一、研究方向

　　1、畜禽精准饲喂理论与机电控制技术研究

　　针对畜禽的动物信息感知、数据集成处理及环境监测与控制平台，集成基于畜禽的动态体重预测、环境控制、营养需求动态预测模型等技术，研究满足畜禽精准饲喂的理论与设备装备技术，以期满足畜禽正常生理与生产对精准饲喂的技术需求；从畜禽动物的营养精准喂养方面，研究各自的饲喂设备及其理论，其理论研究内嵌了各种动物的采食量或体重变化与日粮的养分浓度、环境参数的关系模型，同时与环境控制系统结合起来，实现对畜禽动物的体况监测、环境控制与精细化喂养。

　　2、反刍动物营养研究

　　针对奶牛生产中的突出问题，包括由于高精度日粮广泛使用造成的亚急性瘤胃酸中毒、甲烷排放严重、N利用效率低下、围产期能量负平衡等，探讨使用营养调控手段，缓解或解决的方案，并通过体内外结合研究(瘤胃瘘管-瘤胃仿生系统，乳腺-乳腺上皮细胞)的方法，从DNA修饰、转录、翻译、翻译后修饰层面，从器官、组织、细胞、亚细胞角度，揭示其机理和核心调节网络。

　　二、代表性成果

　　1、Jinjin Tong, Hua Zhang, Yonghong Zhang, Benhai Xiong* and Linshu Jiang*. Microbiome and Metabolome Analyses of Milk From Dairy Cows With Subclinical Streptococcus agalactiae Mastitis—Potential Biomarkers. 2019, 10:2597.

　　2、Fuguang Xue, Xuemei Nan, Yunlei Li, Xiaohua Pan, Yuming Guo, Linshu Jiang*, and Benhai Xiong*. Metagenomic insights into effects of thiamine supplementation on ruminal nonmethanogen archaea in high-concentrate diets feeding dairy cows. BMC Veterinary Research, 2019,15:7.

　　3、Fuguang Xue, Fuyu Sun, Linshu Jiang, Dengke Hua, Yue Wang, Xuemei Nan,Yiguang Zhao* and Benhai Xiong*. Animals,2019, 9(10): 852-854.

　　4、Zhao YG, Tang ZW, Nan XM, Sun FY, Jiang LS*, and Xiong BH*. Effects of Lonicera japonica extract on performance and blood biomarkers of inflammation and oxidative stress during perinatal period in dairy cows. Asian-Australas J Anim Sci, online.

　　5、Hua Zhang, Jinjin Tong, Zun Wang, Benhai Xiong*, Linshu Jiang*. Illumina MiSeq sequencing reveals the effects of grape seed procyanidin on rumen archaeal communities in vitro. Asian-Australas J Anim Sci,online.

　　6、Hua Zhang, Jinjin Tong, Yonghong Zhang, Benhai Xiong*, Linshu Jiang*. Metabolomics reveals potential biomarkers in the rumen fluid response to different milk production of dairy cows. Asian-Australas J Anim Sci, online.

　　7、Xiaohua Pan, Xuemei Nan, Liang Yang, Linshu Jiang and Benhai Xiong*. Thiamine status, metabolism and application in dairy cows: a review. British Journal of Nutrition.2018,120: 491–499.

　　8、Fuguang Xue, Xiaohua Pan, Linshu Jiang, Yuming Guo, Benhai Xiong*. GC–MS analysis of the ruminal metabolome response to thiamine supplementation during high grain feeding in dairy cows. Metabolomics, 2018, 14:67.

　　9、Wang, K., X. Nan, K. Chu, J. Tong, L. Yang, S. Zheng, G. Zhao, L. Jiang, and B. Xiong*. Shifts of Hydrogen Metabolism From Methanogenesis to Propionate Production in Response to Replacement of Forage Fiber With Non-forage Fiber Sources in Diets in vitro. Front Microbiol, 2018, 9:2764.

　　10、Xue, F., X. Nan, F. Sun, X. Pan, Y. Guo, L. Jiang, and B. Xiong*. Metagenome sequencing to analyze the impacts of thiamine supplementation on ruminal fungi in dairy cows fed high-concentrate diets. AMB Express, 2018, 8(1):159.

　　11、Xiaohua Pan, Fuguang Xue, Xuemei Nan, Zhiwen Tang, Kun Wang, Yves Beckers,Linshu Jiang and Benhai Xiong*. Frontiers in Microbiology  2017   8(1818):1-10.

　　12、Pan, X. H., L. Yang,Y.Beckers, F. G. Xue, Z. W. Tang, L. S. Jiang, and B. H. Xiong*. Thiamine supplementation facilitates thiamine transporter expression in the rumen epithelium and attenuates high-grain-induced inflammation in low-yielding dairy cows. Journal of Dairy Science, 2017, 100:5329-5342

　　三、创新团队成员

团队首席：唐湘方      资深首席：熊本海

骨干：杨亮、罗清尧、郑姗姗、南雪梅

助理：赵一广、王辉、陈睿鹏、周梦婷、张帆