Lying behavior is an important indicator of the cows’ welfare and health. In this study, we evaluate the effect of the physical environment on dairy cows’ behaviors raised on a silvopastoral system through a predictive model. There was a difference (p<0.01) in soil surface temperature (SST) and black globe-humidity index (BGHI) between the shaded and sunny areas of the silvopastoral system. The BGHI was the variable most important to classify the cows’ decision to seek shaded or sunny areas, while the soil surface temperature affected the choice for the area to perform the lying behaviors. In order to understand the influence of these parameters on cows’ lying behavior, we developed another predictive model relating the SST and BGHI with cows lying at shaded and sunny areas. There was significance (p<0.01) for all model parameters. The odds of cows lying increased by approximately 2% with each degree of SST. In contrast, the probability of the cows lying in the shaded areas was 35% less than in sunny areas. The model developed in this study was efficient in identifying changes in the behavior of dairy cows in relation to physical environment. The BGHI influenced the areas used by cows to performing their standing behavior, while the areas used for lying behavior were influenced by the SST.

躺卧行为是奶牛福利和健康的重要指标。在本研究中，我们通过预测模型评估了物理环境对林牧系统中饲养的奶牛行为的影响。林牧系统阴凉区和阳光区的土壤表面温度 (SST) 和黑球湿度指数 (BGHI) 存在差异 ( p < 0.01)。BGHI 是对奶牛寻找阴凉或阳光充足区域的决定进行分类的最重要变量，而土壤表面温度影响了该区域进行躺卧行为的选择。为了了解这些参数对奶牛躺卧行为的影响，我们开发了另一个预测模型，将 SST 和 BGHI 与躺在阴影和阳光充足区域的奶牛联系起来。有重要意义（对于所有模型参数，p <0.01)。每升一级 SST，奶牛躺卧的几率增加约 2%。相比之下，母牛躺在阴影区域的概率比阳光区域低 35%。本研究中开发的模型可有效识别与物理环境相关的奶牛行为变化。BGHI 影响奶牛用于执行站立行为的区域，而用于躺卧行为的区域受 SST 的影响。