Progress report for GNC19-274
Project Title: Improving irrigation and fertilizer management strategies across the Wisconsin Central Sands under a changing climate
The Wisconsin Central Sands (WCS), a region characterized by its sandy soils, is a major vegetable producer in Wisconsin. Due to the sandy soil, regular irrigation is required – making the region prone to leaching and groundwater contamination. High levels of nitrate in groundwater across the WCS have been heavily documented, as well as the resulting human health impacts. However, it is unclear how nitrate (N) levels vary spatially and temporally across the region. As a result, there is additional uncertainty in determining how to credit the N applied through irrigation water, which is pumped from groundwater, in nitrogen management plans. Additionally, it is crucial that we understand how nitrogen use efficiency (NUE) and water use efficiency (WUE) vary under a changing climate in order to best mitigate nitrate leaching to groundwater and reduce our water use, while still maintaining crop production. Our research incorporates both field work and ecosystem modeling to begin answering these questions. Through our combined approach of field and modeling research, we hope to provide farmers, researchers, and policy makers with the tools to make management decisions that will aid in both improving groundwater quality and reducing water use, which will be of heightened importance as weather variability continues to increase.
The overarching objective of this project is to improve irrigation and fertilizer management in the WCS in order to address both water quality and quantity challenges, while still maintaining crop production and farmer livelihood. The actions we will complete are as follows: 1) Assess spatiotemporal variability of nitrate levels in groundwater 2) Determine the different physiological responses of potato varieties to nitrogen and water stress 3) Improve the agroecosystem model, Agro-IBIS to accurately model WUE and NUE of vegetable cropping systems in the WCS under a changing climate. The broader outcomes will be 1) reduced fertilizer use which will provide economic savings and aid in reducing nitrate leaching to groundwater 2) Improved management strategies for responding to a changing climate.
This project will generate a diverse range of both learning and action outcomes. Learning outcomes include: 1) Increased knowledge of nitrate levels in groundwater, and subsequently, irrigation water. 2) Increased knowledge of nitrate variability within season, and year to year. 3) Increased knowledge of spatial variability of nitrate levels in irrigation water across the WCS. 4) Increased knowledge regarding how different varieties of potatoes respond physiologically to nitrogen and water stress under a changing climate.
Action outcomes include 1) Farmers will credit the nitrate found in irrigation water in their nitrogen management plans, and as result, reduce the amount of fertilizer and they are applying. 2) Reducing fertilizer use will save farmers money while simultaneously decreasing nitrate leaching to groundwater. 3) Based on model results, farmers will adopt management strategies that improve WUE and NUE of their vegetable cropping systems.
To determine the spatial and temporal variability of N levels in irrigation water, water samples were collected and analyzed weekly during the growing seasons in 2018, 2019, and 2020 for nitrate and chloride concentration. To collect samples from the fields, we installed funnel systems on farms spanning a North-South gradient across the WCS. Funnel systems were simple, portable, and cost-effective, consisting of a funnel at canopy height, and using PVC pipe and a fence post to route water to a 3-gallon storage container on the ground. During the 2018 growing season, samples were taken from four farms, with five to six fields (each field serviced by a different well) sampled at each farm. We expanded the number of farms involved during the 2019 field season, for a total of six farms, with five to seven fields sampled at each farm. Due to the selling of one farm, only five farms were included in our sampling during the 2020 growing season. In order to balance both the temporal and spatial aspects of the research, roughly half the fields were repeated each year of the study. To allow for replication, three funnels were placed in each field, and each funnel was placed at a different point along the center pivot irrigation system. To account for precipitation, three funnels were placed at each farm in an area free of irrigation. In general, this approach allowed for the passive collection of irrigation water. While sampling from fields, rather than wells directly, meant that our water samples often included both irrigation and precipitation water, we were able to collect roughly ~90 samples a week, which would not have been possible otherwise. As a result of the passive system of sampling, back calculations were performed for each sample to account for any dilution that may have occurred due to precipitation. This study was not crop specific, and any field receiving regular irrigation was included. Throughout the three years of the study, a wide array of crops were grown on the fields sampled, including soybean, potato, sweet corn, field corn, cabbage, hemp, pea, carrot, and strawberry.
Samples were analyzed for both nitrate and chloride using a liquid membrane, combination ion selective electrode. Nitrate and chloride concentration was determined by adding an ionic strength adjuster to each sample, and then measuring the voltage that occurs as a result of the ion exchange between the solution and membrane. To assess the accuracy of our lab analysis (with electrode probes) and determine whether any biases existed, 10% of samples were sent to the UW Stevens Point Water and Environmental Analysis lab and analyzed for N content using a Lachat Instruments Flow Injected Analyzer. Additionally, a subset of samples were also measured for Total Kjeldahl Nitrogen (TKN), which will allow us to determine how much N is being added during fertigation events (e.g. additional N is mixed with the irrigation water and applied to fields) and provide an additional component of the N budget.
