猪剩余采食量统计模型的研究现状  

Research Progress on Statistical Model for Residual Feed Intake of Pig

作　　者：李秋梦 张向吉吉 王起山[1] 马裴裴 潘玉春[1,2] LI Qiu-Meng;ZHANG Xiang-Zhe;WANG Qi-Shan;MA Pei-Pei;PAN Yu-Chun(Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University,shanghai200240;Shanghai Key Laboratory of Veterinary Bio-technology,shanghai200240)

机构地区：[1]上海交通大学农业与生物学院,上海200240 [2]上海市兽医生物技术重点实验室,上海200240

出　　处：《中国畜牧杂志》2018年第12期18-23,共6页Chinese Journal of Animal Science

摘　　要：剩余采食量(RFI)是如今评价猪饲料转化效率的重要指标之一。与传统的耗料增重比参数不同,RFI是畜禽实际采食量与用于生长和维持的预测采食量之间的差值,通过建立采食量与生产性能和代谢体重的多元线性回归模型获得。猪RFI统计模型的种类很多且各有千秋,不同的统计模型计算的RFI其遗传力、遗传相关、候选基因等具有明显差异。本文着重介绍近年来关于RFI的各种统计模型及不同的统计模型下RFI的遗传参数和候选基因。Residual feed intake(RFI) is one of the most important traits to evaluate the feed efficiency, which is different from the traditional feed concentration ratio. Residual feed intake is defined as the difference between the observed and the expectedfeed intake given a certain production. Studies have shown that RFI has a variety of statistical models, and the heritability, genetic correlation and candidate genes are different with different statistical models. So in this study, we introduced several statistical models of RFI, different heritability and candidate genes.

关 键 词：剩余采食量 统计模型 遗传参数 候选基因 猪 

分 类 号：S828.4[农业科学—畜牧学]