논문투고

축산관련 논문을 투고한 자료를 모아 정보를 제공합니다.
(관련자료가 없는 성과년도는 표기되지 않습니다.)
출처 : 농촌진흥사업 종합관리시스템

글보기입니다.
논문명(한글) Application of single-step genomic evaluation using social genetic effect model for growth in pig
논문명(영문) Application of single-step genomic evaluation using social genetic effect model for growth in pig
예산사업명 축산시험연구
연차연구세부과제 개발 종돈 산업 활성화를 위한 종료종모돈 선발기술 개발 및 보급
성과주관부서 농촌진흥청 국립축산과학원 축산자원개발부 양돈과
품목코드 축산 / 중가축 / 돼지
학술지명 Asian-Australasian Journal of Animal Sciences 주저자 홍준기(양돈과)
연도 2019 성과적용일 2019년11월
Objective: Social genetic effects (SGE) are an important genetic component for growth, group productivity, and welfare in pigs. The present study was conducted to evaluate (i) the feasibility of the single-step genomic BLUP (ssGBLUP) approach with the inclusion of SGE in the model in pigs, and (ii) the changes in the contribution of heritable SGE to the phenotypic variance with different scaling ω constants for genomic relationships. Methods: The dataset included performance tested growth rate records (average daily gain) from 13,166 and 21,762 pigs Landrace (LR) and Yorkshire (YS), respectively. A total of 1,041 (LR) and 964 (YS) pigs were genotyped using the Illumina PorcineSNP60 v2 BeadChip panel. With the BLUPF90 software package, genetic parameters were estimated using a modified animal model for competitive traits. Giving a fixed weight to pedigree relationships (τ: 1), several weights (ωxx: 0.1–1.0, with a 0.1 interval) were scaled with the genomic relationship for best model fit with Akaike information criterion (AIC). Results: The genetic variances and total heritability estimates (T^2) were mostly higher with ssGBLUP than in the pedigree-based analysis. The model AIC value increased with any level of ω other than 0.6 and 0.5 in LR and YS, respectively, indicating the worse fit of those models. The theoretical accuracies of direct and social breeding value were increased by decreasing ¬ω in both breeds, indicating the better accuracy of ω0.1 models. Therefore, the optimal values of ω to minimize AIC and to increase theoretical accuracy were 0.6 in LR and 0.5 in YS. Conclusion: In conclusion, single-step ssGBLUP model fitting SGE showed significant improvement in accuracy compared with the PED method; therefore, it could be implemented in a pig population for genomic selection based on SGE, especially in South Korean populations, with appropriate further adjustment of tuning parameters for relationship matrices.
  • 트위터
  • 페이스북

담당자 : 기획조정과 전승일[063-238-7131]  ㅣ  갱신주기 : 변경시

자주찾는 정보

자주찾는 정보

원하시는 메뉴 5개 선택 후 저장하세요