Open AccessIOT BASED MOLECULAR MARKERS FOR DISEASE RESISTANCE STUDIES IN RICE - STRATEGY AND CHALLENGES
Author(s) -
Yeswanth Sai Kumar Thota,
AUTHOR_ID,
Harshitha Uriti,
Sree Lakshmi Mandadapu,
Shaik Mohammed Junaid,
Byreddy Tharun Kumar Reddy,
Sai Sandeep Geddada,
Suryanarayana Veeravilli,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
international journal of advanced research
Language(s) - English
Resource type - Journals
ISSN - 2320-5407
DOI - 10.21474/ijar01/13744
Subject(s) - brown planthopper , biology , restriction fragment length polymorphism , oryza sativa , rapd , plant disease resistance , genetics , magnaporthe grisea , xanthomonas oryzae , microbiology and biotechnology , gene , polymerase chain reaction , genetic diversity , medicine , population , environmental health
Rice production is constrained by diseases of fungal, bacterial and viral origin. The Internet of Things (IoT) – network of interconnected devices - is an application for disease related uses, collection of data, processing for testing and monitoring. This review article aims about how IoT can track and allows disease resistance studies in in Oryza species. Among them Xanthomonas oryzae, Magnaporthe grisea, RYMV (Rice yellow mottle virus), and brown planthopper causes the high yield losses. Disease resistance genes are identified and they are screened by the SSR (simple sequence repeats), RAPD (Randomly Amplified Polymorphic DNA) and RFLP (restriction fragment length polymorphisms) analysis.