Accuracy of genomic breeding values estimated from simulation of the dairy cattle population of northern Thailand
Main Article Content
Abstract
Accuracy is of significant importance in animal breeding, as it directly impacts the response to selection.
The objectives of this study were to estimate the accuracy of genomic breeding values (GEBV) from a simulated
population of the dairy cattle population of northern Thailand, which has exhibited an increasing trend from the past
to the present. Data were simulated using a calibration set (CS) of 2,000 and 3,000 animals, heritability (h2) ranging
from 0.05 to 0.50, and the number of SNPs at 20K and 40K. The GEBV was estimated using BLUP under animal
model, and the accuracy was estimated by the correlation between GEBV and TBV from the simulation. The
accuracy of GEBV ranged from 0.0870 to 0.8761. The CS of 3,000 animals was higher than the CS of 2,000 animals.
Additionally, it was observed that the accuracy of the low h2 trait was unstable and lower than the high h2 trait, and
the accuracy between 20K and 40K of SNPs was similar, with the highest values being 0.8761 and 0.8189,
respectively. This study showed the CS of 3,000 animals and SNPs 40K would be appropriate for estimating GEBV.
Article Details
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