应用化学成分建立天府肉鸭豆粕净能预测模型的研究

李杰, 贾刚, 赵华, 陈小玲, 刘光芒, 李华, 王康宁

doi:10.3969/j.issn.1006-267x.2015.10.016

动物营养学报 >

2015 , Vol. 27 >Issue 10: 3110 - 3117

DOI: https://doi.org/10.3969/j.issn.1006-267x.2015.10.016

实验方法 Experimental Methods

应用化学成分建立天府肉鸭豆粕净能预测模型的研究

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四川农业大学动物营养研究所, 农业部动物抗病营养与饲料重点实验室, 雅安 625014

李杰(1988—),男,四川隆昌人,硕士研究生,从事饲料资源开发与高效利用研究。E-mail:1040957563@qq.com

收稿日期: 2015-04-30

网络出版日期: 2015-10-15

基金资助

四川省科技支撑计划(2013NZ0054,科创饲料产业技术研究院);四川农业大学双支计划

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A Study of Prediction Model of Chemical Composition to Predict Net Energy of Soybean Meal for Tianfu Ducks

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Key Laboratory of Animal Disease-Resistant Nutrition and Feed Science of Ministry of Agriculture, Institute of Animal Nutrition, Sichuan Agricultural University, Ya'an 625014, China

Received date: 2015-04-30

Online published: 2015-10-15

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摘要

本试验旨在用析因法评定不同豆粕的天府肉鸭的净能(NE),并用表观代谢能(AME)结合化学成分建立其预测方程。豆粕NE的评定分为维持净能(NEm)与沉积净能(NEp)。试验共用天府肉鸭740只,先选100只随机分到自由采食及限饲20%、32%、44%、56%共5个组,采用回归法测定NEm;再选620只随机分到30个豆粕组和1个基础饲粮组,采用套算法评定豆粕的NEp;剩余20只鸭作为零对照组测定肉鸭初始能值。测定30种豆粕的常规化学成分,并根据测定的NE、AME和化学成分进行相关、回归分析。结果表明:天府肉鸭NEm为598.251 kJ/kg BW^0.75,经套算法得到30种豆粕NE为(6.69±0.53) MJ/kg。用化学成分建立的最佳豆粕NE预测方程为NE=0.412AME-0.126ADF+4.164(R²为0.931,RSD为0.168 MJ/kg);用AME结合化学成分建立的最佳预测方程为NE=0.230AME-0.132ADF-1.69CF+7.320(R²为0.942,RSD为0.156 MJ/kg)。由此可见,1)天府肉鸭的豆粕NE为(6.69±0.53) MJ/kg,不同豆粕存在较大差异;2)用豆粕化学成分和AME来预测天府肉鸭豆粕NE是可行的,且用AME结合化学成分建立的NE预测方程较好。

关键词： 天府肉鸭; 豆粕; 净能; 化学成分; 预测模型

本文引用格式

李杰, 贾刚, 赵华, 陈小玲, 刘光芒, 李华, 王康宁 . 应用化学成分建立天府肉鸭豆粕净能预测模型的研究[J]. 动物营养学报, 2015 , 27(10) : 3110 -3117 . DOI: 10.3969/j.issn.1006-267x.2015.10.016

Abstract

The study was conducted to determine the net energy (NE) of soybean meals using the factorial method, and was established prediction models for NE by chemical composition or apparent metabolizable energy (AME).NE value of soybean meal was measured as the sum value of NE for maintenance (NEm) and NE for deposition (NEp).A total of 740 Tianfu ducks were used in the experiment.NEm was measured by regression method with five groups used 100 ducks, which were ad libitum groups and restricted feeding 20%, 32%, 44%, 56% groups, respectively.NEp was measured by substitution method with 30 soybean meal groups and 1 basal diet group used 620 ducks.The other 20 ducks as a zero control group for measured initial energy values of ducks.Proximate compositions of soybean meal samples were measured, and analyses of simple and multiple linear regression were carried out between NE and AME values, and chemical composition.The results showed that the NEm of ducks was 598.251 kJ/kg BW^0.75, the NE value of 30 soybean meals were (6.69±0.53) MJ/kg.The optimum prediction model for NE of soybean meals by chemical composition was NE=0.412AME-0.126ADF+4.164 (R²=0.931,RSD=0.168 MJ/kg).The optimum prediction model for AME by chemical composition was NE=0.230AME-0.132ADF-1.69CF+7.320 (R²=0.942,RSD=0.156 MJ/kg).In conclusion, 1) the soybean meals NE of Tianfu ducks is (6.69±0.53) MJ/kg, and has greatly difference among different soybean meals.2) It is feasible to using chemical composition and AME to establish prediction equations for soybean meal NE, and the best regression equation from AME combined with chemical composition is relatively good.

Key words： Tianfu ducks; soybean meal; net energy; chemical composition; prediction models

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