|
|||||
|
|
A review on crop losses, epidemiology and disease management of rice brown spot to identify research priorities and knowledge gaps |
|
| Authors: | M K Barnwal A Kotasthane N Magculia P K Mukherjee S Savary A K Sharma H B Singh U S Singh A H Sparks M Variar N Zaidi |
| Institution: | 1. Department of Plant Pathology, Birsa Agricultural University, Kanke, Ranchi, 834006, Jharkhand, India 2. Department of Plant Molecular Biology and Biotechnology, College of Agriculture, IGKV, Raipur, India 3. IRRI, Plant Breeding, Genetics and Biotechnology, Epidemiology and Crop Health Unit, DAPO, Box 7777, Los Ba?os, Philippines 4. Laboratory of Plant Pathology, Graduate School of Agricultural Science, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657-8501, Japan 5. NA & BTD, B.A.R.C, Trombay, Mumbai, 400085, India 6. Central Institute for Cotton Research, Shankarnagar, Nagpur, India 7. INRA Centre de Recherche de Toulouse, UMR 1248 AGIR, Auzeville, BP 52627, 31326, Castanet-Tolosan Cedex, France 8. G.B. Pant University of Agriculture & Technology, Pantnagar, India 9. Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, India 10. IRRI Office, Delhi, NASC, Pusa, New Delhi, 110012, India 11. Central Rainfed Upland Rice Research Station, P.O. Box 48, Hazaribag, 825301, Jharkhand, India |
| Abstract: | Rice brown spot (BS) is a chronic disease that affects millions of hectares of rice every growing season, grown by some of the most resource-poor farmers. Despite its widespread occurrence and impact, much still needs to be understood about BS. Reported yield losses in relative terms vary widely from 4 to 52 %. However, accurate, systematic estimates are lacking. BS is conventionally perceived as a secondary problem that reflects rice crops that experience physiological stresses, e.g. drought and poor soil fertility, rather than a true infectious disease. Much remains to be understood about the mechanisms leading to epidemics and crop losses. Quantitative and qualitative knowledge gaps exist in our understanding of the epidemiological processes, sources of resistance and biocontrol methods. In this review we identify several of these gaps, which if filled, could lead to a strong impact on the management of brown spot. We also use the architecture of a simulation model to position and prioritize these knowledge gaps, assess the epidemiological consequences of disease management options on BS monocyclic processes and explore the impact changing production situations on this important disease. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |