Potato late blight disease prediction using meteorological parameters in Northern Himalayas of India

Abstract

Weather parameters play an important role in the spread of potato late blight of caused by Phytophthora infestans (Mont.) de Bary has historically been serious disease of potatoes through worldwide, including India. Due to spatial variation in prevailing weather conditions, its severity varies from region to region. Disease development process and the weather parameters are well understood and have been utilized for disease developing forecasting models and decision support system. Therefore, an experiment was conducted for two consecutive cropping seasons (2017 & 2018) to develop a forecasting model against late blight of potato using stepwise regression analysis for Northern Himalayas in India. Maximum and minimum temperature, relative humidity, rainfall and wind speed appeared to be most significant factors in the potato late blight disease development. The meteorological conditions conducive for the development of potato late blight disease were characterized. Maximum and minimum temperatures in the range of 15.0 – 28.0°C and 2.0 – 12.0°C were found favorable for potato blight disease. Similarly, relative humidity, rainfall and wind speed in the range of 85 - 95 per cent, 15.5 - 20.75 mm and 1.0 - 5.5 Km h-1, respectively, were conducive for potato late blight disease which are helpful in disease development.

Predicting Daily Aerobiological Risk Level of Potato Late Blight Using C5.0 and Random Forest Algorithms under Field Conditions

“…The results agree with previous studies that showed changing dynamics of the P. infestans inoculum concentration during the potato growing season [9,10,14,28,34]. However, these studies focused on the prediction of late blight risk solely based on weather factors, while assuming the constant presence of inoculum [55][56][57]. Although the infection of potato plants with P. infestans is highly dependent on weather conditions, late blight epidemics cannot be explained exclusively by weather data [7,54].…”

Forecasting models for forewarning Anthracnose and web blight of mung bean (Vigna radiata) under Tarai zone of Uttarakhand

“…The result revealed that the soil moisture at 69 -72% of field capacity, T (min) of 25 -27ºC, T (max) of 33 -36ºC, average soil temperature of 28 -30ºC, RH (min) of 60 -72 and RH (max) of 83 -89 per cent inside the boroj are highly congenial for collar rot disease incidence (Garain et al, 2021). Dar et al, (2021) conducted and experiment in Northern Himalayas (India) for two consecutive cropping seasons (2017 and 2018) to develop a forecasting model against late blight of potato using stepwise regression analysis. T (max) and T (min) in the range of 15.0 -28.0°C and 2.0 -12.0°C were found favourable for potato blight disease.…”

Influence of weather parameters on development of leaf roll disease in potato (Solanum tuberosum L.)

“…Chung et al (2017) reported that increased PLRV RNA accumulation and higher numbers of PLRV-infected S. tuberosum L. plants under conditions of high temperature (30±2 °C) which was corroborated with results of this experiment as maximum temperature, bright sunshine hours and evaporation was positively correlated with PLRV incidence. Dar et al (2021) had reported that the maximum and minimum temperature, relative humidity, rainfall and wind speed appeared to be most significant factors in the potato late blight disease development. Kumar and Gupta (2016) reported that the maximum and minimum temperatures had positive correlations with whitefly population causing potato apical leaf curl virus disease while RH2 had negative correlation.…”