豆科和禾本科饲草是反刍动物重要的粗饲料来源之一，其品质优劣直接影响日粮配制。近红外光谱技术以其快速、绿色和便捷等特点广泛应用于饲草营养价值评定。本文基于反刍动物常用饲草营养价值评定指标，阐述了近红外光谱技术的基本原理及应用近红外光谱技术构建饲草营养成分预测模型，综述了基于近红外光谱技术评定饲草营养价值、快速预测饲草可消化养分的研究进展和饲草营养成分近红外光谱技术模型优化与转移，旨在为利用近红外光谱技术分析饲草营养成分含量和可消化养分提供理论依据与技术支撑。

Leguminous and gramineous forages are important sources of roughage for ruminants, and their quality directly affects diet formulation. Near-infrared spectroscopy (NIRS) technology, characterized by its rapidity, environmental friendliness, and convenience, has been widely applied to evaluate forage nutritional value. Based on commonly used nutritional evaluation indicators for ruminant forages, this paper explains the basic principles of NIRS and its application in constructing predictive models for forage nutrient components. It reviews research progress in evaluating forage nutritional value using NIRS, rapid prediction of forage digestible nutrients, and optimization and transfer of NIRS models for forage nutrient components, aiming to provide theoretical basis and technical support for analyzing forage nutrient content and digestible nutrients using NIRS technology.

S816；O433.4

甘肃省科技重大专项计划项目(25ZDNG001)；甘肃省农业科学院人才引进专项(2023GAAS42)；甘肃省科技计划项目(21CXINA363)。