2019
Assessment of Soybean Yield Potentials with Yield Monitors in Western New York
Home
Contributor/Checkoff:
New York Corn & Soybean Growers Association
Category:
Sustainable Production
Keywords:
Data analysisData Management
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Jodi Putman, Cornell Cooperative Extension
Co-Principal Investigators:
Project Code:
SYBN 19 003
Contributing Organization (Checkoff):
New York Corn & Soybean Growers Association
$9,700
Institution Funded:
Cornell Cooperative Extension
$9,700
Brief Project Summary:

Yield monitor data allow for evaluation of both spatial and temporal yield variability for all fields, soil types, and management zones within a specific farm. This information will help identify areas of high yield potential, areas of stable yield versus variable yield over time. The latter is useful for development of management zones that can lead to increased yield and yield stability over time. In addition, yield data can be used to quickly evaluate field or soil type specific yield potentials (multi-year data).

In the past year, work has focused on corn yield data as part of a statewide project to evaluate soil type specific yield potentials for corn grain, to develop a yield potential...

Unique Keywords:
#analytical standards & measurements
Information And Results
Final Project Results

Updated February 28, 2022:

View uploaded report PDF file

View uploaded report 2 PDF file

View uploaded report 3 PDF file

View uploaded report 4 PDF file

In the past year, work has focused on soybean yield data as part of a regional project to evaluate soil type-specific yield potentials on individual farms and to develop a yield potential database for soybeans, which currently does not exist. Yield monitor data allow for the evaluation of both spatial and temporal yield variability for all fields, soil types, and management zones within a specific farm. This information will help identify areas of high yield potential, areas of stable yield versus variable yield over time. The latter is useful for the development of management zones that can lead to increased yield and yield stability over time. When three years or more of data are available, the yield data can then be used to develop yield stability maps for farmers for improvements in nutrient management.

The report shows the yield for (1) the farm per year of data submitted, (2) each of the fields for which we received yield records in the current year, and (3) yields per soil type within a field (current year as well). Calculated acres per field were derived from actual cleaned data points and hence will not match with the overall field acres based on the boundary file. Yield data are then grouped by soil type to generate “frequency distributions or histograms” so averages per soil type can be determined. Attached please find the some of the shared farmer reports for 2020.

We are grateful for each farms submission of their farm yield data for the purpose of creating a yield potential database for soybean. Each farms data are added to a larger and growing database of yield values for specific soil types and once we have sufficient amounts of yield data, yield potentials per soil type can be derived. This project will be strengthened by large participation by farmers across the state and is expected to grow in size over time as funding is secured and more farms participate.

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.