Proceedings
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| Filter results8 paper(s) found. |
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1. The New Wisconsin Soil Test Recommendation ProgramThe modern Wisconsin soil testing program was originally developed in the early 1960's. It was revised rather thoroughly in 1970 and again in 1981. New research advances, additional correla- tion and calibration data, changes in user needs, and shifts in philosophical viewpoint make it necessary to periodically review the soil testing program and the recommendations that emanate from that program. The current revision is an attempt to incorporate additional research, eliminate certain inconsistencies... |
2. Phosphorus Runoff From Incorporated and Surface-Applied Fertilizer and ManureContinued inputs of fertiher and manure in excess of crop requirements have led to a build-up of soil phosphorus (I?) levels, creating an environmental rather than agronomic concern (Sharpley et al., 1994). The objective of this study was to evaluate the effects of soil test P level, source of P amendments, tillage, and manure application method on P runoff from agricultural soils. The treatments consisted of swine manure surface applied and injected at rates of 29 and 59 Ib acre-' of P, and triple... |
3. Integrating Management Zones and Canopy Sensing for Improved Nitrogen Recommendation AlgorithmsActive crop canopy sensors have been studied as a tool to direct spatially variable nitrogen (N) fertilizer applications in maize, with the goal of increasing the synchrony between N supply and crop demand and thus improving N use efficiency (NUE). However, N recommendation algorithms have often proven inaccurate in certain subfield regions due to local spatial variability. Modifying these algorithms by integrating soil-based management zones (MZ) may improve their accuracy... J. Crowther, J. Parrish, R. Ferguson, J. Luck, K. Glewen, T. Shaver, D. Krull, L. Thompson, N. Mueller, B. Krienke, T. Mieno, T. Ingram |
4. Comparison of Ground-Based Active Crop Canopy Sensor and Aerial Passive Crop Canopy Sensor for In-Season Nitrogen ManagementCrop canopy sensors represent one tool available to help calculate a reactive in-season nitrogen (N) application rate in corn. When utilizing such systems, corn growers must decide between using active versus passive crop canopy sensors. The objectives of this study was to 1) determine the correlation between N management by remote sensing using a passive sensor and N management using proximal sensing with an active sensors. Treatments were arranged as field length strips in a randomized complete... J. Parrish, R. Ferguson, J. Luck, K. Glewen, L. Thompson, B. Krienke, N. Mueller, T. Ingram, D. Krull, J. Crowther, T. Shaver, T. Mieno |
5. Improving Nitrogen Management in Dryland Winter Wheat Production in NebraskaWheat producers in Nebraska endured a significant loss in profit due to reduced grain protein in years that had wet springs such as in 2016 and 2017. Among many potential factors, soil nitrogen (N) is the most central factor that affects protein levels in wheat. To investigate the effect of N on wheat grain yield and protein content, field trials across the State were initiated in 2018. The specific objectives of the field study were to evaluate the effects of different N rates and application... |
6. Site-Specific Yield and Protein Response to Nitrogen Rate and Timing in Winter WheatNitrogen (N) fertilizer management is crucial in cereal crop production. Improved prediction of optimal N fertilizer rates for winter wheat can decrease N losses and enhance profits. We tested seven N fertilizer rates (0, 25, 50, 75, 100, 125, and 150 kg N ha-1) applied at three timings (Fall, Spring, and Split Fall/Spring) in seven small plot trials located in commercial fields... J. Cesario pereira pinto, L. Puntel, L. Thompson, N. Mueller |
7. Benchmarking Nitrogen Recommendation Tools for Nebraska Winter WheatAttaining high yield and high nitrogen (N) use efficiency (NUE) remains a current research challenge in crop production. Digital ag technologies for site-specific N management have been demonstrated to improve NUE. This is due to the ability of digital technologies to account for the spatial and temporal distribution of crop N demand and available soil N in the field, which varies greatly according to soil properties, climate, and management. In addition, winter wheat protein content is highly... J. Cesario pinto, L. Thompson, N. Mueller, T. Mieno, L. Puntel, G. Balboa |
8. Revamping Nitrogen Fertilizer Recommendations for MissouriMultiple nitrogen fertilizer rate decision tools have been developed over the years for recommending nitrogen to growers. These tools are based on mass balance equations with expected yield and yield goal, economically optimum nitrogen rate, preplant soil nitrate test, pre-sidedress and late spring soil nitrate test, plant tissue nitrogen, crop growth models, and canopy reflectance sensing. These tools rarely include biological nitrogen in the rate recommendations. Advances in soil health assessment... G. Singh , J.A. Lory, K.A. Nelson, M. Davis, L. Abendroth, G. Kaur, J. Calhoun, J. Chlapecka |