UN SDG
Livestock Studies 2022, Vol 62, Num, 2     (Pages: 058-064)
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Effects of Different Methods and Relationship Matrices on Reliabilities of Genomic Selection in Dairy Cattle

Anıl KASAKOLU 1 ,Seyrani KONCAGÜL 1

1 Ankara University Faculty of Agriculture, Department of Animal Science, Ankara, Türkiye DOI : 10.46897/livestockstudies.1209084 - Since genomic prediction is widely used in dairy cattle, we aimed to evaluate the performance of pedigree based (ABLUP), SNP based (GBLUP) and single-step GBLUP (ss- GBLUP) methods with different sets of information in terms of reliability of genomic prediction. Four different methods were evaluated: (Method 1) ABLUP with all available phenotypes and pedigree; (Method 2) GBLUP with SNP genotypes and phenotypes of genotyped cows; (Method 3) single-step GBLUP with SNP genotypes, phenotypes of genotyped cows and all pedigree and (Method 4) single-step GBLUP with SNP genotypes, all phenotypes of both genotyped and nongenotyped cows and all pedigree. SNP based methods also used different genomic relationship matrices (GRMs) formed by different approaches: vanRaden, Astle, Yang and Endelman. The simulated dataset replicates a common dairy cattle population.

A significant increase in reliability of prediction was observed in ss-GBLUP with all phenotypes and pedigree beside genotyped cows. This increase was apparent for both first lactation milk yield (LMY) and milk fat percentage (Fat%). Combining all available information with ss-GBLUP gave about 1.6 and 1.2 times higher reliabilities for LMY and Fat%, respectively, compared to those obtained from the other three methods. Keywords : Dairy cattle Genomic relationship matrix ssGBLUP Reliability