Multivariate analysis of litter size for multiple parities with production traits in pigs: I. Bayesian variance component estimation.
A total of 66,620 records from the first six parities for number of piglets born alive (NBA) from 20,120 Landrace sows and 24,426 records for weight (WT) and backfat thickness (BT) at 175 d of age were analyzed to estimate genetic parameters. The pedigree consisted of 47,186 individuals, including 392 sires and 5,394 dams. Estimates were based on marginal posterior distribution of the genetic parameters obtained using Bayesian inference implemented via the Gibbs sampling procedure with a Data Augmentation step. The posterior means and posterior standard deviation (PSD) for heritability of NBA ranged from 0.064 (PSD 0.005) in the first parity to 0.146 (PSD 0.019) in the sixth parity, always increasing with the order of the parity. The posterior means for genetic correlations of litter size between adjacent parities were, in most cases, greater than 0.80. However, genetic correlation were much lower between nonadjacent parities. For example, the genetic correlation was 0.534 (PSD 0.061) between the fourth and the sixth parity for NBA. The posterior means of heritability for WT and BT were 0.229 (PSD 0.018) and 0.350 (PSD 0.019), respectively. Posterior mean for genetic correlation between WT and BT was 0.339 (PSD 0.044). The posterior means for genetic correlation between production (WT and BT) and reproduction traits (NBA in different parities) were close to zero in most cases. Results from this study suggest that different parities should be considered as different traits. Moreover, selection for growth and backfat should result in no or very little correlated response in litter size.
Noguera
J L
JL
Area de Producció Animal, Centre UdL-IRTA, Lleida, Spain. joseluis.noguera@irta.es
Varona
L
L
Babot
D
D
Estany
J
J
D000273:Adipose Tissue; D000818:Animals; D001499:Bayes Theorem; D001823:Body Composition; D001835:Body Weight / Q000235:genetics*; D005260:Female; D008098:Litter Size / Q000235:genetics*; D008297:Male; D015999:Multivariate Analysis; D010298:Parity / Q000235:genetics* / Q000502:physiology; D011247:Pregnancy; D013552:Swine / Q000235:genetics* / Q000502:physiology