| 摘要: |
| 采用17个豆饼(粕)、9个玉米、32个棉籽饼(粕)、21个菜籽饼(粕)、29个鱼粉和8个肉鸡配合饲料的化学成分和体内法测定的代谢能值,计算出估测各种饲料表观代谢能的(ME)回归方程,并对回归关系和自变量进行显著性检验。同时计算出每个回归方程的剩余标准差(RSD),最后对各种饲料的方程进行筛选,筛选出最优方程。为了验证回归公式的可信度,对配合饲料中重要的组成原料——玉米和豆饼(粕)——的实测代谢能值与公式估算的代谢能值进行了 t 检验,结果两组数据(n=16)之间差异不显著,说明通过本试验筛选出的估测饲料代谢能值的回归公式精度较高,达到了与生物学法实测值相当近似的水平。回归法简便易行,为评定饲料中的代谢能提供了一种快速、有效的方法。 |
| 关键词: 代谢能 化学成分 回归方程 |
| DOI： |
| 投稿时间：1995-01-18 |
| 基金项目: |
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| The Regressive Estimation of Metabolizable Energy of Common Feeds for Poultry |
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| Abstract: |
| The optimal regression equations to estimate metabolizable energy were formulated,based on the determined chemical compositions and metabolizable energy of 17 soybean meals,9 corns,32 cotton- seed meals,21 rapeseed meals,29 fish meals and 8 broiler formula feeds.The regression coefficients of equations were highly significant.The residual standard deviations were as close as the deviation values in vivo.The estimated and determined metabolizable energy values of the tested corns and soybean meals were not s... |
| Key words: metabolizable energy chemical composition equation |
