个人信息

赵峰
赵峰,研究员,博士,博士生导师。2000年获湖南农业大学学士学位;2003年获华中农业大学硕士学位;2006年获中国农业科学院博士学位;2012-2013年在美国明尼苏达大学做访问学者。2006年至今在中国农业科学院北京畜牧兽医研究所工作。主要从事单胃动物饲料养分生物学效价评定研究,现任鸡营养代谢与调控科技创新团队首席科学家。全国动物营养指导委员会肉鸡营养分会委员,农业农村部饲料和饲料添加剂生产许可专家委员会委员。先后入选北京市科技新星,中国农业科学院青年英才。
研究方向与成果
开发了全自动单胃动物仿生消化技术体系、密闭式呼吸测热系统、肉鸡生长智能感知系统等,成果已在90余家国内大型科企单位(其中上市企业26家)推广应用,并出口荷兰、新加坡、巴西、印度等国。与温氏集团、新希望六和、德康、江苏立华、杭州康德权等长期开展饲料原料数据库建设的合作开发。获得发明专利5项(转让3项),软件著作权4项,温氏集团科技进步特等奖1项,省部级奖2项。
1.单胃动物仿生消化系统及基于该系统模拟单胃动物消化的方法,2015年11月,中国专利优秀奖(获奖编号ZL200910078147.1,第一完成人)
2.猪禽饲料养分效价仿生消化评定技术的创建与应用(发明类),2017年11月,中国农业科学院青年科技创新奖(获奖编号2017-QN-05-11-D01,第一完成人)
3.基于仿生消化法的饲用原料黄鸡代谢能值动态数据库的建立及应用. 2016年1月,广东温氏食品集团股份有限公司科技进步特等奖(2015-温-特-01-05,第五完成人)
在研主持项目
先后主持国家自然科学基金5项,省部级项目5项,企业技术合作项目15项。在研项目:
1. 国家自然科学基金面上项目“淀粉消化速度调控肉鸡蛋白质利用及能量分配的规律”(编号:32372896)
2. 国家自然科学基金面上项目“创制程控密闭式测热系统解析肉鸡对饲料能量利用的规律”(编号:32172762)
3. 农业农村部“白羽肉鸡饲料蛋白原料营养价值评价与参数建立”(编号:08250196)
4. 中国农业科学院科技创新工程“鸡营养代谢与调控创新团队”(编号:ASTIP-IAS-08)
5. 四川德康集团技术开发项目“德康集团基于仿生消化创建肉鸡饲料原料营养价值快速评定方法及动态数据库”
6. 十四五重点研发计划子课题“白酒糟和啤酒糟在肉鸡上的营养价值评定”(编号:2021YFD1300205-6)
专利和代表性论文
1. 发明专利:单胃动物仿生消化系统及基于该系统模拟单胃动物消化的方法(ZL200910078147.1,第一发明人,独占许可转让)
2.发明专利:一种高水溶性猪小肠消化酶粉剂及其制备方法与应用(ZL201810965712.5,第一发明人,排他性许可转让)
3.发明专利:程控猪仿生消化系统及使用该系统快速测定猪饲料消化能值的方法(ZL201910360566.8,第一发明人,排他性许可转让)
4.发明专利:一种猪饲料蛋白质消化率的仿生消化测定方法(ZL201811503672.9,第一发明人)
5.发明专利:一种生长猪胃-小肠-大肠仿生消化方法对饲料有效能值估测的应用(ZL202110598619.7,第一发明人)
6.Mingqiang Song, Kai Tian, Cong Ren, Youyou Liu , Xiaomeng Ye, Yuming Wang, Jingjing Xie, Feng Zhao*. Impact of chemical composition on metabolizable energy and its prediction models in brewer's spent grains for broilers at different ages. Poultry Science, 2025, 104: 105323.
