Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds-Reference-Cited by-同舟云学术

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Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds

Published:2024-07 Issue: Volume: Page:
ISSN:0022-0302
Container-title:Journal of Dairy Science
language:en
Short-container-title:Journal of Dairy Science

Author:

Huot F.^ORCID,Claveau S.^ORCID,Bunel A.^ORCID,Warner D.^ORCID,Santschi D.E.^ORCID,Gervais R.^ORCID,Paquet E.R.^ORCID

Publisher

American Dairy Science Association

Reference73 articles.

1. A mathematical approach to predicting biological values from ruminal pH measurements;Alzahal;J. Dairy Sci.,2007

2. Effect of amount of concentrate offered in automatic milking systems on milking frequency, feeding behavior, and milk production of dairy cattle consuming high amounts of corn silage;Bach;J. Dairy Sci.,2007

3. Fitting linear mixed-effects models using lme4;Bates;J. Stat. Softw.,2015

4. Regulation and nutritional manipulation of milk fat: low-fat milk syndrome;Bauman;Livest. Prod. Sci.,2001

5. New developments in understanding ruminal acidosis in dairy cows;Beauchemin,2009

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