An analysis of the influence of pre-slaughter management factors on welfare and meat quality outcomes in fed beef cattle in the United States

IF 1.3 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE Translational Animal Science Pub Date : 2024-07-22 DOI:10.1093/tas/txae108
Melissa Davis, Paxton Sullivan, Ann M Hess, Mahesh N Nair, Daniel F Mooney, L. Edwards-Callaway
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Abstract

During the pre-slaughter phase, cattle are transported from their place of origin to a slaughter facility, experiencing transportation, lairage, environmental factors, and novel environments. Although research exists that has evaluated how the pre-slaughter phase impacts cattle welfare and meat quality, some significant pre-slaughter management factors and subsequent welfare and meat quality outcomes have not been thoroughly explored. The objective of this study was to assess the effects of pre-slaughter management factors on welfare and meat quality outcomes in fed beef cattle in the United States. Transportation factors, environmental characteristics, lairage factors, cattle characteristics and several meat quality variables were collected from five federally inspected commercial processing facilities in the United States. After excluding slaughter lots that included <75% complete data sets, a total of 619 slaughter lots representing 84,508 head of cattle were used for further analysis. Predictor variables of interest included processing plant, cattle breed, sex class, operation shift at the plant, distance travelled to the plant, truck waiting time to unload at the plant, lairage duration and space allowance, temperature humidity index (THI), and windspeed. Outcome variables of interest included cattle mobility, carcass bruising, dark cutting (DC), quality grades (QG), and hot carcass weights (HCW). All statistical analysis was performed using SAS 9.4. Logistic and linear regressions were used to analyze the associations between the predictor and outcomes variables of interest. Increased distance travelled and truck waiting time were associated with higher odds of mobility impairment (P = 0.0009 and P = 0.007, respectively), with each 10 km increase in distance travelled having an odds ratio (OR) of 1.001 (95% Confidence Interval [CI]: 1.000-1.001) and each 1-minute increase in waiting time having an OR of 1.003 (CI: 1.001-1.004). Conversely, a 10 km increase in distance travelled decreased the odds of carcass bruising (OR: 0.997, CI: 0.996-0.998; P < 0.0001). Longer lairage was associated with increased odds of DC (P = 0.0415), with each 60-minute increase in duration having an OR of 1.034 (CI: 1.001-1.068). The results demonstrate the importance of truck arrival management (i.e., scheduling, prioritizing unloading) on mobility. Focusing on lairage management (i.e., density and time) may provide some opportunities to improve meat quality.
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屠宰前管理因素对美国饲养肉牛的福利和肉质结果的影响分析
在屠宰前阶段,牛被从原产地运往屠宰场,经历运输、饲养、环境因素和新环境。尽管已有研究对屠宰前阶段如何影响牛的福利和肉质进行了评估,但一些重要的屠宰前管理因素以及随后的福利和肉质结果尚未得到深入探讨。本研究旨在评估屠宰前管理因素对美国饲养肉牛的福利和肉质结果的影响。研究人员从美国五家经联邦检验的商业加工厂收集了运输因素、环境特征、屠宰场因素、牛只特征和若干肉质变量。在剔除了包含 <75% 完整数据集的屠宰批次后,共有 619 个屠宰批次(代表 84,508 头牛)被用于进一步分析。相关的预测变量包括加工厂、牛的品种、性别等级、加工厂的作业班次、到加工厂的路程、卡车在加工厂卸货的等待时间、牛舍的持续时间和空间余量、温度湿度指数 (THI) 和风速。相关结果变量包括牛的流动性、胴体瘀伤、暗切(DC)、质量等级(QG)和热胴体重量(HCW)。所有统计分析均使用 SAS 9.4 进行。逻辑回归和线性回归用于分析相关预测变量和结果变量之间的关联。旅行距离和卡车等待时间的增加与较高的行动障碍几率相关(P = 0.0009 和 P = 0.007),旅行距离每增加 10 公里的几率比 (OR) 为 1.001(95% 置信区间 [CI]:1.000-1.001),等待时间每增加 1 分钟的几率比为 1.003(CI:1.001-1.004)。相反,路程每增加 10 公里,胴体擦伤的几率就会降低(OR:0.997,CI:0.996-0.998;P <0.0001)。滞留时间越长,发生直流电的几率越高(P = 0.0415),滞留时间每增加 60 分钟,OR 值为 1.034(CI:1.001-1.068)。结果表明了卡车到达管理(即调度、优先卸货)对流动性的重要性。重点关注货场管理(即密度和时间)可能会为提高肉类质量提供一些机会。
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来源期刊
Translational Animal Science
Translational Animal Science Veterinary-Veterinary (all)
CiteScore
2.80
自引率
15.40%
发文量
149
审稿时长
8 weeks
期刊介绍: Translational Animal Science (TAS) is the first open access-open review animal science journal, encompassing a broad scope of research topics in animal science. TAS focuses on translating basic science to innovation, and validation of these innovations by various segments of the allied animal industry. Readers of TAS will typically represent education, industry, and government, including research, teaching, administration, extension, management, quality assurance, product development, and technical services. Those interested in TAS typically include animal breeders, economists, embryologists, engineers, food scientists, geneticists, microbiologists, nutritionists, veterinarians, physiologists, processors, public health professionals, and others with an interest in animal production and applied aspects of animal sciences.
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