贵州省种畜禽种质测定中心,贵阳 550018
郭振刚,男,1987年生,硕士,正高级畜牧师。*
李建伟,男,1984年生,高级畜牧师。
收稿:2026-05-18,
纸质出版:2026-10-10
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郭振刚,欧仁,王舍等.贵乾半细毛羊体重与体尺的相关性及回归模型构建[J].养殖与饲料,2026,25(10):33-37.
Guo Zhengang,Ou Ren,Wang She,et al.The correlation between the body weight and the body size and the construction of regression model of Guiqian semi-fine wool sheep[J].Animals Breeding and Feed ,2026,25(10):33-37.
郭振刚,欧仁,王舍等.贵乾半细毛羊体重与体尺的相关性及回归模型构建[J].养殖与饲料,2026,25(10):33-37. DOI: 10.13300/j.cnki.cn42-1648/s.2026.10.008.
Guo Zhengang,Ou Ren,Wang She,et al.The correlation between the body weight and the body size and the construction of regression model of Guiqian semi-fine wool sheep[J].Animals Breeding and Feed ,2026,25(10):33-37. DOI: 10.13300/j.cnki.cn42-1648/s.2026.10.008.
目的
2
研究贵乾半细毛羊体重与体尺性状的表型关联规律,筛选高效体重估测指标并构建精准预测模型,为其遗传改良与现场快速估重提供科学依据。
方法
2
选取试验管理条件一致、健康无病的1.5~4岁成年贵乾半细毛羊216只(公羊94只、母羊122只),分别测定体重、体高、体长、胸围、胸深、胸宽、管围7项生长性状指标,并进行Pearson相关性分析、通径分析及逐步多元回归分析,系统解析各体尺性状对体重的影响效应,筛选最优性状组合构建回归估测模型。
结果
2
贵乾半细毛羊体重均值为46.82 kg,变异系数达18.72%,表型变异丰富,选育潜力较大;各体尺性状与体重均呈极显著正相关(
P
<0.01),相关系数依次为胸围(0.826)>体长(0.783)>胸深(0.715)>管围(0.682)>体高(0.634)>胸宽(0.597);胸围对体重的直接通径系数最大(0.428),为影响体重的首要关键因子;经逐步回归筛选,构建最优体重预测模型:
Y
=-87.632+0.615
X
₂+0.428
X
₃+0.376
X
₄+0.291
X
₆,复相关系数
R
=0.891,决定系数
R
²=0.793,模型拟合度良好且极显著(
P
<0.01)。
结论
2
胸围、体长为估测贵乾半细毛羊体重的核心指标;构建的回归模型可用于生产现场快速估重与早期精准选种。
Objectives
2
The phenotypic correlation between the body weight and the body size of Guigan semi-fine wool sheep was studied and indexes for efficiently estimating the body weight were identified to construct an accurate prediction model to provide a scientific basis for the genetic improvement and rapid on-site estimation of weight.
Methods
2
216 healthy and disease-free adult Guiqian semi-fine wool sheep including 94 rams and 122 ewes aged 1.5 to 4 years under the uniform experimental conditions were used to measure 7 indexes of growth including the body weight
body height
body length
chest girth
chest depth
chest width
and cannon circumference. Pearson correlation analysis
path analysis
and stepwise multiple regression analysis were conducted to systematically analyze the effects of various traits of body size on the body weight to identify the optimal combination of traits for constructing a regression estimation model.
Results
2
The average body weight of Guiqian semi-fine wool sheep was 46.82 kg
with a coefficient of variation of 18.72%
indicating that there are rich phenotypic variations
with great potential for selective breeding. There was a highly significant positive correlation (
P
<0.01) between various traits of body size and body weight
with the correlation coefficients in the decreasing order of chest girth (0.826)>body length (0.783)>chest depth (0.715)>cannon circumference (0.682) body height (0.634)> chest width (0.597). The direct path coefficient of chest girth on body weight was the highest (0.428)
indicating that chest girth is the primary key factor affecting body weight. Through stepwise regression
the constructed opti
mal model for predicting body weight was
Y
=-87.63+20.15
X
₂+0.428
X
₃+0.376
X
₄+0.291
X
6
with a multiple correlation coefficient (
R
) of 0.891 and a coefficient of determination (
R
²) of 0.793. The fitness of model was good and highly significant (
P
<0.01).
Conclusions
2
Chest girth and body length are the core indexes for estimating the body weight of Guigan semi-fine wool sheep. The regression model constructed can be used for the rapid on-site estimation of body weight and accurate selection of breed at early stage in production.
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