In the twenty-first century, the major challenge in modern agriculture is to increase nutrient use efficiency, with a particular focus on nitrogen in fields of cereals. As soil test based nutrient recommendation is long process and to overcome this site specific nutrient management plays a major role in nutrient dosage decision making. Keeping this in view, a field experiment was carried out in 2017 at the farmer’s field in Chella Kamarpada village of Chella G.P., Chella Mouza in Illambazar Block of Birbhum, West Bengal. The experiment consisted of two levels of varieties and six levels of nutrient management, which were replicated thrice and laid out in factorial randomized block design (FRBD). Among the two high-yielding types, Rajendra masuri proved significantly superior over Pratiksha concerning grain and straw yield, N, P, and K uptake by grain and straw and net return, which may be the combined effect of better growth potential. Different schedules of fertilizer application of nutrients based on recommendations from the decision support system like “Nutrient expert” and LCC-based application proved superior over farmer’s practice and blanket application and was statistically at par with the state recommendation on growth, productivity, and economics of rice crop.

LCC, Nutrient Expert, Nutrient management, Rice, Yield

Cultivation of Rajendra masuri variety along with application of fertilizers on the basis of Nutrient expert based recommendation with N split according to LCC may be more productive and profitable for the Red and lateritic soil of West Bengal specially in Birbhum.

Avinash B., Mahua Banerjee, Sarath Kumar Duvvada, Sujay Kumar Paul and Ganesh Chandra Malik (2023). Response of Rice (Oryza sativa L.) varieties to Nutrient Management in kharif Season under Lateritic Soil of West Bengal. Biological Forum – An International Journal, 15(8): 326-333.