Rhizosphere Engineering: An Innovative Approach for Sustainable Crop Production in Sodic Soils

  • T. Damodaran
  • V. K. Mishra


This paper discusses the challenges in the management of salt-affected soils and strategies for manipulating the rhizosphere of sodic soils through the rhizosphere engineering approach. The basic objective lies in utilization of the microbial diversity in the rhizosphere for inducing system tolerance to plants against the salt stress and also identification of potential rhizoshperic microbial community with enhanced growth promotion properties and utilization of these microbes for enhancing the productivity through suitable mass multiplication protocol on a dynamic media and substrate. Understanding the physiology and mechanism of the plant growth-promoting microorganisms forms the basic and fundamental approach to engineer them in the plant system using various delivery methods. Prominent mechanisms involved in growth promotion are solubilization of the phosphorus that is in unavailable form in the soil; production of ACC deaminase an enzyme that curtails the production of ethylene, the senescence hormone under the salt-affected environment; increase in the auxin content in the roots; and imparting tolerance to biotic stress through production of siderophores. The activity of root-associated bacterial communities also can be enhanced by soil amendment through utilization of dynamic organic substrate, a process that has allowed the selection of bacterial consortia that can interfere with reducing the soil pH through secretion of organic acids. Combinations of beneficial bacterial strains that interact synergistically with the dynamic substrate show a promising trend in the field of inoculation technology for attributing tolerance to sodicity and promoting growth of crops.


Salt Stress Gluconic Acid Phosphate Solubilization Trichoderma Harzianum Sodic Soil 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Central Soil Salinity Research InstituteRegional Research StationLucknowIndia

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