Related Experiment Video
Updated: Nov 6, 2025

05:01
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
3.5K
Genome-wide association mapping in maize: status and prospects
Kumari Shikha1, J P Shahi1, M T Vinayan2
1Department of Genetics and Plant Breeding, Institute of Agriculltural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh India.
3 Biotech
|May 10, 2021
Summary
Genome-wide association studies (GWAS) are powerful for understanding maize genetics, identifying genomic regions linked to traits and stresses. This review explores GWAS
Area of Science:
- Agricultural Science
- Genomics
- Plant Breeding
Background:
- Maize (Zea mays) is a vital global crop, yet its productivity is hampered by various stresses.
- Conventional genetic mapping methods have shown limitations in dissecting complex polygenic traits.
- Genome-wide association studies (GWAS) offer a powerful approach to uncover genetic underpinnings of complex traits in maize.
Purpose of the Study:
- To review the application and prospects of GWAS in maize for enhancing yield, quality, and stress tolerance.
- To discuss the strengths and challenges of utilizing GWAS in molecular breeding and genomic selection strategies.
- To facilitate a deeper understanding of the genetic mechanisms governing complex traits in maize.
Main Methods:
- Review of existing literature on Genome-wide association studies (GWAS) in maize.
- Analysis of GWAS successes in identifying genomic regions associated with various traits and stresses.
- Exploration of the potential of GWAS for molecular breeding and genomic selection.
Main Results:
- GWAS has successfully identified thousands of genomic regions associated with abiotic and biotic stresses in maize.
- These identified regions are crucial for understanding and improving agronomic traits affected by environmental challenges.
- GWAS provides a higher resolution for trait mapping compared to conventional methods.
Conclusions:
- Genome-wide association studies (GWAS) are instrumental in unraveling the genetic basis of complex traits in maize.
- The insights gained from GWAS can significantly improve marker-assisted selection and accelerate breeding programs for enhanced maize varieties.
- Further application of GWAS holds great promise for boosting maize productivity and resilience, particularly in regions like India.

