Gaillard C, Martin O, Blavy P, Friggens N C, Sehested J, Phuong H N
Department of Animal Sciences, Aarhus University, PO Box 50, 8830 Tjele, Denmark.
UMR Modélisation Systémique Appliquée aux Ruminants, INRA, AgroParisTech, Université Paris-Saclay, 75005 Paris, France.
J Dairy Sci. 2016 Nov;99(11):9126-9135. doi: 10.3168/jds.2016-11051. Epub 2016 Aug 24.
The GARUNS model is a lifetime performance model taking into account the changing physiological priorities of an animal during its life and through repeated reproduction cycles. This dynamic and stochastic model has been previously used to predict the productive and reproductive performance of various genotypes of cows across feeding systems. In the present paper, we used this model to predict the lifetime productive and reproductive performance of Holstein cows for different lactation durations, with the aim of determining the lifetime scenario that optimizes cows' performance defined by lifetime efficiency (ratio of total milk energy yield to total energy intake) and pregnancy rate. To evaluate the model, data from a 16-mo extended lactation experiment on Holstein cows were used. Generally, the model could consistently fit body weight, milk yield, and milk components of these cows, whereas the reproductive performance was overestimated. Cows managed for repeated 12-, 14-, or 16-mo lactation all their life were simulated and had the highest lifetime efficiency compared with shorter (repeated 10-mo lactations: scenario N-N) or longer lactations (repeated 18-, 20-, or 22-mo lactations). The pregnancy rates increased slightly from a 10-mo to a 16-mo lactation but not significantly. Cows managed for a 16-mo lactation during their first lactation, followed by 10-mo lactations for the rest of their lives (EL-N scenario), had a similar lifetime efficiency as cows managed for 16-mo lactation all of their lives (EL-EL scenario). Cows managed for a 10-mo lactation during their first lactation, followed by 16-mo lactations for the rest of their lives (N-EL scenario), had a similar lifetime efficiency as that of the N-N scenario. The pregnancy rates of these 4 scenarios (N-N, EL-EL, N-EL, and EL-N) were similar to one another. To conclude, the GARUNS model was able to fit and simulate the extended lactation of Holstein cows. The simulated outputs indicate that managing the primiparous cows with a 16-mo extended lactation, followed by 10-mo lactations, allows their lifetime efficiency to increase and become similar to cows managed for 16-mo lactation during their entire lives. Further work should include health incidence (i.e., diseases) in the prediction model to have more accurate and realistic predictions of lifetime efficiency.
GARUNS模型是一个终生性能模型,它考虑了动物在其一生中以及通过反复繁殖周期生理优先级的变化。这个动态随机模型此前已被用于预测不同基因型奶牛在不同饲养系统下的生产和繁殖性能。在本文中,我们使用这个模型来预测不同泌乳期的荷斯坦奶牛的终生生产和繁殖性能,目的是确定由终生效率(总产奶能量与总能量摄入的比率)和怀孕率定义的能使奶牛性能最优化的终生方案。为了评估该模型,我们使用了荷斯坦奶牛16个月延长泌乳期实验的数据。总体而言,该模型能够持续拟合这些奶牛的体重、产奶量和奶成分,然而繁殖性能被高估了。模拟了终生进行重复12个月、14个月或16个月泌乳的奶牛,与较短(重复10个月泌乳:N-N方案)或较长泌乳期(重复18个月、20个月或22个月泌乳)相比,它们具有最高的终生效率。怀孕率从10个月泌乳期到16个月泌乳期略有增加,但不显著。头胎泌乳期为16个月,其余时间为10个月泌乳期的奶牛(EL-N方案),其终生效率与终生进行16个月泌乳期管理的奶牛(EL-EL方案)相似。头胎泌乳期为10个月,其余时间为16个月泌乳期的奶牛(N-EL方案),其终生效率与N-N方案相似。这4种方案(N-N、EL-EL、N-EL和EL-N)的怀孕率彼此相似。总之,GARUNS模型能够拟合和模拟荷斯坦奶牛的延长泌乳期。模拟结果表明,对头胎奶牛进行16个月的延长泌乳期管理,随后进行10个月的泌乳期管理,可提高它们的终生效率,并使其与终生进行16个月泌乳期管理的奶牛相似。进一步的工作应将健康发生率(即疾病)纳入预测模型,以便对终生效率进行更准确和现实的预测。