2022
Improvement of soybean yield across MN: benchmarks, the role of maturity group and nutrient deficiencies
Category:
Sustainable Production
Keywords:
DiseaseField management Pest
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Seth Naeve, University of Minnesota
Co-Principal Investigators:
Project Code:
10-15-48-22017
Contributing Organization (Checkoff):
Leveraged Funding (Non-Checkoff):
This project was designed primarily to leverage a large investment made by the NCSRP titled "Using data-driven knowledge for profitable soybean management systems" with PI's Shawn Conley and Paul Esker.
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Institution Funded:
Brief Project Summary:

This proposal leverages an NCSRP project to establish a multi-site experiment to assess attainable yield, the effect of maturity group, and the magnitude of nutrient deficiencies for different environments across Minnesota. Quantifying crop production capacity with available resources on farmland will guide actions by local producers to increase crop yield. The differences between soybean attainable yields and actual yields define the yield gaps. Closing the yield gaps via crop management practices can increase soybean production. The goal of the project is to benchmark attainable yield, to identify key management practices explaining the gap between producers' actual yield and attainable yield as determined by climate, soil, and genetics.

Key Benefactors:
farmers, agronomists, extension specialists, ag retailers

Information And Results
Project Deliverables

The experimental network will be integrated by 8 to 12 sites with contrasting edapho-climatic characteristics around Minnesota soybean crop land area. All the experiments will be carried out under rainfed conditions.
Crop management: The trials will be planted with the technology available by the producer. Planting date will be the earliest recommended for each site. Plant density and row spacing will be adjusted considering local recommendations and seed will be treated. Crops will be maintained free of weed, insects, and diseases. At each site, two modern varieties of contrasting maturity groups will be evaluated. Maturity group selection would change depending

on the target environment (latitude and planting date used by the producer). At each site the fertility management program will be compared against a full nutrition treatment.
Experimental design: A split plot design with at least two replicates will be used at all sites, where the maturity group will be the main plot and nutrition management the sub-plot. The plots will be sized on a farm-by-farm basis based on each farmer’s planting and harvesting equipment. The Naeve project will visit each site after planting to apply additional fertilizer treatments to ensure no fertility-based yield limitations.
• Treatment factors are presented in the table below:

Treatment Number

Treatment Number

Maturity Group

Nutrition

1 short full
2 long full
3 short control
4 long control

Field measurements:
Pre-planting characterization:
• With help from our staff, each producer will fill out a detailed (~6 page) summary of field history and current management practices as part of the larger NCSRP project. This background field data is also important for this more detailed Minnesota-specific project.
• 0-6" soil cores will to characterize texture, SOM, P, CEC, and pH;
• 0-24" soil cores will be used for initial water content, NO3, NH4, and SO4 analysis. In-season samplings:
• Biomass sampling stages will be R3 and R6, to determine crop growth rate during the critical period: 5-foot sample for recording fresh weight and number of plants;
– From the 5-ft sample, 5 whole plants will be kept (fresh and dry weight);
– From the same 5-ft sample, 5 main stems from 5 plants (fresh and dry weight).
• Fraction of soil cover at R3 and R6: Two photographs per plot taken from above and at a minimum distance of 1.5 m from the top of the canopy will be analyzed using Canopy application to obtain fraction of soil cover (%). This variable will be an estimator of the fraction of intercepted radiation that will be also useful to indirectly estimate radiation use efficiency during the critical period.
• Remote-sensed data will be captured from each site after emergence, at canopy closure, and at additional time sequences as frequently as possible. Multispectral imagery will be employed to capture NDVI as well as to evaluate for disease and water stress.
Crop harvest (R8 stage):
• Seed yield will be recorded from combine yield monitor data.
• A 2-lb seed sample per plot will be collected for seed compositional and seed size analysis. Additional information:
• Location descriptors (coordinates, previous crop, amount of residue, tillage system);
• Phenology (VE, R1, R3, R6, and R7) and fertilization records (dates);
• Weather data (temp., prec., radiation, RH, ET). Laboratorial analysis:
• Soil samples:
– as noted above.

• Seed samples:
– Protein, oil, and amino acid concentrations.

Final Project Results

Update:
This project received a one-year no cost extension, so this report will serve as a progress report.

Progress: We are back on track with this project. Despite working hard and twisting arms, farmers have not been willing to fill out surveys. We have tried almost everything including personal pleas to farmer leaders. Yet, we received just a handful of surveys. However... We do have enough fields to conduct the work this summer that was originally promised in this grant in 2022. We are planning to put 2 studies out in each of 7 farmers across the state. Currently, farms are centered in South Central Minnesota, so we are reaching out to farmers in SW, WC, and the RR Valley to participate. We currently have commitments from 5 farmers and will begin putting plots out in the first week of June, 2023.

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.