IOT BASED MOLECULAR MARKERS FOR DISEASE RESISTANCE STUDIES IN RICE - STRATEGY AND CHALLENGES
Yeswanth Sai Kumar Thota
, Harshitha Uriti
, Sree Lakshmi Mandadapu
, Shaik Mohammed Junaid
, Byreddy Tharun Kumar Reddy
, Sai Sandeep Geddada
and Suryanarayana Veeravilli
- Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
- Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
- Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
- Department of Humanities and Basic Sciences, Aditya Engineering College, Surampalem, Andhra Pradesh, India.
- Abstract
- Keywords
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- Corresponding Author
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.
[Yeswanth Sai Kumar Thota, Harshitha Uriti, Sree Lakshmi Mandadapu, Shaik Mohammed Junaid, Byreddy Tharun Kumar Reddy, Sai Sandeep Geddada and Suryanarayana Veeravilli (2021); IOT BASED MOLECULAR MARKERS FOR DISEASE RESISTANCE STUDIES IN RICE - STRATEGY AND CHALLENGES Int. J. of Adv. Res. 9 (Nov). 319-322] (ISSN 2320-5407). www.journalijar.com
Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
