Identification of Alien Introgression Lines Resistant to White Backed Planthopper, Sogatella furcifera (Horvath) in Rice

Prakash Chandra Rath

Crop Protection Division, ICAR-National Rice Research Institute, Cuttack – 753006, Odisha, India.

Lotan Kumar Bose *

Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack – 753006, Odisha, India.

Nitiprasad Namdeorao Jambhulkar

Social Sciences Division, ICAR-National Rice Research Institute, Cuttack – 753006, Odisha, India.

Meera Kumari Kar

Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack – 753006, Odisha, India.

Hata Nath Subudhi

Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack – 753006, Odisha, India.

*Author to whom correspondence should be addressed.


Abstract

Introgression lines of wide cross derivatives were screened to identify resistant/tolerant entries for WBPH biotypes under artificial condition. The main objective of this study is to provide breeders with more ‘attractive’ plant genetic resources that are easier to use, i.e. resistance sources in acceptable genetic background; or inbreeding tolerant forms disomic lines for inbred or hybrid rice breeding programme. Forty six pre-breeding lines were evaluated against White Backed Plant Hopper (WBPH) under glasshouse condition over a period of two years (2019 and 2020). Out of these, seven pre-breeding lines are moderately resistant to WBPH having score 5. Three pre-breeding lines are moderately susceptible to WBPH having score 7 and rest thirty four pre-breeding lines are highly susceptible to WBPH with a score of 9.

Keywords: Pre-breeding, screening, Sogatella furcifera, resistance, rice


How to Cite

Rath, Prakash Chandra, Lotan Kumar Bose, Nitiprasad Namdeorao Jambhulkar, Meera Kumari Kar, and Hata Nath Subudhi. 2022. “Identification of Alien Introgression Lines Resistant to White Backed Planthopper, Sogatella Furcifera (Horvath) in Rice”. Journal of Experimental Agriculture International 44 (7):38-41. https://doi.org/10.9734/jeai/2022/v44i730835.

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