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CC BY V4.0, Open Access
Journal article
Genomics-assisted breeding for designing salinity-smart future crops
Plant biotechnology journal, Vol.23(8), pp.3119-3151
2025
PMID: 40390692
Appears in Open Access via Read & Publish Agreements
Abstract
Climate change induces many abiotic stresses, including soil salinity, significantly challenging global agriculture. Salinity stress tolerance (SST) is a complex trait, both physiologically and genetically, and is conferred at various levels of plant functional organization. As both the sustainability and profitability of agricultural production systems are critically dependent on SST, plant breeders are trying to design and develop salinity-smart crop plants capable of thriving under high salinity conditions. The accessibility of extreme-quality reference genomes for cultivated crops, naturally salinity-smart plants, and crop wild relatives has fast-tracked the discovery of key genes and quantitative trait loci (QTLs), marker development, genotyping assays and molecular breeding products with improved SST. Employing fast-forward breeding tools, namely genomic selection (GS), haplotype-based breeding (HBB), artificial intelligence (AI) and high-throughput phenotyping (HTP), has shown influence not only for fast-tracking genetic gains but also for reducing the time and cost of developing commercial cultivars with enhanced SST and yield stability. This review discusses the advancement and prospects of various genomics-assisted breeding (GAB) tools, including genome sequencing, QTL mapping, GWAS, GS, HBB, pan-genomics, single-cell/tissue genomics and phenotyping, epigenomics and transgenomics, to exploit the genetic landscape for improving SST. Additionally, we explore the integration of HTP and AI, which demonstrates how these innovative approaches can optimize breeding efficiency and guide large-scale breeding efforts for designing salinity-smart crops to ensure sustainable agriculture and global food security. The collective adoption of these tools suggests bridging the gap between research and field application to deliver stress-smart varieties designed for saline-affected regions worldwide.
Details
- Title
- Genomics-assisted breeding for designing salinity-smart future crops
- Authors/Creators
- Ali Raza - Shenzhen UniversityQamar U Zaman - Hainan UniversitySergey Shabala - The University of Western AustraliaMark Tester - King Abdullah University of Science and TechnologyRana Munns - ARC Centre of Excellence in Plant Energy BiologyZhangli Hu - Shenzhen UniversityRajeev K Varshney - Murdoch University
- Publication Details
- Plant biotechnology journal, Vol.23(8), pp.3119-3151
- Publisher
- Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.
- Number of pages
- 33
- Grant note
- KCXFZ20211020164013021 / Shenzhen Special Fund for Sustainable Development Murdoch University 32273118 / National Natural Science Foundation of China 2022B1111070005 / Guangdong Key R & D Project UMU2303-003RTX / Grains Research and Development Corporation UMU2404-003RTX / Grains Research and Development Corporation WSU2303-001RTX / Grains Research and Development Corporation GuikeAA24263042 / Guangxi Major Program for Science and Technology UMU2403-009RTX / Grains Research and Development Corporation XMHT20220104019 / The Engineering Research Center Support Program from Development and Reform Commission of Shenzhen Municipality
- Identifiers
- 991005780608107891
- Copyright
- © 2025 The Author(s).
- Murdoch Affiliation
- Food Futures Institute
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.49 Plant Stress Responses
- Web Of Science research areas
- Biotechnology & Applied Microbiology
- Plant Sciences
- ESI research areas
- Plant & Animal Science