In this proposal, we will test the following hypotheses through literature review and process modeling:
i) Residue harvest in continuous corn systems in the US Corn Belt can increase grain yield, reduce
the N fertilizer input required to achieve that grain yield, and reduce environmental N losses to
nitrate and nitrous oxide.
ii) Soybean residue harvest in corn-soybean rotation can increase corn grain yield, reduce the N
fertilizer input required to achieve that grain yield, and reduce N losses to nitrate and nitrous
oxide. These potential benefits will be most likely to occur in systems with reduced tillage and
cover crops.
To test these hypotheses, we will perform a meta-analysis based on published data from field
experiments that measure corn yield and the agronomic optimum N rate across different levels of crop
residue harvest. Specifically, we will search the peer-reviewed scientific literature for research that has
examined the effect of crop residue harvest on grain yield, N fertilizer requirements, and environmental
N losses in the following crop. Our search will encompass the northern Corn Belt (PA to NE) and Canada.
In addition, we will provide a brief review and summary of literature from other regions of the world to
provide context for our hypotheses and a need for further research about these questions in the United
States. Although work in other regions of the world has explored similar questions, the cropping systems
are considerably different with respect to crop rotation, crop genetics, soil type, soil management, and
drainage infrastructure. Hence, we cannot assume that results from these studies are transferable to
corn and soybean production systems. Importantly, we note that a likely outcome is that there is not
enough published literature for a thorough quantitative assessment in the northern Corn Belt.
To further assess the impact of corn and soybean residue harvest on environmental variables, such as
nitrous oxide emissions, nitrate leaching, and soil organic carbon change, we will use the Agricultural
Production Systems Simulator model (APSIM) that has been previously evaluated with field-measured
data across 15 sites in four states of the Corn Belt (Fig. 1). For continuous corn, we will simulate a corn
crop following i) business-as-usual management including local practices and, ii) a combination of three
different levels of residue removal and five different N fertilizer rates. We will perform the simulations
for 30 years (period 1990-2020) to account for the weather variability of the region. For corn-soybean
rotation, we will simulate the effect of two soybean residue levels (0 and 90% removal) on the optimum
N rate for the following corn crop. We will integrate these scenarios with cover crops and reduced tillage
to mitigate the effect of soybean residue harvest on erosion and soil organic carbon loss. We will
calibrate the model with soybean residue harvest data from our current experiments in Ames and a study published in the 1990s from Wisconsin. In addition, we will leverage studies from the Iowa N
Initiative to collect additional data from corn following soybean with soybean residue harvest.