应用近红外光谱分析技术预测小麦肉鸭代谢能的研究

被引：8

作者：

于梦超

常雅琦

赵华

陈小玲

田刚

刘光芒

蔡景义

贾刚

机构：

[1] 四川农业大学动物营养研究所

来源：

动物营养学报 | 2018年 / 30卷 / 06期

关键词：

小麦; 肉鸭; 表观代谢能; 近红外光谱分析技术; 预测模型;

D O I：

暂无

中图分类号：

S834.5 [];

学科分类号：

摘要：

本试验旨在实测不同来源小麦的肉鸭表观代谢能(AME),并利用近红外光谱分析技术(NIRS)构建其预测模型。选用1周龄的樱桃谷肉鸭410只,随机分为41个处理,每个处理5个重复,每个重复2只肉鸭,各处理肉鸭分别饲喂玉米-豆粕型基础饲粮和40种小麦替代饲粮(含20%小麦)。用套算法计算小麦的AME,然后利用NIRS建立小麦AME的预测模型。结果表明,不同来源小麦的肉鸭AME为11.03～14.34 MJ/kg,变异系数为5.58%;小麦AME与粗纤维(CF)、中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)含量呈极显著负相关(P<0.01),与粗脂肪含量(EE)呈极显著正相关(P<0.01)。小麦AME的预测模型的定标决定系数、定标标准差和交叉验证相对标准差分别为0.85、0.187 MJ/kg和1.70%;外部验证决定系数、外部验证相对标准差和外部验证相对分析误差分别为0.89、1.46%和3.23%。由此可见,不同来源小麦肉鸭AM E和化学成分含量存在差异,其AM E的变异与其化学成分相关,应用NIRS预测小麦的肉鸭AM E的结果"良好"。

引用

页码：2294 / 2302

页数：9

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