Validation of DSSAT model

The model performance in respect of phenology was good with error of ±5% for all the three cotton cultivars and growing environments. Also the model performance was within acceptable range of ±10.0% for LAI, seed cotton yield and biomass for all the cultivars and growing environments. But the model performance was not within acceptable range for the crop sown in 1st week of June.

11p trinhthamhodang6 09-07-2020 20 1   Download

The aim of this study was the calibration and validation of DSSAT model (v4.5) for late sown wheat in western zone of Haryana. The DSSAT model was calibrated with the field experimental data of rabi 2010-11 having 3 levels of irrigation (one irrigation at crown root initiation [CRI], two irrigations at CRI and heading and four irrigations at CRI, late tillering, heading and milking) and 5 nitrogen levels (0, 50, 100, 150 and 200 kg N/ha) and validated with data of experiment rabi 2011-12 conducted at Hisar (29°10ˈ N and 75°46ˈ E).

10p kethamoi6 29-06-2020 31 1   Download

A field experiment was conducted during Kharif 2011 to generate the ground truth data of maize crop at Crop Research Station Bahraich of N.D.U.A&T, Kumarganj, Faizabad (U.P.) as to assess the “Evaluation of the DSSAT Crop Growth Model with Maize (Zea mays L.) Cultivars Validated for NEPZ Region of Eastern U.P.” The experiment was conducted in Split Plot Design. The treatment comprised of three dates of sowing viz. 20th June (D1), 30th June (D2) and 10th July 2011 (D3) kept as main plot with three varieties viz. Seed Tech -940 (V1), ProAgro-4212 (V2) and HQPM-1 (V3) kept as sub plot.

6p angicungduoc5 14-06-2020 5 0   Download

It would be preferable to use a reliable crop growth model for studies on climate change impact assessment. The objectives of this study were to evaluate simulation performance for models CERES-Maize included in the DSSAT model (version 4.5) in terms of yield. Three hybrids D.S 900M, Pinnacle and CP818 were grown under four dates June II FN, July I FN, July II FN and August I FN during kharif season, 2016 at S.V. Agricultural college, Tirupati to study the ‘Seasonal influence on yield of maize and its validation with CERES-Maize model’.

5p nguaconbaynhay5 16-05-2020 16 1   Download

Changes of climate will be one of the deciding factors that affect for future food production in the world because crop growth is highly sensitive to any changes of climatic conditions. As the rice is staple food of Odisha, it is essential to identify the impacts of climate changes on State’s rice production. This study was conducted to identify the yield and growth changes of the popular rice variety (Swarna) cultivated in Keonjhar district at kharif season.

9p nguathienthan4 18-04-2020 31 1   Download

An experiment was conducted to study crop growth modeling at the paddy field of ICAR- Indian Institute of Water Management during Kharif 2016. The CERES-Rice model of DSSAT 4.5 was used to simulate crop growth and yield; Validation results showed that model predicted number of days to flowering with the RMSE values of 0.98. Four days difference was recorded between observed and simulated days to flowering in different varieties.

8p nguaconbaynhay4 22-03-2020 14 1   Download