动物营养学报 >

2021 , Vol. 33 >Issue 5: 2681 - 2695

DOI: https://doi.org/10.3969/j.issn.1006-267x.2021.05.028

禽营养与饲料 POULTRY NUTRITION AND FEED

樱桃谷青年公鸭对不同来源菜籽饼粕的代谢能值及其预测方程的建立

  • 于爽 ,
  • 王建萍 ,
  • 曾秋凤 ,
  • 丁雪梅 ,
  • 白世平 ,
  • 张克英
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  • 四川农业大学动物营养研究所, 动物抗病营养教育部重点实验室, 动物抗病营养农业农村部重点实验室, 动物抗病营养四川省重点实验室, 成都 611130
于爽(1994-),女,河北保定人,硕士研究生,动物营养与饲料科学专业。E-mail:1651476797@qq.com

收稿日期: 2020-11-06

  网络出版日期: 2021-05-14

基金资助

现代农业产业技术体系专项（CARS-42-10）

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Evaluation and Establishment of Prediction Equation for Metabolizable Energy of Rapeseed Meal from Different Sources in Young Ducks

  • YU Shuang ,
  • WANG Jianping ,
  • ZENG Qiufeng ,
  • DING Xuemei ,
  • BAI Shiping ,
  • ZHANG Keying
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  • Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Key Laboratory of Animal Disease Resistance Nutrition of Ministry of Agriculture and Rural Affairs, Key Laboratory of Animal Disease resistance Nutrition of Sichuan Province, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China

Received date: 2020-11-06

  Online published: 2021-05-14

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摘要

本试验旨在通过实验室分析和代谢试验建立基于菜籽饼粕养分的代谢能值预测方程，为生产提供便捷的估测菜籽饼粕代谢能值的方法。试验共收集25种菜籽饼粕样品，选用19周龄以上健康的樱桃谷肉公鸭进行代谢试验。代谢试验分3批进行，前2批代谢试验均设13个组：玉米组、玉米-豆粕组、绝食内源组和10个菜籽饼粕组；第3批代谢试验设8个组：玉米组、玉米-豆粕组、绝食内源组和5个菜籽饼粕组。前2批代谢试验均使用156只，而第3批代谢试验使用96只，每组设12个重复，每个重复1只鸭。待测饲粮由豆粕或菜籽饼粕替代玉米组成，其中豆粕按35%替代玉米，菜籽饼粕按40%替代玉米。采用真代谢能（TME）结合套算法评定菜籽饼粕的代谢能值，强饲量为试验鸭体重的2%，排空时间和排泄物收集时间均为36 h，每批之间设14 d的恢复期。采用逐步回归法建立菜籽饼粕养分与代谢能值的回归方程。结果表明：1）25种菜籽饼粕的总能（GE）平均值为17.91 MJ/kg[16.48~20.04 MJ/kg，变异系数（CV）=5.24%]，干物质（DM）含量平均值为89.72%（86.20%~93.73%，CV=2.21%），粗蛋白质（CP）含量平均值为44.56%（33.91%~50.70%，CV=8.86%），粗脂肪（EE）含量平均值为5.63%（1.21%~10.92%，CV=61.83%），粗灰分（Ash）含量平均值为7.58%（6.90%~8.48%，CV=6.04%），粗纤维（CF）含量平均值为12.89%（7.98%~16.18%，CV=15.08%），中性洗涤纤维（NDF）含量平均值为35.86%（20.30%~62.73%，CV=28.21%），酸性洗涤纤维（ADF）含量平均值为23.23%（12.75%~40.10%，CV=28.12%），钙（Ca）含量平均值为0.78%（0.22%~1.29%，CV=31.01%），磷（P）含量平均值为1.07%（0.85%~1.32%，CV=8.24%）。2）25种菜籽饼粕的表观代谢能（AME）平均值为10.21 MJ/kg（8.28~12.51 MJ/kg，CV=17.87%），TME平均值为10.96 MJ/kg（9.00~13.39 MJ/kg，CV=16.66%），氮校正表观代谢能（AMEn）平均值为9.04 MJ/kg（7.28~10.75 MJ/kg，CV=17.42%），氮校正真代谢能（TMEn）平均值为9.71 MJ/kg（7.87~11.51 MJ/kg，CV=16.21%）。3）通过逐步回归分析建立菜籽饼粕AME、TME、AMEn、TMEn的预测方程：AME=0.010 7PS+0.226 5EE+8.352 8（R2=0.708 1，P<0.01）；TME=0.011 4PS+0.223 9EE+9.103 3（R2=0.704 7，P<0.01）；AMEn=1.091 6GE+0.019 3PS-0.234 0DM-0.158 9CF+0.059 9ADF+10.111 9（R2=0.858 2，P<0.05）；TMEn=0.794 5GE-0.214 3CF-1.781 7（R2=0.762 6，P<0.01）。由此可见，樱桃谷青年公鸭对不同来源菜籽饼粕的代谢能值存在差异，可利用菜籽饼粕的养分构建其代谢能值的预测方程。

