Business Economics Group, Department of Social Sciences, Wageningen University, Wageningen, the Netherlands; Farm Animal Health, Faculty of Veterinary Medicine, Department Population Health Sciences, Utrecht University, Utrecht, the Netherlands.
Business Economics Group, Department of Social Sciences, Wageningen University, Wageningen, the Netherlands.
Prev Vet Med. 2021 Aug;193:105398. doi: 10.1016/j.prevetmed.2021.105398. Epub 2021 Jun 4.
Culling of underperforming dairy cows by replacement heifers is a fundamental part of Dutch dairy farm management. Changes in national agricultural policies can influence farmers' culling decisions. The objective of this study was to analyse the relevancy of cow-level risk factors for survival of Dutch dairy cows under perturbations due to national policy changes related to the -milk quota abolishment of 2015 and the phosphate regulations since 2017. For this purpose, an accelerated failure time model was fitted on-longitudinal dairy cows' data at national level covering the period 2009-2019. The associated cow-level risk factors for culling such as lactation value (relative production level), parity number, rolling average of inseminations over all parities, very high fat-protein ratio (highFPR) and very low fat-protein ratio (lowFPR) in early lactation, test-day somatic cell count, were fitted in the model. Along with these, a factor representing three target policy periods, namely Milk Quota period (MQ), Post-Milk Quota period (PMQ) and Phosphate regulation period (PH) were fitted. The mean survival age for all producing cows was 441 weeks overall. The predicted median survival time for the policy periods MQ, PMQ and PH were 273 weeks, 271 weeks and 256 weeks, respectively. Risk factors such as lactation value, parity and highFPR, rolling average of inseminations over all parities were positively associated with survival time in all three policy periods. Risk factors such as test-day somatic cell count and lowFPR were negatively associated with survival time in all three policy periods. In conclusion, this study demonstrated the differences in survival of Dutch dairy cows in response to changing agricultural policy. The association of cow-level risk factors for culling was consistent across the three evaluated policy periods.
淘汰生产性能低下的奶牛是荷兰奶牛场管理的基本组成部分。国家农业政策的变化会影响农民的淘汰决策。本研究的目的是分析奶牛个体风险因素与 2015 年取消牛奶配额和 2017 年磷酸盐法规相关的国家政策变化对荷兰奶牛生存的相关性。为此,在全国范围内对 2009-2019 年期间的奶牛纵向数据进行了加速失效时间模型分析。与淘汰相关的奶牛个体风险因素,如泌乳价值(相对生产水平)、胎次数、所有胎次的授精滚动平均值、泌乳早期的高乳脂率-蛋白比(高 FPR)和低乳脂率-蛋白比(低 FPR)、体细胞计数测试日,均纳入模型中。此外,还拟合了一个代表三个目标政策时期的因素,即牛奶配额时期(MQ)、牛奶配额后时期(PMQ)和磷酸盐法规时期(PH)。所有产奶牛的平均存活年龄为 441 周。政策时期 MQ、PMQ 和 PH 的预测中位存活时间分别为 273 周、271 周和 256 周。在所有三个政策时期,泌乳价值、胎次和高 FPR 等风险因素与存活时间呈正相关。在所有三个政策时期,体细胞计数测试日和低 FPR 等风险因素与存活时间呈负相关。总之,本研究表明,荷兰奶牛的生存因农业政策的变化而有所不同。淘汰奶牛个体风险因素的相关性在三个评估政策时期保持一致。