畜牧兽医学报2024，Vol.55Issue(7)：2890-2900,11.DOI:10.11843/j.issn.0366-6964.2024.07.010
基于智能饲喂开展哺乳母猪采食量基因组遗传评估研究
Research on Feeding Capacity Selection of Lactating Sows Based on Intelligent Precision Feeding
摘要
Abstract
This study aimed to analyze the genetic parameters of feed intake traits in lactating sows and conduct a genome-wide association study(GWAS)to evaluate the impact of intelligent feeding technology on these traits during lactation.Feed intake data from 922 first to fourth parity Large White pigs,born between July 2022 and May 2023,were collected to analyze feeding conditions during lactation.The Hiblup software estimated the genetic parameters of feeding traits during lactation,while Plink,GEMMA,and R software conducted a genome-wide association study to identify significant SNP loci and candidate genes associated with feed intake traits.Functional enrichment analysis was then performed on annotated genes within the 420 kb range surrounding these SNP loci.The results indicated that the heritability of feeding traits in lactating Large White pigs ranged from 0.20 to 0.27,and 28 SNP sites were significantly correlated with these traits.Annotation of the associated SNP sites identified 15 candidate genes related to lactation feeding traits,which were significantly enriched in anabolic processes including glucose,fatty acids,hormones,and coenzymes(P＜0.05).HAMP,NDUFB8,UPK1A,CHSY1,U6,and COX7A1 were identified as key candidate genes for feeding traits in Large White pigs during lactation.The above research results provide crucial genetic variation sites and associated genes linked to feeding traits in Large White pigs during lactation,establishing a foundation for further enhancement of feed intake traits by utilizing these genetic markers in future breeding programs,and also offers theoretical support for the breeding of lactating Large White sows with enhanced fertility and lactation performance.关键词
智能饲喂/哺乳母猪/采食量选育/全基因组关联分析/SNP标记Key words
intelligent feeding/nursing sow/feed intake breeding/genome-wide association study/SNP marker分类
农业科技引用本文复制引用
张瑞琪,厐彦芹,李再山,尚秀国,兰干球,郭金彪,赵云翔..基于智能饲喂开展哺乳母猪采食量基因组遗传评估研究[J].畜牧兽医学报,2024,55(7):2890-2900,11.基金项目
广西科技重大专项(桂科AA23073020) （桂科AA23073020）
国家现代农业产业技术体系(CARS-PIG-35) （CARS-PIG-35）
国家现代农业产业技术体系广西创新团队建设专项资金资助(nycytxgxcxtd-2023-15-03) （nycytxgxcxtd-2023-15-03）
广西巴马县优势特色香猪产业提质增效关键技术集成与示范(2022YFD1601307) （2022YFD1601307）
