Various Statistical Approaches to Assess and Predict Carcass and Meat Quality Traits

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 p...

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Bibliographic Details
Published inFoods Vol. 9; no. 4; p. 525
Main Authors Ellies-Oury, Marie-Pierre, Hocquette, Jean-François, Chriki, Sghaier, Conanec, Alexandre, Farmer, Linda, Chavent, Marie, Saracco, Jérôme
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 22.04.2020
MDPI
Subjects
Animal production
Beef
bovine
carcass
Carcasses
Clustering
Computer applications
Consumers
Farmers
Food science
Industrial development
Life Sciences
Marketing
Meat
Meat quality
meat standards Australia
Optimization
Regression analysis
Regression models
Statistical analysis
trade-off
Europe
meat quality
trade-off
carcass
bovine
meat standards Australia
optimization
Meat standards Australia
Bovine
Carcass
Optimization
Trrade-o
Meat quality
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Summary: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.
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PMCID: PMC7230583
ISSN:2304-8158
2304-8158
DOI:10.3390/foods9040525