INTAQT-supported PhD research advances evidence-based food quality assessment
On 23 March 2026, Mara Antonia Gagliano successfully defended her doctoral thesis at the Alma… 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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On 23 March 2026, Mara Antonia Gagliano successfully defended her doctoral thesis at the Alma… Read more »
On 18 March 2026, the four EU-funded sister projects INTAQT, PATHWAYS, mEATquality and Code: Re-farm,… Read more »
On 24 February 2026, the INTAQT Consortium held an extended Executive Committee (ExCom) meeting in… Read more »