Ausvet, 34 Thynne St, Bruce, ACT 2617, Australia; Murdoch University, 90 South St, Murdoch, WA 6150, Australia.
Ausvet, 34 Thynne St, Bruce, ACT 2617, Australia; The University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia.
Prev Vet Med. 2022 Oct;207:105655. doi: 10.1016/j.prevetmed.2022.105655. Epub 2022 Apr 26.
The occurrence of bushfires (wildfires) is increasing with climate change in many areas of the world. In Australia, the 2019/20 bushfire season involved a particularly severe and widespread fire emergency (the 'Black Summer' bushfires). Understanding of how exposure to bushfires affects specific disease processes in livestock is limited. This research investigated spatiotemporal relationships between exposure to bushfires and observations of pneumonia and pleurisy in slaughtered sheep, and meat quality in slaughtered cattle. Two related cross-sectional studies were undertaken using historical abattoir monitoring data from the National Sheep Health Monitoring Project and the Meat Standards Australia Program. The study area involved the Australian states of New South Wales and Victoria, and the Australian Capital Territory, which were heavily affected by the 'Black Summer' bushfires. Carcase data were matched to fire occurrence data and to potential confounders including rainfall, pasture growth and pasture biomass indices for the farm of origin. The predictive approach to modelling included generalised additive mixed effects models and a generalised linear mixed model. Consistent though imprecise trends in pneumonia occurrence in sheep carcases were observed across time and distance since exposure to fire, with sheep slaughtered in the immediate aftermath of exposure to high intensity fires at a close distance having the highest occurrence (3.78 cases per 1000 sheep slaughtered 5 days after exposure to medium-to-high intensity fire at 0.5 km distance (95% CI 0.48, 30.02), compared to 0.387 cases per 1000 slaughtered sheep (95% CI 0.147, 1.02) across the study population). However, the economic implications of this for producers and processors are considered to be very limited. No such trends were observed in regards to pleurisy occurrence in sheep. Consistent trends were observed in meat quality in cattle carcases, with lower meat quality scores observed in cattle slaughtered after close proximity to fire (mean MSA index of 57.12 for cattle slaughtered 5 days after exposure to medium-to-high intensity fire at 0.5 km distance (95% CI 56.91, 57.34), compared to a mean of 57.65 (95% CI 57.60, 57.71) across the study population). In the aftermath of exposure to mid-to-high intensity fires, this may warrant consideration in withholding cattle from slaughter from an economic perspective, after decisions based on welfare grounds have been made. These observations will inform practical recommendations to improve health and productivity outcomes in management of bushfire-affected livestock. The observed trends may reflect causal relationships, but this requires further investigation with specific explanatory modelling studies.
随着世界上许多地区气候变化的发生,丛林大火(野火)的发生频率正在增加。在澳大利亚,2019/20 年丛林大火季节涉及到一场特别严重和广泛的火灾紧急情况(“黑色夏天”丛林大火)。人们对暴露于丛林大火如何影响牲畜特定疾病过程的理解有限。这项研究调查了暴露于丛林大火与屠宰绵羊肺炎和胸膜炎观察结果以及屠宰牛的肉质之间的时空关系。使用来自国家绵羊健康监测计划和澳大利亚肉类标准计划的历史屠宰场监测数据,进行了两项相关的横断面研究。研究区域涉及澳大利亚新南威尔士州和维多利亚州以及澳大利亚首都直辖区,这些地区受到“黑色夏天”丛林大火的严重影响。将 carcass 数据与火灾发生数据以及潜在的混杂因素(包括降雨、牧场生长和牧场生物量指数)进行匹配,这些因素来自牲畜的原籍农场。预测模型的方法包括广义加性混合效应模型和广义线性混合模型。尽管不精确,但在绵羊 carcass 肺炎发生率方面,随着时间的推移和距离的远近,观察到了一致的趋势,与暴露于高强度火灾后近距离屠宰的绵羊相比,在距离 0.5 公里处暴露于中高强度火灾后 5 天屠宰的绵羊的肺炎发生率最高(每 1000 只绵羊屠宰 3.78 例(95%CI 0.48,30.02),而在整个研究人群中每 1000 只绵羊屠宰 0.387 例(95%CI 0.147,1.02))。然而,生产者和加工者认为这对他们的经济影响非常有限。在绵羊胸膜发生方面未观察到这种趋势。在牛 carcass 的肉质方面观察到一致的趋势,在近距离接触火灾后屠宰的牛的肉质评分较低(5 天暴露于 0.5 公里处中高强度火灾后屠宰的牛的平均 MSA 指数为 57.12(95%CI 56.91,57.34),而在整个研究人群中,平均为 57.65(95%CI 57.60,57.71))。在暴露于中高强度火灾之后,从经济角度来看,在基于福利做出决定之后,可能需要考虑将牛从屠宰中扣留,这一点需要考虑。这些观察结果将为改善受丛林火灾影响的牲畜管理中的健康和生产力结果提供实际建议。观察到的趋势可能反映了因果关系,但这需要进一步调查,通过具体的解释性建模研究来进行。