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Correlation of Ambient Temperature With Feedlot Cattle Morbidity and Mortality in the Texas Panhandle

机译:环境温度与德克萨斯泛安格尔德的饲料牛发病率和死亡率的相关性

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Anecdotal data would suggest that weather patterns influence beef cattle health in feedyards, and cattle producers often associate the seasonality of some illnesses with changes in environmental temperatures. However, to our knowledge, there is little information from large-scale feeding operations and precision weather stations that establishes a link or lack thereof between weather patterns and cattle health. Additionally, we are unaware of any studies correlating other weather parameters with animal health data. Therefore, the objective of this study was to test for associations between monthly temperature variation and animal morbidity/mortality in feedlots in the Texas Panhandle. Weather data was collected from a Texas Tech University Mesonet weather station in close proximity to 19 beef cattle feed yards in the Texas Panhandle. Additionally, near real-time morbidity and mortality data was collected from those yards from 2015 - 2018. These data document a seasonal pattern relative to cattle morbidity and mortality with most health events occurring from November to January. This pattern is differentiated when comparing morbidity and mortality by listed causation (e.g., respiratory, digestive, other), and the majority of deaths over the entire time course were attributed to respiratory disease. Most cattle morbidity and was documented in the winter months, most of which were classified as respiratory disorders. Additionally, an increase in health events was observed as the population of the feedyard increased. However, the overall effects of ambient temperature on cattle health were minimal and the two may not be causally linked.The initial overview of the relationships documented in this manuscript may warrant further stratification and exploration.
机译:轶事数据建议天气模式影响饲养场所的牛肉健康,牛生产商通常会使一些疾病的季节性与环境温度的变化相关联。然而,为了我们的知识,大规模喂养运营和精密气象站的信息很少,在天气模式和牛健康之间建立一个链接或缺乏。此外,我们没有意识到任何与动物健康数据相关的研究。因此,本研究的目的是测试德克萨斯泛仓中每月温度变异和动物发病率/死亡率之间的关联。天气数据是从德克萨斯州理工大学Mesonet气象站收集到德克萨斯州Panhandle的19牛肉饲料码附近。此外,从2015年2015年的那些码处收集了近期实时发病率和死亡率数据。这些数据文件在11月至1月开始的牛发病率和死亡率的季节性模式。当通过列出的原因(例如,呼吸,消化,其他)比较发病率和死亡率,以及整个时间课程的大多数死亡归因于呼吸系统症时,这种模式归因于呼吸系统疾病。大多数牛发病率并被记录在冬季,其中大部分被归类为呼吸系统障碍。此外,随着饲料表的群体增加,观察到健康事件的增加。然而,环境温度对牛健康的总体影响最小,两者可能不会因因果关系而导致。在本手稿中记录的关系的初步概述可能需要进一步的分层和探索。

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