The Scientific Edge of Banding Techniques in Livestock Improvement
The study of chromosomes has revolutionized livestock improvement, particularly through the application of banding techniques. These techniques have enabled geneticists to identify chromosomal abnormalities, assess genetic diversity, and enhance selective breeding programs. Banding techniques were first introduced in the 1970s, revolutionizing cytogenetics by allowing precise identification of individual chromosomes. Over time, methods such as G-, Q-, C-, R- and NOR banding have significantly enhanced the study of chromosomal structures and abnormalities in various species. These techniques offer several advantages in livestock improvement enhancing breeding efficiency, productivity and disease management in livestock populations. Banding techniques are essential for livestock improvement, as they enable chromosomal analysis, help detect genetic variations, and support selective breeding programs. Future advancements in banding techniques will likely integrate with molecular cytogenetics, improving the resolution of chromosomal analysis. These developments aim to overcome current limitations such as low resolution and difficulty in identifying subtle chromosomal rearrangements, thereby improving genetic evaluation in livestock. These innovations will enhance genetic research, aiding in better selection strategies and disease resistance in livestock. Therefore, this review explores the various banding techniques, their methodologies and their role in livestock breeding and genetic improvement.
Authors
- Olympica Sarma (ORCID: https://orcid.org/0000-0003-4275-986X)
- Arundhati Phookan (ORCID: https://orcid.org/0000-0001-8501-4564)
- Ankita Gogoi (ORCID: https://orcid.org/0000-0001-8734-1278)
- Bula Das
Publication Details
- Journal
- Journal of Scientific Research and Reports
- Published
- 2025-04-17
- DOI
- https://doi.org/10.9734/jsrr/2025/v31i42982
- Primary Topic
- Animal Behavior and Welfare Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00