215-1
See more from this Division: ASA Section: Agronomic Production SystemsSee more from this Session: Technologies for Determining Nutrient Needs and Improving Nutrient Use Efficiency: Graduate Student Competition
Crop models are powerful tools to assess the impacts of different cropping systems inputs, i.e. agro-environmental conditions, management practices and weather, on the crop harvestable organs. On an other hand, the complexity linked to the N management lies in the fact that the expected impact of a given practice is delayed in time from its application. Quantifying the risk associated to representative climatic time-series is a suitable approach to cope with this uncertainty. Therefore, to improve the decision-making process, a complete methodology was designed to simulate yield distributions as an answer to the most probable upcoming climatic conditions interacting with multiple N management strategies.
The STICS soil-crop model was used to simulate the growth of a winter wheat crop. A 30-years historical weather database was analysed using the LARS-Weather Generator. A set of 300 synthetic weather time-series representative of the climatic conditions in the area were then derived. Decision rules, integrating agronomic, economic and environmental objectives were then derived in order to determine the optimal N practices.
First results showed that, 3 years out of 4, substantial gains could be made on the N fractions applied usually at flag-leaf stage. Following the economic constraints (grain selling price and N cost) and the application of environmental taxes, 10 to 30kgN.ha-1 could be systematically saved, increasing the N use efficiency by 5 to 20%, in comparison to the current Belgian Farmers' practice.
See more from this Session: Technologies for Determining Nutrient Needs and Improving Nutrient Use Efficiency: Graduate Student Competition