A REVIEW ON VARIOUS MANAGEMENT METHOD OF RICE BLAST DISEASE
Journal: Malaysian Journal of Sustainable Agriculture (MJSA)
Author: Swodesh Rijal, Yuvraj Devkota
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Rice (Oryza sativa) is native to Asia and grown worldwide. Rice feeds more than 50 % of the world population Rice is predominant staple food for 17 countries in Asia and provides 20 % of world’s dietary energy supply. So, among cereal it considered as most significant crop. Both biotic and a-biotic factors adversely affect crop and yield. Among them, 70 to 80 % of annual rice yield is lost due to blast disease. Higher statical data of blast disease is threat to growing population on food security. The objective of this review is to know the different methods of controlling blast diseases. Management of blast can be done through various methods but eco-friendly, integration of various cultural, Nutrient, chemical biological and botanical is best. Recent Research has been made in biological, botanical, Resistance development and Nutritional management but development of variety and Biological are best option. Isoprothiolane at 1.5 ml/l and Tricyclazole 22 % + Hexaconazole 3% SC (thrice from booting stage at weekly interval) are best chemical whereas Pseudomonas fluorescens strain Pf1 @ 10g/kg, SPM5C-1 and SPM5C-2 (aliphatic compounds obtained from Streptomyces sp), Bacillus tequilensis (GYLH001) and pseudomonad EA105 effectively inhibit the growth of M. oryzae. more than 100 R gene are identified as Resistance in Blast. Gene Pyramiding and use of multilines varieties is efficient and able to overcome pesticide hazards. Neem extract 4ml/15ml, Coffee arabica@25%, Nicotiana tabacum@10% are effective but garlic extract @higher doses and neem extract @ 4ml/15 ml are best for complete control. 4 g Si/L in green house condition observed greatest reduction of blast incidence. Several forecasting model predicts probable disease outbreak and reduces crop losses. Similarly, burning of residues and flooding make unfavorable condition to pathogen.