动物营养学报 >

2018 , Vol. 30 >Issue 6: 2294 - 2302

DOI: https://doi.org/10.3969/j.issn.1006-267x.2018.06.033

实验方法 Experimental Methods

应用近红外光谱分析技术预测小麦肉鸭代谢能的研究

展开
  • 四川农业大学动物营养研究所, 成都 611130
于梦超(1989-),女,河南安阳人,硕士研究生,从事饲料资源开发与高效利用研究。E-mail:317448648@qq.com

收稿日期: 2017-12-09

  网络出版日期: 2018-06-20

基金资助

四川省科技支撑计划（2013NZ0054）；四川农业大学双支计划

收起

Study on Estimating Metabolizable Energy of Wheat for Meat Ducks by Near Infrared Reflectance Spectroscopy

Expand
  • Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China

Received date: 2017-12-09

  Online published: 2018-06-20

Fold

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AME和化学成分含量存在差异，其AME的变异与其化学成分相关，应用NIRS预测小麦的肉鸭AME的结果"良好"。

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

本文引用格式

于梦超, 常雅琦, 赵华, 陈小玲, 田刚, 刘光芒, 蔡景义, 贾刚 . 应用近红外光谱分析技术预测小麦肉鸭代谢能的研究[J]. 动物营养学报, 2018 , 30(6) : 2294 -2302 . DOI: 10.3969/j.issn.1006-267x.2018.06.033

Abstract

This study was conducted to measured the apparent metabolizable energy (AME) of wheat for meat ducks and establish the AME predictive models of wheat by using the near infrared reflectance spectroscopy (NIRS). A total 410 one-week-old Cherry Valley meat ducks were randomly assigned to 41 treatments with 5 replicates per treatment and 2 ducks per replicate, meat ducks in the 41 treatments were fed the corn-soybean meal base diet and 40 kinds of wheat substitute diet (contained 20% wheat), respectively. The AME of wheat were measured by the substitution method, and the prediction model of wheat AME was established by NIRS. The results showed that the AME of wheat for meat ducks ranged from 11.03 to 14.34 MJ/kg, and the coefficient of variation was 5.58%. The AME of wheat was significant negative correlated with crude fiber (CF), neutral detergent fiber (NDF) and acid detergent fiber (ADF) contents (P<0.01), however, the AME of wheat was significant positive correlated with ether extract (EE) content (P<0.01). The coefficients of determination of calibration, standard deviation of calibration and relative standard deviation of cross-validation for prediction model of AME of wheat were 0.85, 0.187 MJ/kg and 1.70%; the coefficients of determination of external validation, relative standard deviation of external validation and ratio of performance to deviation of external validation were 0.89, 1.46% and 3.23%. These results indicate that the chemical composition contents and AME are varied among different sources wheat. The AME of wheat is correlated with its chemical composition and it has a good predictive performance of wheat AME by NIRS prediction.

Key words： wheat; meat ducks; apparent metabolizable energy; near infrared reflectance spectroscopy; prediction model

参考文献

[1] BALL M E E,OWENS B,MCCRACKEN K J.The effect of variety and growing conditions on the chemical composition and nutritive value of wheat for broilers[J].Asian-Australasian Journal of Animal Sciences,2013,26(3):378-385.  

[2] MCCRACKEN K J,PRESTON C M,BUTLER C.Effects of wheat variety and specific weight on dietary apparent metabolisable energy concentration and performance of broiler chicks[J].British Poultry Science,2002,43(2):253-260.  

[3] ZHOU L J,ZHANG L Y,ZHANG E X,et al.Rapid determination of swine available energy and amino acids in corn distillers dried grains with solubles by near-infrared reflectance spectroscopy[J].Animal Feed Science and Technology,2012,175(3/4):198-202.

[4] XICCATO G,TROCINO A,CARAZZOLO A,et al.Nutritive evaluation and ingredient prediction of compound feeds for rabbits by near-infrared reflectance spectroscopy (NIRS)[J].Animal Feed Science and Technology,1999,77(3/4):201-212.

