Synthetic feedlot cattle populations for the High Plains cattle feeding area

IF 1.5 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Applied Animal Science Pub Date : 2026-02-01 Epub Date: 2026-01-23 DOI:10.15232/aas.2025-02750
M.L. Galyean , J.D. Rivera , K.E. Hales , B.P. Holland , T.C. Bryant
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引用次数: 0

Abstract

Objective

Our objective was to develop synthetic mul-tivariate normal populations of feedlot steers and heifers of various types using data from 2 cattle feeding compa-nies and to make these synthetic population data publicly available.

Materials and Methods

Close-out data from lots of cattle from 20 feedlot locations owned by Cactus Feed-ers and Five Rivers Cattle Feeding (10 locations for each company) were made available for analysis. Lots that en-compassed 6 groups of cattle were evaluated, including Native steers (3,483 and 2,777 lots for Cactus Feeders and Five Rivers, respectively); Native heifers (2,440 and 1,941 lots); Mexican steers (553 and 456 lots); Mexican heifers (132 and 174 lots); Beef × Dairy steers (474 and 71 lots); and Beef × Dairy heifers (285 and 36, lots). The SIM-NORMAL procedure of SAS was used to create multivari-ate normal populations with the following variables: initial BW, final BW, DMI, dead cattle excluded (deads-out) and dead cattle included (deads-in) ADG, and HCW. The F:G was calculated for each lot from the simulated DMI and ADG values, and DP was calculated from simulated final BW and HCW.

Results and Discussion

Means and standard devia-tions for simulated population data were nearly the same as the original close-out data for each group. Considerable variation was evident for minimum and maximum values in the synthetic populations compared with the original data, particularly for the Beef × Dairy and Mexican-origin cattle, reflecting the smaller numbers of observations in these datasets and use of the normal distribution to gener-ate the synthetic data. Indeed, abnormally low (Mexican cattle) and negative (Beef × Dairy cattle) values for initial BW were observed, indicating the need for careful data curation when sampling these synthetic populations.

Implications and Applications

Potential applica-tions for these data include economic evaluations, simu-lations related to nutrient requirement recommendations or environmental impacts of cattle feeding, and statistical applications like determining appropriate sample sizes for field experiments. The 6 synthetic populations (10,000 lot-level observations per population) we created are available for download at https://www.depts.ttu.edu/afs/burnett_center/synthetic-populations.php. We intend to periodi-cally update these files to provide more robust values, par-ticularly for the Beef × Dairy and Mexican-origin popula-tions.
合成饲养场牛种群为高平原养牛区
我们的目标是利用两家养牛公司的数据,开发饲养场阉牛和各种类型小母牛的多元正常种群,并将这些合成种群数据公开。材料与方法对Cactus feeders和Five Rivers cattle Feeding拥有的20个饲养场(每家公司10个饲养场)的大量牛进行了封闭数据分析。评估了6组牛的地块,包括Native阉牛(分别为Cactus Feeders和Five Rivers的3,483和2,777个地块);本地小母牛(2440头和1941批);墨西哥阉牛(553和456个批次);墨西哥小母牛(132头和174头);牛乳阉牛474头、71头;牛乳小母牛(285头、36头)。采用SAS的SIM-NORMAL程序创建多变量正态总体,变量包括初始体重、最终体重、DMI、排除死亡牛(deads-out)和包括死亡牛(deads-in) ADG和HCW。根据模拟的DMI和ADG值计算每个批次的F:G,根据模拟的最终体重和HCW计算DP。结果与讨论模拟人群数据的均值和标准差与各组原始关闭数据几乎相同。与原始数据相比,合成种群中的最小值和最大值存在明显的差异,特别是对于牛肉×乳制品和墨西哥牛,这反映了这些数据集中的观测值较少,并且使用正态分布来生成合成数据。事实上,观察到的初始体重值异常低(墨西哥牛)和负(肉牛×奶牛),表明在对这些合成种群进行抽样时需要仔细的数据管理。影响和应用这些数据的潜在应用包括经济评估,与营养需求建议或牛饲养的环境影响相关的模拟,以及统计应用,如确定田间实验的适当样本量。我们创建的6个合成种群(每个种群有10,000个批次级观察值)可从https://www.depts.ttu.edu/afs/burnett_center/synthetic-populations.php下载。我们打算定期更新这些文件,以提供更可靠的值,特别是针对牛肉×乳制品和墨西哥裔人口。
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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来源期刊
Applied Animal Science
Applied Animal Science AGRICULTURE, DAIRY & ANIMAL SCIENCE-
CiteScore
3.00
自引率
6.70%
发文量
68
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