Caprine Genome Analysis Reveals Valuable Insights into Selection of Enhanced Phenotypic Traits to Enable Improved Goat Breeding Programs

Author Details

Ayoola J. Shoyombo, Van Huong Do and Andrew W. Taylor-Robinson

Journal Details

Published

Published: 20 July 2018 | Article Type :

Abstract

A commonly farmed bovid ruminant, the goat is often kept in low input production systems, frequently at subsistence levels. Under such conditions, the adoption of effective commercial breeding programs is limited, let alone engaging more advanced technologies such as those needed for marker-assisted selection. Developments have been made in gene mapping of the sheep, another small ruminant, with the marker map now consisting of more than 1,200 microsatellites, and a virtual genome sequence together with a very dense single nucleotide polymorphism map are expected. Gene mapping in goats has advanced far less, with mainly some activity in dairy herds, but historically this was hampered greatly by the expense of genotyping for genomic selection in goat breeding. However, rapidly reducing genotyping costs coupled with a better understanding of how to maximize benefits of genomic selection mean adoption is poised to rise dramatically. Integration of genotypic information into commercial genetic evaluation and optimal selection strategies is an ongoing challenge that deserves more research investment and industry stakeholder engagement. This review of current efforts serves to evaluate how far the work on the caprine genome is progressing and to highlight areas for future consideration.

Keywords: bovid, goat, genome, sequence, genotype, phenotype, selection, breeding.

Creative Commons License

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

Copyright © Author(s) retain the copyright of this article.

Statistics

303 Views

430 Downloads

Volume & Issue

Article Type

How to Cite

Citation:

Ayoola J. Shoyombo, Van Huong Do and Andrew W. Taylor-Robinson. (2018-07-20). "Caprine Genome Analysis Reveals Valuable Insights into Selection of Enhanced Phenotypic Traits to Enable Improved Goat Breeding Programs." *Volume 2*, 3, 15-22