Project Details - Full Facts for Selected Year

Parent Project: Agronomic maximization of soybean yield and quality
Checkoff Organization:Kansas Soybean Commission
Categories:Economics, Marketing
Project Title (This Year):Agronomic maximization of soybean yield and quality
NCSRP, USB, QSSB Project Code:1407
Project Year:2015
Lead Principal Investigator:Kraig Roozeboom (Kansas State University)
Co-Principal Investigators: Eric Adee (Kansas State University)
Randall Nelson (University of Illinois at Urbana-Champaign)
Keywords: Best Management Practices, Soybean Educational Activities, Soybean Production Management

Contributions

Contributing OrganizationAmount
Kansas Soybean Commission $9,280.00

Funding

Funded InstitutionAmount
Kansas State University $9,280.00

Information and Results

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Project Summary

Our hypothesis is that synergistic yield effects exist among management practices when multiple practices/inputs are placed into a production system. Each production environment is unique in the number and types of inputs needed to reach optimal yield and profitability; therefore, defining the specific interactions of products and management decisions in a broad range of production geographies (i.e., data from multiple cooperating states) will allow us to create both broad recommendations and recommendations tailored to specific environments.

An understanding of potential return on investment for various products and management decisions which lead to optimal yield and profitability would be an extremely useful economic analysis for producers. The overall objective is to identify, study, and make comprehensive recommendations to growers regarding state-of-the-art management practices across a broad range of geographies as well as within specific production environments, in order to maximize yield and increase grower profitability in today's soybean production climate.

Project Objectives

1. Determine the best yield-protecting or yield-enhancing product or combination of the products to increase soybean yields using the maximum yield concept of ?SOYA?, Systematic Optimization of Yield-enhancing Applications. Products and systems will be evaluated on a large-scale regional basis as well as within specific production environments.
2. Evaluate the interaction of these yield-enhancing products with next generation high-yielding varieties and current varieties, under both aggressive and standard soybean management practices to better understand how management interacts with variety choice.
3. Evaluate the interaction of the ?SOYA? treatments with plant population to better understand the impact of aggressive management on minimum required seeding rates and to broaden and verify minimum seeding rate recommendations determined in the project ?Agronomy Limitations of Soybean Yield and Seed Quality in the US.
4. Evaluate the interaction of yield-enhancing products with different row spacings under aggressive and standard soybean management practices to better understand how management interacts with row spacing.
5. Educate soybean producers and agronomy professionals about the best yield-protecting or enhancing product, or combinations of these products, along with the best management practices that maximize soybean yield and increase grower profitability.

Project Deliverables

Progress of Work

Update:
Inputs and input systems did not affect plant density at either growth stage or on survival rates at any location. Inputs had an effect on height at all three locations but differences were minimal, ranging from 5 to 10 cm. Inputs affected seed mass with differences ranging from 0.6 to 0.7 g 100 seeds-1 at Rossville and Scandia. The use of inputs affected yield at Rossville only. Varieties responded differently to input system for some yield determining factors (e.g. plant density and lodging), but yield components and yield responded similarly regardless of input system. Soybean response to changes in seeding rate was similar regardless of input system for all growth and yield parameters at all locations. Input system did not affect plant density, emergence, establishment, or survival at any of the locations. Seed yield responded to either row spacing or input system at three of five locations. Row spacing and input system had a positive effect on many soybean growth parameters, yield components, and yield. Narrow row spacing, in general, had the greatest fractional canopy coverage and yield across all locations but did not differ from medium and wide row spacing in most other measurements.

Final Project Results

Benefit to Soybean Farmers

Performance Metrics

Project Years

YearProject Title (each year)
2015Agronomic maximization of soybean yield and quality
2014Agronomic maximization of soybean yield and quality