Literature DB >> 31954578

Quantitative analysis of calf mortality in Great Britain.

Robert M Hyde1, Martin J Green2, Virginia E Sherwin2, Chris Hudson2, Jenny Gibbons3, Tom Forshaw3, Mary Vickers3, Peter M Down2.   

Abstract

National bodies in Great Britain (GB) have expressed concern over young stock health and welfare and identified calf survival as a priority; however, no national data have been available to quantify mortality rates. The aim of this study was to quantify the temporal incidence rate, distributional features, and factors affecting variation in mortality rates in calves in GB since 2011. The purpose was to provide information to national stakeholder groups to inform resource allocation both for knowledge exchange and future research. Cattle birth and death registrations from the national British Cattle Movement Service were analyzed to determine rates of both slaughter and on-farm mortality. The number of births and deaths registered between 2011 and 2018 within GB were 21.2 and 21.6 million, respectively. Of the 3.3 million on-farm deaths, 1.8 million occurred before 24 mo of age (54%) and 818,845 (25%) happened within the first 3 mo of age. The on-farm mortality rate was 3.87% by 3 mo of age, remained relatively stable over time, and was higher for male calves (4.32%) than female calves (3.45%). Dairy calves experience higher on farm mortality rates than nondairy (beef) calves in the first 3 mo of life, with 6.00 and 2.86% mortality rates, respectively. The 0- to 3-mo death rate at slaughterhouse for male dairy calves has increased from 17.40% in 2011 to 26.16% in 2018, and has remained low (<0.5%) for female dairy calves and beef calves of both sexes. Multivariate adaptive regression spline models were able to explain a large degree of the variation in mortality rates (coefficient of determination = 96%). Mean monthly environmental temperature and month of birth appeared to play an important role in neonatal on-farm mortality rates, with increased temperatures significantly reducing mortality rates. Taking the optimal month of birth and environmental temperature as indicators of the best possible environmental conditions, maintaining these conditions throughout the year would be expected to result in a reduction in annual 0- to 3-mo mortality of 37,571 deaths per year, with an estimated economic saving of around £11.6 million (USD $15.3 million) per annum. National cattle registers have great potential for monitoring trends in calf mortality and can provide valuable insights to the cattle industry. Environmental conditions play a significant role in calf mortality rates and further research is needed to explore how to optimize conditions to reduce calf mortality rates in GB.
Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  calf mortality; monitoring; national data

Mesh:

Year:  2020        PMID: 31954578     DOI: 10.3168/jds.2019-17383

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

Review 1.  Factors Affecting the Welfare of Unweaned Dairy Calves Destined for Early Slaughter and Abattoir Animal-Based Indicators Reflecting Their Welfare On-Farm.

Authors:  Laura A Boyle; John F Mee
Journal:  Front Vet Sci       Date:  2021-04-16

2.  Air Quality, Management Practices and Calf Health in Italian Dairy Cattle Farms.

Authors:  Serena Bonizzi; Giulia Gislon; Milena Brasca; Stefano Morandi; Anna Sandrucci; Maddalena Zucali
Journal:  Animals (Basel)       Date:  2022-09-03       Impact factor: 3.231

Review 3.  The Dispensable Surplus Dairy Calf: Is This Issue a "Wicked Problem" and Where Do We Go From Here?

Authors:  Sarah E Bolton; Marina A G von Keyserlingk
Journal:  Front Vet Sci       Date:  2021-04-14

4.  Pre-Weaned Calf Rearing on Northern Irish Dairy Farms: Part 1. A Description of Calf Management and Housing Design.

Authors:  Aaron J Brown; Gillian Scoley; Niamh O'Connell; Jamie Robertson; Amanda Browne; Steven Morrison
Journal:  Animals (Basel)       Date:  2021-06-30       Impact factor: 2.752

  4 in total

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