Integrated nutrient management for okra in an inceptisol of eastern India and yield modeling through artificial neural network

摘要: Abstract Present investigation has been conducted to assess the efficiency of few selected and simulated options integrated nutrient management plant growth regulator in improving okra increasing yield (Abelmoschus esculentus L. Moench) an inceptisol at Gayeshpur, West Bengal, India (23° N 89° E 9.75 m above MSL). The experimental soils were neutral, non-saline, sandy loam, low organic carbon, available N, DTPA extractable micronutrients, moderate P medium K contents. experiment was laid out asymmetric factorial design with seven different treatments (INM) two levels gibberellic acid (GA). Okra yield, macro micronutrients uptake by pod, status post-harvest soil observed increase significantly when chemical N supplemented manures and/or bacterial fertilizers along application GA. Application 75% NP + total through Azospirillum, PSB, VAM FYM restored highest availability pod accumulation. Highest best economic return could be achieved PSB used supplement P + total K. models, developed artificial neural network (ANN), clearly indicated manifest role P, Zn, Fe Mn productivity under interventions (PSB VAM).