首页|运用线性回归模型预测不同月龄肉用褐牛体重

运用线性回归模型预测不同月龄肉用褐牛体重

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[目的]体尺体重是衡量牛生长发育的重要指标,对饲养管理与选种选育具有重要意义.为了构建新疆褐牛公母牛体尺与体重回归预测模型.[方法]在本研究中选取了不同月龄阶段健康状况良好、品种特征明显的新疆褐牛公母牛共2 045 头,对不同年龄和性别下的新疆褐牛进行体尺及体重指标测定,并将数据进行了分析,通过对比13 个体尺指标和仅用相关系数最高的 4 个体尺指标与体重的关系,构建了相应的体尺与体重回归模型.[结果]通过对比建立的模型,我们研究发现胸围和腹围是影响体重的主要因素.特别是对于0~6 月龄的,使用13 个体尺指标建立的线性回归模型具有最高的拟合度分别为0~6 月龄的公牛和母牛,为 0.918 和0.942,0~6 月龄公牛线性回归方程:Y=-165.185+0.028X1-0.088X12-0.035X3+0.239X4+1.668X5+0.109X6+1.053X7-0.439X8+1.068X9+1.796X10+1.573X11-0.802X12-0.258X13(R2=0.918),0~6 月龄母牛线性回归方程:Y=-182.399+0.97X1-0.359X2+0.579X3-0.097X4-0.683X5+0.025X6-0.364X7+0.502X8+0.329X9+1.374X10+1.786X11-0.083X12+0.097X13(R2=0.942);使用 4 个体尺指标建立的线性回归模型具有最高的拟合度分别为 0.882 和 0.933,0-6 月龄公牛线性回归方程:Y=-162.511+0.555X2+1.218X9+0.986X11-0.127X12(R2=0.882),0~6 月龄母牛线性回归方程:Y=-175.941+0.436X2+0.449X9+2.073X11-0.213X12(R2=0.933).不同性别的牛群在各年龄段生长发育速度不同,除13-18 月龄的公牛外,在此年龄段发育迅速,变化大,动态明显.导致体尺与体重的回归模型拟合效果不是很好,但是在其他不同年龄段和不同性别的模型展现了良好的拟合效果.[结论]新疆褐牛的体尺与体重之间存在显著相关性,建立了体尺预测体重的线性回归公式,且0~6 月龄、7~12 月龄以及30 月龄以上的牛群的模型通过成对样本t检验得出预测体重与实测体重呈现不显著,可以用来预测牛群的体重.这对新疆褐牛不同年龄段不同性别的生长发育检测,体重预测有了一定的生产实践.
A Iinear Regression Model was Used to Predict the Weight of Brown Cattle for Meat at Different Ages
[Objective]Body size and weight are an important index to measure the growth and development of cattle,and are of great significance for feeding management and seed selection.In order to construct the regres-sion prediction model of body size and weight of Xinjiang brown cattle and cows.[Method]In this study,a total of 2045 Xinjiang brown cattle with good health and obvious breed characteristics at different age stages were select-ed.The body measurements and weight indicators of Xinjiang brown cattle of different ages and genders were meas-ured,and the data were analyzed.By comparing the relationship between 13 body measurements and only 4 body size indicators with the highest correlation coefficient and weight,a corresponding regression model between body size and weight was constructed.[Results]By comparing the established models,we found that chest circumfer-ence and abdominal circumference were the main factors affecting body weight.Especially for bulls and cows aged 0~6 months,the linear regression models established by using 13 body size indicators had the highest fitting de-grees of 0.918 and 0.942,respectively.The linear regression equation of bulls aged 0~6 months is:Y=-165.185+0.028X1-0.088X2-0.035X3+0.239X4+1.668X5+0.109X6+1.053X7-0.439X8+1.068X9+1.796X10+1.573X11-0.802X12-0.258X13(R2=0.918),The linear regression equation of 0~6 month-old cows:Y=-182.399+0.97X1-0.359X2+0.579X3-0.097X4-0.683X5+0.025X6-0.364X7+0.502X8+0.329X9+1.374X10+1.786X11-0.083X12+0.097X13(R2=0.942);The linear regression models based on four body size indicators had the highest fitting degrees of 0.882 and 0.933,respectively.The linear regression equation of 0~6 month-old bulls was Y=-162.511+0.555X2+1.218X9+0.986X11-0.127X12(R2=0.882),and the linear regression equation of 0~6 month-old cows was Y=-175.941+0.436X2+0.449X9+2.073X11-0.213X12(R2=0.933).Cattle of different sexes had different growth and development rates at different ages,except for bulls aged 13~18 months,which develop rapidly,change greatly and had obvious dynamics.The fitting effect of regres-sion model between body size and weight was not very good,but it showed good fitting effect in other models of dif-ferent ages and genders.[Conclusion]There was a significant correlation between body size and weight of Xin-jiang brown cattle,and a linear regression formula for predicting body weight based on body size was established.The model of cattle aged 0-6 months,7~12 months and over 30 months showed that the predicted body weight and the measured body weight were not significant through paired sample T-test,which could be used to predict the body weight of cattle.The growth and development testing of Xinjiang brown cattle of different ages and gen-ders,as well as weight prediction,had provided some practical production experience.

Xinjiang brown cattleregression modelrelevanceweight estimation

陈素梅、刘梦、张雨夏、王骁、陈文中、苏楠、王思翰、王文景、崔繁荣、叶治兵、马桢、闫向民

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新疆农业大学动物科学学院 新疆乌鲁木齐 830052

新疆畜牧科学院 新疆乌鲁木齐 830011

石河子大学动物科技学院 新疆石河子 832061

新疆褐牛 回归模型 相关性 估测体重

2024

中国牛业科学
西北农林科技大学 中国畜牧兽医学会养牛学分会 中国良种黄牛育种委员会

中国牛业科学

影响因子:0.32
ISSN:1001-9111
年,卷(期):2024.50(6)