Meadows C, Rajala-Schultz P J, Frazer G S
Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH 43210, USA.
J Dairy Sci. 2005 Mar;88(3):1244-54. doi: 10.3168/jds.S0022-0302(05)72791-0.
A spreadsheet-based model was developed to estimate the economic effect of varying reproductive performance in dairy herds. Scenarios were created to model an average cow with respect to production, herd lifetime, and reproductive events. Average milk yield per day of life as well as lifetime calf and replacement heifer production were examined. Additional inputs representing milk, feed, semen, calf, and salvage prices were used to calculate net cash flow for each day of herd life for the average cow in a scenario. Economic comparison of different scenarios was accomplished using an equivalent annual cash flow (annuity) methodology.Herd performance measures and prices representative of Ohio dairy herds were used to establish a baseline average cow that had a 160-d calving-to-conception interval [days open (DO)]. Alternative scenarios that differed from baseline in DO, annual culling rate, and feed and milk prices were created to characterize the effects of changes. Under scenario inputs representative of typical Ohio dairy herds, the model indicated that a lower annual culling rate (25%) was preferable to higher annual culling rates (34 or 45%). The model estimated maximum average milk yield per day of life to occur at 110 DO. At 34% annual culling rate, calves and replacement heifers produced per lifetime declined as DO increased; beyond 150 DO, the modeled cow produced less than 1 replacement heifer per lifetime. The model also estimated a loss of $1.37 per cow per year for a 1-d increase in DO beyond 160 d. At 20% higher feed and milk prices, the model estimated a loss of $1.52 per cow per year; at 20% lower feed and milk prices, the model estimated a loss of $1.23 per cow per year. Furthermore, the model suggested that the loss associated with a 1-d increase in DO changed as DO changed. Using baseline inputs, the model calculated losses for a 1-d increase of $0.44 per cow per year at 130 DO and $1.71 per cow per year at 190 DO. The nonuniform nature of the cost of additional DO is important to veterinarians and producers. The implication is that inefficient reproduction becomes marginally more costly to producers as performance declines and warrants increased attention. Conversely, marginal benefits of improved reproduction decrease as performance improves. Herds with strong reproductive performance have less opportunity to capture economic benefits of improvement.
开发了一种基于电子表格的模型,以估计奶牛群不同繁殖性能的经济影响。创建了一些情景来模拟一头在生产、牛群寿命和繁殖事件方面的平均奶牛。研究了每生命日的平均产奶量以及一生的犊牛和后备小母牛产量。使用代表牛奶、饲料、精液、犊牛和残值价格的额外输入来计算情景中平均奶牛在牛群生命中每一天的净现金流。使用等效年度现金流(年金)方法对不同情景进行经济比较。使用代表俄亥俄州奶牛群的牛群性能指标和价格来建立一头产犊至受孕间隔为160天[空怀天数(DO)]的基线平均奶牛。创建了在DO、年度淘汰率以及饲料和牛奶价格方面与基线不同的替代情景,以描述变化的影响。在代表典型俄亥俄州奶牛群的情景输入下,该模型表明较低的年度淘汰率(25%)比较高的年度淘汰率(34%或45%)更可取。该模型估计每生命日的最大平均产奶量出现在110天的空怀天数时。在34%的年度淘汰率下,随着空怀天数增加,每生生产的犊牛和后备小母牛数量下降;超过150天的空怀天数后,模拟奶牛每生生产的后备小母牛数量少于1头。该模型还估计,空怀天数超过160天后每增加1天,每头牛每年损失1.37美元。饲料和牛奶价格上涨20%时,该模型估计每头牛每年损失1.52美元;饲料和牛奶价格下降20%时,该模型估计每头牛每年损失1.23美元。此外,该模型表明,与空怀天数增加1天相关的损失会随着空怀天数的变化而变化。使用基线输入,该模型计算出在130天的空怀天数时每增加1天每头牛每年的损失为0.44美元,在190天的空怀天数时为1.71美元。额外空怀天数成本的不均匀性质对兽医和生产者很重要。这意味着繁殖效率低下对生产者来说,随着性能下降成本会略微增加,因此值得更多关注。相反,随着性能提高,繁殖改善的边际效益会降低。繁殖性能强的牛群获得改善经济效益的机会较少。