1Department of Statistics, Yeungnam University, Gyeongsan 712-749, Korea 2Livestock Research institute, Yeongju 750-871, Korea 3Department of Life Sciences, Yeungnam University, Gyeongsan 712-749, Korea 4Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore
Received: April 4, 2016; Revised: September 27, 2016. Accepted: February 1, 2017. Published online February 1, 2017. Jea-Young Lee and Dong-Yep Oh contributed equally to this work.
Objective: This study examines the genetic factors influencing the phenotypes (four economic traits:oleic acid [C18:1], monounsaturated fatty acids, carcass weight, and marbling score) of Hanwoo. Method: To enhance the accuracy of the genetic analysis, the study proposes a new statistical model that excludes environmental factors. A statistically adjusted, analysis of covariance model of environmental and genetic factors was developed, and estimated environmental effects (covariate effects of age and effects of calving farms) were excluded from the model. Results: The accuracy was compared before and after adjustment. The accuracy of the best single nucleotide polymorphism (SNP) in C18:1 increased from 60.16% to 74.26%, and that of the twofactor interaction increased from 58.69% to 87.19%. Also, superior SNPs and SNP interactions were identified using the multifactor dimensionality reduction method in Table 1 to 4. Finally, high and lowrisk genotypes were compared based on their mean scores for each trait. Conclusion: The proposed method significantly improved the analysis accuracy and identified superior genegene interactions and genotypes for each of the four economic traits of Hanwoo.
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