Proceedings
Authors
| Filter results3 paper(s) found. |
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1. Predicting Subsoil Nitrate Content from Surface MeasurementsPreplant soil profile nitrate (NO,-N) tests are effective for I predicting corn (Zea mays L.) responsk to applied N. The difficulty of obtaining profile soil samples is one of the main obstacles to more extensive use of preplant tests. One approach to overcoming this barrier is to develop and use models to predict subsoil NO -N contents 3 from surface soil NO -N measurements. Data from 2295 routlne field 3 samples submitted to the University of Wisconsin Soil and Plant Analysis Laboratory from 1989... |
2. Zone Delineation for Nitrogen ManagementManaging nitrogen through zone soil sampling has been shown effective in revealing residual soil nitrate patterns in North Dakota. Zone delineation has been constructed using several types of data, including yield maps, remote imagery, topography and soil EC sensor data. A study was conducted in North Dakota, Montana and Minnesota to evaluate zone delineation methods. Across the region, yield frequency maps, topography, remote inlagery and soil EC data were effective in helping to construct zones.... |
3. Elucidating How N Management Practices and Excess Water Conditions Affect Corn N Uptake and Grain YieldFlooding and waterlogging events have been more frequent in the Midwest region, causing corn yield penalty nitrogen losses through leaching and denitrification processes. Improving N fertilizer recommendations for areas prone to flood conditions is necessary to minimize N losses and optimize corn yield. This research aimed to determine how N application practices before and after waterlogging events impact corn growth and grain yield. A field experiment was initiated in 2021 in Custar, Ohio using... W. Novais, C.D. Sprunger, L.E. Lindsey, S. Khanal, O. Ortez, M. Mann, A. . Lindsey |