Interactive soybean variable‐rate seeding simulator for farmers. (28th September 2022)
- Record Type:
- Journal Article
- Title:
- Interactive soybean variable‐rate seeding simulator for farmers. (28th September 2022)
- Main Title:
- Interactive soybean variable‐rate seeding simulator for farmers
- Authors:
- Correndo, Adrian
McArtor, Brett
Prestholt, Aaron
Hernandez, Carlos
Kyveryga, Peter M.
Ciampitti, Ignacio A. - Abstract:
- Abstract: Seed expense is a critical component affecting soybean ( Glycine max L.) production cost. Achieving potential benefits of adjusting seeding rates by yield environment requires translation from theory to practice through decision support tools. This article introduces the soybean variable‐rate seeding (VRS) simulator, an interactive web‐tool designed to facilitate VRS decisions. A group of agronomists and farmers provided input and feedback to the tool's original design, usability, interactive features, and tool outputs. The simulator generates variable rate seeding recommendations by (a) aggregating and classifying 3 yr of historical soybean yield maps using either yield level (low, medium, or high) or temporal yield stability (stable or unstable) classes, and (b) estimating the difference between the farmers current uniform seeding rate and the optimal seeding rates calibrated for different yield environments of the U.S. Midwest region. For each yield environment, the tool suggests a seeding rate change accompanied by an expected yield increase. Marginal economic and break‐even price analyses of each VRS prescription choice are also provided considering soybean plant survival rate, seed cost, market price, and crop production costs. A step‐by‐step description is provided using a dataset of real, historical, on‐farm soybean yield maps to illustrate the tool's features and limitations. Simulated results indicate that compared to typical fixed seeding rate choices,Abstract: Seed expense is a critical component affecting soybean ( Glycine max L.) production cost. Achieving potential benefits of adjusting seeding rates by yield environment requires translation from theory to practice through decision support tools. This article introduces the soybean variable‐rate seeding (VRS) simulator, an interactive web‐tool designed to facilitate VRS decisions. A group of agronomists and farmers provided input and feedback to the tool's original design, usability, interactive features, and tool outputs. The simulator generates variable rate seeding recommendations by (a) aggregating and classifying 3 yr of historical soybean yield maps using either yield level (low, medium, or high) or temporal yield stability (stable or unstable) classes, and (b) estimating the difference between the farmers current uniform seeding rate and the optimal seeding rates calibrated for different yield environments of the U.S. Midwest region. For each yield environment, the tool suggests a seeding rate change accompanied by an expected yield increase. Marginal economic and break‐even price analyses of each VRS prescription choice are also provided considering soybean plant survival rate, seed cost, market price, and crop production costs. A step‐by‐step description is provided using a dataset of real, historical, on‐farm soybean yield maps to illustrate the tool's features and limitations. Simulated results indicate that compared to typical fixed seeding rate choices, following the tool's recommendations could improve profits between US$5 and 57 ha –1 . The development of this tool contributes to a growing trend of user‐friendly interfaces that assist in translating core agronomic knowledge into practical solutions. Core Ideas: The soybean variable‐rate seeding simulator is an interactive web‐tool designed to facilitate variable rate seeding decisions. The simulator converts 3 yr of yield maps into variable seeding rate recommendations. The simulator provides economic results based on yield environment, plant survival rate, seed cost, and market price. Potential benefits of recommendations ranged from US$5–57 ha –1 compared with fixed seeding rates. This tool contributes to translating core agronomic knowledge into practical solutions. … (more)
- Is Part Of:
- Agronomy Journal. Volume 114:Number 6(2022)
- Journal:
- Agronomy Journal
- Issue:
- Volume 114:Number 6(2022)
- Issue Display:
- Volume 114, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 114
- Issue:
- 6
- Issue Sort Value:
- 2022-0114-0006-0000
- Page Start:
- 3554
- Page End:
- 3565
- Publication Date:
- 2022-09-28
- Subjects:
- Agronomy -- Periodicals
630 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/agj2.21181 ↗
- Languages:
- English
- ISSNs:
- 0002-1962
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24617.xml