[5] COZZOLINO D,FASSIO A,FERNÁNDEZ E,et al.Measurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy[J].Animal Feed Science and Technology,2006,129(3/4):329-336.

[6] LOSADA B,GARCÍA-REBOLLAR P,ÁLVAREZ C,et al.The prediction of apparent metabolisable energy content of oil seeds and oil seed by-products for poultry from its chemical components,in vitro analysis or near-infrared reflectance spectroscopy[J].Animal Feed Science and Technology,2010,160(1/2):62-72.

[7] ADESOGANA A T,OWENA E,GIVENSB D I.Prediction of the in vivo digestibility of whole crop wheat from in vitro digestibility,chemical composition,in situ rumen degradability,in vitro gas production and near infrared reflectance spectroscopy[J].Animal Feed Science and Technology,1998,74(3):259-272.  

[8] 赖立群.基于近红外光谱的小麦品质参数快速检测[D].硕士学位论文.杭州:中国计量学院,2015.

[9] OWENS B,MCCANN M E E,MCCRACKEN K J,et al.Prediction of wheat chemical and physical characteristics and nutritive value by near-infrared reflectance spectroscopy[J].British Poultry Science,2009,50(1):103-122.  

[10] 李军涛.近红外反射光谱快速评定玉米和小麦营养价值的研究[D].博士学位论文.北京:中国农业大学,2014.

[11] KIM J C,MULLAN B P,SIMMINS P H,et al.Variation in the chemical composition of wheats grown in Western Australia as influenced by variety,growing region,season,and post-harvest storage[J].Australian Journal of Agricultural Research,2003,54(6):541-550.  

[12] ZIJLSTRA R T,DE LANGE C F M,PATIENCE J F.Nutritional value of wheat for growing pigs:chemical composition and digestible energy content[J].Canadian Journal of Animal Science,1999,79(2):187-194.  

[13] ZHAO F,ZHANG H F,HOU S S,et al.Predicting metabolizable energy of normal corn from its chemical composition in adult Pekin ducks[J].Poultry Science,2008,87(8):1603-1608.  

[14] WAN H F,CHEN W,QI Z L,et al.Prediction of true metabolizable energy from chemical composition of wheat milling by-products for ducks[J].Poultry Science,2009,88(1):92-97.  

[15] KING D,RAGLAND D,ADEOLA O.Apparent and true metabolizable energy values of feedstuffs for ducks[J].Poultry Science,1997,76(10):1418-1423.  

[16] 樊红平,侯水生,郑旭阳,等.鸡鸭对饲料能量利用的比较研究[J].中国畜牧杂志,2006,42(19):30-32.

[17] 李玉鹏,年芳,李爱科,等.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.

[18] DEAVILLE E R,HUMPHRIES D J,GIVENS D I.Whole crop cereals[J].Animal Feed Science and Technology,2009,149(1/2):114-124.

[19] HABA M J,GARRIDO-VARO A,GUERRERO-GINEL J E,et al.Near-infrared reflectance spectroscopy for predicting amino acids content in intact processed animal proteins[J].Journal of Agricultural and Food Chemistry,2006,54(20):7703-7709.  

[20] CHEN G L,ZHANG B,WU J G,et al.Nondestructive assessment of amino acid composition in rapeseed meal based on intact seeds by near-infrared reflectance spectroscopy[J].Animal Feed Science and Technology,2011,165(1/2):111-119.
Options
文章导航

/

〈 〉

    联系我们

  • 地址：北京市海淀区圆明园西路2号
    　　　中国农业大学动科动医大楼153室
  • 邮编：100193
  • 电话：010－62817823
  • 网址：http://www.chinajan.com
  • E-mail：cjan@chinajan.com
京公网安备 11010802041926号    京ICP备17050989号-2