While the focus of this grant is centered on student education, the preliminary results of this project will be shared with the local farming community during the annual SMSU agronomy field day in mid-July 2023, and our final results will be presented in mid-July 2024. Over the past three years, this event has been attended by an average of ~75 local farmers and ag business representatives each year. SMSU Agronomy uses this event to showcase the type of research it is conducting, how we as a school focus on hands-on/experiential learning, and how we use the field plots to educate our students during the plot tour. Preliminary data from the proposed project would be presented during the speaking part of the event, and attendees would be welcome to check out the plot and visualize our findings during a plot tour given at the end of the event. While the research won’t be done in summer of 2023, a poster of our findings will be presented in summer 2024.
As mentioned above, SMSU agriculture students will be able to use the plot for experiential learning to help cement their understanding of various aspects of soybean growth and development.
Data generated from the field plot will be used to provide learning opportunities in at least 5 different classes:
• AGRO 132 Crop Production + Lab: This class is the equivalent of an “Agriculture 101” class and is required by all ag majors at SMSU. As such it averages ~20 students each fall semester. This grant will eventually provide the material needed for a lab activity. For this lab, students will go to the field and make observations on how changing soybean planting rates impacts plant growth structure and canopy space. Once we return to school, students will be presented with yield data as a function of planting population, and be asked to make a “Yield response to planting population” graph using the real world data the project will fund and collect. In a series of questions associated with the assignment they will be able to determine/argue what they believe the most economic planting rate would look like with considerations to weed control.
• AGRO 212 Grain and Forage Crop Management: This class is required by Agronomy and Agriculture Solutions majors, and averages around 16 students every other fall. This course focuses on the production of corn, soy, and alfalfa and topics such as optimal planting rates, best fertilization practices, and genetic traits that impact production and is the most agronomist centric of the agronomy courses. Photos taken of canopy development in the plots, branching of soybeans at lower planting populations, and final yield data along with personal experiences will be used and for future lecture material in our soybean unit.
• AGRO 341 Principles of Pest Management + Lab: This class is required by Agronomy and Agriculture Solutions majors, and averages around 9 students every fall. It primarily covers the role IPM plays in US crop production and how proper planning and scouting can be used to save growers money while not compromising on yields. Additionally, this class has students going to the SMSU field plots every week where they then create scouting journals and collect pests for a curated collection as part of a semester-long project. The soybean plots in this project will help demonstrate how a closed canopy can help fight off weeds, and provide a plot for students to develop a scouting plant and a plot from which to collect insects (beneficial and problematic).
• AGRO 390 Precision Ag: This class is required by Agronomy, Agriculture Solutions, and Ag Ed majors. As such it averages ~17 students each fall semester. This course covers precision agriculture tools including variable rate technology, equipment auto-guidance, remote and on-the-go sensing, and gets into the mechanisms of how these tools are utilized. The major assignment in this class is when students get a chance to fly the SMSU drone, take photos, and develop a project/answer a question using the ImageJ program. Like last year's funded project (Utilization of drone technology as a tool to enhance the agricultural learning of future agriculture professionals), this proposal will create a time series of soybean and weed canopy growth at different planting populations and will provide students with hands-on experience in analyzing remotely sensed data to make conclusions. They will also gain experience in scouting the fields with drones during our drone orientation class. Furthermore, they would be free to use the soybean plots while they are still standing to develop their own semester project.
• AGRO 454 Experimental Design in Agriculture + Lab: This class is an Agronomy major elective offered every other spring and averages 8 students a semester. In this class, students use real world data for a weekly assignment to learn about experimental design in a typical agronomic test plot. Some of these assignments include assessment of insecticide sprays, reinforcing the need for replication and blocking, and statistical model development. This course’s main goal is to get the students to a level of statistical understanding where they are eventually able to run an ANOVA by themselves, and to interpret those results correctly. The weekly canopy development dataset, along with the final yield data will provide students a variety of datasets to use and develop their statistical skills. Using a drone to measure canopy development, the biomass measuring approach I describe above, and the eventual yield data we’ll collect, students will also be able to see the many ways in which viable data can be collected.