Mayra Gomez, R. Cimmino, Dario Rossi, G. Zullo, G. Campanile, Gianluca Neglia, Stefano Biffani
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引用次数: 0
Abstract
Genetic evaluation in the Italian Mediterranean Buffalo (IMB) traditionally relied on the BLUP method (best linear unbiased predictor), a mixed model system incorporating both random and fixed effects simultaneously. However, recent advancements in genome sequencing technologies have opened up the opportunity to incorporate genomic information into genetic evaluations. The ssGBLUP (single-step best linear unbiased predictor) has become the method par excellence. It replaces the traditional relationship matrix with one that combines pedigree and genomic relationships, allowing for the estimation of genetic values for non-genotyped animals. The findings of this study highlight how genomic selection enhances the precision of breeding values, facilitates greater genetic advancement and reduces the generation interval, ultimately enabling a rapid return on investment.
期刊介绍:
The main goal of this journal is the enhancement of academic activities of IMEKO and a wider dissemination of scientific output from IMEKO TC events. High-quality papers presented at IMEKO conferences, workshops or congresses are seleted by the event organizers and the authors are invited to publish an enhanced version of their paper in this journal. The journal also publishes scientific articles on measurement and instrumentation not related to an IMEKO event.