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Comparison of prediction accuracy for genomic estimated breeding value using the reference pig population of single-breed and admixed-breed.

Soo-Hyun LeeDongwon SeoDoo-Ho LeeJi Min KangYeong-Kuk KimKyung Tai LeeTae-Hun KimBong Hwan ChoiSeung Hwan Lee
Published in: Journal of animal science and technology (2020)
This study was performed to increase the accuracy of genomic estimated breeding value (GEBV) predictions for domestic pigs using single-breed and admixed reference populations (single-breed of Berkshire pigs [BS] with cross breed of Korean native pigs and Landrace pigs [CB]). The principal component analysis (PCA), linkage disequilibrium (LD), and genome-wide association study (GWAS) were performed to analyze the population structure prior to genomic prediction. Reference and test population data sets were randomly sampled 10 times each and precision accuracy was analyzed according to the size of the reference population (100, 200, 300, or 400 animals). For the BS population, prediction accuracy was higher for all economically important traits with larger reference population size. Prediction accuracy was ranged from -0.05 to 0.003, for all traits except carcass weight (CWT), when CB was used as the reference population and BS as the test. The accuracy of CB for backfat thickness (BF) and shear force (SF) using admixed population as reference increased with reference population size, while the results for CWT and muscle pH at 24 hours after slaughter (pH) were equivocal with respect to the relationship between accuracy and reference population size, although overall accuracy was similar to that using the BS as the reference.
Keyphrases
  • skeletal muscle
  • genome wide
  • machine learning
  • copy number
  • optical coherence tomography
  • hiv infected
  • big data
  • genetic diversity