Figure 1

Correlation analyses between DRR disease incidence and weather parameters. Correlation analyses was performed using publicly available DRR disease incidence data to study the relation between DRR disease incidence and weather components; rainfall and temperature. DRR disease incidence data was gathered from published research articles and theses (Supplementary file S1, Supplementary Table S1). Weather data for the respective locations were acquired from Indian Meteorological Department. Weather data for the field trial season mentioned in the source was acquired, and the monthly average for the months from October to February for maximum and minimum temperature was calculated. Total monthly rainfall and total rainfall for the two and three consecutive months were also calculated. A correlation was performed using Pearson’s correlation method for all the possible weather factors and DRR Disease incidence (a). Correlation analyses was performed for complete DRR data set, and data set for the A1 genotype, JG11 genotype, red soil type and black soil type. Red boxes represents significant positive correlation, and blue boxes represent significant negative correlation, empty boxes represent no significant correlation. Correlation with p < 0.05 was taken as statistically significant. A negative correlation exists between DRR disease incidence and rainfall, while a positive correlation exists between disease incidence and minimum and maximum temperature. RainF = rainfall, MinT = minimum temperature, MaxT = Maximum temperature, DRR DI = DRR disease incidence, Oct = October, Nov = November, Dec = December, Jan = January, Feb = February, Mar = March.