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Simulation modeling of rice (Oryza sativa L.) cultivars using DSSAT model (version 4.5) for South Gujarat heavy rainfall zone

KrishiKosh

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Title Simulation modeling of rice (Oryza sativa L.) cultivars using DSSAT model (version 4.5) for South Gujarat heavy rainfall zone
 
Creator Mote, Balaji M.
 
Contributor Neeraj Kumar
 
Subject ---
 
Description A field experiment was conducted on college farm, Navsari Agricultural University, Navsari (Gujarat) during the kharif season of the year 2012. The experiment was laid out in a split plot design with three dates of transplanting (D1, D2 and D3) as main plot treatment, three genotypes (V1, V2 and V3) and two nitrogen levels (N1 and N2) as sub- plot treatment with three replications. The results obtained during the track of study, discovered that the weather had played, significant role in deciding the yield of rice. However, the weather variables affected the crop growth, development and yield differently in different phenophases during its growth period. The results, regarding different phenophases as well as yield attributing characters of rice genotypes as influenced by different treatments, showed that the first date of transplanting (D1) at 100 kg nitrogen level in cv. Gurjari produced significantly higher grain yield as well as above ground biomass. A similar trend was also observed in the plant height, number of tillers plant-1,
number of grains panicle-1, number of panicles meter-2, number of grains meter-2, test weight, grain yield, by- product weight, maximum leaf area index and number of days taken in different phenophases, followed by D2 at 100 kg nitrogen level in cv. Jaya and D3 at same nitrogen level in GNR-2. The observed data were tested and validated using the DSSAT Version 4.5 (CERES-Rice). Simulation model was tested for its capability to predict phenology, growth and yield of rice cv. Jaya, Gurjari and GNR-2. CERES model was calibrated by using passed years data base (2009-2011) for determination of genetic coefficients of crop cv. Jaya, Gurjari and GNR-2. The CERES-Rice model was validated with field experimental data of 2012. The model predicted the occurrence of phenophases like panicle initiation, anthesis, beginning of grain filling and physiological maturity (DAT) at different dates of transplanting and nitrogen levels within ± 12.58 days of observed values at Navsari location. Prediction of yield and yield characters viz. grain yield, unit weight of grain, above ground biomass, by-product weight and harvest index at different dates of transplanting and nitrogen levels within ± 30.68 percent error. The phenophases of genotypes (cv. Jaya, cv. Gurjari and cv. GNR-2) at different dates of transplanting and nitrogen levels was predicted by CERES- Rice Version 4.5 model with more accurately as campare to yield and yield attributing characters at same treatments. Total GDD utilized by different dates of transplanting of rice genotypes to attain the maturity almost different to
respective dates of transplanting. Further, it was noticed that the thermal indices use efficiencies varied with the dates of transplanting of rice crop.
 
Date 2017-01-20T11:19:33Z
2017-01-20T11:19:33Z
2013-07
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/97285
 
Language en
 
Publisher AGRICULTURAL ENGINEERING DEPT., NAVSARI AGRICULTURAL UNIVERSITY, NAVSARI