, W, Ragab, M, Sánchez, J P
• Format: Journal Article
• Language: English
• Published: England Elsevier Limited 01.02.2020; Cambridge University Press; Elsevier
• Subjects: Age; Animal behavior; Animal models; Animals; Bayes Theorem; Bayesian analysis; Bivariate analysis; Breeding; Breeding and Genetics; Consumption; Conversion ratio; Correlation; Eating - genetics; Estimates; Feed conversion; feed efficiency; Feeding Behavior; Feeding rates; Feeds; Female; Genetic diversity; Genetic effects; genetic parameters; Genetic relationship; genetic selection; Genetic variance; Heritability; Hogs; individual intake system and social interactions; Livestock breeding; Male; Mathematical models; Models, Animal; Models, Statistical; Parameter estimation; Phenotype; Phenotypic variations; Regression analysis; Social behavior; Social factors; Swine; Swine - genetics; Swine - growth & development; Swine - physiology; Thickness; individual intake system and social interactions; genetic parameters; genetic selection; feed efficiency
• ISSN: 1751-7311; 1751-732X
• DOI: 10.1017/S1751731119002179

Performance and feeding behaviour traits in growing pigs could be affected by social interaction effects when animals are raised in group. So, properly knowing the genetic correlations between direct and social interaction effects among performance and feeding behaviour traits could improve the accuracy of the genetic evaluations. Our aim was to explore the role of feeding behaviour traits (FBT) and indirect genetic effects (IGEs) in the genetic evaluations of growing pigs. Thus, genetic parameters were estimated for production traits (PT): average daily gain, average daily feed consumption, feed conversion ratio and backfat thickness; as well as for FBT: average daily feeding rate, average daily feeding frequency, average daily occupation time and average daily time between consecutive visits. Traits were recorded in 1144 Duroc pigs during the fattening period. Two bivariate models were fitted: classic animal model and an animal model fitting IGE. Estimations were done following Bayesian procedures. Heritability estimates obtained with classic animal model for all studied traits were medium-high. The additional heritable variation captured by IGE supposed that the ratios of total genetic variance to phenotypic variance (T2) were higher than the heritability estimates obtained with the classic model, except for occupation time trait, when a lower value (0.20 ± 0.19) was estimated. This is due to a high and negative correlation between IGE and direct genetic effects (DGEs) of this particular trait (-0.78 ± 0.27). Results from classic animal model do not evidence a clear role of FBT to improve the accuracy of breeding value predictions for PT; only average daily feeding rate seems to show a positive correlation (around 0.50 to 0.60) with average daily gain, average daily feed consumption and backfat thickness. However, when IGE model was fitted, the number of estimates of genetic correlations between FBT and PT showing a relevant magnitude increased, generally for the correlations between IGE of FBT and DGE of PT; or particularly for the correlations between IGE of average daily feeding frequency, and the IGE of all the PT, except average daily gain. Thus, in evaluations using the animal model with IGE fitted, the inclusion of FBT could aid the improvement of the accuracy of breeding value predictions for PT. This is a consequence of the improved genetic relationships between traits that can be fitted when considering such models.