Doctoral Success: John Albechaalany’s Thesis Defense and INTAQT Milestone
On 6 March 2025, John Albechaalany successfully defended his doctoral thesis in Clermont-Ferrand, surrounded by… Read more »
The ability to accurately predict breed composition using genomic information has many potential uses including increasing the accuracy of genetic evaluations, optimising mating plans and as a parameter for genotype quality control. The objective of the present study was to use a database of genotyped purebred and crossbred cattle to compare breed composition predictions using a freely available software, Admixture, with those from a single nucleotide polymorphism Best Linear Unbiased Prediction (SNP-BLUP) approach; a supplementary objective was to determine the accuracy and general robustness of low-density genotype panels for predicting breed composition.
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Deciphering the underlying mechanisms of the oxidative perturbations and impaired meat quality in Wooden breast myopathy by label-free quantitative MS-based proteomics
The study aimed to investigate biochemical mechanisms occurred in Wooden breast (WB) chicken meat, with attention… Read more »
Exploring European Taste: Do Consumers in France, Italy, and Poland Prefer Beef Differently?
As part of the INTAQT project, the International Meat Research 3G (IMR3G) Foundation has designed… Read more »