Enhancing Crop Resilience: Advances and Challenges in Marker-Assisted Selection for Disease Resistance
Aniket Ramdas Mapari, Suhel Mehandi
Journal of Advances in Biology & Biotechnology · pp. 569–580 · Published 19 Jun 2024
10.9734/jabb/2024/v27i71018Abstract
Marker-assisted selection (MAS) has emerged as a pivotal technique in crop improvement programs, enabling the identification and incorporation of disease-resistant traits in crops. This review highlights the significance of MAS in enhancing disease resistance, the current state of research, and the challenges faced in its implementation. Various case studies, including successful applications in crops such as rice, wheat, and maize, demonstrate the potential of MAS in sustainable agriculture. The review also discusses the integration of MAS with other modern breeding techniques and emphasizes the need for advanced genomic tools for future advancements in this field. The development of advanced molecular markers, high-throughput screening techniques, and the incorporation of genomic selection approaches have all contributed to recent developments in MAS. Even in intricate polygenic situations, these developments have significantly improved t+he precision and speed of discovering disease-resistant characteristics. Case studies involving important crops such as maize, wheat, and rice show how MAS can be successfully applied to create varieties with improved resistance to certain diseases, significantly lowering crop losses and reduced use of pesticides. These developments have consequences that go beyond the purely technical; they could have a big influence on environmentally friendly agriculture methods, cost effectiveness, and sustainable development. This study addresses the possible future path of MAS in crop breeding and summarizes the major discoveries from current research, highlighting both the successes and difficulties in the field. The body of data highlights MAS as a critical instrument in the toolbox of the contemporary breeder, essential for satisfying the ever-increasing demands of a world that is changing quickly.
Cited by 20
Danielle Wiles, Kshamata Gurung, Eden Tongson · Frontiers in Agronomy · 2025
F. P. Oyedoyin, Olufisayo Kolade, P. A. Agre · Euphytica · 2025
Andrews Danso Ofori, Tengda Zheng, John Kwame Titriku · International Journal of Molecular Sciences · 2025
Tarali Borgohain, Remya Suma, Mantesh Muttappagol · Functional & Integrative Genomics · 2026
Collins Bugingo, Alessandro Infantino, Paul Okello · Pathogens · 2025
Etalesh Goutam, Bharti, Satya Prakash · Crop Improvement Strategies in Brassica species: Applied Science · 2026
Femi Patrick Oyedoyin, Olufisayo Kolade, Paterne Angelot Agre · 2025
Richa Gupta, Richa Sharma, Vaishnavi Srivastava · AI Technologies for Crop Breeding · 2026
Liza Farzana, Sayed Shahidul Islam, Mridula Rahman · Discover Agriculture · 2025
Vedant Gautam, Vibhootee Garg, Hivre Anand Dashrath · Rice · 2025
Showing 15 of 20 known citations — external sources report more than can currently be individually listed.
Related research
- Genomic-Assisted Breeding Tools for Grain and Nutritional Quality Improvement in Rice — shares topic coverage
- Applied Genetics and Plant Breeding in 21st Century for Crop Improvement – Status and Prospects — shares topic coverage
- Overview of Marker-assisted Selection in Animal Breeding — shares topic coverage
- Morphological and Molecular Screening for Bacterial Leaf Blight Resistance in Land Races of Rice (Oryza sativa L.) — shares topic coverage
- The Regulation of Stress Responses in Fruit Crops is Influenced by Plant Hormones: A Review — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
20
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.