7.Yao Yu, Yuming Wang, Kaijing Ge, Jiang Chen, Jingjing Xie, Yi Zou, Songbai Liu, Huize Tan, Feng Zhao*. Comparison of two in vitro methods progressed in a computer-controlled simulated digestion system to determine amino acid digestibility of feed ingredients for yellow-feathered roosters. Poultry Science, 2025, 104: 104738.
8.Mingqiang Song, Cong Ren, Youyou Liu, Xiaomeng Ye, Yuming Wang, Jingjing Xie, Feng Zhao*. Comparison of the characteristics of small intestinal fluid from white-feathered and yellow-feathered broilers. Poultry Science, 2024, 103: 104417.
9.Xiaomeng Ye, Feng Zhao*, Yuming Wang, Jingjing Xie, Hu Zhang, Renna Sa, Zheng Sun, Xiudong Liao, Lin Lu,and Jinghai Feng. Predicting metabolizable energy of soybean meal and rapeseed meal from chemical composition in broilers of different ages. Poultry Science, 2024, 103: 103915.
10.Mingqiang Song, Yuming Wang, Youyou Liu, Cong Ren, Lei Yan, Jingjing Xie, Jinliang Lai, Guilian Zhou, Yong Li, Feng Zhao*.The age-related metabolizable energy of cereal grains, oilseed meals, corn gluten meals, and feather meals for broilers. Journal of Animal Science, 2023,101:skad051
11.Zhongyuan Du, Lixiang Gao, Yuming Wang, Jingjing Xie, Shuli Zeng, Jiangtao Zhao, Renna Sa, Feng Zhao*. A comparative study on in vitro and in vivo stomach–small intestinal and large intestinal digestion of plant protein meals in growing pigs. Journal of Animal Science, 2023,101:skad170.
12.H. S. Liu., F. Zhao*, J. Chen, Y. Zou, Y. Yu, Y. M. Wang, S. B. Liu, H.Z. Tan, R. N. Sa, J.J Xie. Comparison of amino acid digestibility and its additivity determined with slaughter or cecectomy method for yellow-feather chicken. Poultry Science, 2022, 101: 102196.
13.Zhongyuan Du, Yuming Wang, Mingqiang Song, Shuli Zeng, Lixiang Gao, Jiangtao Zhao, Feng Zhao*. An automatically progressed computer-controlled simulated digestion system to predict digestible and metabolizable energy of unconventional plant protein meals for growing pigs. Animal Nutrition, 2022,10: 178-187
14.Yuming Wang, Liting Yin, Hu Zhang, Ke Li, Dailin Li, Feng Zhao*. Accuracy of predicting metabolizable energy from in vitro digestible energy determined with a computer-controlled simulated digestion system in feed ingredients for ducks. Animal Nutrition, 2022, 8:52-60.
15.Y. Yu, F. Zhao*, J. Chen, Y. Zou, S. L. Zeng, S. B. Liu, and H. Z. Tan. Sensitivity of in vitro digestible energy determined with computer-controlled simulated digestion system and its accuracy to predict dietary metabolizable energy for roosters. Poultry Science, 2021,100 :206-214.
16.L. Zhang, F. Zhao*, H. Zhang, G. Z. Bian, Y. M. Wang, X. Yang, and H. Li. Validation of in vitro digestion using simulated small intestinal fluid with specific digestive activity to predict the metabolizable energy of feed ingredients for duck. Poultry Science, 2019, 98: 1280-1287
17.F. Zhao*, L. Zhang, B. M. Mi, H. F. Zhang, S. S. Hou, Z. Y. Zhang. Using a computer-controlled simulated digestion system to predict the energetic value of corn for ducks. Poultry Science,2014,93 :1410–1420
18.F. Zhao*, L. Q. Ren, B. M. Mi, H. Z. Tan, J. T. Zhao, H. Li, H. F. Zhang, Z. Y. Zhang. Developing a computer-controlled simulated digestion system to predict the concentration of metabolizable energy of feedstuffs for rooster. Journal of Animal Science, 2014, 92:1537-1547.
联系方式
联系电话:010-62874840
E-mail: zhaofeng@caas.cn
(简历更新时间 2025-06-20)