Genetic Identification and Characterisation of Crop Agronomic Traits and Stress Resistance

Sharma, N and Singh, D and Yogendra, K (2024) Genetic Identification and Characterisation of Crop Agronomic Traits and Stress Resistance. Agronomy (TSI), 14 (3). pp. 1-3. ISSN 2073-4395

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Abstract

Enhancing crops’ agronomic traits and resilience to stress is crucial for promoting food security and sustainable agriculture, particularly during climate change and for the growing global population. Genetic identification and characterisation are pivotal for comprehending the mechanisms underlying these traits and crops’ responses to stress. Various genetic tools and methodologies, such as quantitative trait locus (QTL) mapping, genomewide association studies (GWAS), marker-assisted selection (MAS), genomic selection (GS), and functional genomics techniques, like transcriptomics, proteomics, and metabolomics, have facilitated the recognition of crucial genomic regions associated with significant agronomic traits, like yield, quality, and resistance to both biotic and abiotic stresses. Hence, identifying leads for new genetic gains for crop breeding programs includes developing improved cultivars with heightened yield potential, enhanced nutritional quality, and resilience to stresses from pests and environmental factors. Leveraging genetic diversity through germplasm resources and molecular breeding strategies may be used to address these challenges.

Item Type:	Article
Divisions:	Global Research Program - Accelerated Crop Improvement
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Agronomic Traits, Stress Resistance, functional genomics techniques
Subjects:	Others > Genetic Engineering Others > Genetics and Genomics
Depositing User:	Mr Nagaraju T
Date Deposited:	18 Jun 2024 10:07
Last Modified:	18 Jun 2024 10:07
URI:	http://oar.icrisat.org/id/eprint/12710
Official URL:	https://www.mdpi.com/2073-4395/14/3/620
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	The Special Issue editors thank all authors who have dedicated their time and effort to contributing to this Special Issue. Additionally, we thank the reviewers and editorial managers for their valuable assistance in shaping this Special Issue.
Links:	Google Scholar

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