Book of Extended summaries ISDA

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad
T5-41P-1616
Predicting the Generation Index of Groundnut Bruchid, Caryedon Serratus
Olivier in India during Future Climate CHANGE scenario
T.V. Prasad *, M. Srinivasa Rao, Y. Muttapa, G. Navya and V.K. Singh
ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad-500 059, India
*tvprasad72@gmail.com
Groundnut bruchid, Caryedon serratus Olivier (Bruchidae: Coleoptera) is a primary insect pest
of groundnut in storage causing both quantitative and qualitative losses. Beetle damage not
only reduces the weight, nutritive value and affects the quality of seed and oil. Extent of damage
(weight loss) caused by bruchid in shelled and unshelled groundnut is about 70 and 80 per cent,
respectively (Sreedhar et al., 2020). To develop any pest management programme for a specific
agro-ecosystem, information on abundance and distribution of pest in relation to weather
parameters is a basic requirement. The ability of an insect to develop at different temperatures
is an important adaptation to survive in various climatic conditions, and its understanding is
important for predicting pest outbreaks. The pest forecasting models facilitate better
preparedness to combat outbreaks of serious insect pests by developing effective pest
management strategies well in advance. The Insect Life Cycle Modelling (ILCYM) software
(version 3.0) developed by the International Potato Centre, (Tonnang et al., 2013) has been
used to predict climatically suitable areas for distribution, abundance and damage activity, and
to examine the impact of climate change on future pest status of insects of economically
important crops. With this background we aimed to study the generation index of C. serratus,
to predict its number of generations per year in different agroecological regions of India due to
future changes temperature conditions and further simulation data generated from ILCYM
software were adopted for development of future pest risk maps using ArcGIS environment.
Methodology
Experiments on life tables were conducted at six constant temperatures (15, 20, 25, 27, 30 and
35 o C) and on fluctuating temperature environment inside the growth chambers and the data
obtained from these experiments was used to develop temperature-dependent phenology model
for C. serratus. Third module of ILCYM “potential population analysis and mapping” was
used for developing pest risk maps. Using simulated life table parameters and climatic data
(temperature), we projected generation index (GI) of C. serratus for present and future time
period (year 2050). The generated ASCII files of GI from ILCYM for present and future
predictions were imported in to ArcGIS and converted into a polygon-based classified georeferenced
data set under different risk levels of C. serratus in India. The GI (value ranges from
1 to 3.45) used for identification of the region where insect pest having number of generations
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