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应用物联网技术加速畜禽精准饲喂:从概念到实施

Accelerating precision feeding with the internet of things for livestock:From concept to implementation
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摘要 Maximizing sow reproductive performance is vital for ensuring healthy piglet supply,feed efficiency,and profitability,which requires understanding factors such as nutrition,disease control,genetics,herd management,and their interplay.It is well documented that most reproductive issues in sows stem from extreme fluctuations in body reserves[1].Thus,optimizing reproduction should prioritize regulating body reserves and making continuous nutritional adjustments throughout a sow’s life[1,2].However,the traditional one-size-fits-all feeding strategy may not meet individual sow needs under varying conditions.This feeding strategy leads to nutrient under-or over-feeding,which may result in a lack of performance and health issues on the one hand,and economic loss and negative environmental effects on the other.
作者 苏家宜 谭碧娥 蒋宗勇 吴德 C.M.Nyachoti Sung Woo Kim 印遇龙 王婧 Jiayi Su;Bi'e Tan;Zongyong Jiang;De Wu;C.M.Nyachoti;Sung Woo Kim;Yulong Yin;Jing Wang(Key Laboratory of Hunan Province for the Products Quality Regulation of Livestock and Poultry,College of Animal Science and Technology,Hunan Agricultural University,Changsha 410128,China;Institute of Animal Science,Guangdong Academy of Agricultural Sciences,Guangzhou 510640,China;Key Laboratory for Animal Disease-Resistant Nutrition of the Ministry of Education of China,and Animal Nutrition Institute,Sichuan Agricultural University,Chengdu 611130,China;Department of Animal Science,University of Manitoba,Winnipeg R3T 2N2,Canada;Department of Animal Science,North Carolina State University,Raleigh 27695,USA;Laboratory of Animal Nutritional Physiology and Metabolic Process,Key Laboratory of Agro-Ecological Processes in Subtropical Region,National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production,Institute of Subtropical Agriculture,Chinese Academy of Sciences,Changsha 410128,China;Yuelushan Laboratory,Changsha 410128,China)
出处 《Science Bulletin》 SCIE EI CAS CSCD 2024年第14期2156-2160,共5页 科学通报(英文版)
基金 supported by the National Key Research and Development Program of China(2021YFD1300401,2022YFD1300403) the National Natural Science Foundation of China(U20A2054,U22A20510,32072745,32102571,32130099) Excellent Youth Foundation of Hunan Province(2022JJ20027) Earmarked Fund for China Agriculture Research System(CARS-35)。
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