研究论文 RESEARCH PAPER

基于套算法和消化率计算法估测肉鸭饲料原料代谢能的比较研究

  • 尹丽婷 ,
  • 赵峰 ,
  • 张虎 ,
  • 李珂 ,
  • 李黛淋 ,
  • 王钰明
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  • 1. 中国农业科学院北京畜牧兽医研究所, 动物营养学国家重点实验室, 北京 100193;
    2. 新希望六和股份有限公司, 北京 100102
尹丽婷(1989—),女,辽宁盘锦人,硕士研究生,从事饲料养分生物学效价评定研究。E-mail:tingting495@126.com

收稿日期: 2021-10-17

  网络出版日期: 2022-05-14

基金资助

中国农业科学院科技创新工程(ASTIP-IAS07)

A Comparative Study on Metabolizable Energy Evaluation Based on Difference Method and Digestibility Calculation Method for Feed Ingredients in Ducks

  • YIN Liting ,
  • ZHAO Feng ,
  • ZHANG Hu ,
  • LI Ke ,
  • LI Dailin ,
  • WANG Yuming
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  • 1. State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
    2. New Hope Liuhe Co., Ltd., Beijing 100102, China

Received date: 2021-10-17

  Online published: 2022-05-14

摘要

本试验旨在研究2种计算方式对肉鸭饲料原料代谢能(ME)的影响,为采用生物学法测定肉鸭饲料原料ME时选择合适的计算方式提供参考。本研究分为2个试验。试验一:采用绝食法分5个批次测定肉鸭内源能损失的变异,同时通过排空强饲法测定10个肉鸭饲料原料配制的试验饲粮的ME,并通过2种公式计算各待测饲料原料的ME,公式1(套算法)根据基础饲粮、试验饲粮的ME及试验饲粮中基础饲粮的比例计算待测饲料原料的ME;公式2(消化率计算法)通过待测饲料原料的能量消化率乘以待测饲料原料的总能得出ME。试验二:以试验一中的10个肉鸭饲料原料配制10种验证饲粮,采用排空强饲法测定其ME,同时根据饲粮中各原料的比例及试验一中2种计算方式得出的原料ME计算饲粮的ME,比较饲粮ME计算值与实测值的差异。结果显示:1)在内源粪排泄量及内源能损失的差异上,1~3批次显著地低于4~5批次(P<0.05),内源粪排泄量与内源能损失变异系数分别在8.21%~12.20%和9.37%~15.35%变化;2)在2种计算方式间,玉米及棉籽粕的表观代谢能(AME)和真代谢能(TME)均有显著差异(P<0.05);3)根据公式1和公式2得出的饲料原料AME计算出的10个验证饲粮的AME中,计算值均显著高于实测值(P<0.05),但饲粮AME实测值对计算值的回归与Y=X均无显著差异(P>0.05)。根据公式1和公式2计算的饲料原料TME获得的10个饲粮的TME计算值中,分别有7和9个饲粮的实测值与计算值相差在400 kJ/kg以内;根据公式1和公式2计算的饲料原料TME获得的饲粮TME计算值与实测值均无显著差异(P>0.05),且饲粮TME实测值对计算值的回归与Y=X均无显著差异(P>0.05)。综上可知,TME比AME具有更好的可加性,且采用消化率计算法获得的肉鸭饲料原料的ME更为准确。

本文引用格式

尹丽婷 , 赵峰 , 张虎 , 李珂 , 李黛淋 , 王钰明 . 基于套算法和消化率计算法估测肉鸭饲料原料代谢能的比较研究[J]. 动物营养学报, 2022 , 34(5) : 3348 -3357 . DOI: 10.3969/j.issn.1006-267x.2022.05.060

Abstract

This experiment was conducted to study the effect of 2 formulas for calculating metabolizable energy (ME) of feed ingredients for ducks, and to provide a reference for selecting an appropriate formula to determine the ME of feed ingredients in bioassay method for ducks. This study was divided into 2 parts. Experiment 1 was to determine the variation of endogenous energy loss (EEL) of fasting ducks in 5 batches. Then, the ME of 10 experimental diets prepared with 10 feed ingredients were determined with emptying and force-feeding method, and 2 formulas were used to calculate the ME of feed ingredients. The formula 1 (difference method) used to calculate the ME of feed ingredients was according to the ME of basal diet and experimental diet, and the proportion of basal diet in experimental diet. The formula 2 (digestibility calculation method) used to calculate the ME of feed ingredients was according to energy digestibility of feed ingredient multiplying its gross energy. Experiment 2 was to compare the differences of calculated and determined ME of 10 validation diets prepared with feed ingredients used in experiment 1. The determined ME of 10 validation diets were determined with emptying and force-feeding method, and the calculated ME of 10 validation diets were calculated from the proportion of feed ingredients in the validation diets and their ME calculated with 2 formulas in the experiment 1. The results showed as follows:1) in the variation of endogenous dry matter loss (ELDM) or EEL, the values in batches 1 to 3 were significantly lower than those in batches 4 to 5 (P<0.05). The variation coefficients of ELDM and EEL varied from 8.21% to 12.20% and from 9.37% to 15.35%, respectively. 2) Between the 2 calculation formulas, the apparent metabolizable energy (AME) and true metabolizable energy (TME) were significantly different in corn and cottonseed (P<0.05). 3) The AME of 10 validation diets calculated with formula 1 or 2 were both significantly higher than the determined values (P<0.05). However, the regression model of determined AME on calculated values of diets had no significant difference with the line of Y=X (P>0.05). The difference of less than 400 kJ/kg between determined and calculated TME from the TME of feed ingredients determined with formulas 1 and 2 was observed in 7 and 9 out of 10 diets, respectively. Additionally, there was no significant difference between determined and calculated TME from the TME of feed ingredients determined with formulas 1 or 2 (P>0.05), and between the regression model of determined TME on calculated values of diets and the line of Y=X (P>0.05). In conclusion, the additivity of TME is better than that of AME. It is more accurate to use the digestibility calculation method to calculate the TME of feed ingredients for ducks.

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