近红外反射光谱技术评定棉籽粕营养价值和蛋公鸡代谢能

李玉鹏; 年芳; 李爱科; 王薇薇; 陆辉; 王丽

doi:10.3969/j.issn.1006-267x.2016.07.006

动物营养学报 >

2016 , Vol. 28 >Issue 7: 2013 - 2023

DOI: https://doi.org/10.3969/j.issn.1006-267x.2016.07.006

禽营养 Poultry Nutrition

近红外反射光谱技术评定棉籽粕营养价值和蛋公鸡代谢能

李玉鹏 ,
年芳 ,
李爱科 ,
王薇薇 ,
陆辉 ,
王丽

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1. 甘肃农业大学动物科学与技术学院, 兰州 730070;
2. 国家粮食局科学研究院, 北京 100037;
3. 甘肃农业大学理学院, 兰州 730070

收稿日期: 2016-01-12

网络出版日期: 2016-07-28

基金资助

国家科技支撑计划课题（2014BAD08B00）；“十二五”农村领域国家科技计划课题（2014BAD08B11）

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Determination of Nutrient Value and Metabolizable Energy of Roosters in Cottonseed Meal by Near-Infrared Reflectance Spectroscopy

LI Yupeng ,
NIAN Fang ,
LI Aike ,
WANG Weiwei ,
LU Hui ,
WANG Li

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1. College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China;
2. Academy of State Administration of Grain, Beijing 100037, China;
3. College of Science, Gansu Agricultural University, Lanzhou 730070, China

Received date: 2016-01-12

Online published: 2016-07-28

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摘要

本试验旨在探讨利用近红外反射光谱技术测定棉籽粕常规营养成分含量和蛋公鸡代谢能的可行性。从全国范围内收集76个不同产地、年份、加工方式的棉籽粕样品，测定其常规营养成分含量，并通过蛋公鸡强饲试验测定其表观代谢能和真代谢能。随机选取定标集（n=56）和外部验证集（n=20）样品，建立近红外定标模型。结果表明：1）不同来源棉籽粕的营养成分和蛋公鸡代谢能变异较大，变异系数为2.52%～84.75%，其中水分、粗脂肪、粗纤维、表观代谢能和真代谢能的变异系数超过10%；粗蛋白质、粗灰分和总能的变异系数分别为9.58%、9.81%和2.52%。2）水分、粗蛋白质、粗脂肪、粗纤维、粗灰分和总能的定标决定系数为0.923 5～0.975 8，交互验证决定系数为0.824 7～0.930 3，外部验证决定系数为0.879～0.896；表观代谢能和真代谢能的定标决定系数为0.969 0和0.926 8，交互验证决定系数为0.917 0和0.905 7，外部验证决定系数为0.911和0.892。因此，常规营养成分和代谢能的定标方程均可用于日常分析。

关键词： 近红外反射光谱; 棉籽粕; 常规营养成分; 代谢能

本文引用格式

李玉鹏 , 年芳 , 李爱科 , 王薇薇 , 陆辉 , 王丽 . 近红外反射光谱技术评定棉籽粕营养价值和蛋公鸡代谢能[J]. 动物营养学报, 2016 , 28(7) : 2013 -2023 . DOI: 10.3969/j.issn.1006-267x.2016.07.006

Abstract

This experiment aimed at exploring the possibility of determination of common nutrient contents and metabolizable energy of roosters in cottonseed meal by near-infrared reflectance spectroscopy (NIRS). A total of 76 cottonseed meal samples with different producing areas, years and processing methods were collected from all over China. The common nutrients of samples were analyzed, and apparent metabolizable energy and true metabolizable energy of roosters were measured by strong feeding experiment. All the samples were divided into calibration set (n=56) and external validation set (n=20) randomly. Then NIRS calibration models were established. The results showed that: 1) the variation ranges of common nutrients and metabolizable energy were large among different cottonseed meal samples, and coefficient of variation was ranged from 2.52% to 84.75%. Coefficient of variation for moisture, ether extract, crude fiber, apparent metabolizable energy and true metabolizable energy were exceeded 10%; coefficient of variation for crude protein, ash and gross energy were 9.58%, 9.81% and 2.52%, respectively. 2) The coefficient of determination for calibration, coefficient of determination for cross-validation and coefficient of determination for external validation for moisture, crude protein, ether extract, crude fiber, ash and gross energy were ranged from 0.923 5 to 0.975 8, 0.824 7 to 0.930 3 and 0.879 to 0.896, respectively. While the coefficient of determination for calibration, coefficient of determination for cross-validation and coefficient of determination for external validation of apparent metabolizable energy and true metabolizable energy were 0.969 0 and 0.926 8, 0.917 0 and 0.905 7, 0.911 and 0.892, respectively. It is concluded that calibration equation for common nutrients and metabolism can be used for routine analysis.

Key words： near-infrared reflectance spectroscopy; cottonseed meal; common nutrients; metabolizable energy

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