Blackgram Yield and Water Productivity Simulations for 20 Indian Districts, 2003-2023

APSIM crop model simulations for blackgram across 20 major Indian districts from 2003 to 2023 reveal an average yield gap of about 515 kg ha⁻¹. The dataset, created by P. G. Dodewar and last updated in April 2026, quantifies potential yields, water productivity indices, and carbon budgets. Model validation showed high accuracy with R² and NSE values around 0.97-0.99.

Use Cases

• Analyze regional yield gaps and their drivers based on simulated versus observed yield data.
• Model water productivity and resource-use efficiency based on physical, irrigation, and economic water indices.
• Identify key factors influencing yield variability based on principal component analysis of nutrient-water coupling and soil organic carbon.
• Assess carbon sequestration potential of blackgram cropping systems based on district-level carbon budgeting metrics.

Strengths

• Model performance is documented as robust with high accuracy metrics (R² and NSE ≈ 0.97-0.99; RMSE ≤20%).
• Provides a 20-year temporal coverage (2003-2023) across 20 major blackgram-growing districts in India.
• Includes multiple water productivity indices (physical, irrigation, economic) and carbon efficiency metrics (CSI mean of 7.21).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is very small (18.2 KB), suggesting limited scope or highly summarized data.

Provenance

Source

figshare, author P. G. Dodewar.

Collection Method

Data generated using the APSIM crop simulation model, integrating weather, soil, management, and cultivar data.

Time Range

2003-2023

Freshness

Last updated 2026-04-15 05:35:40; freshness should be verified.

Geography

Twenty major blackgram-growing districts across diverse ecologies in India.