经济风险和净收益分布的随机模型为饲养场的牛在不同的终点销售。

IF 2.9 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of animal science Pub Date : 2025-01-04 DOI:10.1093/jas/skaf074
Lucas M Horton, Ted C Schroeder, Marshall N Streeter, John P Hutcheson, David G Renter
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引用次数: 0

摘要

近几十年来,美国饲养场的牛逐渐被喂食到更重、更极端的终点(EPs)。与目前的行业标准相比,主要目标是通过描述饲喂后期EPs的饲养场阉牛的净回报分布,评估与延长饲料日采(DOF)相关的经济风险。采用随机模拟模型,在畜栏水平上模拟各种条件,包括牛的生产性能、健康状况、胴体特征和经济市场变化。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4个EPs (EP1、EP2、EP3、EP4)收获的牛,每个EPs间隔14 DOF。EP1代表行业标准,活重和胴体重反映了2021年至2024年中期的行业平均水平。该模型的最终结果是净收益差异——EP2、EP3和EP4的净收益与在给定的一组模拟条件下以EP1的价格销售的钢笔相比的差异。使用条件随机森林模型计算变量重要性分数,以确定影响净收益差异的最重要因素。结果表明,当转向饲喂较晚的每股收益时,净回报分布扩大,反映了经济风险的增加。以屠宰(胴体)为基础,使用溢价和折扣网格进行营销的阉牛,与以活体为基础的营销相比,显示出更高的负净回报频率,主要是由于产量等级和重量级胴体的折扣。在两种销售基础上,随着每股收益的增加,负净回报变得更加频繁。影响最大的变量是后期饲养的EPs和EP1之间的饲料牛价格差异,考虑到延迟上市时的价格变化。其他重要的经济因素包括基础饲牛价格、玉米价格和网格营销时的质量等级网格。死亡风险是最重要的非经济变量,而其他动物生产性能变量,如体重和胴体性状,则不太重要。这些发现强调了经济因素对后期每股收益净收益的主导作用,强调了在每股收益管理决策中优先考虑市场状况的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.

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来源期刊
Journal of animal science
Journal of animal science 农林科学-奶制品与动物科学
CiteScore
4.80
自引率
12.10%
发文量
1589
审稿时长
3 months
期刊介绍: The Journal of Animal Science (JAS) is the premier journal for animal science and serves as the leading source of new knowledge and perspective in this area. JAS publishes more than 500 fully reviewed research articles, invited reviews, technical notes, and letters to the editor each year. Articles published in JAS encompass a broad range of research topics in animal production and fundamental aspects of genetics, nutrition, physiology, and preparation and utilization of animal products. Articles typically report research with beef cattle, companion animals, goats, horses, pigs, and sheep; however, studies involving other farm animals, aquatic and wildlife species, and laboratory animal species that address fundamental questions related to livestock and companion animal biology will be considered for publication.
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