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Population dynamics of soybean girdle beetle (Obereopsis brevis Swedenbord) in soybean crop

International Journal of Advanced Biochemistry Research · 2026 · Vol. 10(7) · pp. 434–436

Abstract

Soybean (Glycine max L. Merrill) is one of the world's most important oilseed and protein-rich leguminous crops, contributing significantly to food security and agricultural sustainability. However, its productivity is severely constrained by the soybean girdle beetle (Obereopsis brevis Swedenbord), whose incidence is strongly influenced by prevailing weather conditions. The present investigation was conducted during the kharif seasons of 2024 and 2025 at the Research Farm, School of Agriculture Science, Bhopal, Madhya Pradesh, to study the seasonal population dynamics of the girdle beetle in relation to meteorological parameters. Weekly observations on pest infestation were recorded from Standard Meteorological Week (SMW) 33 to SMW 42 by estimating the percentage of girdled plants in soybean variety JS 20-116. Weather data, including maximum and minimum temperature, relative humidity, and rainfall, were obtained from ICAR-CIAE, Bhopal. In both years, girdle beetle infestation commenced during SMW 33 with 3.41% (2024) and 3.63% (2025) plant damage and increased progressively, reaching peak infestations of 44.44% and 45.49%, respectively, during SMW 42. Correlation analysis revealed that in 2024, maximum temperature showed a highly significant positive association with pest incidence (r = 0.803), whereas average relative humidity (r = -0.904) and rainfall (r = -0.667) exhibited significant negative correlations. During 2025, minimum temperature (r = -0.850), relative humidity (r = -0.846), and rainfall (r = -0.821) were negatively and significantly correlated with girdle beetle infestation, while maximum temperature showed a weak, non-significant positive relationship (r = 0.168). The findings demonstrate that warm and comparatively dry environmental conditions favor the development and multiplication of O. brevis Swedenbord, whereas higher humidity and rainfall suppress its population. These results provide valuable information for forecasting girdle beetle outbreaks and developing weather-based integrated pest management strategies to improve sustainable soybean production under changing climatic conditions.

Full Text

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Introduction

Soybean (Glycine max L. Merrill), a member of the family Fabaceae, is one of the world's oldest and most economically significant leguminous crops. Widely recognized as the "golden bean" or "miracle crop," it serves as the foremost global source of vegetable oil and plant-based protein, thereby making an indispensable contribution to food, nutritional, and economic security. In India, soybean has emerged as a commercially important oilseed crop owing to its remarkable adaptability, high productivity, and multifaceted industrial applications. It ranks among the country's leading oilseed crops after groundnut and mustard and constitutes a vital component of the agricultural economy. Nutritionally, soybean is exceptionally rich, containing nearly 40% high-quality protein and approximately 20% oil, along with essential amino acids, vitamins, minerals, and carbohydrates. Furthermore, its ability to fix atmospheric nitrogen through symbiotic association with Rhizobium enhances soil fertility, reduces dependence on chemical fertilizers, and promotes sustainable agricultural production (Swathi et al., 2020; Dugje et al., 2009) [1,2] . Globally, soybean production is dominated by Brazil, which contributes approximately 169 million metric tonnes, accounting for nearly 40% of the world's total production. The United States occupies the second position with about 118.84 million metric tonnes (28%), followed by Argentina with 50.9 million metric tonnes (12% Therefore, the present investigation was undertaken to evaluate the extent of damage caused by major insect pests in relation to prevailing weather parameters, with the objective of generating scientific insights that support predictive pest forecasting and environmentally sustainable crop protection under changing climatic conditions (Swathi et al., 2020) [1] .

Materials and Methods

The 1). The highest infestation coincided with elevated daytime temperatures, negligible rainfall, and comparatively dry atmospheric conditions, indicating that warm and moisture-deficient environments substantially enhanced pest proliferation. Correlation analysis for 2024 further substantiated the influence of climatic variables on girdle beetle incidence. Maximum temperature exhibited a strong and highly significant positive correlation with stem girdler damage (r = 0.803), suggesting that elevated daytime temperatures promoted pest development and feeding activity. Conversely, minimum temperature showed a weak and non-significant positive relationship (r = 0.054 NS), indicating its limited contribution to pest population dynamics. Average relative humidity demonstrated a highly significant negative correlation (r = -0.904), while rainfall also exhibited a significant negative association (r = -0.667), confirming that humid and rainy conditions suppressed pest incidence, either by directly affecting insect survival or by enhancing the activity of natural enemies and entomopathogens ( 2). The correlation analysis for 2025 revealed a slightly different response of the pest to individual weather parameters. Maximum temperature exhibited a weak and non-significant positive correlation (r = 0.168 NS), indicating that daytime temperature alone was not a decisive determinant of pest abundance during this season. In contrast, minimum temperature showed a strong and highly significant negative correlation (r = -0.850), suggesting that lower night temperatures favored girdle beetle activity (Table 3.0). Similarly, average relative humidity (r = -0.846) and rainfall (r = -0.821) displayed highly significant negative correlations with pest incidence, reaffirming that increased atmospheric moisture and precipitation effectively suppressed population build-up. Similarly, Kumawat et al., (2010) [4] reported girdle beetle infestation initiation in 32 nd SM. and Kumar et al., (2020) [3] also reported girdle beetle infestation start in the 32 nd SMW. Similarly Panwar et al., (2021) [5] also reported infestation of girdle beetle was started in 31 st SMW, thereafter the increasing trend of infestation of the girdle beetle was observed and it continued up to 38 th SMW. The maximum infestation of plants due to girdle beetle was observed during 39 th SMW. Panwar et al., (2021) [5] reported that maximum temperature had exhibited a positive correlation with infestation of girdle beetle.

References

  1. Swathi Y, Naik PJ, Reddy TP, Naaiik RB, Venkataiah M. Effect of weather parameters on seasonal incidence of insect pests of soybean in different staggered sowings. Multilogic in Science. 2020;10(35):13431345.
  2. Dugje IY, Omoigui LO, Ekeleme F, Bandyopadhyay R, Lava Kumar P, Kamara AY. Farmers' Guide to Soybean Production in Northern Nigeria. Ibadan, Nigeria: International Institute of Tropical Agriculture; 2009. p. 21.
  3. Kumar A, Patel A, Tiwari RK, Pandey AK, Singh S. Population dynamics of girdle beetle, Obereopsis brevis Swed. in soybean. 2020;2017:18.
  4. Kumawat MM, Kumar A, Bunker GK. Screening of soybean cultivars against girdle beetle. Annals of Plant Protection Sciences. 2010;18(1):246-247.
  5. Panwar A, Nayak MK, Tomar DS. Population dynamics of major insect pests of soybean and their correlation with abiotic factors in Bundelkhand agroclimatic zone of M.P. Journal of Entomology and Zoology Studies. 2021;9(1):1824-1827.
Insect-Plant Interactions and ControlAgricultural pest management studiesHemiptera Insect Studiesrainfallrelative humiditysoybeanintegrated pest managementtemperaturepopulation dynamicsmeteorological parameters
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field-weighted impact
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53%
vs. same field & year
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