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Impacts of salinity stress on crop plants: improving salt tolerance through genetic and molecular dissection
Open accessAbstract
Improper use of water resources in irrigation that contain a significant amount of salts, faulty agronomic practices such as improper fertilization, climate change etc. are gradually increasing soil salinity of arable lands across the globe. It is one of the major abiotic factors that inhibits overall plant growth through ionic imbalance, osmotic stress, oxidative stress, and reduced nutrient uptake. Plants have evolved with several adaptation strategies at morphological and molecular levels to withstand salinity stress. Among various approaches, harnessing the crop genetic variability across different genepools and developing salinity tolerant crop plants offer the most sustainable way of salt stress mitigation. Some important major genetic determinants controlling salinity tolerance have been uncovered using classical genetic approaches. However, its complex inheritance pattern makes breeding for salinity tolerance challenging. Subsequently, advances in sequence based breeding approaches and functional genomics have greatly assisted in underpinning novel genetic variants controlling salinity tolerance in plants at the whole genome level. This current review aims to shed light on physiological, biochemical, and molecular responses under salt stress, defense mechanisms of plants, underlying genetics of salt tolerance through bi-parental QTL mapping and Genome Wide Association Studies, and implication of Genomic Selection to breed salt tolerant lines.
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“High salt levels disrupt the ionic balance within plant tissues, particularly by competing with essential ions such as potassium (K⁺), which are necessary for the optimal functioning of many enzymes53,60.”
From Cold plasma technology as a pre-treatment for seed priming enhances germination and reduces salinity stress in Prosopis Koelziana (2025) · cites this paper as [60]
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Metadata
- Authors
- Atta, K., Mondal, S., Gorai, S., Singh, A. P., Kumari, A., Ghosh, T., Roy, A., Hembram, S., Gaikwad, D. J., Mondal, S., Bhattacharya, S., Jha, U. C., & Jespersen, D.
- Affiliations
- Bidhan Chandra Krishi Viswavidyalaya (IN)
- Indian Council of Agricultural Research (IN)
- Government of West Bengal (IN)
- Centurion University of Technology and Management (IN)
- Indian Institute of Pulses Research (IN)
- University of Georgia (US)
- Corresponding author
- Gorai, Shouvik
- Jespersen, David
- ORCID
- Venue
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Published
- 2023-09-15
- Volume
- 14
- Pages
- 1241736-1241736
- ISSN
- 1664-462X (ISSN-L)
- PMC
- PMC10540871
- OpenAlex
- W4386836861
- Cited by
- 523
- References
- 257
- Citations by year
- 2026: 232 · 2025: 212 · 2024: 79
- FWCI
- 12.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Plant Science (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Stress Responses and Tolerance
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
- Keywords
- salt stress, salt tolerance, cultivated plants, soil salinity, osmotic stress, oxidative stress, ionic imbalance, nutrient uptake, plant adaptation strategies, QTL mapping, genome-wide association study, genomic selection, salt tolerance breeding, functional genomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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