Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sathya Sujani"'
Autor:
Barbara Roqueto dos Reis, Ryan K. Wright, Riley Thompson, Nikki Tabatabai, Katherine Amirault, Sathya Sujani, Robin R. White
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
This study evaluated the feasibility of utilizing a continuous glucose monitors (CGM) designed for use in humans to measure glucose levels in sheep. Four Suffolk x Dorset sheep were fitted with jugular catheters and FreeStyle Libre 2 (Abbott®) gluco
Externí odkaz:
https://doaj.org/article/89b8713ff69f44beae01b41e4f408b47
Autor:
Sathya Sujani, Barbara R. dos Reis, Mark D. Ellett, Holly H. Schramm, Emma T. Helm, Robin R. White
Publikováno v:
Frontiers in Veterinary Science, Vol 10 (2023)
The objective of the present study was to investigate the interaction of plane of nutrition and naturally occurring coccidiosis on finisher lamb growth performance, FAMACHA score, and rumen volatile fatty acid profile. The study included 30 Suffolk,
Externí odkaz:
https://doaj.org/article/4970831939834ef7816a88ec51524ec0
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9281 (2023)
Heat stress (HS) negatively affects animal productivity and welfare. The usage of wearable sensors to detect behavioral changes in ruminants undergoing HS has not been well studied. This study aimed to investigate changes in sheep’s behavior using
Externí odkaz:
https://doaj.org/article/a63f54fc023e40ceb9c02994ee838589
Autor:
Abbey Knoepfel, Na Liu, Yuchen Hou, Sathya Sujani, Barbara Roqueto dos Reis, Robin White, Kai Wang, Bed Poudel, Sanju Gupta, Shashank Priya
Publikováno v:
Biosensors, Vol 12, Iss 10, p 837 (2022)
In order to ensure the health and welfare of livestock, there has been an emphasis on precision farming of ruminant animals. Monitoring the life index of ruminant animals is of importance for intelligent farming. Here, a wearable sensor for monitorin
Externí odkaz:
https://doaj.org/article/356a0423a8644504823e31c76d6df80a
Ruminant livestock play a vital role in fulfilling the nutrient requirements of humans by providing protein, energy, and essential microminerals. With the increasing demand for meat and dairy products, the ruminant industry must continue to improve t
Externí odkaz:
http://hdl.handle.net/10919/115592
Publikováno v:
Journal of Animal Science. 101
The objective of this study was to leverage a frequentist (ELN) and Bayesian learning (BLN) network analyses to summarize quantitative associations among variables measured in 4 previously published dual-flow continuous culture fermentation experimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e521807541072d8897a9164b4db9e6f
https://doi.org/10.1093/jas/skad085
https://doi.org/10.1093/jas/skad085
Autor:
Sathya Sujani, Robin R White
Publikováno v:
Journal of Animal Science. 100:364-365
Although individual studies on the milk component responses to diet and rumen fermentation parameters, notably rumen pH, have identified relationships, these have not been widely summarized. Therefore, a meta-analysis was conducted with the objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600db7dde2a0140d471d89a7466ef84c
https://doi.org/10.1093/jas/skac247.665
https://doi.org/10.1093/jas/skac247.665
Autor:
Sathya Sujani, Robin R White
Publikováno v:
Journal of Animal Science. 100:177-178
The objective of this meta-analysis was to explore variability in milk production associated with rumen fermentation parameters and diet characteristics. Data were extracted from 138 journal articles and used to derive 6 models to predict MY. Each mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fcdeee13e54018b365e454480567c8a
https://doi.org/10.1093/jas/skac247.327
https://doi.org/10.1093/jas/skac247.327
Publikováno v:
Asian Journal of Animal Sciences. 11:171-176
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d4f9a463559e35aa1fb2d1e2e6c62f
https://doi.org/10.3923/ajas.2017.171.176
https://doi.org/10.3923/ajas.2017.171.176