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DOI | 10.3390/plants11060717 |
Salt Stress in Plants and Mitigation Approaches | |
Ondrasek, Gabrijel; Rathod, Santosha; Manohara, Kallakeri Kannappa; Gireesh, Channappa; Anantha, Madhyavenkatapura Siddaiah; Sakhare, Akshay Sureshrao; Parmar, Brajendra; Yadav, Brahamdeo Kumar; Bandumula, Nirmala; Raihan, Farzana; Zielinska-Chmielewska, Anna; Merino-Gergichevich, Cristian; Reyes-Diaz, Marjorie; Khan, Amanullah; Panfilova, Olga; Seguel Fuentealba, Alex; Meier Romero, Sebastian; Nabil, Beithou; Wan, Chunpeng Craig; Shepherd, Jonti; Horvatinec, Jelena | |
发表日期 | 2022 |
EISSN | 2223-7747 |
卷号 | 11期号:6 |
英文摘要 | 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. |
英文关键词 | salt stress; neutral and alkaline salinity; plant-microbe associations; salinity and nanotechnology; soil amendments; artificial intelligence |
语种 | 英语 |
WOS研究方向 | Plant Sciences |
WOS类目 | Science Citation Index Expanded (SCI-EXPANDED) |
WOS记录号 | WOS:000774527700001 |
来源期刊 | PLANTS-BASEL
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/280993 |
作者单位 | University of Zagreb; Indian Council of Agricultural Research (ICAR); ICAR - Indian Institute of Rice Research; Indian Council of Agricultural Research (ICAR); ICAR - Central Coastal Agricultural Research Institute; Shahjalal University of Science & Technology (SUST); Poznan University of Economics & Business; Universidad de La Frontera; Universidad de La Frontera; University of Agriculture Faisalabad; Agricultural University Peshawar; Russian Research Institute of Fruit Crop Breeding; Universidad de La Frontera; Jiangxi Agricultural University |
推荐引用方式 GB/T 7714 | Ondrasek, Gabrijel,Rathod, Santosha,Manohara, Kallakeri Kannappa,et al. Salt Stress in Plants and Mitigation Approaches[J],2022,11(6). |
APA | Ondrasek, Gabrijel.,Rathod, Santosha.,Manohara, Kallakeri Kannappa.,Gireesh, Channappa.,Anantha, Madhyavenkatapura Siddaiah.,...&Horvatinec, Jelena.(2022).Salt Stress in Plants and Mitigation Approaches.PLANTS-BASEL,11(6). |
MLA | Ondrasek, Gabrijel,et al."Salt Stress in Plants and Mitigation Approaches".PLANTS-BASEL 11.6(2022). |
条目包含的文件 | 条目无相关文件。 |
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