J.W. Shin , Y. Chung , S.Y. Maeng , S.H. Lee , Y. Choi , E. Hong , J. Lee , E. Cho , K.Y. Chung , D. Yoon , S.H. Lee , J.H. Lee
{"title":"基于基因组学的汉宇牛育前期和育后期系统的动物管理","authors":"J.W. Shin , Y. Chung , S.Y. Maeng , S.H. Lee , Y. Choi , E. Hong , J. Lee , E. Cho , K.Y. Chung , D. Yoon , S.H. Lee , J.H. Lee","doi":"10.1016/j.animal.2025.101526","DOIUrl":null,"url":null,"abstract":"<div><div>In the Korean cattle feedlot industry, profitability is largely dependent on the carcass value at slaughter, which is influenced by genetic and environmental factors, including finishing time and feeding strategies. This study evaluated the predictive potential of genomic information for four economic traits—carcass weight (<strong>CWT</strong>), eye muscle area (<strong>EMA</strong>), backfat thickness (<strong>BFT</strong>), and marbling score (<strong>MS</strong>)—and the final meat grades in 975 Hanwoo cattle. Animals were grouped according to slaughter timing (Early and Late Finishing), and the genomic estimated breeding values for each trait were calculated. The analysis confirmed that all traits, except for CWT, were unaffected by finishing time. However, CWT was found to be influenced by both environmental factors and paternal effects. Trends in the phenotypic values for CWT, EMA, and MS increased with higher selection indices, while BFT exhibited mixed patterns, which suggests environmental influences. A-grade proportions increased with higher indices, thereby demonstrating the potential of genomic data for the early selection of high-grade animals. These findings underscore the value of genomic information in Hanwoo cattle breeding strategies, although sample size expansion may improve prediction accuracy for certain grades.</div></div>","PeriodicalId":50789,"journal":{"name":"Animal","volume":"19 6","pages":"Article 101526"},"PeriodicalIF":4.0000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genomic-based animal management in the early- and late-finishing system of Hanwoo cattle\",\"authors\":\"J.W. Shin , Y. Chung , S.Y. Maeng , S.H. Lee , Y. Choi , E. Hong , J. Lee , E. Cho , K.Y. Chung , D. Yoon , S.H. Lee , J.H. Lee\",\"doi\":\"10.1016/j.animal.2025.101526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In the Korean cattle feedlot industry, profitability is largely dependent on the carcass value at slaughter, which is influenced by genetic and environmental factors, including finishing time and feeding strategies. This study evaluated the predictive potential of genomic information for four economic traits—carcass weight (<strong>CWT</strong>), eye muscle area (<strong>EMA</strong>), backfat thickness (<strong>BFT</strong>), and marbling score (<strong>MS</strong>)—and the final meat grades in 975 Hanwoo cattle. Animals were grouped according to slaughter timing (Early and Late Finishing), and the genomic estimated breeding values for each trait were calculated. The analysis confirmed that all traits, except for CWT, were unaffected by finishing time. However, CWT was found to be influenced by both environmental factors and paternal effects. Trends in the phenotypic values for CWT, EMA, and MS increased with higher selection indices, while BFT exhibited mixed patterns, which suggests environmental influences. A-grade proportions increased with higher indices, thereby demonstrating the potential of genomic data for the early selection of high-grade animals. These findings underscore the value of genomic information in Hanwoo cattle breeding strategies, although sample size expansion may improve prediction accuracy for certain grades.</div></div>\",\"PeriodicalId\":50789,\"journal\":{\"name\":\"Animal\",\"volume\":\"19 6\",\"pages\":\"Article 101526\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Animal\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1751731125001090\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Animal","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751731125001090","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
Genomic-based animal management in the early- and late-finishing system of Hanwoo cattle
In the Korean cattle feedlot industry, profitability is largely dependent on the carcass value at slaughter, which is influenced by genetic and environmental factors, including finishing time and feeding strategies. This study evaluated the predictive potential of genomic information for four economic traits—carcass weight (CWT), eye muscle area (EMA), backfat thickness (BFT), and marbling score (MS)—and the final meat grades in 975 Hanwoo cattle. Animals were grouped according to slaughter timing (Early and Late Finishing), and the genomic estimated breeding values for each trait were calculated. The analysis confirmed that all traits, except for CWT, were unaffected by finishing time. However, CWT was found to be influenced by both environmental factors and paternal effects. Trends in the phenotypic values for CWT, EMA, and MS increased with higher selection indices, while BFT exhibited mixed patterns, which suggests environmental influences. A-grade proportions increased with higher indices, thereby demonstrating the potential of genomic data for the early selection of high-grade animals. These findings underscore the value of genomic information in Hanwoo cattle breeding strategies, although sample size expansion may improve prediction accuracy for certain grades.
期刊介绍:
Editorial board
animal attracts the best research in animal biology and animal systems from across the spectrum of the agricultural, biomedical, and environmental sciences. It is the central element in an exciting collaboration between the British Society of Animal Science (BSAS), Institut National de la Recherche Agronomique (INRA) and the European Federation of Animal Science (EAAP) and represents a merging of three scientific journals: Animal Science; Animal Research; Reproduction, Nutrition, Development. animal publishes original cutting-edge research, ''hot'' topics and horizon-scanning reviews on animal-related aspects of the life sciences at the molecular, cellular, organ, whole animal and production system levels. The main subject areas include: breeding and genetics; nutrition; physiology and functional biology of systems; behaviour, health and welfare; farming systems, environmental impact and climate change; product quality, human health and well-being. Animal models and papers dealing with the integration of research between these topics and their impact on the environment and people are particularly welcome.