Fitting and validating the genomic evaluation model to Polish Holstein-Friesian cattle
Joanna Szyda , Andrzej Zarnecki , Tomasz Suchocki , Stanisaw Kamiński
AbstractThe aim of the study was to fit the genomic evaluation model to Polish Holstein-Friesian dairy cattle. A training data set for the estimation of additive effects of single nucleotide polymorphisms (SNPs) consisted of 1227 Polish Holstein-Friesian bulls. Genotypes were obtained by the use of Illumina BovineSNP50 Genotyping BeadChip. Altogether 29 traits were considered: milk-, fat- and protein- yield, somatic cell score, four female fertility traits, and 21 traits describing conformation. The prediction of direct genomic values was based on a mixed model containing deregressed national proofs as a dependent variable and random SNP effects as independent variables. The correlations between direct genomic values and conventional estimated breeding values estimated for the whole data set were overall very high and varied between 0.98 for production traits and 0.78 for non return rates for cows. For the validation data set of 232 bulls the corresponding correlations were 0.38 for milk-, 0.37 for protein-, and 0.32 for fat yields, while the correlations between genomic enhanced breeding values and conventional estimated breeding values for the four traits were: 0.43, 0.44, 0.31, and 0.35. This model was able to pass the interbull validation criteria for genomic selection, which indicates that it is realistic to implement genomic selection in Polish Holstein-Friesian cattle.
|Journal series||Journal of Applied Genetics, ISSN 1234-1983, e-ISSN 2190-3883, (A 20 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||Dairy cattle; Genomic selection; Model validation; Single nucleotide polymorphism|
|Publication indicators||= 16; = 16; : 2011 = 1.042; : 2011 = 1.664 (2) - 2011=1.749 (5)|
|Citation count*||23 (2020-08-10)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.