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January 24, 20260 citationsOpen Access

Incidence and Severity of Ostrinia Furnacalis Infestation in Sweet Corn Production Areas

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MWMade Raka Saputra WidiantaraUdayana University

Key Points

  • This research aims to assess the incidence and severity of Ostrinia furnacalis infestation in sweet corn areas and analyze environmental factors affecting its population.
  • Conducted field observations in sweet corn production areas around Denpasar City, Bali.
  • Measured the percentage of stem borer attacks and identified natural enemy populations.
  • Evaluated the correlation between environmental conditions (temperature and humidity) and pest populations using regression analysis.
  • The incidence of stem borer attacks ranged from 5% to 28%.
  • Natural enemies' population ranged from 4.13 to 6.26 individuals.
  • There is a strong positive correlation between temperature and stem borer populations (r = 0.87).
  • Humidity has a very significant effect on stem borer populations (r = 0.94).
  • Temperature also positively correlates with the population of natural enemies (r = 0.853).

Abstract

Sweet corn (Z. mays saccharata) is widely cultivated around Denpasar City, Bali as a food and vegetable, but the main obstacle to sweet corn cultivation is the attack of stem borers (O. furnacalis). The results of the study showed that the percentage of corn stem borer attacks ranged from 5% to 28%. The number of natural enemies showed 4.13 to 6.26 individuals. The dynamics of the corn stem borer pest population showed a range from 0.09 to 0.23. The relationship between temperature and the population of corn stem borer pests is significantly positive with a correlation coefficient of r = 0.87 (R2 = 0.73), with the regression equation Y1 = 24.097 + 0.190X1 (Y1 = population of stem borers and X1 = temperature). The relationship between stem borers and humidity has a very significant effect with a coefficient (r) = 0.94 (R2 = 0.89), with the regression equation Y1 = -182.815 + 2.729 X2 (X2 = humidity). The relationship between temperature and the population of natural enemies has a significant positive effect with a coefficient of r = 0.853 (R2 = 0.73) with the regression equation Y2 = 21.37 + 0.9367X1 (Y2 = population of natural enemies).

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Made Raka Saputra Widiantara (2026) studied this question.

synapsesocial.com/papers/6974610cbb9d90c67120ae9bhttps://doi.org/10.5281/zenodo.18336686
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