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Comparison of linear and non-linear decision boundaries to detect feedlot bloat using intensive data collection systems on Angus × Hereford steers.
Macias Franco, A; da Silva, A E M; Hurtado, P J; de Moura, F H; Huber, S; Fonseca, M A.
Affiliation
  • Macias Franco A; Department of Agriculture, Veterinary, & Rangeland Sciences, University of Nevada, Reno, NV 89557, United States.
  • da Silva AEM; Department of Agriculture, Veterinary, & Rangeland Sciences, University of Nevada, Reno, NV 89557, United States.
  • Hurtado PJ; Department of Mathematics and Statistics, University of Nevada, Reno, NV 89557, United States.
  • de Moura FH; Department of Agriculture, Veterinary, & Rangeland Sciences, University of Nevada, Reno, NV 89557, United States.
  • Huber S; Department of Agriculture, Veterinary, & Rangeland Sciences, University of Nevada, Reno, NV 89557, United States.
  • Fonseca MA; Department of Agriculture, Veterinary, & Rangeland Sciences, University of Nevada, Reno, NV 89557, United States; College of Agriculture, Biotechnology & Natural Resources, University of Nevada, Reno, NV 89557, United States. Electronic address: mfonseca@unr.edu.
Animal ; 17 Suppl 5: 100809, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37612227
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diet / Animal Feed Type of study: Prognostic_studies Limits: Animals Language: En Journal: Animal Year: 2023 Document type: Article Affiliation country:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diet / Animal Feed Type of study: Prognostic_studies Limits: Animals Language: En Journal: Animal Year: 2023 Document type: Article Affiliation country: