Accuracy of genomic breeding values estimated from simulation of the dairy cattle population of northern Thailand

Main Article Content

Sirijanya Aryuman
Asst. Prof. Dr.Nattaphon Chongkasikit


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

How to Cite
Aryuman, S., & Chongkasikit, N. (2024). Accuracy of genomic breeding values estimated from simulation of the dairy cattle population of northern Thailand. Journal of Science and Agricultural Technology, 4(2), 31–38.
Research Article


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