Relationship between heritability and accuracy of breeding value from simulation population of dairy cattle population in upper Northern Thailand

Abstract

Heritability is important to use as the guideline for animal breeding. It is also an important factor influencing the accuracy of genomic breeding value in addition to reference population size and number of SNPs. The accuracy of breeding value prediction affects the response to selection. Due to the estimation of breeding value from pedigree taking a long period to collect the selection data, thus the genomic data were used to reduce the duration of data collection and increase the accuracy of selection. The aim of this study was to analyze the accuracy of breeding value from different levels heritability of simulated population of dairy cattle population in Upper Northern Thailand. The data for simulate were collected from 1952 to 2015. The reference population or Calibration set (CS), which the population was known phenotype. And Validation set (VS) was the population unknown phenotype of 1,000, number of SNPs 30K and heritability 0.01 to 0.50 were used. The accuracy was estimated from correlation between Estimate Breeding Value, Genomic Breeding Value, and True Breeding Value estimation by BLUP with an animal model. The results showed that the accuracy increases as heritability increases. Moreover, the accuracy prediction of genomic data higher than pedigree data. The accuracy of CS higher than VS. The standard error of accuracy of validation set prediction from pedigree data and genomic data were decreased as heritability increase.