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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 7, Issue 5 (2018)

Prediction of grain yield of rice using simulation model in Chhattisgarh plains

Author(s):

Krishna Murari, Dr. GK Das, Shri JL Chaudhary and Dr. HV Puranik

Abstract:
Rice production in the Chhattisgarh is influenced by heat stress due to late sowing for optimization of yield, sowing at the appropriate time to fit the cultivar maturity length. The DSSAT model was used to determine to assess the production potential for Raipur districts under three Rice varieties (Swarna, Mahamaya and MTU-1010) and three dates of sowing D1(01June2016), D2 (15June2016) and D3 (30 June2016). Evaluation with simulated data of three dates of sowing at Raipur districts of Chhattisgarh. It was found that shows higher grain yield Swarna (51.6-57.8 qha-1) followed by Mahamaya (39.1-47.9 qha-1) and MTU-1010 has shows lowest grain yield (35.6-41.7 qha-1) under all three dates of sowing and D2 (45.1-49.6) more suitable period for Raipur due favorable weather condition. In other D1 shows higher grain yield followed by D3. Therefore, D2 was observed the optimum production potential yield for Swarna variety for Raipur districts of Chhattisgarh state under normal condition. Further model evaluation might also be needed for other cultivars which are released for this region.

Pages: 2314-2317  |  818 Views  212 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
Krishna Murari, Dr. GK Das, Shri JL Chaudhary and Dr. HV Puranik. Prediction of grain yield of rice using simulation model in Chhattisgarh plains. J Pharmacogn Phytochem 2018;7(5):2314-2317.

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