Use of crop growth models in agriculture: A review. | [Science International • 2014]

Author(s):

1. Muhammad Irfan Ahmad: University College of Agriculture, University of Sargodha, Sargodha, Pakistan

2. Amjed Ali: University College of Agriculture, University of Sargodha, Sargodha, Pakistan

3. Muhammad Asghar Ali: University College of Agriculture, University of Sargodha, Sargodha, Pakistan

4. Shahid Raza Khan: University College of Agriculture, University of Sargodha, Sargodha, Pakistan

5. Syed Waseem Hassan: University College of Agriculture, University of Sargodha, Sargodha, Pakistan

6. Muhammad Mansoor Javed: University College of Agriculture, University of Sargodha, Sargodha, Pakistan

Abstract:

Crop Modeling is an artistic tool for risk management in Agriculture. Climate change, climate variability, carbon sequestration, long-term food security and environmental sustainability have become important issues in current scenario. Computer simulation models can make a valuable contribution to our understanding of the processes that determine crop responses and predict crop performance. Simulation models greatly facilitate the task of optimizing crop growth and deriving recommendations concerning crop management. They can also be used to determine the potential impact of climate change on future crop productivity, Climate smart agriculture development, mitigation and adaptation strategies. Climate variations, continuously increasing population pressure and market infrastructures are driven forces to reduce agricultural productivity. New management options and appropriate genotypes are need of the day to be considered for sustainable production. Crop simulation models are complementary tools in field experiments to develop innovative crop management systems. In this perspective, two crop growth models viz., APSM (Agricultural Production System Simulator) and DSSAT (Decision Support System for Agro Technology Transfer) were calibrated and validated to predict growth and yield under rainfed conditions for pothwar region of Pakistan.

Page(s): 331-334

DOI: DOI not available

Published: Journal: Science International, Volume: 26, Issue: 1, Year: 2014

Keywords:

Keywords are not available for this article.

References:

References are not available for this document.

Citations

Citations are not available for this document.

Citations

Downloads

Views