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苏尼特羊体重与体尺的相关性分析
引用本文:苏尼特羊体重与体尺的相关性分析. 苏尼特羊体重与体尺的相关性分析[J]. 畜牧与饲料科学, 2022, 43(6): 64-67. DOI: 10.12160/j.issn.1672-5190.2022.06.011
作者姓名:苏尼特羊体重与体尺的相关性分析
作者单位:1.内蒙古自治区锡林郭勒盟畜牧工作站,内蒙古 锡林浩特 0260002.内蒙古自治区农牧业科学院,内蒙古 呼和浩特 0100313.内蒙古农业大学动物科学学院,内蒙古 呼和浩特 0100184.内蒙古自治区农牧业技术推广中心,内蒙古 呼和浩特 010011
基金项目:内蒙古自治区科技重大专项(2020ZD0003);内蒙古自治区农牧业科学院创新基金项目(2018CXJJM01)
摘    要:[目的]分析内蒙古自治区锡林郭勒盟地方特色肉羊品种苏尼特羊体重与体尺指标的关联程度。[方法]随机选取5~6月龄发育及健康状况良好的苏尼特羊公羊247只、母羊260只,对羊只的体重(Y)、尾长(X1)、尾宽(X2)、体高(X3)、体长(X4)、胸围(X5)进行生产性能测定,数据整理后使用SPSS 26.0统计学软件对体重与体尺指标进行相关性分析和多元线性回归分析,最终建立最优回归模型。[结果]影响苏尼特羊公羊和母羊体重的主要体尺指标为尾宽、体高、体长和胸围,且与体重均呈极显著(P<0.01)相关;逐步回归分析建立了多元线性回归模型,公羊的最优线性方程为:Y=0.57X5+0.325X4+0.241X2-35.795,R2=0.834;母羊的最优线性方程为:Y=0.577X5+0.246X4+0.205X2-31.94,R2=0.799。[结论]回归方程中胸围、体长、尾宽与体重相关性均较高,皆可作为苏尼特羊的体重预测模型。

关 键 词:苏尼特羊  体重  体尺  相关性分析  模型  
收稿时间:2022-09-26

Correlation Analysis between Body Weight and Body Size of Sunit Sheep
Man-xi XIN,Terigele,Guo-qing WANG,Naqin,Xiao-long HE. Correlation Analysis between Body Weight and Body Size of Sunit Sheep[J]. Animal Husbandry and Feed Science, 2022, 43(6): 64-67. DOI: 10.12160/j.issn.1672-5190.2022.06.011
Authors:Man-xi XIN  Terigele  Guo-qing WANG  Naqin  Xiao-long HE
Affiliation:1. Animal Husbandry Working Station of Xilin Gol League of Inner Mongolia,Xilinhot 026000,China2. Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences,Hohhot 010031,China3. College of Animal Science,Inner Mongolia Agricultural University,Hohhot 010018,China4. Inner Mongolia Agricultural and Animal Husbandry Technology Promotion Center,Hohhot 010011,China
Abstract:[Objective] This study was conducted to analyze the correlation between body weight and body size indexes of Sunit sheep, a local distinctive mutton sheep breed in Xilin Gol League of Inner Mongolia, China. [Method] A total of 247 Sunit rams and a total of 260 Sunit ewes aged 5 to 6 months with good development and health condition were randomly selected, and the indexes potentially associated with production performance including body weight (Y), tail length (X1), tail width (X2), body height (X3), body length (X4) and chest circumference (X5) were measured. Following data processing, SPSS 26.0 software was used to perform correlation analysis and multiple linear regression analysis on the body weight and body size indexes. The best regression model was then established. [Result] The main body size indexes affecting the body weights of Sunit rams and ewes were tail width, body height, body length and chest circumference, which were all extremely significantly (P<0.01) correlated with the body weight. A multiple linear regression model was established by stepwise regression analysis. The optimal linear equation of Sunit ram was: Y=0.57X5+0.325X4+0.241X2-35.795, R2=0.834; the optimal linear equation of Sunit ewe was: Y=0.577X5+0.246X4+0.205X2-31.94, R2=0.799. [Conclusion] The body size indexes of chest circumference, body length and tail width had high correlation with body weight in the regression equation, and all of them could be used as the prediction indicators for body weight.
Keywords:Sunit sheep  body weight  body size  correlation analysis  model  
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