Literature DB >> 31554711

Data-driven approach to using individual cattle weights to estimate mean adult dairy cattle weight.

Hannah Schubert1, Sarah Wood2, Kristen Reyher2, Harriet Mills2,3.   

Abstract

BACKGROUND: Knowledge of accurate weights of cattle is crucial for effective dosing of individual animals and for reporting antimicrobial usage. For the first time, we provide an evidence-based estimate of the average weight of UK dairy cattle to better inform farmers, veterinarians and the scientific community.
METHODS: Data were collected for 2747 lactating dairy cattle from 20 farms in the UK. Data were used to calculate a mean weight for lactating dairy cattle by breed and a UK-specific mean weight. Trends in weight by lactation number and production level were also explored.
RESULTS: Mean weight for adult dairy cattle in this study was 617 kg (sd=85.6 kg). Mean weight varied across breeds, with a range of 466 kg (sd=56.0 kg, Jersey) to 636 kg (sd=84.1, Holsteins). When scaled to UK breed proportions, the estimated UK-specific mean weight was 620 kg.
CONCLUSION: This study is the first to calculate a mean weight of adult dairy cattle in the UK based on on-farm data. Overall mean weight was higher than that most often proposed in the literature (600 kg). Evidence-informed weights are crucial as the UK works to better monitor and report metrics to measure antimicrobial use and are useful to farmers and veterinarians to inform dosing decisions. © British Veterinary Association 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Dairy cattle; antimicrobial usage; automatic milking systems; medicine dosing; weight

Mesh:

Substances:

Year:  2019        PMID: 31554711     DOI: 10.1136/vr.105471

Source DB:  PubMed          Journal:  Vet Rec        ISSN: 0042-4900            Impact factor:   2.695


  1 in total

1.  Wild meat hunting and use by sedentarised Baka Pygmies in southeastern Cameroon.

Authors:  Eva Avila Martin; Guillermo Ros Brull; Stephan M Funk; Luca Luiselli; Robert Okale; John E Fa
Journal:  PeerJ       Date:  2020-09-17       Impact factor: 2.984

  1 in total

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