Rice (<I>Oryza sativa</I> L.) Yield Gap Using the CERSE-Rice Model of Climate Variability for Different Agroclimatic Zones of India

Abstract

The CERES (Crop Estimation through Resource and Environment Synthesis)-rice model incorporated in DSSAT version 4.5 was calibrated for genetic coefficients of rice cultivars by conducting field experiments during the kharif season at Jorhat, Kalyani, Ranchi and Bhagalpur, the results of which were used to estimate the gap in rice yield. The trend of potential yield was found to be positive and with a rate of change of 26, 36.9, 57.6 and 3.7 kg ha -1 year -1 at Jorhat, Kalyani, Ranchi and Bhagalpur districts respectively. Delayed sowing in these districts resulted in a decrease in rice yield to the tune of 35.3, 1.9, 48.6 and 17.1 kg ha -1 day -1 respectively. Finding reveals that DSSAT crop simulation model is an effective tool for decision support system. Estimation of yield gap based on the past crop data and subsequent adjustment of appropriate sowing window may help to obtain the potential yields.

Impact of Projected Climate Change on Rice (<i>Oryza sativa</i> L.) Yield Using CERES-Rice Model in Different Agroclimatic Zones of India

“…Also, from 1979 to 1981 the maximum temperature showed increasing trend, and minimum temperature decreases and a decreasing trend in rainfall, after this small increase in rainfall and again it shows decreasing trend ( Figure 2). In Modipuram, the yield 16 was 4118, 4127, 4278, 4385, 4377 and 4264 kg/ha (Figure 1 It was interesting to note that the sowing date with maximum yield was found to be same for the stations of the same state. In case of stations in Uttar Pradesh and Haryana, the sowing date with maximum yield was found on the same date (15 July).…”

“…In the case of Kanpur, the yields 16 were found to be 4001, 4066, 3849, 4164, 4137 and 3760 kg/ha (Figure 1). Also, from 1979 to 1981 the maximum temperature showed increasing trend, and minimum temperature decreases and a decreasing trend in rainfall, after this small increase in rainfall and again it shows decreasing trend ( Figure 2).…”

“…The climatic variation in observed data for Ludhiana shows slight decrease in maximum temperature and increase in minimum temperature, and increasing trend for rainfall with a large increase from 1991 to 1998 (Figure 2). At Amritsar the yield was 7282, 7083, 6763, 6660, 6468 and 6435 kg/ha for the respective sowing dates 16 . Maximum yield in case of these two stations was obtained when 24 June was considered as the sowing date.…”

“…In case of stations in Uttar Pradesh and Haryana, the sowing date with maximum yield was found on the same date (15 July). The average yield of the selected optimum dates/week was 6391, 6531, 7751, 7561, 4347 and 4131 for Amritsar, Ludhiana, Hisar, Ambala, Modipuram and Kanpur respectively 16 ( Figure 1). …”

Rice (Kharif) Production Estimation Using Sar Data of Different Satellites and Yield Models: A Comparative Analysis of the Estimates Generated Under Fasal Project

“…District level Rice crop yield was estimated using three different procedures -i) Agro-meteorological regression models, ii) Crop Simulation Models, iii) Remote sensing index (VCI) based empirical models. While the first two approaches were used by IMD (in collaboration with state agricultural universities) (Ghosh et al, 2014;Singh et al, 2016), the VCI based model is developed by MNCFC (Dubey et al, 2016).…”