ReviewPlant biotechnology journal2025
Genomics-assisted breeding for designing salinity-smart future crops.
Review in Plant biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Melatonin-enabled omics: understanding plant responses to single and combined abiotic stresses for climate-smart agriculture.GM crops & food · 2026Review
- Functional genomic dissection and prediction of body size traits in pigs.Genetics, selection, evolution : GSE · 2026Article
- Decoding stress resilience in soybean: Regulatory networks and precision breeding under climate change.Journal of integrative plant biology · 2026Review
- Melatonin seed priming: A climate-smart, green strategy to enhance abiotic stress tolerance in plants.Journal of integrative plant biology · 2026Review
- Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.Journal of experimental botany · 2026Review
- Whole-plant spatiotemporal responses to salinity reveal osmotic and ionic drivers of salt tolerance in broccoli.BMC plant biology · 2026Article
- Recent Advances in Histone Methylation in Plant Adaptation to Salinity.Plants (Basel, Switzerland) · 2026Review
- Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Challenges in Bringing Pangenome Research Into Breeding: A Case Study in Rice.Plant biotechnology journal · 2026Review
- Applications of Gene-Editing Technologies in Enhancing Crop Stress Resistance with Emphasis on Rice.Plants (Basel, Switzerland) · 2026Review
- Geometric image-based phenotyping and physiological analysis for validation of rice salinity tolerance screening under artificial pot conditions.BMC plant biology · 2026Article
- Enhancement of Non-Enzymatic Antioxidants inInternational journal of molecular sciences · 2026Article
- Integrated multi-omics analysis reveals candidate genes for cuticular wax biosynthesis and molecular characteristics of a glossy mutant in rapeseed under natural drought stress.Frontiers in plant science · 2026Article
- PcNPF2.7 from the XerophyteBiology · 2025Article
- Synthetic Protein-Assisted Co-Assembly of Zeolitic Imidazolate Framework-8 andMolecules (Basel, Switzerland) · 2025Article
- Assessment of salinity tolerance in onion (Frontiers in plant science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.