Marker-Assisted Selection: Unlocking Faster and Smarter Crop Improvement through DNA Science

Published by Kapil Deb Nath on

Scientia Review
Scientia Review
Volume 2, 2026 – Issue 3
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Ragulakollu SravanthiDepartment of Genetics and Plant Breeding, Tamil Nadu Agricultural University, Coimbatore-641003Ragulakollu SravanthiDepartment of Genetics and Plant Breeding, Tamil Nadu Agricultural University, Coimbatore-641003sravsagriragulakollu@gmail.com Department of Genetics and Plant Breeding, Tamil Nadu Agricultural University, Coimbatore-641003
Scientia Review · 2(3), 2026 · Article ID: SR01094 · ISSN: 3107-7919
Received: 23 February 2026 Revised: 24 February 2026 Accepted: 6 March 2026 Published online: 11 March 2026
Cite this article
Sravanthi, R. (2026). Marker-Assisted Selection: Unlocking Faster and Smarter Crop Improvement Through DNA Science. Scientia Review, 2(3), 5-7
Abstract

Global agriculture faces unprecedented challenges due to climate change, emerging pests and diseases, shrinking arable land, and the need to feed a rapidly growing population. Conventional breeding methods, though successful, are time-consuming and often influenced by environmental factors that mask the true genetic potential of plants. Marker-Assisted Selection (MAS) has emerged as a revolutionary molecular breeding approach that integrates DNA-based markers with traditional selection methods to accelerate crop improvement. By identifying and selecting desirable genes at the seedling stage, MAS enhances precision, reduces breeding cycles, and increases selection efficiency. This technology is particularly valuable for introgressing complex traits such as disease resistance, drought tolerance, salinity tolerance, and quality attributes through gene pyramiding and backcross breeding strategies. With advances in genomics, high-throughput genotyping, and bioinformatics, MAS has significantly contributed to the development of climate-resilient, high-yielding crop varieties.

Keywords: Marker-Assisted Selection, bioinformatics, climate-resilient, phenotype, genotypes