基于主成分逐步回归法的新疆褐牛体重预测模型研究  

Weight Model Based on Regression of Principle Component Analysis of XinJiang Brown Cattle

作　　者：周振勇[1] 张杨[1] 蔺宏凯[1] 张金山[1] 李红波[1] 闫向民[1] 杜玮[1] 

机构地区：[1]新疆畜牧科学院畜牧研究所,新疆乌鲁木齐830000

出　　处：《中国牛业科学》2012年第1期1-4,共4页China Cattle Science

基　　金：现代农业产业技术体系建设专项资金资助(nycytx-38);国家科技支撑计划<新疆牛肉安全高效生产关键技术研究与示范>2011BAD47B00;国家成果转化<新疆绿色牛肉标准化生产技术推广示范>(2010GB2G400521);新疆维吾尔自治区科技重大专项"新疆肉用牛羊标准化生产技术示范"(200731135)

摘　　要：[目的]为了找到适合新疆褐牛体重预测的方法。[方法]运用主成分回归分析法构建了新疆褐牛公牛体重模型,消除了常用估重方法中体尺指标间普遍存在的多重共线性模型。[结果]表明,该模型具有较高的精度(R2=0.810,P<0.01),估测体重与实测体重具有较高的拟合度(R=0.922,P<0.01)。[结论]这种方法适合新疆褐牛的体型结构特点,同时,该方法与模型的应用也为其他品种牛体重估测模型的构建提供了参考。【Objective】In order to find the suitable prediction method of body weight of Xinjiang Brown cattle.【Method】regression method of principal components analysis was used to construct the weight model of Xinjiang brown cattle,eliminate the weight model estimation methods between body measurements of common multi-colinearity.【Result】The examination proved that this model was high precision,the estimated body weight and actual body weight was high fitting.【Conclusion】 This method fit Xinjiang brown cow＇s body feature,simultaneously,this method and the application of this model were also fit for body weight estimation of other breeds,which would provided the reference for the model construction.

关 键 词：主成分回归 体重模型 新疆褐牛 

分 类 号：S815.4[农业科学—畜牧学]