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针对在不同出栏终点上市的饲养场育肥牛的经济风险和净收益分布的随机建模。

Stochastic modeling of economic risk and net return distributions for feedlot steers marketed at alternative endpoints.

作者信息

Horton Lucas M, Schroeder Ted C, Streeter Marshall N, Hutcheson John P, Renter David G

机构信息

Center for Outcomes Research and Epidemiology, Department of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.

Department of Agricultural Economics, Kansas State University, Manhattan, KS, USA.

出版信息

J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf074.

Abstract

Feedlot cattle in the United States have been progressively fed to heavier, more extreme endpoints (EPs) in recent decades. The primary objective was to evaluate economic risk associated with extending days-on-feed (DOF) by characterizing net return distributions of feedlot steers fed to later EPs, compared to current industry standards. Stochastic simulation modeling was employed to simulate a variety of conditions, including cattle performance, health, carcass characteristics, and economic market variability at the pen-level. The model was parameterized using data from a large commercial feedlot trial and industry reports. The trial involved cattle harvested at four EPs (EP1, EP2, EP3, EP4), each separated by 14 DOF. EP1 represented the industry standard, with live and carcass weights reflective of industry averages from 2021 to mid-2024. The model's final outcome was net return difference-the difference in net returns for EP2, EP3, and EP4 compared to if pens had alternatively been marketed at EP1 under a given set of simulated conditions. Conditional random forest models were used to compute variable importance scores to determine the most influential factors on net return differences. Results indicated that as steers were fed to later EPs, net return distributions widened, reflecting increased economic risk. Steers marketed on a dressed (carcass) basis using a grid for premiums and discounts showed a higher frequency of negative net returns compared to a live marketing basis, primarily due to discounts for Yield Grade and heavyweight carcasses. Across both sale basis, negative net returns became more frequent with increasing EPs. The most influential variable was the difference in fed cattle prices received between later-fed EPs and EP1, accounting for price changes when delaying marketing. Other important economic factors included base-fed cattle prices, corn prices, and the Quality Grade grid when grid marketing. Mortality risk was the most important noneconomic variable, while other animal performance variables, such as weight and carcass traits, were of marginal to minimal importance. These findings highlight the dominant role of economic factors on net returns when feeding steers to later EPs, emphasizing the need to prioritize market conditions in EP management decisions.

摘要

近几十年来,美国饲养场的肉牛被逐渐催肥至更重、更极端的出栏体重(EP)。主要目的是通过描述与当前行业标准相比,饲养至更晚出栏体重的饲养场阉牛的净收益分布情况,来评估延长饲养天数(DOF)所带来的经济风险。采用随机模拟建模来模拟各种情况,包括牛的生长性能、健康状况、胴体特征以及栏舍层面的经济市场波动。该模型使用来自大型商业饲养场试验和行业报告的数据进行参数化。试验涉及在四个出栏体重(EP1、EP2、EP3、EP4)时屠宰的牛,每个出栏体重之间间隔14天饲养天数。EP1代表行业标准,活重和胴体重反映了2021年至2024年年中行业平均水平。该模型的最终结果是净收益差异——在给定的一组模拟条件下,与如果栏舍在EP1时上市相比,EP2、EP3和EP4的净收益差异。使用条件随机森林模型计算变量重要性得分,以确定对净收益差异影响最大的因素。结果表明,随着阉牛饲养至更晚的出栏体重,净收益分布变宽,反映出经济风险增加。与活牛销售方式相比,采用优质和折扣网格的胴体销售方式的阉牛出现负净收益的频率更高,主要原因是产量等级和超重胴体的折扣。在两种销售方式中,随着出栏体重增加,负净收益变得更加频繁。最具影响力的变量是后期饲养的出栏体重与EP1之间收到的育肥牛价格差异,这考虑了延迟销售时的价格变化。其他重要的经济因素包括基础育肥牛价格、玉米价格以及网格销售时的质量等级网格。死亡率风险是最重要的非经济变量,而其他动物生长性能变量,如体重和胴体性状,重要性则微乎其微。这些发现突出了经济因素在将阉牛饲养至更晚出栏体重时对净收益的主导作用,强调在出栏体重管理决策中需要优先考虑市场状况。

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