Salt Stress in Plants and Mitigation Approaches
KRISHI: Publication and Data Inventory Repository
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Title |
Salt Stress in Plants and Mitigation Approaches
Not Available |
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Creator |
Gabrijel Ondrasek
Santosha Rathod Kallakeri Kannappa Manohara Channappa Gireesh Madhyavenkatapura Siddaiah Anantha Akshay Sureshrao Sakhare Brajendra Parmar Brahamdeo Kumar Yadav Nirmala Bandumula Farzana Raihan Anna Zielińska-Chmielewska Cristian Meriño-Gergichevich Marjorie Reyes-Díaz Amanullah Khan Olga Panfilova Alex Seguel Fuentealba Sebastián Meier Romero Beithou Nabil Chunpeng (Craig) Wan Jonti Shepherd |
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Subject |
salt stress
neutral and alkaline salinity plant–microbe associations salinity and nanotechnology soil amendments artificial intelligence |
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Description |
Not Available
Salinization of soils and freshwater resources by natural processes and/or human activities has become an increasing issue that affects environmental services and socioeconomic relations. In addition, salinization jeopardizes agroecosystems, inducing salt stress in most cultivated plants (nutrient deficiency, pH and oxidative stress, biomass reduction), and directly affects the quality and quantity of food production. Depending on the type of salt/stress (alkaline or pH-neutral), specific approaches and solutions should be applied to ameliorate the situation on-site. Various agro-hydrotechnical (soil and water conservation, reduced tillage, mulching, rainwater harvesting, irrigation and drainage, control of seawater intrusion), biological (agroforestry, multi-cropping, cultivation of salt-resistant species, bacterial inoculation, promotion of mycorrhiza, grafting with salt-resistant rootstocks), chemical (application of organic and mineral amendments, phytohormones), bio-ecological (breeding, desalination, application of nano-based products, seed biopriming), and/or institutional solutions (salinity monitoring, integrated national and regional strategies) are very effective against salinity/salt stress and numerous other constraints. Advances in computer science (artificial intelligence, machine learning) provide rapid predictions of salinization processes from the field to the global scale, under numerous scenarios, including climate change. Thus, these results represent a comprehensive outcome and tool for a multidisciplinary approach to protect and control salinization, minimizing damages caused by salt stress. Not Available |
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Date |
2023-02-16T07:26:25Z
2023-02-16T07:26:25Z 2022-02-26 |
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Type |
Article
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Identifier |
Ondrasek, G., Santosha Rathod., Manohara, K. K., Gireesh, C., Anantha, M. S., Sakhare, A. S., Parmar, B., Yadav, B. K., Bandumula, N., Raihan, F., Zielińska-Chmielewska, A., Meriño-Gergichevich, C., Reyes-Díaz, M., Khan, A., Panfilova, O., Seguel Fuentealba, A., Romero, S.M., Nabil, B., Wan, C., Shepherd, J., Horvatinec, J. (2022). Salt Stress in Plants and Mitigation Approaches. Plants, 11, 717. https://doi.org/10.3390/plants11060717.
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/76224 |
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Language |
English
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Relation |
Not Available;
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Publisher |
MDPI
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