首页> 外文期刊>The Journal of Nutrition: Official Organ of the American Institute of Nutrition >Analysis of Forage Fiber and Cell Walls in Ruminant Nutrition
【24h】

Analysis of Forage Fiber and Cell Walls in Ruminant Nutrition

机译:反刍动物营养中饲用纤维和细胞壁的分析

获取原文
获取外文期刊封面目录资料

摘要

Analysis of the fiber or cell wall present in forages is of major concern in ruminant nutrition because diets often contain large amounts of forage, and the fiber fraction affects both feed intake and animal performance. Traditional extractive, gravimetric methods such as crude fiber and neutral detergent fiber recover variable amounts of the plant cell wall, but they remain popular because of their ease of use and the large feed data bases available for these methods. More intensive chemical methods utilizing chromatography and spectrometric analysis provide greater detail on cell wall composition and structure, but they have been used little in ruminant nutrition. Lignin analysis has remained problematic because no definitive reference method exists. Recently attention has focused on the measurement of lignin composition and cell wall phenolic acids; however, these methods have yet to be widely adopted in ruminant nutrition. The detergent fiber methods have been semi-automated to increase sample handling capacity. Near-infrared spectroscopy is routinely used for prediction of fiber concentration in forages and has greatly increased the ease of obtaining fiber analysis of forage samples. Widespread adoption in ruminant nutrition of the more sophisticated methods of cell wall analysis is unlikely to occur until these methods can be demonstrated to improve diet formulation and prediction of animal performance.
机译:反刍动物营养中主要关注草料中存在的纤维或细胞壁的分析,因为日粮中通常含有大量草料,并且纤维含量会影响饲料的摄入量和动物的生产性能。传统的萃取,重量分析方法(例如粗纤维和中性洗涤剂纤维)可回收可变数量的植物细胞壁,但由于其易用性和可用于这些方法的大量饲料数据库,它们仍然很受欢迎。利用色谱和光谱分析的更深入的化学方法提供了有关细胞壁组成和结构的更多详细信息,但反刍动物营养方面的应用很少。木质素分析仍然存在问题,因为不存在确定的参考方法。最近,注意力集中在木质素组成和细胞壁酚酸的测量上。但是,这些方法尚未在反刍动物营养中广泛采用。洗涤剂纤维方法已实现半自动化,以提高样品处理能力。近红外光谱法通常用于预测草料中纤维的浓度,并大大提高了获得草料样品纤维分析的难度。在反刍动物营养中,更复杂的细胞壁分析方法不可能被广泛采用,直到可以证明这些方法可以改善饮食配方和预测动物的生长性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号