Ellies-Oury Marie-Pierre, Hocquette Jean-François, Chriki Sghaier, Conanec Alexandre, Farmer Linda, Chavent Marie, Saracco Jérôme
Bordeaux Science Agro, 1 cours du Général de Gaulle, CS 40201, 33175 Gradignan, France.
INRAE, UMR1213 Herbivores, 63122 Saint Genès Champanelle, France.
Foods. 2020 Apr 22;9(4):525. doi: 10.3390/foods9040525.
The beef industry is organized around different stakeholders, each with their own expectations, sometimes antagonistic. This article first outlines these differing perspectives. Then, various optimization models that might integrate all these expectations are described. The final goal is to define practices that could increase value for animal production, carcasses and meat whilst simultaneously meeting the main expectations of the beef industry. Different models previously developed worldwide are proposed here. Two new computational methodologies that allow the simultaneous selection of the best regression models and the most interesting covariates to predict carcass and/or meat quality are developed. Then, a method of variable clustering is explained that is accurate in evaluating the interrelationships between different parameters of interest. Finally, some principles for the management of quality trade-offs are presented and the Meat Standards Australia model is discussed. The "Pareto front" is an interesting approach to deal jointly with the different sets of expectations and to propose a method that could optimize all expectations together.
牛肉行业是围绕不同的利益相关者组织起来的，每个利益相关者都有自己的期望，有时甚至相互对立。本文首先概述了这些不同的观点。然后，描述了各种可能整合所有这些期望的优化模型。最终目标是确定能够增加动物生产、胴体和肉类价值，同时满足牛肉行业主要期望的做法。这里提出了此前在全球范围内开发的不同模型。开发了两种新的计算方法，可同时选择最佳回归模型和最有趣的协变量来预测胴体和/或肉质。然后，解释了一种变量聚类方法，该方法在评估不同感兴趣参数之间的相互关系方面很准确。最后，提出了一些质量权衡管理原则，并讨论了澳大利亚肉类标准模型。“帕累托前沿”是一种有趣的方法，可共同处理不同的期望集，并提出一种能够同时优化所有期望的方法。
