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ARS Home » Midwest Area » Columbus, Ohio » Soil Drainage Research » Research » Publications at this Location » Publication #105141
Title: USING GLOBAL POSITIONING SYSTEM TO DOCUMENT THE ON-FARMCONDITIONS AFFECTINGSOYBEAN SEED YIELD UNDER FLOODING

Author
item SULLIVAN, MATTHEW - OHIO STATE UNIVERSITY
item Vantoai, Tara
item Fausey, Norman
item BEUERLEIN, JAMES - OHIO STATE UNIVERSITY
item PARKINSON, BOB - USDA-NRCS

Submitted to: Soybean Research World Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 8/21/1999
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: It is estimated that flooding for as little as two days may reduce soybean yields by 25% depending on variety, soil type, and growth stage. Flooding injury is caused by the interaction of many factors, such as variety, growth stage, flooding duration, soil type, fertility level and pathogens. Research to determine the interaction of all the variables would be very costly and complex. An understanding of the importance of the different stresses that reduce soybean yield is necessary not only for developing and testing of flood tolerant varieties, but also in the decision making process of how to best cope with flooding using precision agriculture technology. In this study, we conducted on-farm research in six fields in central Ohio that were prone to flooding. Heavy rainfall in mid June and early July in 1998 flooded all the fields. Each field was mapped by GPS and the elevation was determined to within plus/minus 15 cm. Two transects, each 9 m wide, were designed to span across the lowest area within each field. Each transect was divided into plots 9 m x 9 m according to flooding duration; no flooding, 1-3 days, 3-6 days, and > 6 days. Soil, plant, grain yield data and grain protein and oil content were collected for each plot. Infrared photographs and weather data were collected by remote sensing. The results were superimposed using the ArcView GIS software and the data were analyzed by ANOVA, multiple regression, and correlation. Flooding significantly reduced soybean grain yield in five of the six fields. Plant and soil factors that affect soybean grain yield under flooding are presented and discussed.