Berman A
Department of Animal Science, Hebrew University, Rehovot 76100, Israel.
J Dairy Sci. 2003 Nov;86(11):3605-10. doi: 10.3168/jds.S0022-0302(03)73966-6.
The 0.09 x W(0.67) equation (where W = weight in kilograms) used to estimate body surface area (SA) in cattle energy requirements models was developed using measurements of sheep that weighed between 24 and 38 kg. The SA estimates it produced were compared with those of the equation 0.14 x W(0.57), based on Holstein cattle weighing 41 to 617 kg. The estimate of SA produced by the first equation was 23% greater for a 650-kg cow than that obtained by the second equation. The impact of SA estimates on thermal comfort range and development of cold and heat stress effects was calculated, using a thermal balance model, for a 600-kg cow producing 35 kg/d. Predicted metabolic heat production increment at -10 degrees C ambient temperature with 0.5 m/s wind velocity was 0.44 Mcal/d and 1.21 Mcal/d by the first and second equation, respectively. Predicted lower critical temperature (LCT) was -8.7 degrees C by the first equation and -0.6 degrees C by the second equation, an 8 degrees C difference. The LCT difference between SA estimates increased from 4.6 to 9.4 degrees C, with milk production rising from 10 to 45 kg/d. By the first equation, skin nonevaporative heat loss started to decrease at 15 degrees C and became close to nil at and ambient temperature of 35 degrees C, whereas by the second equation, respective values were 10 degrees C and 39 degrees C, a 5 degrees C shift in the estimated temperature at which thermal stress would start developing. The larger SA and skin water loss predicted by the first equation reduced by 50% the respiratory heat loss involved in maintenance of thermal balance at higher temperatures for a 600-kg cow. The second equation seems preferable for Holstein SA estimation since it is based on Holstein cattle data. It provides more adequate estimates of energy requirement in the cold and of heat stress relief needs for Holstein cattle.
用于牛能量需求模型中估算体表面积(SA)的0.09×W(0.67)方程(其中W为千克体重)是利用体重在24至38千克之间的绵羊的测量数据得出的。将该方程得出的体表面积估算值与基于体重41至617千克的荷斯坦奶牛的0.14×W(0.57)方程得出的估算值进行了比较。对于一头650千克的奶牛,第一个方程得出的体表面积估算值比第二个方程得出的估算值大23%。利用热平衡模型,计算了体表面积估算值对一头日产奶35千克的600千克奶牛的热舒适范围以及冷应激和热应激效应发展的影响。在环境温度为-10℃、风速为0.5米/秒时,第一个方程和第二个方程预测的代谢产热增量分别为0.44兆卡/天和1.21兆卡/天。第一个方程预测的较低临界温度(LCT)为-8.7℃,第二个方程预测的为-0.6℃,相差8℃。随着产奶量从10千克/天增加到45千克/天,体表面积估算值之间的LCT差异从4.6℃增加到9.4℃。按照第一个方程,皮肤非蒸发散热在15℃时开始下降,在环境温度为35℃时接近零,而按照第二个方程,相应的值分别为10℃和39℃,即热应激开始发展时的估算温度有5℃的偏移。第一个方程预测的较大体表面积和皮肤水分流失使一头600千克奶牛在较高温度下维持热平衡所需的呼吸散热减少了50%。第二个方程似乎更适合用于估算荷斯坦奶牛的体表面积,因为它基于荷斯坦奶牛的数据。它能更充分地估算寒冷环境下的能量需求以及荷斯坦奶牛缓解热应激的需求。