Purebred-crossbred genetic parameters for reproductive traits in swine

Author:

Kramer Luke M1,Wolc Anna12,Esfandyari Hadi134ORCID,Thekkoot Dinesh M5,Zhang Chunyan5,Kemp Robert A5,Plastow Graham6ORCID,Dekkers Jack C M1

Affiliation:

1. Department of Animal Science, Iowa State University, Ames IA 50011, USA

2. Hy-Line International, 2583 240th Street, Dallas Center, IA 50063, USA

3. Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, Tjele, Denmark

4. TYR, Norwegian beef cattle organization, 2315, Hamar, Norway

5. Genesus Inc., Oakville, MB, R0H 0Y0, Canada

6. Department of Agricultural, Food, and Nutritional Science, Livestock Gentec, University of Alberta, Edmonton AB, T6G 2P5, Canada

Abstract

Abstract For swine breeding programs, testing and selection programs are usually within purebred (PB) populations located in nucleus units that are generally managed differently and tend to have a higher health level than the commercial herds in which the crossbred (CB) descendants of these nucleus animals are expected to perform. This approach assumes that PB animals selected in the nucleus herd will have CB progeny that have superior performance at the commercial level. There is clear evidence that this may not be the case for all traits of economic importance and, thus, including data collected at the commercial herd level may increase the accuracy of selection for commercial CB performance at the nucleus level. The goal for this study was to estimate genetic parameters for five maternal reproductive traits between two PB maternal nucleus populations (Landrace and Yorkshire) and their CB offspring: Total Number Born (TNB), Number Born Alive (NBA), Number Born Alive > 1 kg (NBA > 1 kg), Total Number Weaned (TNW), and Litter Weight at Weaning (LWW). Estimates were based on single-step GBLUP by analyzing any two combinations of a PB and the CB population, and by analyzing all three populations jointly. The genomic relationship matrix between the three populations was generated by using within-population allele frequencies for relationships within a population, and across-population allele frequencies for relationships of the CB with the PB animals. Utilization of metafounders for the two PB populations had no effect on parameter estimates, so the two PB populations were assumed to be genetically unrelated. Joint analysis of two (one PB plus CB) vs. three (both PB and CB) populations did not impact estimates of heritability, additive genetic variance, and genetic correlations. Heritabilities were generally similar between the PB and CB populations, except for LWW and TNW, for which PB populations had about four times larger estimates than CB. Purebred-crossbred genetic correlations (rpc) were larger for Landrace than for Yorkshire, except for NBA > 1 kg. These estimates of rpc indicate that there is potential to improve selection of PB animals for CB performance by including CB information for all traits in the Yorkshire population, but that noticeable additional gains may only occur for NBA > 1 kg and TNW in the Landrace population.

Publisher

Oxford University Press (OUP)

Subject

Genetics,Animal Science and Zoology,General Medicine,Food Science

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