ReviewFrontiers in plant science2022
Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (
Review in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional annotation and meta-analysis of maize transcriptomes reveal genes involved in biotic and abiotic stress.BMC genomics · 2024Pooled it
- Turbocharging crop breeding with integrated biotechnology for a climate-resilient future.Journal of integrative plant biology · 2026Review
- Fructans and Fructooligosaccharides in Plants and Fruits: Metabolism, Functional Roles, and Emerging Biotechnological Opportunities.Molecules (Basel, Switzerland) · 2026Review
- From Model Plants to Staple Crops: Molecular Mechanisms of Plant Saline-Alkali Tolerance.Plants (Basel, Switzerland) · 2026Review
- Transcriptome analysis reveals the role of jasmonate in regulating maize spikelet opening and seed set under high temperature stress.Frontiers in plant science · 2026Article
- Omics landscapes in molecular mechanisms withFood chemistry. Molecular sciences · 2025Review
- Overview of RING gene family in maize (Zea mays L.): ZmRING-93 enhances drought tolerance in transgenic Arabidopsis.BMC plant biology · 2025Article
- Integrating Genetic Diversity and Agronomic Innovations for Climate-Resilient Maize Systems.Plants (Basel, Switzerland) · 2025Review
- Transcriptomic analysis of maize leaves under different irrigation treatments in field conditions.BMC genomic data · 2025Article
- A full genome assembly reveals drought stress effects on gene expression and metabolite profiles in blackcurrant (Horticulture research · 2025Article
- Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.Frontiers in plant science · 2025Article
- Tools and Techniques to Accelerate Crop Breeding.Plants (Basel, Switzerland) · 2024Review
- Genetic diversity, relationships among traits and selection of tropical maize inbred lines for low-P tolerance based on root and shoot traits at seedling stage.Frontiers in plant science · 2024Article
- Sustainable agriculture.BMC plant biology · 2023Article
- A Review of Potato Salt Tolerance.International journal of molecular sciences · 2023Review
- Twenty years of mining salt tolerance genes in soybean.Molecular breeding : new strategies in plant improvement · 2023Article
- Plant Tolerance to Drought Stress with Emphasis on Wheat.Plants (Basel, Switzerland) · 2023Review
- Polyploidization and genomic selection integration for grapevine breeding: a perspective.Frontiers in plant science · 2023Review
- Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding.Plant phenomics (Washington, D.C.) · 2023Review
- Phyto-microbiome to mitigate abiotic stress in crop plants.Frontiers in microbiology · 2023Review
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput sequencing technologies (HSTs) have revolutionized crop breeding. The advent of these technologies has enabled the identification of beneficial quantitative trait loci (QTL), genes, and alleles for crop improvement. Climate change have made a significant effect on the global maize yield. To date, the well-known omic approaches such as genomics, transcriptomics, proteomics, and metabolomics are being incorporated in maize breeding studies. These approaches have identified novel biological markers that are being utilized for maize improvement against various abiotic stresses. This review discusses the current information on the morpho-physiological and molecular mechanism of abiotic stress tolerance in maize. The utilization of omics approaches to improve abiotic stress tolerance in maize is highlighted. As compared to single approach, the integration of multi-omics offers a great potential in addressing the challenges of abiotic stresses of maize productivity.
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