Evaluation of DSSAT-CROPGRO Module for Spatial Yield Estimation of Chickpea in Vidisha (Madhya Pradesh) and Nagaur (Rajasthan), India
A. Ragul, S. Pazhanivelan, A. P. Sivamurugan, K. Boomiraj, K. P. Raghunath, Kancheti Mrunalini
International Journal of Environment and Climate Change · pp. 2279–2288 · Published 29 Jul 2023
10.9734/ijecc/2023/v13i92461Abstract
Crop simulation models are often used to characterize, develop and assess field crop production practices. The present study was carried out for chickpea spatial yield estimation at Vidisha of Madhya Pradesh and Nagaur district of Rajasthan employing the DSSAT model. In this study, the DSSAT-CROPGRO module was used to estimate chickpea yield during rabi 2022. To simulate the yield, DSSAT required datasets of crop growth and management, daily weather data, and soil data were provided. The simulated yield was validated using the observed yield through CCEs from farmers’ fields. When the observed and simulated yields were compared, their deviation was found to be less than 20 percent for all varieties at experimental locations of the Vidisha and Nagaur districts. The observed yield of Chickpea matched well after calibration which showed that model could simulate the yield with high accuracy as it showed R2, d, and MAPE of 0.87, 0.92, and 7.30 for calibration and 0.88, 0.90, and 7.60 for the validation, respectively. The model has been successfully calibrated and validated for the chickpea at spatial level and it can be taken for further applications in natural resources management and climate change impact studies.
References (19)
- 1 The DSSAT cropping system model [DOI]
- 2 Some Comments on the Evaluation of Model Performance [DOI]
- 3 Agriculture, Ecosystems & Environment
- 4 Potential Uses and Limitations of Crop Models [DOI]
- 5 Methodology for the use of DSSAT models for precision agriculture decision support [DOI]
- 6 Performance and sensitivity of the DSSAT crop growth model in simulating maize yield under conservation agriculture [DOI]
- 7 Agricultural Science and Technology [DOI]
- 8 The relationship between the normalized difference vegetation index, rainfall, and potential evapotranspiration in a banana plantation of Venezuela [DOI]
- 9 APPLICATION OF MULTIVARIATE TECHNIQUES IN THE AGRICULTURAL LANDS APTITUDE IN CARABOBO, VENEZUELA
- 10 Modeling growth and yield of chickpea (Cicer arietinum L.) [DOI]
- 11 Application and evaluation of the DSSAT-wheat in the Tiaret region of Algeria
- 12 Optimizing sowing window for wheat cultivation in Bangladesh using CERES-wheat crop simulation model [DOI]
- 13 Chickpea: physiological aspects of growth and yield.
- 14 A stochastic modelling approach for real-time forecasting of winter wheat yield [DOI]
- 15 Estimation of Maize Yield at Spatial Level Using DSSAT Crop Simulation Model [DOI]
- 16 Identification of the Main Soil Variables Correlated with Banana Productivity [DOI]
- 17 Assessing the black gram (Vigna mungo) yield due to climate change impacts and its adaptation strategies in the Cauvery delta region of South India [DOI]
- 18 African Journal of Agricultural Research [DOI]
- 19 Sains Tanah - Journal of Soil Science and Agroclimatology [DOI]
Cited by 2
H. Chandrakant Raj, Kovilpillai Boomiraj, S Pazhanivelan · International Journal of Environment and Climate Change · 2023
Yogesh Janghel, H. V. Puranik · International Journal of Environment and Climate Change · 2023
Related research
- Characterization of Plant Growth Promoting Rhizobacteria Isolated from Chickpea (Cicer arietinum) — shares topic coverage
- Response of Chickpea (Cicer arietinum L.) to Phosphate Solubilizing Microorganisms and Phosphorus Levels on Nutrient Availability, Uptake and Seed Yield in Inceptisol — shares topic coverage
- Functional Characterization and In vitro Efficacy of Chickpea Rhizobacteria against Collar Rot and Dry Root Rot — shares topic coverage
- Utilization of Sorghum, Sweet Potato and Chickpea for Production of High Nutritional Value Gluten Free Cookies — shares topic coverage
- Effect of Seed Hydropriming on Seedling Emergence and Growth of Chickpea (Cicer arietinum L.) under Adverse Climatic Condition of Drought and Salinity — shares topic coverage
Article metrics
Real usage data collected on this platform.
28
Page views
0
PDF downloads
3
Outbound clicks
2
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.