Soni, Ravikant and Ashaq, Mohd and Manjunath, P. and ., Ashoka, P. and Pandey, Shivam Kumar and Hosur, Suraj R. and Das, Reemashree and Das, Juman and Raj, Ritik and Singh, Bal veer (2024) Harnessing Genomic Resources and Molecular Breeding Techniques for Advancing Crop Resilience and Productivity. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 25 (11-12). pp. 124-136. ISSN 0972-2025
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Abstract
Crop improvement and adaptation are critical to ensure global food security in the face of climate change, population growth, and resource limitations. Exploiting genomic resources and molecular breeding techniques offers immense potential to accelerate the development of resilient, high-yielding crop varieties. This review provides an overview of the current state and future prospects of leveraging genomics and molecular breeding for crop improvement, with a focus on major food crops. We discuss key genomic resources such as reference genomes, transcriptomes, and pan-genomes, as well as powerful molecular breeding approaches like marker-assisted selection, genomic selection, and genome editing. Integrating these tools into crop breeding pipelines can greatly enhance the precision and efficiency of developing improved varieties with desirable traits such as abiotic stress tolerance, disease resistance, and enhanced nutritional quality. We also highlight successful examples of applying these techniques in crops like rice, wheat, maize, and legumes. Furthermore, we explore the role of big data, machine learning, and systems biology in extracting actionable insights from the vast genomic data being generated. Finally, we discuss the challenges and opportunities in translating genomic discoveries into improved crop varieties, emphasizing the need for multidisciplinary collaborations, capacity building, and public-private partnerships. Harnessing the power of genomics and molecular breeding will be pivotal in developing climate-resilient crops to feed the growing global population sustainably.
Item Type: | Article |
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Subjects: | OA STM Library > Biological Science |
Depositing User: | Unnamed user with email support@oastmlibrary.com |
Date Deposited: | 29 Oct 2024 08:11 |
Last Modified: | 29 Oct 2024 08:11 |
URI: | http://geographical.openscholararchive.com/id/eprint/1519 |