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Collection of real time pest dynamics and analysis and mapping of pest/pathogen shifts

A study on mango pests is being undertaken to develop strategies for pest forewarning and   minimization of pest incidence in mango under changing weather scenario through better understanding of host-pest-climate interaction. Data on real time pest dynamics (RTPD) was recorded at weekly interval from 120 mango orchards in six different mango growing locations, viz., Ranchi in Jharkhand, Lucknow in Uttar Pradesh, Vengurla in Maharastra, Paria in Gujarat, Sangareddy in Andhra Pradesh and Bengaluru in Karnataka. Correlations between pest incidence based on RTPD and weather parameters were worked out and found to vary with locations. Based on RTPD data, pyralid fruit borer, Citripestis eutraphera (Meyrick) was recorded for the first time in Valsad region of Gujarat on immature mango fruits. Earlier this pest was first recorded in mainland from surveyed data of rural Bengaluru and parts of Karnataka during April-June, 2013. Mango root mealybug, Formicococcus mangiferacola Williams was noticed to cause wilting and drying in young mango plants of 3-4 years age from surveyed area in Bengaluru district of Karnataka. Drought like situation during September to December 2015 (only 14 mm rainfall) in Lucknow district of U.P. was highly favorable for buildup of mango hopper population in succeeding period. Also, higher incidence of powdery mildew was recorded during year 2015 over previous years.


Change in number of generations per year of B. Zonata in India,
based on generation index (GI) for current and future climatic (2050) conditions

 

A temperature-based phenology model was developed for Bactrocera zonata (Diptera: Tephritidae), a potential pest of mango, by constructing thermal reaction norms for cohorts of single life stages, at both constant and fluctuating temperatures within the ecologically relevant range (15-35°C) for its development. Life table parameters were estimated stochastically using cohort updating and rate summation approach. The model was implemented in the Arc GIS to examine the potential future pest status of B. zonata using temperature change projections from SRES A1B climate change scenario for the year 2050. Number of generations of the insect and consequently extent of damage are projected to increase significantly in the future.

   
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