McCall D G, Clark D A, Stachurski L J, Penno J W, Bryant A M, Ridler B J
AgResearch, Ruakura Research Centre, Hamilton, New Zealand.
J Dairy Sci. 1999 Aug;82(8):1795-807. doi: 10.3168/jds.S0022-0302(99)75410-X.
Parallels exist in the recent developments of dairy systems in the Northeast United States and New Zealand because of greater use of pasture grazing and feed supplements, respectively. Lessons can be learned from each system. However, major differences exist between the regions in the patterns of pasture production, the costs of supplementary feed, and milk prices. These differences affect the optimum use of feed. In this paper, a linear programming model developed to determine optimum feeding strategies for dairy systems in each country is presented. The model optimizes grazing management (rotation lengths) and the conservation of pasture subject to constraints on their use. Other feed resources include N fertilizer, grain, corn silage, and alfalfa silage. All feeds are represented in energy terms. The substitution of pasture intake by grain and forage supplements is included, and cow performance can be optimized by choosing from 73 seasonal calving herds that vary in calving date, lactation length, and daily milk production. The model predicts that marginal responses to grain feeding are between 1.35 and 1.8 kg of milk/kg of grain dry matter supplement, well within the range of responses reported in the literature. Evaluation of the model against data from nine grazing system treatments in New Zealand and two in Pennsylvania showed that model predictions averaged +3% (New Zealand) and +0.04% (Northeast) of measured milk production. The model could be used with confidence to study systems in both the Northeast United States and New Zealand.
由于美国东北部和新西兰的奶牛养殖系统分别更多地采用了牧场放牧和饲料补充,两者在近期发展中存在相似之处。可以从每个系统中吸取经验教训。然而,这两个地区在牧场生产模式、补充饲料成本和牛奶价格方面存在重大差异。这些差异影响着饲料的最佳利用。本文介绍了一个线性规划模型,该模型用于确定每个国家奶牛养殖系统的最佳饲养策略。该模型在牧场使用受限的情况下,对放牧管理(轮牧周期)和牧场保护进行优化。其他饲料资源包括氮肥、谷物、玉米青贮饲料和苜蓿青贮饲料。所有饲料均以能量形式表示。模型考虑了用谷物和补充饲料替代牧场采食量的情况,并且可以通过从73个季节性产犊牛群中进行选择来优化奶牛性能,这些牛群在产犊日期、泌乳期长度和每日产奶量方面各不相同。该模型预测,每千克谷物干物质补充料增加的牛奶产量边际反应在1.35至1.8千克之间,完全在文献报道的反应范围内。根据新西兰九个放牧系统处理和宾夕法尼亚州两个处理的数据对该模型进行评估,结果表明模型预测的牛奶产量平均比实测产量高3%(新西兰)和0.04%(美国东北部)。该模型可以放心地用于研究美国东北部和新西兰的养殖系统。