Response to selection for litter size in Danish Landrace pigs: a Bayesian analysis

A replicated selection experiment aimed at increasing litter size (total number of pigs born per litter) in Danish Landrace pigs was conducted from 1984 to 1991. The experiment included two selection and two control lines. In each generation, 30 and 14 first litters were produced in selection and control lines, respectively, and dams produced two litters. Each replicate, consisting of one selection and one control line, was founded from 60 families chosen randomly from the population at large. Family selection was practiced, and the criterion was the predicted breeding value for litter size computed using a repeatability animal model, and taking into account all available information. The data consisted of 947 records from 523 dams (424 dams had two litters) representing five cycles of selection of increased litter size. Data were analyzed from a Bayesian perspective, based on marginal posterior distributions of genetic parameters of interest. Marginalization was achieved using Gibbs sampling, with a single chain length of 1 205 000. After discarding the first 5 000 iterations, a sample was drawn every ten iterations, so 120 000 samples in total were saved. Densities were estimated and plotted, and summary statistics were computed from the estimated densities. The posterior means (± standard error) of heritability and repeatability were 0.22 ± 0.06 and 0.32 ± 0.05, respectively. These point estimates of genetic parameters were within the range of literature values, although on the high side. The posterior mean (± standard error) of genetic response to selection, defined as the difference between the mean breeding values of the selected lines and that of the base population, was 1.37 ± 0.43 pigs after five cycles of selection. The regression (through the origin) of breeding values in the selected lines on generation was 0.25 ± 0.08 pigs. Several informative priors constructed from information obtained with field data in this population were used to examine their influence on inferences. The priors were influential because of the relatively small scale of the experiment. An analysis excluding data from one of the control lines gave smaller genetic variance and heritability, and a smaller response to selection. However, it appears that selection for litter size is effective, but that the true rate of response is probably smaller than data from this experiment suggest.

[1]  K. Meyer,et al.  DFREML—A Set of Programs to Estimate Variance Components Under an Individual Animal Model , 1988 .

[2]  H. D. Patterson,et al.  Recovery of inter-block information when block sizes are unequal , 1971 .

[3]  Charles Smith,et al.  Genetic improvement of litter size in pigs , 1987 .

[4]  C. Haley,et al.  Selection for litter size in the pig. , 1988 .

[5]  W. G. Hill Order statistics of correlated variables and implications in genetic selection programmes. , 1976, Biometrics.

[6]  R. Johnson,et al.  Direct responses to selection for increased litter size, decreased age at puberty, or random selection following selection for ovulation rate in swine. , 1991, Journal of animal science.

[7]  D. Sorensen,et al.  The use of the relationship matrix to account for genetic drift variance in the analysis of genetic experiments , 1983, Theoretical and Applied Genetics.

[8]  D. Gianola,et al.  Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs , 1994, Genetics Selection Evolution.

[9]  Adrian F. M. Smith,et al.  Sampling-Based Approaches to Calculating Marginal Densities , 1990 .

[10]  B. Kennedy,et al.  Use of Mixed Model Methodology in Analysis of Designed Experiments , 1990 .

[11]  J. Berger Statistical Decision Theory and Bayesian Analysis , 1988 .

[12]  M. Toro,et al.  Inbreeding and family index selection for prolificacy in pigs , 1988 .

[13]  D. Gianola,et al.  Marginal inferences about variance components in a mixed linear model using Gibbs sampling , 1993, Genetics Selection Evolution.

[14]  G. L. Bennett,et al.  Expected relative responses to selection for alternative measures of life cycle economic efficiency of pork production. , 1983, Journal of animal science.

[15]  G. L. Bennett,et al.  Simulation of Genetic Changes in Life Cycle Efficiency of Pork Production, II. Effects of Components on Efficiency , 1983 .

[16]  R. E. Nelson,et al.  Effects of postnatal maternal environment on reproduction of gilts. , 1976, Journal of animal science.

[17]  D Gianola,et al.  Bayesian analysis of genetic change due to selection using Gibbs sampling , 1994, Genetics Selection Evolution.

[18]  J. Gruand,et al.  Héritabilité réalisée pour la taille de portée dans la sélection de truies dites « hyperprolifiques » , 1987, Génétique, sélection, évolution.

[19]  C. Legault Selection of breeds, strains and individual pigs for prolificacy. , 2020, Journal of reproduction and fertility. Supplement.

[20]  J. Rutledge Fraternity size and swine reproduction. I. Effect on fecundity of gilts. , 1980, Journal of animal science.

[21]  C. D. Kemp,et al.  Density Estimation for Statistics and Data Analysis , 1987 .