摘要
近年来,随着生猪养殖产业逐渐扩大,饲料资源需求量逐渐增加.非常规饲料具有来源广、种类多、产量大、营养物质丰富的特点,是常规饲料资源必不可少的替代品.因此,合理有效地开发和利用非常规饲料资源是缓解常规饲料资源不足、降低生猪养殖成本、提高经济效益和生态效益、促进生猪养殖业和饲料行业健康可持续发展的重要途径.我国非常规饲料资源主要来源于农副产品和食品工业副产品,包括秸秆秕壳类、饼粕类、糟渣类和木本类等.目前,非常规饲料资源在生猪养殖业中的研究主要集中在生长性能、养分表观消化率、肉品质、抗氧化能力、免疫功能和肠道微生物等方面.文章简要阐述了非常规饲料资源的种类、特性和利用技术,主要介绍了其在生猪养殖业中的应用,分析了非常规饲料资源在开发利用中存在的一些问题及解决方案,为我国生猪养殖业和饲料行业的发展提供参考.
Abstract
In recent years,as the pig breeding industry expands,the demand for feed resources is gradually expanding.Unconventional feed has the characteristics of a wide range of sources,a variety of types,large output,and rich nutritional substances,and is an indispensable substitute for conventional feed resources.Therefore,the reasonable and effective development and use of unconventional feed resources is an important way to alleviate the shortage of conventional feed resources,reduce the cost of pig farming,improve economic and ecological benefits,and promote the healthy and sustainable development of pig farming and feed industry.Unconventional feed resources in China mainly come from agricultural by-products and food industry by-products,including straw and husk,cake and meal,dregs and woody species.At present,the research on unconventional feed resources in pig farming mainly focuses on growth performance,nutrient apparent digestibility,meat quality,antioxidant capacity,immune function and intestinal microorganisms.This paper briefly describes the types,characteristics and utilization technology of unconventional feed resources,mainly introduces their application in pig farming,and analyses some problems in the development and utilization of unconventional feed resources and gives solutions.It aims to provide reference for the development of Chinese pig farming and feed industry.
基金项目
清远市创新创业科研团队项目(2018002)
岭南现代农业科学与技术广东省实验室河源分中心自主科研项目(DT20220022)
广东省乡村振兴战略专项(2023KJ465)
广东省乡村振兴战略专项(2023TS-3)
猪禽种业全国重点实验室项目(2023QZ-NK09)
猪禽种业全国重点实验室项目(ZQQZ-03)
科技创新战略专项资金(高水平农科院建设)(R2023PY-JX015)
科技创新战略专项资金(高水平农科院建设)(R2020YJ-YB2002)
江门市科技计划项目(2021660200370006997)
国家科技期刊平台
NSTL
万方数据