Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Xiaogang, Yan"'
Publikováno v:
Animals, Vol 14, Iss 21, p 3061 (2024)
In order to further reveal the special characteristics of energy metabolism and the characteristics of energy requirements of fattening pigs grown in low-temperature environments, this study used a 2 × 2 × 2 factorial array of treatments, which har
Externí odkaz:
https://doaj.org/article/012383f19a0e4fdeb01017707fda9c07
Autor:
Adrian Schütz, Vishal Bharmauria, Xiaogang Yan, Hongying Wang, Frank Bremmer, J. Douglas Crawford
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-16 (2023)
Abstract Visual landmarks influence spatial cognition and behavior, but their influence on visual codes for action is poorly understood. Here, we test landmark influence on the visual response to saccade targets recorded from 312 frontal and 256 supp
Externí odkaz:
https://doaj.org/article/e9a029c968344b188327d169d0d889d6
Metabolizable and Net Energy Values of Expanded Cottonseed Meal for Laying Hens and Broiler Chickens
Publikováno v:
The Journal of Poultry Science, Vol 59, Iss 2, Pp 143-151 (2022)
Three experiments were conducted to determine the metabolizable energy (ME) and net energy (NE) values of expanded cottonseed meal (ECSM) for broilers aged 14-16 days (Experiment 1), broilers aged 28-30 days (Experiment 2), and 45-week-old Hy-Line Br
Externí odkaz:
https://doaj.org/article/cbae25822aaf4ca081c810a7a9633a57
Autor:
Nishchal K. Sharma, Zhibin Ban, Hank L. Classen, Huaming Yang, Xiaogang Yan, Mingan Choct, Shu-Biao Wu
Publikováno v:
Animal Nutrition, Vol 7, Iss 2, Pp 506-511 (2021)
Pea starch consists predominantly of C-type of amylopectin chain which is more resistant to digestive enzymes than A-type of starch thus slowly digested in poultry. It was hypothesized that the presence of slowly digested pea starch in broiler diets
Externí odkaz:
https://doaj.org/article/a27514fa57eb45be9e5b513c5ca965de
Autor:
Serah Seo, Bharmauria, Vishal, Schütz, Adrian, Xiaogang Yan, Hongying Wang, Crawford, J. Douglas
Publikováno v:
eNeuro; Aug2024, Vol. 11 Issue 8, p1-22, 22p
Autor:
Long Chen, Zijian Zhao, Wei Yu, Lin Zheng, Lijia Li, Wei Gu, Haiyan Xu, Bingdong Wei, Xiaogang Yan
Publikováno v:
AMB Express, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Bacillus velezensis is widely used for agricultural biocontrol, due to its ability to enhance plant growth while suppressing the growth of microbial pathogens. However, there are few reports on its application in fermented feed. Here, a two-
Externí odkaz:
https://doaj.org/article/27d77685847b4719ad291e7399b1069c
Publikováno v:
Fermentation, Vol 9, Iss 2, p 186 (2023)
Enteric methane (CH4) is an important greenhouse gas emitted by ruminants. Cervidae produces less CH4 than other ruminants, but the underlying mechanism remains unclear. Here, we measured and compared the gas production, nutrient digestibility, gut m
Externí odkaz:
https://doaj.org/article/07cbbcbd22c74f78bf6def499c3096e8
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Humans initially learn about objects through the sense of touch, in a process called “haptic exploration.” In this paper, we present a neural network model of this learning process. The model implements two key assumptions. The first is that hapt
Externí odkaz:
https://doaj.org/article/1026db36caf944838114e32515501a59
Autor:
Long Chen, Wanying Chen, Boyu Zheng, Wei Yu, Lin Zheng, Zihui Qu, Xiaogang Yan, Bingdong Wei, Zijian Zhao
Publikováno v:
Applied Microbiology and Biotechnology. 106:6077-6094
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::514a57a3bef26be28c99c5ab7f73e1b4
https://doi.org/10.1007/s00253-022-12130-7
https://doi.org/10.1007/s00253-022-12130-7
Autor:
Runhang Li, Zhanwei Teng, Chaoli Lang, Haizhu Zhou, Weiguang Zhong, Zhibin Ban, Xiaogang Yan, Huaming Yang, Mohammed Hamdy Farouk, Yujie Lou
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0214777 (2019)
Emission from ruminants has become one of the largest sources of anthropogenic methane emission in China. The structure of the rumen flora has a significant effect on methane production. To establish a more accurate prediction model for methane produ
Externí odkaz:
https://doaj.org/article/75e70786f89148789cef3fe601cdb655