Abstract

Direct and maternal genetic heritabilities and their correlations with body weight at 5 stages in the life span of purebred Berkshire pigs, from birth to harvest, were estimated to scrutinize body weight development with the records for 5,088 purebred Berkshire pigs in a Korean farm, using the REML based on an animal model. Body weights were measured at birth (Birth), at weaning (Weaning: mean 22.9 d), at the beginning of a performance test (On: mean 72.7 d), at the end of a performance test (Off: mean 152.4 d), and at harvest (Finish: mean 174.3 d). Ordinary polynomials and Legendre with order 1, 2, and 3 were adopted to adjust body weight with age in the multivariate animal models. Legendre with order 3 fitted best concerning prediction error deviation (PED) and yielded the lowest AIC for multivariate analysis of longitudinal body weights. Direct genetic correlations between body weight at Birth and body weight at Weaning, On, Off, and Finish were 0.48, 0.36, 0.10, and 0.10, respectively. The estimated maternal genetic correlations of body weight at Finish with body weight at Birth, Weaning, On, and Off were 0.39, 0.49, 0.65, and 0.90, respectively. Direct genetic heritabilities progressively increased from birth to harvest and were 0.09, 0.11, 0.20, 0.31, and 0.43 for body weight at Birth, Weaning, On, Off, and Finish, respectively. Maternal genetic heritabilities generally decreased and were 0.26, 0.34, 0.15, 0.10, and 0.10 for body weight at Birth, Weaning, On, Off, and Finish, respectively. As pigs age, maternal genetic effects on growth are reduced and pigs begin to rely more on the expression of their own genes. Although maternal genetic effects on body weight may not be large, they are sustained through life.

Highlights

  • Pig productivity traits are analyzed to predict individual breeding values

  • This study aimed to examine the models to characterize pre- and post-weaning pig growth up to harvest in the context of direct and maternal genetic effects on body weight

  • The large standard errors obtained by Tomiyama et al (2010) were possibly due to the relatively small data set of Berkshire pigs used in their study (Meyer, 1992)

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Summary

Introduction

Pig productivity traits are analyzed to predict individual breeding values. High-producing pigs from which progeny are selected as replacements may be identified in seedstock farms. Accurate adjustments need to be made for such factors as parity of the dam, and age at weighing to ensure the most accurate ranking of pigs, since age adjustment is a way to make fairer comparisons between groups with different age distributions. Pigs grow according to a growth curve, in a non-linear manner. The usual growth curve has a sigmoidal-shape with a slow start, an exponential phase and a plateau phase. Researches on pre-adjustment of age in body weight were carried out by numerous scientists. Bereskin and Norton (1982) calculated multiplicative adjustment factors for adjusting

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