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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/52502
Title: | Influence of weather parameters on powdery mildew of mango inflorescence in humid tropics of South Gujarat |
Other Titles: | Not Available |
Authors: | J K Bana Jaipal S. Choudhary P.D. Ghoghari Hemant Sharma Sushil Kumar Sagar J. Patil |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Research Complex for Eastern Region |
Published/ Complete Date: | 2020-12-01 |
Project Code: | Not Available |
Keywords: | Climate weather powdery mildew |
Publisher: | Not Available |
Citation: | J. K. Bana, Jaipal S. Choudhary, P.D. Ghoghari, Hemant Sharma, Sushil Kumar and Sagar J. Patil, (2020). Influence of weather parameters on powdery mildew of mango inflorescence in humid tropics of South Gujarat. Journal of Agrometeorology, 22 (4): 488-493. |
Series/Report no.: | Not Available; |
Abstract/Description: | The influence of environmental parameters on the development of powdery mildew caused by Oidium mangiferae Berthet on mango inflorescence was studied for seven consecutive years (2012-18) in humid tropics climatic conditions of South Gujarat. The disease incidence and severity (DIS), area under disease progress curve-AUDPC (A-value) and apparent infection rate (r-value) were recorded at panicle and fruit setting stages of the tree at weekly intervals. The correlation studies showed that incidence and severity of powdery mildew significantly negative relationship with morning relative humidity (r = -0.631; p<0.05 and r = -0.721; p<0.01) and average relative humidity (r = -0.766 and r = -0.787; p<0.01). Temperature (maximum and average) and evaporation showed positive relationship with incidence and severity of powdery mildew. Further, stepwise linear regression model indicated that average relative humidity as single predictor independent variable had the strongest relationship disease incidence and severity, which explained 59 percent disease incidence and 62 percent for disease severity variability. This forewarning model can be useful for efficient management of powdery mildew disease of mango and as well as agro advisory services to farmers. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Review Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Agrometeorology |
NAAS Rating: | 6.47 |
Impact Factor: | 0.47 |
Volume No.: | 22 (4) |
Page Number: | 488-493 |
Name of the Division/Regional Station: | FSRCHPR, Ranchi |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/52502 |
Appears in Collections: | NRM-RCER-Publication |
Files in This Item:
File | Description | Size | Format | |
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Agrometeorology 2020 PM on mango.pdf | 555.51 kB | Adobe PDF | View/Open |
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