畜牧兽医学报2012，Vol.43Issue(8)：1230-1238,9.
肉用绵羊饲料养分消化率和有效能预测模型的研究
Prediction of Nutrient Digestibility and Energy Concentrations Using Chemical Compositions in Meat Sheep Feeds
摘要
Abstract
The objectives of this experiment were to use the data of chemical composition to develop prediction equations for nutrient digestibility and energy concentrations of meat sheep feeds. Twelve crossbred rams (Dorper × Small-tailed Han♀) fitted with ruminal cannulas and body weight of (47. 21 + 1. 01) kg were used in a uncompleted 12×4 Latin square arrangement. Chemical composition, nutrient digestibility and energy concentrations of each ration were determined and calculated by regression method. The results showed that, digestibility of dry matter (DM) , organic matter (OM) , gross energy (GE) and crude protein (CP) were positively related to their contents in diet (P＜0. 01＝, whereas they were negatively related to neutral detergent fiber (NDF) (P＜0. 01＝. Digestibility of NDF was negatively related to OM, GE and CP in diet (P＜ 0.05＝, and positively related to the NDF(P＜0. 01＝. There were positive relationship between concentrations of digestible energy (DE) and metabolizable energy (ME) and the content of OM, GE and CP in diet (P＜0. 01＝ , whereas they were negatively related (P＜0. 01＝ to NDF. Prediction equation of energy digestibility (ED) and ME based on chemical composition were ED(％) = 194. 907-0. 987NDF(％)-0. 901OM(％)-0. 603CP(％) (R2 =0.966, n=12, P＜0. 001＝ and ME(MJ o kg-1DM) = 50. 245-0. 136NDF(％)-0.394OM(％)-0.012CP(％) (R2 =0.901, n = 12, P＜0. 001＝, respectively. These results indicated that there were significant relationship between nutrient digestibility, energy concentrations and chemical composition, and the equations developed in the present experiment could accurately predict nutrient digestibility and energy concentrations using chemical composition in meat sheep feeds.关键词
绵羊/消化率/有效能/预测方程Key words
sheep/ digestibility/ energy concentrations/ prediction equation分类
农业科技引用本文复制引用
刘洁,刁其玉,赵一广,姜成钢,邓凯东,李艳玲,屠焰..肉用绵羊饲料养分消化率和有效能预测模型的研究[J].畜牧兽医学报,2012,43(8):1230-1238,9.基金项目
农业部公益性行业(农业)项目(200903006) （农业）