关键词： 肉鸭; 菜籽粕; 代谢能值; 预测方程

本文引用格式

于爽 , 王建萍 , 曾秋凤 , 丁雪梅 , 白世平 , 张克英 . 樱桃谷青年公鸭对不同来源菜籽饼粕的代谢能值及其预测方程的建立[J]. 动物营养学报, 2021 , 33(5) : 2681 -2695 . DOI: 10.3969/j.issn.1006-267x.2021.05.028

Abstract

This study was conducted to establish the prediction equation for metabolizable energy values of rapeseed meal based on nutrients through laboratory analysis and metabolism test, so as to provide a convenient method to estimate the metabolizable energy values of rapeseed meal for production. Healthy Cherry Valley young male ducks with the age more than 19 weeks were selected to measure the metabolizable energy values of 25 rapeseed meals from different sources by using metabolism test. Metabolism test included 3 batches. There were 13 groups such as corn group, corn-soybean group, hungry endogenous group and 10 rapeseed meal groups in the batches 1 and 2, and there were 10 groups such as corn group, corn-soybean group, hungry endogenous group and 5 rapeseed meal groups in the batch 3. One hundred and fifty-six meat ducks in the batches 1 and 2 were randomly assigned to 13 groups with 12 replicates per group and 1 duck per replicate, and ninety-six meat ducks in the batch 3 were randomly assigned to 8 groups with 12 replicates per group and 1 duck per replicate. The tested diet consisted of soybean meal or rapeseed meal replacing corn, in which soybean meal replaced corn at 35% and rapeseed meal replaced corn at 40%. The true metabolizable energy (TME) combined with the set algorithm method was used to evaluate metabolizable energy values, meat ducks were force-fed with 2% body weight of diets, and all excretion of each duck was collected for 36 h after force-fed. The 14 days recovery period was set between each batch. The regression equations of metabolizable energy values and nutrients of rapeseed meal were established by stepwise regression method. The results showed as follows:1) the means of gross energy (GE), and the contents of dry matter (DM), crude protein (CP), ether extract (EE), crude fiber (CF), neutral detergent fiber (NDF), acid detergent fiber (ADF), calcium (Ca) and phosphorus (P) of 25 rapeseed meals were 17.91 MJ/kg [16.48 to 20.04 MJ/kg, variable coefficient (CV)=5.24%], 89.72% (86.20% to 93.73%, CV=2.21%), 44.56% (33.91% to 50.70%, CV=8.86%), 5.63% (1.21% to 10.92%, CV=61.83%), 12.89% (7.98% to 16.18%, CV=15.08%), 35.86% (20.30% to 62.73%, CV=28.21%), 23.23% (12.75% to 40.10%, CV=28.12%), 0.78% (0.22% to 1.29%, CV=31.01%) and 1.07% (0.85% to 1.32%, CV=8.24%), respectively. 2) The mean of apparent metabolizable energy (AME) of 25 rapeseed meals was 10.21 MJ/kg (8.28 to 12.51 MJ/kg, CV=17.87%), the mean of TME was 10.96 MJ/kg (9.00 to 13.39 MJ/kg, CV=16.66%), the mean of nitrogen corrected apparent metabolizable energy (AMEn) was 9.04 MJ/kg (7.28 to 10.75 MJ/kg, CV=17.42%), and the mean of nitrogen adjusted true metabolizable energy (TMEn) was 9.71 MJ/kg (7.87 to 11.51 MJ/kg, CV=16.21%). 3) The prediction equations of AME, TME, AMEn and TMEn of rapeseed meal were established through stepwise regression analysis:AME=0.010 7PS+0.226 5EE+8.352 8 (R2=0.708 1, P<0.01); TME=0.011 4PS+0.223 9EE+9.103 3 (R2=0.704 7, P<0.01); AMEn=1.091 6GE+0.019 3PS-0.234 0DM-0.158 9CF+0.059 9ADF+10.111 9 (R2=0.858 2, P<0.05); TMEn=0.794 5GE-0.214 3CF-1.781 7(R2=0.762 6, P<0.01). In conclusion, the metabolizable energy values of rapeseed meals from different sources for Cherry Valley young male ducks are different, and the regression prediction equation of metabolizable energy values can be established by the nutrients of rapeseed meal.

Key words： meat ducks; rapeseed meal; metabolizable energy values; prediction equation

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