2020
DOI: 10.3390/ani10060928
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Predicting Disease in Transition Dairy Cattle Based on Behaviors Measured Before Calving

Abstract: Dairy cattle are particularly susceptible to metritis, hyperketonemia (HYK), and mastitis in the weeks after calving. These high-prevalence transition diseases adversely affect animal welfare, milk production, and profitability. Our aim was to use prepartum behavior to predict which cows have an increased risk of developing these conditions after calving. The behavior of 213 multiparous and 105 primiparous Holsteins was recorded for approximately three weeks before calving by an electronic feeding system. Cows… Show more

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Cited by 12 publications
(8 citation statements)
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“…In a study by Schirmann et al [ 23 ], cows with metritis and SCK had lower dry matter intake during the precalving period and continued to eat less until d 20 postpartum, as compared with healthy cows. In agreement, Sahar et al [ 24 ] reported that cows that spend less time eating during the first 90 min after fresh feed delivery in the prepartum period were at increased risk of developing SCK and metritis in the postpartum period. Interestingly, to the authors’ knowledge, the use of daily CRET to test these associations has not been widely explored.…”
Section: Discussionsupporting
confidence: 60%
“…In a study by Schirmann et al [ 23 ], cows with metritis and SCK had lower dry matter intake during the precalving period and continued to eat less until d 20 postpartum, as compared with healthy cows. In agreement, Sahar et al [ 24 ] reported that cows that spend less time eating during the first 90 min after fresh feed delivery in the prepartum period were at increased risk of developing SCK and metritis in the postpartum period. Interestingly, to the authors’ knowledge, the use of daily CRET to test these associations has not been widely explored.…”
Section: Discussionsupporting
confidence: 60%
“…In a study by Schirmann et al [22], cows with metritis and SCK had lower dry matter intake during the precalving period and continued to eat less until d 20 postpartum, as compared with healthy cows. In agreement, Sahar et al [23] reported that cows that spend less time eating during the rst 90 min after fresh feed delivery in the prepartum period were at increased risk of developing SCK and metritis in the postpartum period. Interestingly, to the authors' knowledge, the use of daily CRET to test these associations has not been widely explored.…”
Section: Discussionsupporting
confidence: 57%
“…Machine learning has been successful at identifying disease in cattle. For example, machine learning identified dairy herds at risk for high prevalence of zoonotic diseases (e.g., tuberculosis; Stański et al, 2021), outbreak patterns of disease such as mastitis (Hyde et al, 2020) and relative changes in cow behavior at parturition which were indicative of transition cow diseases (Sahar et al, 2020). Thus, we suggest that precision technology devices in concert with machine learning techniques hold the potential for monitoring for multiple behavioral changes that may identify calves at risk for developing a BRD bout.…”
Section: Discussionmentioning
confidence: 94%