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Brigitte Picard

Showing results (11-20 of 87) with videos related to

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Journal of the Science of Food and Agriculture|February 16, 2019
Assessment of cattle inter-individual cluster variability: the potential of continuum data from the farm-to-fork for ultimate beef tenderness managementMohammed Gagaoua, Brigitte Picard, Valérie Monteils
Journal of the Science of Food and Agriculture|August 4, 2018
Decision tree, a learning tool for the prediction of beef tenderness using rearing factors and carcass characteristicsMohammed Gagaoua, Valérie Monteils, Brigitte Picard
Meat Science|March 24, 2018
Associations among animal, carcass, muscle characteristics, and fresh meat color traits in Charolais cattleMohammed Gagaoua, Brigitte Picard, Valérie Monteils
Foods (Basel, Switzerland)|August 30, 2020
Protein Array-Based Approach to Evaluate Biomarkers of Beef Tenderness and Marbling in Cows: Understanding of the Underlying Mechanisms and PredictionMohammed Gagaoua, Muriel Bonnet, Brigitte Picard
Foods (Basel, Switzerland)|September 23, 2022
Does the Rearing Management following by Charolais Cull Cows Influence the Qualities of Carcass and Beef Meat?Julien Soulat, Brigitte Picard, Valérie Monteils
Journal of Proteomics|December 19, 2022
Relationships between the abundance of 29 proteins and several meat or carcass quality traits in two bovine muscles revealed by a combination of univariate and multivariate analysesBrigitte Picard, Arnaud Cougoul, Sébastien Couvreur, et al.
Journal of Proteomics|August 23, 2011
Functional analysis of beef tendernessNicolas Guillemin, Muriel Bonnet, Catherine Jurie, et al.
Histochemistry and Cell Biology|August 17, 2010
Development of image analysis tool for the classification of muscle fibre type using immunohistochemical stainingBruno Meunier, Brigitte Picard, Thierry Astruc, et al.
Foods (Basel, Switzerland)|July 25, 2019
Beef Tenderness Prediction by a Combination of Statistical Methods: Chemometrics and Supervised Learning to Manage Integrative Farm-To-Meat Continuum DataMohammed Gagaoua, Valérie Monteils, Sébastien Couvreur, et al.
Meat Science|July 28, 2017
The study of protein biomarkers to understand the biochemical processes underlying beef color development in young bullsMohammed Gagaoua, E M Claudia Terlouw, Brigitte Picard
Pageof 9

Showing results (11-20 of 87) with videos related to

Sort By:
Pageof 9
Journal of the Science of Food and Agriculture|February 16, 2019
Assessment of cattle inter-individual cluster variability: the potential of continuum data from the farm-to-fork for ultimate beef tenderness managementMohammed Gagaoua, Brigitte Picard, Valérie Monteils
Journal of the Science of Food and Agriculture|August 4, 2018
Decision tree, a learning tool for the prediction of beef tenderness using rearing factors and carcass characteristicsMohammed Gagaoua, Valérie Monteils, Brigitte Picard
Meat Science|March 24, 2018
Associations among animal, carcass, muscle characteristics, and fresh meat color traits in Charolais cattleMohammed Gagaoua, Brigitte Picard, Valérie Monteils
Foods (Basel, Switzerland)|August 30, 2020
Protein Array-Based Approach to Evaluate Biomarkers of Beef Tenderness and Marbling in Cows: Understanding of the Underlying Mechanisms and PredictionMohammed Gagaoua, Muriel Bonnet, Brigitte Picard
Foods (Basel, Switzerland)|September 23, 2022
Does the Rearing Management following by Charolais Cull Cows Influence the Qualities of Carcass and Beef Meat?Julien Soulat, Brigitte Picard, Valérie Monteils
Journal of Proteomics|December 19, 2022
Relationships between the abundance of 29 proteins and several meat or carcass quality traits in two bovine muscles revealed by a combination of univariate and multivariate analysesBrigitte Picard, Arnaud Cougoul, Sébastien Couvreur, et al.
Journal of Proteomics|August 23, 2011
Functional analysis of beef tendernessNicolas Guillemin, Muriel Bonnet, Catherine Jurie, et al.
Histochemistry and Cell Biology|August 17, 2010
Development of image analysis tool for the classification of muscle fibre type using immunohistochemical stainingBruno Meunier, Brigitte Picard, Thierry Astruc, et al.
Foods (Basel, Switzerland)|July 25, 2019
Beef Tenderness Prediction by a Combination of Statistical Methods: Chemometrics and Supervised Learning to Manage Integrative Farm-To-Meat Continuum DataMohammed Gagaoua, Valérie Monteils, Sébastien Couvreur, et al.
Meat Science|July 28, 2017
The study of protein biomarkers to understand the biochemical processes underlying beef color development in young bullsMohammed Gagaoua, E M Claudia Terlouw, Brigitte Picard
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