GIS based pest-weather model to predict the incidence of Girdle beetle (Oberiopsis brevis) in Soybean crop

Ram Manohar Patel Ram Manohar Patel,A N Sharma A N Sharma,Purushottam Sharma Purushottam Sharma

doi:10.54386/jam.v23i2.65

Ram Manohar Patel Ram Manohar Patel, A N Sharma A N Sharma + Show 1 more

Open Access

https://doi.org/10.54386/jam.v23i2.65

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Abstract

 Girdle beetle (Oberiopsis brevis) is an important insect of soybean that can cause up to 42.2% yield loss in severe infestation during flowering stage. The infestation of girdle beetle is prevailed by congenial environmental conditions, which leads girdle beetle to be the severe pest of soybean. The present study assesses the relevant weather variables that can cause the peak infestation. Crop Pest Surveillance and Advisory Project (CROPSAP) survey data of girdle beetle incidence were analyzed with weather variables using correlation and regression techniques. The girdle beetle infestation had significantly positive correlation with relative humidity of current and 2nd lag week (RH0, RH-2); and with rainfall of 2nd lag week (RF-2) but significantly negative correlation with maximum temperature of 1st lag week (TMax-1). The multiple regression technique was used to develop the forewarning models for three zones (Vidarbha, Madhya Maharashtra and Marathwada zones) and overall Maharashtra, the developed models could explain 80.30%, 94.62%, 73.56% and 79.56% variation in girdle beetle infestation, respectively. The congenial conditions for the peak infestation of girdle beetle on soybean have been worked out and validated, which were TMax0, RH0, RF0, RH-1, RF-1, TMax-2, and RF-2 ranged between 28.6-31.6 ºC, 85.2- 91.8 %, 31.8-119.2 mm, 86.3-92.6 %, 38.1-76.4 mm, 27.7-30.8ºC, and 23.3-60.7 mm, respectively. The insect forewarning would be useful in devising the integrated management strategies for protecting the crop from insect in the incidence region.

Highlights

Soybean [Glycine max (L.) Merrill] occupied the prominent place in edible oil economy, accounting for about 40 per cent of total oilseeds production in India and contributing to nearly 25 per cent of domestic vegetable oil production in the country (Sharma, 2016)
On the perusal of data on girdle beetle incidence on soybean, it has been found that the peak infestation in different districts were mainly during 36-37th standard meteorological week (SMW)
The models were formulated by using the peak incidence week value (Ghosh et al, 2014) of five year mean of different districts to work out the relationship and effect of weather on girdle beetle infestation for Maharashtra

Summary

Introduction

Soybean [Glycine max (L.) Merrill] occupied the prominent place in edible oil economy, accounting for about 40 per cent of total oilseeds production in India and contributing to nearly 25 per cent of domestic vegetable oil production in the country (Sharma, 2016). It is being cultivated from about 15oN to 25oN (Bhatia et al, 2008) in India and 50oN to 35oS latitudinally worldwide (Gupta et al, 2017; Watanabe et al, 2012). The change of weather variables significantly affecting the agriculture productivity in many aspects, one among them is changing the insect-pest biology (Shamim et al, 2009; Dhaliwal et al, 2004) which affect the dynamics, distribution and infestation period

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