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Research Article Open access CC BY 4.0

Predicting the Major Organism Species in Tobacco in Cao Bang Province, Vietnam Based on the Weather Conditions

Nguyen Van Chin, Nguyen Van Van, Tao Ngoc Tuan, Phạm Hà Thành

Annual Research & Review in Biology · pp. 42–54 · Published 19 Aug 2022

10.9734/arrb/2022/v37i930531

Abstract

In recent years, some organism species are appearing popularly in the tobacco in Cao Bang province, Vietnam, and caused severe damage to the tobacco yield and quality such as budworm (Helicoverpa assulta Guene), aphid (Myzus persicea Sulzer), and powdery mildew (Erysiphe cichoracearum D.C). To manage them effectively, forecasting and controlling insect pests play an important role in tobacco cultivation. The predictive model was built base on the Skybit, Fuzzy, and Degree-days model to forecast and give suitable control methods for major insect pests in tobacco. This model is run on Excel software and calculated by an IF function for the growth of the organism. Result of the model predicted accurately the tobacco budworm, aphids, and powdery mildew damaging tobacco in Cao Bang in April 2022. Based on the results of prediction, we give proper control methods for each insect pests, preventing the quick growth and development of the organism species in the field, reducing the use of pesticides, and increasing the income of the growers. This model has also applied to forecast other pests in the tobacco in Vietnam. To increase the quality of the prediction, the model will continue to be perfected and completed in the coming years based on the practice field.

Tobacco budworm aphid powdery mildew and forecast model

References (35)

  1. 1 Herbivory in global climate change research: direct effects of rising temperature on insect herbivores [DOI]
  2. 2 The Insects: Structure and Function [DOI]
  3. 3 BRST Cohomology of the Chapline-Manton Model [DOI]
  4. 4 Degree-days: An aid in crop and pest management
  5. 5 Reconsidering Leaf Wetness Duration Determination for Plant Disease Management [DOI]
  6. 6 Suitability of relative humidity as an estimator of leaf wetness duration [DOI]
  7. 7 Temperature Impacts the Development and Survival of Common Cutworm (Spodoptera litura): Simulation and Visualization of Potential Population Growth in India under Warmer Temperatures through Life Cycle Modelling and Spatial Mapping [DOI]
  8. 8 Microclimate and the Environmental Physiology of Insects [DOI]
  9. 9 Model to Enhance Site-Specific Estimation of Leaf Wetness Duration [DOI]
  10. 10 Influence of Host Plant Structure and Microclimate on the Abundance and Behavior of a Tephritid Fly [DOI]
  11. 11 A temperature-based phenology model for predicting development, survival and population growth potential of the mealybug, Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) [DOI]
  12. 12 The effect of relative humidity on the behaviour and development of Triatoma brasiliensis [DOI]
  13. 13 Effects of relative humidity and high temperature on spore germination and development of tomato powdery mildew (Leveillula taurica) [DOI]
  14. 14 Weather-based Pest Forecasting for Efficient Crop Protection [DOI]
  15. 15 Plant age and ambient temperature: significant drivers for powdery mildew ( Erysiphe cruciferarum ) epidemics on oilseed rape ( Brassica napus ) [DOI]
  16. 16 Climate Change and Its Potential Impacts on Insect-Plant Interactions [DOI]
  17. 17 Estimation and validation of developmental thresholds and thermal requirements for cotton pink bollworm Pectinophora gossypiella [DOI]
  18. 18 Low-Level Jet Winds, Aphid Vectors, Local Weather, and Barley Yellow Dwarf Virus Outbreaks [DOI]
  19. 19 Weather based plant diseases forecasting using fuzzy logic [DOI]
  20. 20 TEMPERATURE-DEPENDENT MODEL FOR PREDICTING FIELD POPULATIONS OF GREEN PEACH APHID, MYZUS PERSICAE (HOMOPTERA: APHIDIDAE) [DOI]
  21. 21 Decision Support Systems for Plant Disease and Insect Management in Commercial Nurseries in the Midwest: A Perspective Review1 [DOI]
  22. 22 Effect of temperature and relative humidity on conidial germination of the causal agent of cucumber powdery mildew [DOI]
  23. 23 Effect of temperature and relative humidity on the population dynamics of brinjal and tomato infesting whitefly, Bemisia tabaci [DOI]
  24. 24 Principles of Plant Pathology [DOI]
  25. 25 Threshold Relative Humidity Duration Forecasts for Plant Disease Prediction [DOI]
  26. 26 The Insects: An Outline of Entomology (3rd Edition) [DOI]
  27. 27 Effect of Rainfall on Population Abundance of Aphids (Homoptera: Aphididae) on Pecan [DOI]
  28. 28 Flight activity in helicoverpa armigera
  29. 29 Active temperature selection of flying Helicoverpa armigera (Lepidoptera: Noctuidae) moths.
  30. 30 Germination of Conidia of Erysiphe Cichoracearum [DOI]
  31. 31 Estimation of leaf wetness duration using Adaptive Neuro-Fuzzy Inference Systems [DOI]
  32. 32 Heat and UV Radiation from Sunlight Exposure Inhibit Powdery Mildew
  33. 33 Effect of plant age and duration of leaf wetness on pea powdery mildew development
  34. 34 [Life-table of Helicoverpa armigera in northern China and characters of population development in southern and northern China].
  35. 35 Author Correction: Degree day-based model predicts pink bollworm phenology across geographical locations of subtropics and semi-arid tropics of India [DOI]

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