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논문 기본 정보

자료유형
학술저널
저자정보
Jean Pierre Munyaneza (Chungnam National University) Thisarani Kalhari Ediriweera (Chungnam National University) Minjun Kim (Chungnam National University) Eunjin Cho (Chungnam National University) Aera Jang (Kangwon National University) Hyo Jun Choo (National Institute of Animal Science) Jun Heon Lee (Chungnam National University)
저널정보
충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.49 No.3
발행연도
2022.9
수록면
407 - 420 (14page)

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Chicken dominates meat consumption because it is low in fat and high in protein and has less or no religious and cultural barriers. Recently, meat quality traits have become the focus of the poultry industry more than ever. Currently, poultry farming is focusing on meat quality to satisfy meat consumer preferences, which are mostly based on high-quality proteins and a low proportion of saturated fatty acids. Meat quality traits are polygenic traits controlled by many genes. Thus, it is difficult to improve these traits using the conventional selection method because of their low to moderate heritability. These traits include pH, colour, drop loss, tenderness, intramuscular fat (IMF), water-holding capacity, flavour, and many others. Genome-wide association studies (GWAS) are an efficient genomic tool that identifies the genomic regions and potential candidate genes related to meat quality traits. Due to their impact on the economy, meat quality traits are used as selection criteria in breeding programs. Various genes and markers related to meat quality traits in chickens have been identified. In chickens, GWAS have been successfully done for intramuscular fat (IMF) content, ultimate pH (pHu) and meat and skin colour. Moreover, GWAS have identified 7, 4, 4 and 6 potential candidate genes for IMF, pHu, meat colour and skin colour, respectively. Therefore, the current review summarizes the significant genes identified by genome-wide association studies for meat quality traits in chickens.

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Abstract
Introduction
Genome-wide association studies versus quantitative trait loci mapping
Application of GWAS to chickens
Candidate genes for intramuscular fat content
Candidate genes for ultimate pH
Candidate genes for inosine 5′-monophosphate
Candidate genes for meat and skin color
Candidate fatty acid composition genes
Conclusion
References

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