During the 2020 growing season, leaf level gas exchange measurements were taken using a LI-COR 6400xt portable gas exchange analyzer (LICOR Inc., Lincoln, Nebraska, USA). The portable system consists of an infrared gas analyzer, leaf chamber, and computer console, allowing for the control of light intensity, temperature, flow rate, relative humidity, and CO2 concentration. To measure photosynthesis and transpiration, an open system approach is taken, calculating photosynthesis and transpiration based on the differences in CO2 and H2O concentrations in in-chamber and pre-chamber air streams. Conceptually, rate of photosynthesis is measured as the difference between photosynthetic carbon assimilation and the CO2 that is lost during mitochondrial respiration. For the 2020 growing season, measurements focused on potatoes grown in a nitrogen rate trial. N rate treatments included 40, 240, and 360 lbs N/ac. Specific data collected included light response curves, CO₂ response curves, survey measurements, soil moisture data, and leaf C:N content. Analysis of potato ecophysiological data collected during the 2020 growing season is currently ongoing.
Additionally, we have begun working on the agroecosystem modeling component of the project, using Agro-IBIS, a biophysical, process based model. Nitrogen management scenarios were developed to assess the impact of N rate and N timing on N leaching and corn yield across the state of Wisconsin, but we are still currently still working on model calibration and validation.
Preliminary results indicate large spatial variability in N levels in irrigation water, and less variability within season and year to year. Fields that were measured in 2018, 2019, and 2020 show good agreement, and the same trends appear to exist year to year across the wells. In comparison to 2019 measurements, there was less variability in N concentrations in 2020. This is likely attributed to less rainfall, which has the potential to increase variability in measurements due to our back-calculations. Average N concentration for the 2020 growing season was about 21 mg/L across all wells.
Educational & Outreach Activities
Research was presented at the Wisconsin Potato and Vegetable Growers Association in February of 2020. Attendees include academic researchers, graduate students, agricultural specialists, extension agents, and growers. About 30 individuals attended the talk. Research has also been presented at an on farm presentation located in Plover, Wisconsin. Participants included graduate students, farmers, and county extension agents, and number of participants is estimated to be 30. A flyer was distributed during the on farm presentation, explaining the research and providing tables for easy calculations. Additionally, some of our results were presented at the virtual Agro-IBIS workshop during April of 2020, which had about 20 graduate students and professors in attendance. Moving forward, the research will be presented at the American Water Resources Association annual conference on March 4th of 2021, as well as at a farmer led watershed group sometime in the summer of 2021. We expect at least one peer reviewed paper to be published from this work. Additional presentations were expected in the spring of 2020, but were canceled due to Covid.
Through our project, we collected water samples from six farms across the Wisconsin Central Sands. Located in the central region of the state, this area is faced with an array of challenges due to geography, hydrology, and economic sectors in the region. As an area characterized by its sandy soil and shallow water table, agricultural fields in the region are highly susceptible to nitrate leaching. Considering that many in the community receive their drinking water from private wells testing well above the EPA threshold of 10 ppm of Nitrate, this is especially concerning. Our research project has highlighted both the severity of N contamination in irrigation water across the region, while also illustrating the wide spatial variability in N levels and minimal temporal variability. Using this information, growers can determine how frequently they need to test the N levels in their water. Additionally, growers may use our findings to begin accounting for the N already present in their irrigation water, when determining how much N to apply to crops during the field season. By taking this approach, growers could substantially reduce the amount of N being applied to the landscape, preventing further groundwater contamination.
By conducting research on farms across the Wisconsin Central Sands, we had the chance to interact directly with farmers and growers in the area, and as a result, became more aware of the barriers they face in relation to nitrogen management. For instance, during presentations we received feedback from growers about the perceived uncertainty surrounding the crediting of nitrate in irrigation water. We also learned that some farmers don’t consider groundwater quality to be much of a concern, while others have already been implementing improved management practices for years. As a result, this information has helped us improve our science communication on the topic, as well as actively seek out input from growers in the area. Additionally, through our widespread sampling of irrigation water, we have a better understanding of the nitrate concentration in irrigation water and how it varies across space and time. Specifically, our results indicate that N levels vary minimally within a growing season, or from year to year, but there is substantial variability from farm to farm, and even among fields within the same farm. This information will allow growers and educators to improve N crediting recommendations.
We received the following email from a vegetable farmer located in Central Wisconsin:
“Thank you for that and thank you for conducting this research. That field grew excellent peas this year and I put part of that to your research making me aware of the nitrates in the water so I could credit them. The peas stood better since I credited the N and I applied less. Higher yields and less inputs that’s a win win!”