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1. Variable Nitrogen Rate ManagementIt is now more or less acknowledged that lime and N are potentially more profitable than P and K variable rate management. There is a lot of variability in optimal N rates within fields so that there is a need for variable N management. The benefits related to variable N management are generally ranked as: o Less N fertilizer used per unit yield. Savings of 15 USDIac on average for small grains. up to 41 USDIac. o Greater uniformity in crop stand, yield, grain humidity, specific weight and protein... |
2. Fertilizer Placement in Fall Strip TillageFall strip-tillage potentially provides an opportunity to increase conservation-till corn yields while sirnplifylng corn planters by minimizing the need for multiple coulters and application of relatively high rates of starter-band fertilizer associated with no-till. However. little is known about the relative efficiency of P and K application using fall strip-till systems co~npared to when starter-band applied in no-till systems. The objectives of the research reported in this study were to evaluate... |
3. Updating General Fertilizer Nitrogen Recommendations for Corn in OntarioCorn yield response data from field trials conducted over the past 30 years which evaluated yield response to fertilizer nitrogen (FN) in Ontario were cornpiled and reanalyzed in order to update general FN recommendations for corn in Ontario. The primary objectives of the reanalysis were to 1) determine the impact of the quadratic plateau model on FN recommendations and 2) develop a set of general recommendations that are free of adjustments based on geographical regions. The new proposed recommendations... |
4. Balancing Agronomy and Environment: N Recommendations in Ontario for the 21st CenturyThe goal of a fertilizer program may be to maximize yields from each ficld, or to maximize profit, or to minimize environmental impact. Recent instances of groundwater contamination with nitrate have focused attention on the need for source water protection, and agriculture has been implicated as one of the sources of nitrate contamination. This has lead to concerns that environmental rules could reduce the profitability of crop production, by limiting fertilizer use and hence, crop yields. Additional... |
5. Evaluation of Crop Canopy Sensors as a Tool for Soybean Research and ProductionDetermining the variables that consistently increase yields in soybean  [Glycine max (L.) Merr.] continues to challenge researchers, agronomists and growers alike. Crop canopy sensors have emerged as a technology used in other cropping systems to monitor and manage agricultural inputs. The sensors measure reflectance in selected wavebands that are used to calculate vegetation indices that relate to unique leaf or canopy characteristics. The objectives of this study were to determine if a commercially... |
6. 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 |
7. 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 |
8. 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 |
9. Impact of Site-Specific Variability on the Effectiveness of Active Canopy Sensors for In-Season N Management in CornIn-season nitrogen (N) management in corn guided by active canopy sensors is often associated with higher yields, profit and nitrogen use efficiency (NUE). However, these benefits could vary from field-to-field and year-to-year. These inconsistent relationships between technology and benefits represent a major challenge for increasing adoption of sensor-based N application in corn. Thus, a better understanding of which site-specific factors determine positive benefits from sensor-based N application... L. Puntel, J. Luck, L. Thompson |
10. Promoting Adoption of Precision Nitrogen Management Technologies Through On-farm ResearchThe Nebraska On-Farm Research Network helps farmers evaluate products and practices that impact the productivity, profitability, and sustainability of their operations. There are many technologies that have potential to increase nitrogen use efficiency (NUE) on corn and winter wheat but typically these technologies have low adoption. At the same time, farmers have technologies such as GPS, yield monitors, and variable-rate application equipment on their farmers that enables them to easily conduct... L. Thompson, L. Puntel, T. Mieno, J. Iqbal, B. Maharjan, J. Luck, S. Norquest, J. Guilherme cesario pereira pinto, C. Uwineza |
11. 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 |
12. Cover Crop Species and Planting Methods Influence on Corn N Requirement in Southern IllinoisIt is well established that planting cover crops prior to corn (Zea mays L.) can influence soil temperature, moisture, and nitrogen (N) dynamics. These changes in soil along with the effects of cover crop on corn plant population can influence corn grain yield and N requirement. Two strategies to facilitate corn establishment and avoid N immobilization especially in winter cereal cover crops is by mixing cover crop species or skipping the corn row (precision planting). A randomized complete... A. Sadeghpour, C. Kula, G. Sener, C. Vick |
13. Integrated and Impactful Research and Extension Through Digital On-farm ResearchAdvancements in digital agriculture tools have increased the scale and complexity of agricultural challenges which can be addressed through on-farm research. On-farm research has the potential to center farmers in the discovery and innovation process and integrate the research, extension and teaching missions of the university. Synergistic partnerships with industry advance technology adoption. Thompson will discuss the opportunities to leverage the changing landscape of on-farm experimentation... L. Thompson |
14. Agronomic Management of Nitrogen to Reduce N2O Emissions in ManitobaNitrous oxide (N2O) emissions from soil accounts for about 20% of Manitoba’s total greenhouse gas (GHG) emissions. Numerous and recent field research has evaluated these emissions as influenced by nitrogen (N) management practices – such as use of enhanced efficiency fertilizers (EEFs), fertilizer placement and timing, use of legume and cover crops and organic farming. Several practices result in considerable decreases in N2O emissions, across a wide... J. Heard, M. Tenuta |
15. Cover Crop Species and Planting Methods Influence on Corn N Requirement in Southern IllinoisIt is well established that planting cover crops prior to corn (Zea mays L.) can influence soil temperature, moisture, and nitrogen (N) dynamics. These changes in soil along with the effects of cover crop on corn plant population can influence corn grain yield and N requirement. Two strategies to facilitate corn establishment and avoid N immobilization especially in winter cereal cover crops is by mixing cover crop species or skipping the corn row (precision planting). A randomized complete... A. Sadeghpour, C. Kula, G. Sener |