400 Research paper -Sahar – 2020 – Predicting Disease in Transition Dairy Cattle

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400 Research paper -Sahar – 2020 – Predicting Disease in Transition Dairy Cattle

.l M. Weary
2020 Animals 10: 15p paper
In Significant Impact Groups:
Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Dairy;
Age: Adult;
Summary:
Where to find the original material:
Country: British Columbia, Canada
Dairy cattle often become ill after calving. This article is about models designed topredict which cows are likely to become ill based upon measures of the cows’ feeding and competitivebehaviors before calving. The models had high sensitivity (73–71%), specificity (80–84%), positivepredictive values (73–77%), and negative predictive values (80–80%) for both cows that had previouslycalved and for those calving for the first time. So they concluded that behaviors at the feed bunk beforecalving can predict cows at risk of becoming sick in the weeks after calving.