An Assessment of the Genetic Parameters of Boars’ Reproductive Traits

Author:

Krupa Emil1ORCID,Krupová Zuzana1ORCID,Žáková Eliška1ORCID,Bauer Jiří2,Moravčíková Nina3,Vrtková Irena4

Affiliation:

1. Institute of Animal Science, 10400 Prague, Czech Republic

2. Czech-Moravian Breeders Association, 25209 Hradistko, Czech Republic

3. Institute of Nutrition and Genomics, Slovak University of Agriculture, 94901 Nitra, Slovakia

4. Department of Morphology, Physiology and Animal Genetics, Mendel University, Zemedelska 1, 61300 Brno, Czech Republic

Abstract

The aim of this study was to estimate genetic parameters for the reproductive traits of boars based on single-nucleotide polymorphism data. A total of 109,836 semen samples from 2249 boars were collected between 2010 and 2022. Five basic traits were assessed: sperm volume, sperm concentration, motility, number of abnormal sperm, and, for the first time for the local population, libido. In addition, two derived traits were assessed: total sperm count and number of functional sperm. Genetic parameters were estimated using the single-step genomic best linear unbiased prediction method (ssGBLUP). Dam and sire breeds were evaluated separately. The five basic traits were evaluated using five-trait models, while the two derived traits were evaluated using single-trait models. The heritability coefficients had lower values for all sperm quality traits with both methods. For the basic traits, the heritability ranged from 0.099 to 0.342. The greatest difference between dam and sire breeds was observed for the heritability of the sperm concentration trait (0.099 and 0.271, respectively). The heritability of the libido trait was twice as high for boars of sire breeds as it was for boars of dam breeds. The genetic parameters estimated with ssGBLUP can be used in routine genetic evaluations to improve the pig breeding process.

Funder

Ministry of Agriculture of the Czech Republic

Slovak Research and Development Agency

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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