This work sets out a methodological approach to assess how to simultaneously control together Animal Performances,nutritional value, sensory quality of meat. Seventy-one young bulls were characterized by 97 variables.Variables of each element were arranged into either 5 homogeneous Intermediate Scores (IS) or 2 Global Indices(GI) via a clustering of variables and analysed together by Principal Component Analysis (PCA). These 3 pools of 5IS (or 2 GI) were analysed together by PCA to established the links existing among the triptych. Classification onIS showed no opposition between Animal Performances and nutritional value of meat, as it seemed possible toidentify animals with a high butcher value and intramuscular fat relatively rich in poly...
Principal component analysis (PCA) was carried out to study the relationship between 24 meat quality...
Principal component analysis (PCA) was performed to study the relationships between technological, o...
peer reviewedStudy of the variability of pork quality by Principal Component Analysis (PCA) Principa...
International audienceThis work sets out a methodological approach to assess how to simultaneously c...
Animal performances (including feed efficiency), nutritional value and sensory quality of meat were ...
International audienceThe beef cattle industry is facing multiple problems, from the unequal distrib...
The beef cattle industry is facing multiple problems, from the unequal distribution of added value t...
International audienceIn the beef sector, one of the major challenges is to early predict carcass an...
In the present investigation, Principal Component Analysis (PCA) was applied to various variables to...
Fifty five suckling kids from three genotypes and two sexes protected by the PGI "Cabrito de Barroso...
National audienceThis work initially published in Meat Science (122, 163-172) in 2016 provides a new...
peer reviewedThirty-six young finishing bulls from three breeds (Belgian Blue, Limousin and Aberdeen...
To identify the benefic effects of breeding practices, for the fattening period, on the Longissimus ...
Records of 137 animals of a cattle population Nellore (86 males) and of a generation F1 bovine comin...
The aim of this trial was to study the influence of two protein sources (faba bean-FB vs soybean mea...
Principal component analysis (PCA) was carried out to study the relationship between 24 meat quality...
Principal component analysis (PCA) was performed to study the relationships between technological, o...
peer reviewedStudy of the variability of pork quality by Principal Component Analysis (PCA) Principa...
International audienceThis work sets out a methodological approach to assess how to simultaneously c...
Animal performances (including feed efficiency), nutritional value and sensory quality of meat were ...
International audienceThe beef cattle industry is facing multiple problems, from the unequal distrib...
The beef cattle industry is facing multiple problems, from the unequal distribution of added value t...
International audienceIn the beef sector, one of the major challenges is to early predict carcass an...
In the present investigation, Principal Component Analysis (PCA) was applied to various variables to...
Fifty five suckling kids from three genotypes and two sexes protected by the PGI "Cabrito de Barroso...
National audienceThis work initially published in Meat Science (122, 163-172) in 2016 provides a new...
peer reviewedThirty-six young finishing bulls from three breeds (Belgian Blue, Limousin and Aberdeen...
To identify the benefic effects of breeding practices, for the fattening period, on the Longissimus ...
Records of 137 animals of a cattle population Nellore (86 males) and of a generation F1 bovine comin...
The aim of this trial was to study the influence of two protein sources (faba bean-FB vs soybean mea...
Principal component analysis (PCA) was carried out to study the relationship between 24 meat quality...
Principal component analysis (PCA) was performed to study the relationships between technological, o...
peer reviewedStudy of the variability of pork quality by Principal Component Analysis (PCA) Principa...