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Year Number of Results
2014 3
2015 1
2016 6
2017 3
2019 7
2020 5
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Automatic monitoring system for individual dairy cows based on a deep learning framework that provides identification via body parts and estimation of body condition score.
Yukun S, Pengju H, Yujie W, Ziqi C, Yang L, Baisheng D, Runze L, Yonggen Z. Yukun S, et al. Among authors: Yonggen Z. J Dairy Sci. 2019 Nov;102(11):10140-10151. doi: 10.3168/jds.2018-16164. Epub 2019 Sep 11. J Dairy Sci. 2019. PMID: 31521348
Screening of live yeast and yeast derivatives for their impact of strain and dose on in vitro ruminal fermentation and microbial profiles with varying media pH levels in high-forage beef cattle diet.
Jiao P, Wei C, Sun Y, Xie X, Zhang Y, Wang S, Hu G, AlZahal O, Yang W. Jiao P, et al. Among authors: Zhang Y. J Sci Food Agric. 2019 Dec;99(15):6751-6760. doi: 10.1002/jsfa.9957. Epub 2019 Aug 27. J Sci Food Agric. 2019. PMID: 31353469
Effects of ruminally degradable starch levels on performance, nitrogen balance, and nutrient digestibility in dairy cows fed low corn-based starch diets.
Luo G, Xu W, Yang J, Li Y, Zhang L, Wang Y, Lin C, Zhang Y. Luo G, et al. Among authors: Zhang L, Zhang Y. Asian-Australas J Anim Sci. 2017 May;30(5):653-659. doi: 10.5713/ajas.16.0371. Epub 2016 Sep 19. Asian-Australas J Anim Sci. 2017. PMID: 27660023 Free PMC article.
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