Roche J R, Lee J M, Macdonald K A, Berry D P
Dexcel Ltd., Hamilton, New Zealand.
J Dairy Sci. 2007 Aug;90(8):3802-15. doi: 10.3168/jds.2006-740.
The objective of the present study was to identify and quantify relationships among dairy cow body condition score (BCS) and body weight (BW) and production variables in pasture-based, seasonal-calving herds. More than 2,500 lactation records from 897 spring-calving Holstein-Friesian and Jersey dairy cows were used in the analyses. Six variables related to BCS and BW, including observations precalving, at calving, and nadir as well as days to nadir and change precalving and between calving and nadir were generated. An exponential function was fitted within lactation to milk and 4% fat-corrected milk (FCM) yield data to model lactation curves. The milk production variables investigated were the parameters of the fitted function as well as accumulated yield of milk and FCM at 60 and 270 days in milk and average milk composition. Mixed models were used to identify BCS and BW variables that significantly affected milk production. After adjusting for the fixed effect of year of calving, parity, and days dry, milk and FCM yields were nonlinearly associated with calving and nadir BCS, increasing at a declining rate up to BCS 6.0 to 6.5 (10-point scale; approximately 3.5 in the 5-point scale) and declining thereafter. However, there was very little increase in milk and FCM yields above a calving BCS of 5.0 (approximately 3.0 in the 5-point scale). Average milk fat content over 60 and 270 days in milk was positively correlated with increasing calving and nadir BCS. In comparison, milk protein percentage was not influenced by calving BCS but was positively associated with nadir BCS and negatively associated with BCS lost between calving and nadir. The effect of BW and changes in BW were similar to the effect of BCS, although the scale of the effect was breed-dependent. For example, milk and FCM yield increased linearly with increasing calving BCS, but the effect was greater in Holstein-Friesians compared with Jersey cows. The results are consistent with the literature and highlight the important role that BCS and BW loss has on milk production, irrespective of the system of farming.
本研究的目的是确定并量化在以牧场为基础的季节性产犊牛群中,奶牛体况评分(BCS)、体重(BW)与生产变量之间的关系。分析中使用了来自897头春季产犊的荷斯坦 - 弗里生奶牛和泽西奶牛的2500多条泌乳记录。生成了六个与BCS和BW相关的变量,包括产犊前、产犊时和最低点时的观测值,以及达到最低点的天数和产犊前、产犊至最低点之间的变化。在泌乳期内,对牛奶和4%脂肪校正乳(FCM)产量数据拟合指数函数以建立泌乳曲线模型。所研究的牛奶生产变量包括拟合函数的参数以及产奶60天和270天时牛奶和FCM的累计产量以及平均牛奶成分。使用混合模型来确定对牛奶生产有显著影响的BCS和BW变量。在对产犊年份、胎次和干奶天数的固定效应进行调整后,牛奶和FCM产量与产犊时和最低点时的BCS呈非线性相关,在BCS达到6.0至6.5(10分制;5分制中约为3.5)之前产量以递减速率增加,此后下降。然而,产犊时BCS高于5.0(5分制中约为3.0)时,牛奶和FCM产量的增加非常少。产奶60天和270天期间的平均乳脂含量与产犊时和最低点时BCS的增加呈正相关。相比之下,乳蛋白百分比不受产犊时BCS的影响,但与最低点时BCS呈正相关,与产犊至最低点期间损失的BCS呈负相关。BW及其变化的影响与BCS的影响相似,尽管影响程度因品种而异。例如,牛奶和FCM产量随产犊时BCS的增加呈线性增加,但与泽西奶牛相比,荷斯坦 - 弗里生奶牛的影响更大。研究结果与文献一致,并突出了BCS和BW损失对牛奶生产的重要作用,无论养殖系统如何。