Comparison of prediction accuracy for genomic estimated breeding value using the reference pig population of single-breed and admixed-breed
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초록
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.
Abstract
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.
참고문헌 (17)
- Zhong S, "Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines : a barley case study", Genetics, 182, pp.355~364 (2009)
- Hayes BJ, "Invited review : genomic selection in dairy cattle : progress and challenges", J Dairy Sci, 92, pp.433~443 (2009)
- Hayes BJ, "Accuracy of genomic breeding values in multi-breed dairy cattle populations", Genet Sel Evol, 41, pp.51~ (2009)
- Goddard M, "Genomic selection : prediction of accuracy and maximisation of long term response", Genetica, 136, pp.245~257 (2009)
- Moghaddar N, "Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep", Genet Sel Evol, 46, pp.58~ (2014)
- Hidalgo AM, "Accuracy of predicted genomic breeding values in purebred and crossbred pigs", G3(Bethesda), 5, pp.1575~1583 (2015)
- Yang J, "GCTA : a tool for genome-wide complex trait analysis", Am J Human Genet, 88, pp.76~82 (2011)
- Bhuiyan MSA, "Functional partitioning of genomic variance and genome-wide association study for carcass traits in Korean Hanwoo cattle using imputed sequence level SNP data", Front Genet, 9, pp.217~ (2018)
- Chang CC, "Second-generation PLINK : rising to the challenge of larger and richer datasets", Gigascience, 4, pp.7~ (2015)
- "R: a language and environment for statistical computing" (2013)[URL]
- "ASReml user guide release 4.1structural specification" (2015)[URL]
- Lourenco DA, "Accuracy of estimated breeding values with genomic information on males, females, or both : an example on broiler chicken", Genet Sel Evol, 47, pp.56~ (2015)
- Wientjes YCJ, "Impact of QTL properties on the accuracy of multi-breed genomic prediction", Genet Sel Evol, (4s7), pp.42~ (2015)
- Daetwyler HD, "Components of the accuracy of genomic prediction in a multi-breed sheep population", J Anim Sci, 90, pp.3375~3384 (2012)
- Kemper KE, "Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions", Genet Sel Evol, 47, pp.29~ (2015)
- de Roos APW, "Reliability of genomic predictions across multiple populations", Genetics, 183, pp.1545~1553 (2009)
- Meuwissen T, "Genomic selection : a paradigm shift in animal breeding", Anim Front, 6, pp.6~14 (2016)
