Scotland's Rural College (SRUC), Edinburgh, Scotland.
J Dairy Res. 2013 Feb;80(1):45-50. doi: 10.1017/S002202991200060X. Epub 2012 Nov 20.
The objective was to identify predisposing factors for increased risk of involuntary culling in adult Holstein-Friesian dairy cows. Data were sourced from Scotland's Rural College (SRUC) Dairy Research Centre. Between September 2003 and August 2010 175 cows were culled, a herd culling rate of 33.7%. The major reasons for involuntary culling were fertility (27.4%) and udder problems (26.9%). In the analysis, the culled cows were matched with their cohorts that survived to a later lactation. To identify predisposing factors, a binary logistic model was applied. Cows with higher than average body condition score (BCS) at last service were five times [Odds Ratio (OR) = 4.8] more likely to be culled due to infertility. Cows with low protein yield on day 60 ± 5 in lactation were ten times less likely (OR = 0.1) to be culled. In first lactation heifers, only BCS at last service increased the risk of involuntary culling due to infertility (OR = 13.0). A high milk yield acceleration was a significant (P = 0.04) factor in increasing the risk, five times (OR = 5.2) more, of culling cows due to udder problems. In conclusion, a high BCS at last service, high milk protein yield at around day 60 in lactation and acceleration of milk yield after calving exposed cows to a risk of being culled involuntarily. In practice, monitoring of traits that indicate metabolic imbalance could assist identifying cows at high risk of being culled and contribute to reducing the associated risk through a more effective timely decision.
本研究旨在确定导致荷斯坦奶牛(Holstein-Friesian dairy cows)淘汰率增加的风险因素。数据来自苏格兰农学院(SRUC)奶牛研究中心。2003 年 9 月至 2010 年 8 月,共有 175 头奶牛被淘汰,淘汰率为 33.7%。淘汰的主要原因是繁殖问题(27.4%)和乳房问题(26.9%)。在分析中,淘汰的奶牛与存活至下一泌乳期的同群奶牛进行了匹配。为了确定风险因素,采用二元逻辑模型进行分析。在上一次配种时体况评分(BCS)高于平均水平的奶牛,因不育而被淘汰的可能性增加五倍(比值比[OR] = 4.8)。泌乳第 60 ± 5 天的奶牛的蛋白质产量较低,其淘汰率降低十倍(OR = 0.1)。在初产牛中,只有最后一次配种时的 BCS 增加了因不育而被淘汰的风险(OR = 13.0)。泌乳早期的高产奶量加速是导致因乳房问题而淘汰奶牛的显著因素(P = 0.04),增加了五倍(OR = 5.2)的淘汰风险。综上所述,最后一次配种时的高 BCS、泌乳第 60 天左右的高牛奶蛋白产量和产后产奶量的加速使奶牛面临被淘汰的风险。在实践中,监测表明代谢失衡的特征可以帮助识别出高淘汰风险的奶牛,并通过更有效的及时决策来降低相关风险。