KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/76224
Title: | Salt Stress in Plants and Mitigation Approaches |
Other Titles: | Not Available |
Authors: | 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 |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | Faculty of Agriculture, The University of Zagreb, Svetosimunska c. 25, 10000 Zagreb, Croatia ICAR::Indian Institute of Rice Research ICAR—Central Coastal Agricultural Research Institute, Ela, Old Goa 403402, India ICAR—Krishi Vigyan Kendra, KVK, Balumath, Latehar 829202, India Department of Forestry and Environmental Sciences, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh Department of Business Activity and Economic Policy, Institute of Economics, Poznań University of Economics and Business, Al. Niepodległości 10, 61-875 Poznań, Poland Center of Plant, Soil Interaction and Natural Resources Biotechnology, Scientific and Technological Bioresource Nucleus, Universidad de La Frontera, Temuco 4780000, Chile Departamento de Ciencias Químicas y Recursos Naturales, Facultad de Ingeniería y Ciencias, Universidad de La Frontera, Temuco 4780000, Chile Department of Agronomy, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar 25130, Pakistan Russian Research Institute of Fruit Crop Breeding (VNIISPK), 302530 Zhilina, Orel District, Orel Region, Russia |
Published/ Complete Date: | 2022-02-26 |
Project Code: | Not Available |
Keywords: | salt stress neutral and alkaline salinity plant–microbe associations salinity and nanotechnology soil amendments artificial intelligence |
Publisher: | MDPI |
Citation: | 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. |
Series/Report no.: | Not Available; |
Abstract/Description: | 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. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | PLANT |
Journal Type: | NAAS journal |
NAAS Rating: | 9.94 |
Impact Factor: | 7.091 |
Volume No.: | 11(6) |
Page Number: | 717 |
Name of the Division/Regional Station: | Transfer of Techology and Training |
Source, DOI or any other URL: | https://doi.org/10.3390/plants11060717 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/76224 |
Appears in Collections: | CS-IIRR-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.