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The Micro-Environment in Trailers Transporting Market-Weight Pigs in the Midwest during Warm Weather

机译:温暖天气下中西部运输市场重量猪的拖车的微环境

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摘要

The objective of this pilot study was to determine how the micro-environment trailers transporting market-weight pigs’ change during different transport events in Iowa during warm weather. This study was conducted using 4 trailer loads carrying 680 mixed sex market weight (average 128 kg) pigs from commercial finishing facilities to a commercial processing plant all in Iowa. Data loggers were placed in 4 locations inside the trailer and a fifth data logger was placed on the outside of the trailer close to the cab of the truck on the driver’s side. Events of interest were loading, transport, wait time and unloading. Data from the logger placed on the outside of the trailer was used as a covariate in the regression. PROC REG of SAS was used to calculate the R2 value for temperature and relative humidity. Density, outside temperature or relative humidity, and time (minutes) were used as covariates in the models. Graphs were produced using the predicted values from SAS. Temperature increased during all events. Relative humidity increased during loading, but decreased during all other events. During loading, temperature inside the trailer increased by \u3c 1°C and relative humidity increased by ~ 1.5 %. During transport, temperature inside the trailer increased by ~ 10 °C whereas relative humidity decreased by ~ 23 %. During wait time at the plant and unloading, temperature inside the trailer increased by ~ 9 °C. During wait time at the plant, relative humidity inside the trailer decreased by ~ 11 %. During unloading, relative humidity inside the trailer decreased by 5 % whereas temperature increased ~ 8 °C. In conclusion, during warm weather, temperature increased during all transportation events. Therefore, it is important to manage the internal trailer environment to meet the pigs’ thermal comfort zone during transportation.
机译:这项初步研究的目的是确定在温暖的天气期间,在爱荷华州的不同运输事件中,运输市场重量猪的微环境拖车如何变化。这项研究是使用4辆拖车装载的,这些拖车将680头混合性市场重量(平均128公斤)的猪从商业整理设施运到衣阿华的一家商业加工厂。数据记录器放置在拖车内部的四个位置,第五个数据记录器放置在拖车外侧,靠近驾驶员侧卡车的驾驶室。感兴趣的事件是装载,运输,等待时间和卸载。来自位于拖车外部的记录器的数据被用作回归的协变量。 SAS的PROC REG用于计算温度和相对湿度的R2值。在模型中,将密度,外部温度或相对湿度以及时间(分钟)用作协变量。使用SAS的预测值制作图形。在所有事件中温度都会升高。相对湿度在加载过程中增加,但在所有其他事件中降低。在装载过程中,拖车内部的温度增加了1°C,相对湿度增加了约1.5%。在运输过程中,拖车内部的温度上升了〜10°C,而相对湿度下降了〜23%。在工厂等待时间和卸货期间,拖车内部的温度升高了约9°C。在工厂等待期间,拖车内的相对湿度下降了约11%。在卸载过程中,拖车内的相对湿度降低了5%,而温度升高了约8°C。总之,在温暖的天气中,所有运输过程中温度都会升高。因此,重要的是要管理内部拖车环境,以在运输过程中满足猪的热舒适区。

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