Instituto de Ciencias Agrícolas, Universidad Autónoma de Baja California, 21705, Mexicali, B.C., México.
Instituto de Ingeniería, Universidad Autónoma de Baja California, 21100, Mexicali, B.C., México.
Trop Anim Health Prod. 2023 May 2;55(3):183. doi: 10.1007/s11250-023-03614-3.
Two hundred Holstein heifers were divided by hair coat color in black (n = 60), white (n = 62), and mixed (n = 78) to accomplish two objectives: (1) to compare physiological variables using an analysis of variance, and (2) to construct regression equations to predict rectal temperature. In each heifer, rectal temperature (RT), respiration frequency (RF), and body surface temperatures (obtained with infrared thermography in eye, nose, forehead, head, neck, ear, shoulder, flank, belly, leg, loin, rump, and vulva) were measured. Black heifers had more RF and RT (P < 0.01) than mixed and white coat heifers; white heifers had similar RT than mixed color heifers, but they exhibited less RF (P < 0.05). In general, black and mixed coat color heifers had higher BST (P < 0.01) than white heifers in the majority of the anatomical regions measured. For black coat heifers, the best regression model to predict RT included three predictor variables: [RT = 35.59 - 0.013 (RH) + 0.045 (RF) + 0.019 (T); R = 71%]. For white coat heifers, the best model included two predictor variables: [RT = 35.29 + 0.035 (RF) + 0.033 (T); R = 71%]; and for mixed coat color heifers, the best model included two predictor variables: [RT = 35.07 + 0.022 (RF) + 0.038 (T); R = 44%]. Heifers with dark hair coat color showed higher physiological constants than white heifers; the prediction of rectal temperature was more precise in heifers with well-defined hair coat color. Physiological and climatic variables, along with infrared thermography, represent an appropriate combination to predict rectal temperature in Holstein heifers with predominant white or black hair coat color.
200 头荷斯坦黑白花小母牛根据毛色分为黑色(n=60)、白色(n=62)和杂色(n=78)三组,旨在完成以下两个目标:(1)利用方差分析比较生理变量;(2)构建回归方程预测直肠温度。在每头小母牛中,测量了直肠温度(RT)、呼吸频率(RF)和体表面温度(通过红外线热成像在眼睛、鼻子、额头、头部、颈部、耳朵、肩部、侧腹、腹部、腿部、腰部、臀部和外阴测量)。黑色小母牛的 RF 和 RT 高于杂色和白色小母牛(P<0.01);白色小母牛的 RT 与杂色小母牛相似,但 RF 较低(P<0.05)。一般来说,黑色和杂色小母牛在测量的大多数解剖区域的 BST 高于白色小母牛(P<0.01)。对于黑色小母牛,预测 RT 的最佳回归模型包括三个预测变量:[RT=35.59-0.013(RH)+0.045(RF)+0.019(T);R=71%]。对于白色小母牛,最佳模型包括两个预测变量:[RT=35.29+0.035(RF)+0.033(T);R=71%];对于杂色小母牛,最佳模型包括两个预测变量:[RT=35.07+0.022(RF)+0.038(T);R=44%]。深色毛发小母牛的生理常数高于白色小母牛;具有明确毛色的小母牛的直肠温度预测更为准确。生理和气候变量以及红外线热成像技术是预测主要为白色或黑色毛发小母牛直肠温度的合适组合。