Pre-harvest estimation of wheat yield for NW India using climate and weather forecast
DOI:
https://doi.org/10.54302/mausam.v54i3.1567Keywords:
Forecast, Simulation, Yield, Growth, GenotypeAbstract
The yield of a cultivar at any given location depends highly on weather experienced during its life cycle interalia nutrition, soil moisture and management practices. Accurate weather prediction may help farmers to capitalise on benevolent weather and to take adequate steps to protect crops from adverse weather events. This task may be accomplished using crop simulation models linked with climate and weather forecast. But, reliability of weather forecast must be assessed in various agroclimatic zones before their adoption on operational basis.
For this purpose, evaluated CERES-Wheat model V3.5 was utilised to estimate yield and quantify value of perfect forecast for popular wheat genotypes at various steps during crop season using long term weather records in NW India. Accuracy of weather forecast (medium range) was also tested under different fertiliser, dates of sowing and moisture scenarios. Results indicate the suitability of the model for strategic planning, yield estimation and tactical decisions during crop growth season.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 MAUSAM
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.
Anyone is free:
- To Share - to copy, distribute and transmit the work
- To Remix - to adapt the work.
Under the following conditions:
- Share - copy and redistribute the material in any medium or format
- Adapt - remix, transform, and build upon the material for any purpose, even
commercially.
