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ARS Home » Plains Area » Brookings, South Dakota » Integrated Cropping Systems Research » Research » Publications at this Location » Publication #395991

Research Project: Combined Management Tactics for Resilient and Sustainable Crop Production

Location: Integrated Cropping Systems Research

Title: First evaluation of the ‘WieSEL’ integrated plot combine grain yield system

Author
item HAGERTY, CHRISTINA - Oregon State University
item KROESE, DUNCAN - Oregon State University
item NAMDAR, GRAYSON - Oregon State University
item LUTCHER, LARRY - Oregon State University
item Yin, Chuntao
item WOOD, DAISY - Oregon State University
item HUNT, MATTHEW - Oregon State University
item GRAEBNER, RYAN - Oregon State University

Submitted to: Extension Publications
Publication Type: Other
Publication Acceptance Date: 6/6/2022
Publication Date: 6/12/2022
Citation: Hagerty, C.H., Kroese, D.R., Namdar, G.F., Lutcher, L.K., Yin, C., Wood, D.I., Hunt, M.P., Graebner, R.C. 2022. First evaluation of the ‘WieSEL’ integrated plot combine grain yield system. Oregon State University Extension Service. Article EM9358.

Interpretive Summary:

Technical Abstract: Crop yield is the most important parameter measured by agricultural researchers conducting applied research. The objective of this study was to evaluate the performance of the “WeiSEL”, a new plot combine yield measurement system manufactured by Zürn Harvesting GmbH & Co. KG, Germany (2020 Model: Zürn 110). Small plots of winter wheat were harvested at two locations in Oregon in the Inland Pacific Northwest (IPNW). A scatter plot of grain yield data from the combine weigh system and grain yield measured manually with a calibrated platform scale revealed a significant and highly positive linear relationship (r=0.98). Further, Bland-Altman analysis revealed a good agreement between the WieSEL yield data and manually weighed yield data. This is the first independent validation of the new WieSEL weighing system. It appears to be a less expensive and reliable alternative to manual yield collection methods. This publication addresses two complete site years of data but further testing is encourage to extrapolate data beyond this scope of inference.