Abstract
Spot blotch of wheat caused by Bipolaris sorokiniana appears at all growth stages, though susceptibility increases with increase in plant age. Every year disease causes high yield losses even up to 60% depending on the wheat variety and weather factors. The cultivation of wheat in North Eastern Plains Zone (NEPZ) of India is increasing, but the crop yield is low due to warm and humid climate which increase diseases like spot blotch. Considering significant impact of the spot blotch on crop yield, an experiment was conducted during rabi seasons of 2015–2016 and 2016–2017 to evaluate the effect of different abiotic factors on spread of the disease, as well as development of a predictive model to predict the disease severity in a set of 12 wheat varieties. Statistical analysis proved that all the thermic variables like temperature (maximum and minimum) and soil temperature are significantly correlated with diseases initiation across growth stages of the crop. Step-wise regression showed high R2 values like, 0.99, 0.97, 0.96, 0.96, 0.98, 0.96, 0.99, 0.98, 0.96, 0.98, 0.98, 0.98 for the predicative model of spot blotch in PBW 343, HD 2733, PBW154, Raj4015, KALYAN SONA, SONALIKA, LERMA RAJO, DBW39, UP301, HD2009, NP114, NP718 respectively.
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