제주재래흑돼지와 랜드레이스 F2 교배축군의 생체중에 대한 유전체와 가계도 기반의 유전력 및 모체효과 추정
Growth traits, such as body weight, directly influence productivity and economic efficiency in the swine industry. In this study, we estimate heritability for body weight traits usinginformation from pedigree and genome-wide single nucleotide polymorphism (SNP) chip data. Four body weight phenotypes...
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Published in | Journal of animal reproduction & biotechnology (Online) pp. 243 - 247 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | Korean |
Published |
사단법인 한국동물생명공학회
30.09.2016
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Subjects | |
Online Access | Get full text |
ISSN | 2671-4639 2671-4663 |
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Summary: | Growth traits, such as body weight, directly influence productivity and economic efficiency in the swine industry.
In this study, we estimate heritability for body weight traits usinginformation from pedigree and genome-wide single nucleotide polymorphism (SNP) chip data. Four body weight phenotypes were measured in 1,105 F2 progeny from an intercross between Landrace and Jeju native black pigs. All experimental animals were subjected to genotypic analysis using PorcineSNP60K BeadChip platform, and 39,992 autosomal SNP markers filtered by quality control criteria were used to construct genomic relationship matrix for heritability estimation. Restricted maximum likelihood estimates of heritability were obtained using both genomic- and pedigree- relationship matrix in a linear mixed model.
The heritability estimates using SNP information were smaller (0.36-0.55) than those which were estimated using pedigree information (0.62-0.97). To investigate effect of common environment, such as maternal effect, on heritability estimation, we included maternal effect as an additional random effect term in the linear mixed model analysis. We detected substantial proportions of phenotypic variance components were explained by maternal effect. And the heritability estimates using both pedigree and SNP information were decreased. Therefore, heritability estimates must be interpreted cautiously when there are obvious common environmental variance components. KCI Citation Count: 0 |
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Bibliography: | G704-001405.2016.31.3.019 |
ISSN: | 2671-4639 2671-4663 |