Vol. 6, Issue 4 (2018)
Comparison of DSSAT and InfoCrop simulation model for rice production under irrigated and rainfed conditions
Author(s): Surbhi Jain, ASRAS Sastri and Bhirendra Kumar
Abstract: Comparison of the simulated value under DSSAT and InfoCrop models experiment was conducted during kharif season for different rice varieties viz., Swarna, Mahamaya, MTU-1010 and Karma Mahsuri. Based on the genetic coefficients generated in the field experiment conducted during kharif season 2014 Raipur simulation was carried out using DSSAT and InfoCrop models with the normal and within normal weather data based on 30 years weather data at Raipur (1981-2013) irrigated and rainfed conditions. Under irrigated conditions the potential yield with DSSAT model is 10.0, 10.3, 9.2, 8.9 and 10.9 t/ha for IR36, Swarna, Mahamaya, MTU1010 and Karma Mahsuri respectively. The potential yield under InfoCrop model is 6.0, 5.3, 5.8, 6.6 and 7.0 t/ha for the same varieties respectively. Thus, it is observed that the production potential under DSSAT model is very high as compared to InfoCrop model. On comparison with DSSAT and InfoCrop model, it was obtained that the production potential of DSSAT model output was very high in comparison to InfoCrop model output, under irrigated conditions. The potential yield of rice varieties under rainfed conditions in DSSAT model are 7.4, 6.0, 7.8, 7.4 and 7.8 tons/ha for IR36, Swarna, Mahamaya, MTU1010 and Karma Mahsuri respectively. The same potential yields estimated by InfoCrop model for the varieties are 6.0, 5.1, 5.3, 6.3 and 6.5 t/ha respectively. However the difference of potential yield under rainfed condition for the five varieties is less as compared to irrigated condition. Thus, under rainfed condition the output of InfoCrop matches with the output of DSSAT crop estimation.
Pages: 665-669 | 657 Views 115 Downloads
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How to cite this article:
Surbhi Jain, ASRAS Sastri, Bhirendra Kumar. Comparison of DSSAT and InfoCrop simulation model for rice production under irrigated and rainfed conditions. Int J Chem Stud 2018;6(4):665-669.
