The present of Italian Mediterranean buffalo: precision breeding based on multi-omics data

Authors

  • Mayra Gomez Associazione Nazionale Allevatori Specie Bufalina
  • Roberta Cimmino Italian National Association of Buffalo Breeders
  • Dario Rossi Italian National Association of Buffalo Breeders
  • Gianluigi Zullo Italian National Association of Buffalo Breeders
  • Giuseppe Campanile Federico II University Naples, Italy
  • Gianluca Neglia Federico II University Naples, Italy
  • Stefano Biffani National Research Council (CNR), Institute of Agricultural Biology and Biotechnology (IBBA)

DOI:

https://doi.org/10.21014/actaimeko.v12i4.1692

Keywords:

buffalo, genetic improvement, genotype, phenotype, accuracy

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.

Downloads

Published

2023-12-05

Issue

Vol. 12 No. 4 (2023)

Section

Research Papers

License

Copyright (c) 2023 Mayra Gomez, Roberta Cimmino, Dario Rossi, Gianluigi Zullo, Giuseppe Campanile, Gianluca Neglia, Stefano Biffani

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the CC BY 4.0, Creative Commons Attribution 4.0 International License.

Users are free to

  • share, i.e. copy and redistribute the material in any medium or format for any purpose, even commercially;
  • adapt, i.e. remix, transform, and build upon the material for any purpose, even commercially.

At the same time, the user must give appropriate credit, provide a link to the license, and indicate if changes were made.
Additional information about the license can be found at: https://creativecommons.org/licenses/by/4.0/.

Authors are

  • able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).