The management risk analysis will be updated as new experimental information will become available. The results are part of the pre-season web tool and were also announced in the ISA research conference. Finally we performed a management risk analysis evaluating soybean yield gap, frost risk, planting dates, and plant population effects on yield. Since its announcement on April 16th the tool has reached more than 3000 users. The tool contains information for 11 locations, 24 planting dates within each location, 12 maturities within a planting date and integrates 34 years of weather variability. In addition to field experiments we have developed an interactive web-based tool, the Soybean Planting Decision Tool ( Department of Agronomy), to help growers optimize selection of varieties and planting dates in order to set a high yield potential in their fields. As of Augthe experiments are in progress and we propose to continue the experimentation in 2016. Our approach to estimate N fixation is unique, as we are the first to measure both crop and soil aspects and apply cropping system modeling to analyze the experimental data and extrapolate the results in time and space. Within each site we designed sophisticated experiments to measure N fixation at different crop stages and collect data on crop growth, staging, biomass partitioning, tissue N concentration, and soil water, temperature and nitrogen. The experiments are located at central and northwestern Iowa State University Experimental farms. Regarding the project 1, over the last months we have incorporated several experimental datasets into APSIM for the model analysis, and we established N fixation experiments to fill knowledge gaps. Project 1 is a continuation of the previous year’s project funded by ISA while project 2 is new and it will be the first attempt to forecast soybean yields in real time in Iowa. The second project aims to use the improved model from project 1 as an in-season management tool to forecast soybean yields, crop growth and water/nitrogen requirements during the growing season in representative soybean fields.
#SOYBEAN APSIM MODEL SIMULATOR#
The first project aims to measure N fixation and other critical experimental crop/soil data needed to test, improve and therefore apply the Agricultural Production Systems sIMulator (APSIM) model to develop pre-season decision support tools and shed light on critical questions regarding soybean growth in Iowa. The proposed modeling program integrates two projects. Our goal is to improve soybean yields per unit area in Iowa by using science based simulation models. Archontoulis, Michael Castellano, Andy VanLoocke, Ranae Dietzel, Mark Licht, Peter Kyveryga, Pat Reeg, Tristan Mueller By Sotirios Archontoulis, associate professor of agronomy, ISU
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