| 青格里绒山羊体尺、体重与产绒量的相关性分析 |
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| 引用本文： | 依明·苏来曼,;李彦飞,;巴合提别克,;黄锡霞.青格里绒山羊体尺、体重与产绒量的相关性分析[J].新疆农业大学学报,2014(1):44-47. |
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| 作者姓名： | 依明·苏来曼 ;李彦飞 ;巴合提别克 ;黄锡霞 |
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| 作者单位： | [1]新疆农业大学动物科学学院,乌鲁木齐830052; [2]新疆肉乳用草食动物营养实验室,乌鲁木齐830052; [3]新疆青河县畜牧兽医站,青河836200 |
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| 基金项目： | 新疆维吾尔自治区重大专项（201230116-6）;国家绒毛用羊产业技术体系建设项目（CARS-40）;全国博士后管委会国家资助计划（90547） |
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| 摘 要： | 为探讨青格里绒山羊体尺、体重与产绒量的相关关系,采用SPSS16.0软件对2 090只青格里绒山羊进行体尺指标、体重与产绒量的相关性分析、通径分析和回归分析.建立体尺、体重与产绒量间的回归模型.结果表明,体重（X1）、体高（X2）、体长（X3）、胸围（X4）、管围（X5）、绒长（X6）与产绒量（y）均呈极显著正相关（P＜0.01）.体重、胸围对产绒量的直接作用较大,而体高主要通过间接作用影响产绒量.得到最优回归方程：y=0.267X1＋0.094X3＋0.231X4 ＋0.047X5＋0.089X6.在青格里绒山羊选育工作中,应以体重为主要选育指标,兼顾胸围.
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| 关 键 词： | 体重 相关性分析 直接作用 间接作用 最优回归方程 |
Correlation Analysis on Body Size,Body Weight and Cashmere Yield of Qinggeli Cashmere Goat |
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| Institution: | Yiming Sulaiman , LI Yan-fei , Bahetibieke, HUANG Xi-xia (1.College of Animal Science,Xinjiang Agricultural University, Urumqi 830052, China; 2. Xinjiang Nutrition Laboratory of Meat ＆ Milk Production Herbivorous Animal, Urumqi 830052, China ; 3.Qinghe County Livestock Veterinarian Station, Xinjiang, Qinghe 836200, China) |
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| Abstract: | The article aimed to explore the correlations between body size and weight and cashmere yield of 2090 individuals of Xinjiang Qinggeli cashmere goat.SPSS16.0 software were used to analyze the correlation and path between the body sizes, body weight and cashmere yield, and to establish regression equations model of body size,body weight and cashmere yield.The results showed that there were positive significant correlations between body weight （X1）, body height （X2）, body length （X3）, chest girth （X4）, circumference （Xs）, cashmere length （X6） and cashmere yield （Y） （P 〈0.01）. Body weight,chest girth have a direct influence on cashmere yield. Optimal regression equation formula was Y = 0.267X1 ＋ 0.094X3 ＋ 0.231X4 ＋ 0.047X5 ＋0.089X6. Therefore,the body weight should be considered as the main breeding indicators,taking into account the chest girth in production of Qinggeli cashmere goat. |
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| Keywords: | body weight correlation analysis direct effect indirect effects optimal regression equation formula |
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