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http://krishi.icar.gov.in/jspui/handle/123456789/7582| Title: | Weather-based epidemiological models for Sclerotinia rot of oilseed Brassicas for Rajasthan |
| Other Titles: | Not Available |
| Authors: | M.S. YADAV1*, AMRENDER KUMAR2, S. GODIKA3, N. AHMAD1, N. MEHTA1, D.K. YADAVA4 AND C. CHATTOPADHYAY5 |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | 1ICAR-National Research Centre for Integrated Pest Management, New Delhi 2Agricultural Knowledge Management Unit and 4Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi 110 012, India 3Department of Plant Pathology, Sri Karan Narendra Agriculture University, Jobner 303 329, Rajasthan, India 5Uttar Banga Krishi Viswa Vidyalaya, Pundibati, Kooch Bihar-736165, West Bengaltter |
| Published/ Complete Date: | 2016-01-01 |
| Project Code: | Not Available |
| Keywords: | Brassicas, Sclerotinia sclerotiorum, rots, epidemiological models, |
| Publisher: | Indian Phytopathological Society, Division of Plant Pathology, ICAR-IARI, New Delhi |
| Citation: | Indian Phytopath. 69 (4s) : 230-232 (2016) |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Sclerotinia rot [Sclerotinia sclerotiorum (Lib.) de Bary] of oilseed Brassicas is an emerging problem in Rajasthan. Quantitative models were developed for prediction of Sclerotinia rot on Brassicas. Historical data from 2004-05 to 2014-15 on per cent Sclerotinia rot and weekly weather variables of SKRAU, Agricultural Research Stations in Alwar and Sriganaganagar, Rajasthan were considered for model fitting. Weather-based indices were generated which were used as explanatory variables. Different weather variables viz., minimum and maximum temperatures and afternoon relative humidity were identified as critical factors which significantly affected the development of Sclerotinia rot of oilseed Brassicas. The coefficient of determination (R2) were maximum 0.93 and 0.88 at Sriganganagar and Alwar, respectively. Prediction-based management advisory to farmers could be issued with information for timely application interventions of pesticides to manage Sclerotinia rot. |
| Description: | In this model weighted index of interaction of maximum temperature and afternoon relative humidity was found important. Overall prediction for Sriganganagar can be provided at 52nd SMW using data of maximum temperature and afternoon relative humidity. Reliable quantitative prediction for per cent Sclerotinia rot at Navgaon, Alwar can be obtained at 3rd SMW using data on minimum temperature. |
| ISSN: | 0367-973X (Print) 2248-9800 (Online) |
| Type(s) of content: | Research Paper |
| Sponsors: | ICAR-NCIPM, New Delhi |
| Language: | English |
| Name of Journal: | Indian Phytopathology |
| NAAS Rating: | 5.95 |
| Volume No.: | 69 (4s) |
| Page Number: | 230-232 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/7582 |
| Appears in Collections: | CS-NCIPM-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IPS Research Paper.pdf | 523.34 kB | Adobe PDF | View/Open |
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