Unravelling the temporal association between lameness and body condition score in dairy cattle using a multistate modelling approach

作者: P.Y. Lim , J.N. Huxley , J.A. Willshire , M.J. Green , A.R. Othman

DOI: 10.1016/J.PREVETMED.2014.12.015

关键词: Animal scienceBody condition scoreHerdBody conditionEvent historyDairy cattleLongitudinal studyLamenessIce calvingMedicine

摘要: Recent studies have reported associations between lameness and body condition score (BCS) in dairy cattle, however the impact of change dynamics BCS on both occurrence recovery is currently unknown. The aim this study was to investigate a longitudinal effect transitions from non-lame lame, lame states. A total 731 cows with 6889 observations 4 UK herds were included study. Mobility (MS) recorded every 13-15 days July 2010 until December 2011. multilevel multistate discrete time event history model built transition over time. There 1042 episodes 593 which approximately 50% (519/1042) transitioned state 81% (483/593) ended state. Cows lower at calving (BCS Group 1 (1.00-1.75) 2 (2.00-2.25)) had higher probability compared 2.50-2.75 i.e. they more likely become if less recover. Similarly, who suffered greater decrease (compared their calving) becoming recovering next 15 days. An increase associated converse moving non-lame. Days lactation, months parity there evidence heterogeneity among recovery. This suggests loss could influence risk chance lameness. Regular monitoring maintenance farms be key tool for reducing Further work urgently needed area allow better understanding underlying mechanisms behind these relationships.

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