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http://krishi.icar.gov.in/jspui/handle/123456789/17557
Title: | Weather based forecasting models for prediction of leafhopper population Idioscopus nitidulus Walker; (Hemiptera: Cicadellidae) in mango orchard |
Other Titles: | Rakshitha Mouly, T. N. Shivananda and Abraham Verghese |
Authors: | Not Available |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR-Indian Institute of Horticultural Research |
Published/ Complete Date: | 2017-03-15 |
Project Code: | Inspire Fellow |
Keywords: | Mango, leafhopper, Idioscopus nitidulus, prediction, weather |
Publisher: | Akinik Publications |
Citation: | Nil |
Series/Report no.: | Not Available; |
Abstract/Description: | Predicting the population of Idioscopus nitidulus well in advance can lead to the successful IPM program where a timely intervention and proper management of pest can be scheduled. The present study aimed at determining the effect of abiotic variables on population buildup of leafhoppers in an organic mango orchard to develop weather forecast models for hoppers. Correlation matrix between I. nitidulus and weather parameters was worked out, followed by regression to obtain a comprehensive weather forecast model for the pest. Significant (p= 0.05) correlations were observed in trends of hopper population and between maximum temperature (positive) and relative humidity-I (negative). The simple linear regression explained the highest variability R2= 0.77 and R2= 0.42 with maximum temperature and relative humidity-I respectively. Multiple regression analysis with both maximum temperature and relative humidity-I as independent variables could explain the variability up to 70%. Thus, simple linear regression model derived for maximum temperature had the strongest relationship for the population build-up of hoppers. The best single predictor, maximum temperature is proposed as a reasonable precision indicator suitable for forecasting the changes in population of hoppers that can be used in management decisions. |
Description: | This is very useful publication for developing prediction models for leaf hoppers in various fruit crops |
ISSN: | 2349-6800 (print); 2320-7078 (web) |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Entomology and Zoology Studies |
Volume No.: | 5(1) |
Page Number: | 163-168. |
Name of the Division/Regional Station: | Division of Soil Science and Agricultural Chemistry |
Source, DOI or any other URL: | http://www.entomoljournal.com/archives/2017/vol5issue1/PartC/4-6-83-477.pdf |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/17557 |
Appears in Collections: | HS-IIHR-Publication |
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