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Rolle, F
Solari, F
Bowen, J
Spackman, J
Hodgen, P.J
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Authors
Spackman, J
Fernandez, F
Paiao, G.D
Fernádez, F
Kaiser, D
Spackman, J
Hodgen, P.J
Raun, W.R
Johnson, G.V
Teal, R.K
Freeman, K.W
Martin, K.L
Shanahan, J.F
Schepers, J.S
Solari, F
Hodgen, P.J
Schepers, J.S
Shanahan, J.F
Shanahan, J.F
Solari, F
Schepers, J.S
Francis, D.D
Spackman, J
Fernandez, F
Fabrizzi, K
Bowen, J
Spackman, J
Kastenbauer, J
Fernández, F
Sharma, V
Venterea, R
Spackman, J
Topics
Fertilizer placement comparisons
Graduate Student Award Poster
Type
Oral
Poster
Year
2016
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2025
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Filter results9 paper(s) found.

1. In-Season Soil Nitrogen as a Predictor of Corn Grain Yield

Corn (Zea mays L.) grain yield is closely linked to plant available soil nitrogen (N). Our objectives were to (i) examine the influence of N rate, source, and time of application on N use efficiency with relation to grain yield and total plant N uptake, and (ii) evaluate in-season soil N testing as a tool to determine N rate needs and predict grain yield. During the 2014-2015 growing seasons, 12 fields across Minnesota varying in soil and climate conditions received 1) pre-plant urea (0 to 204... J. Spackman, F. Fernandez

2. Comparison of Canopy Sensing Technologies for Corn Nitrogen Management in Minnesota

Various crop canopy sensing tools are being used to manage nitrogen, but their utility to predict N needs in Minnesota remains unclear. The objectives of this study are to compare the effectiveness of different canopy sensing technologies at predicting corn (Zea mays L.) yield at different development stages, and compare their capability to determine in season N deficiency. Six to seven N rates at 35 to 45 kg N ha -1 increments were pre-plant applied in six fields throughout Minnesota and a rate...

3. Relationship Between Response Indices Measured In-Season and at Harvest in Winter Wheat

Current methods for making nitrogen recommendations in winter wheat (Triticum aestivurn L.) do not adjust for in-season temporal variability of plant available non-fertilizer nitrogen (N) sources. The purpose of this study was to compare the use of different nitrogen response indices determined in-season @INDVI and RIPLANTHEIGkm) to the nitrogen response index measured at harvest (RIHARvEST). In addition, this study evaluated the use of the in-season response indices for determining topdress nitrogen...

4. Active Sensor Orientation Over Corn Rows and Effect on Assessment of Biomass

Our long-tern mresearch goal is to develop practical N application systems that use on-the-go remote sensing as a nleans to assess crop N status and only apply N where needed at times when the crop can most efficiently utilize N. Our preliminaty testing of two active sensor systems has shoxl-11 considerable promise for rapid and accurate assessment of canopy N status and crop biomass. In this work, the effect of sensor positioning and orientation over the canopy and their effects on assessment of...

5. In Season Recommendations

We are testing a prototype high-clearance tractor configured with active crop canopy sensors, drop nozzles with electronic valves, and a variable rate controller as means to deliver in-season variable rates of liquid N fertilizer based on crop needs as an alterative to preplant uniform applications of N. The active sensor we're evaluating is the model ACS-210 Crop Circle made by Holland Scientific. It generates it's own source of modulated light in the amber and near infrared (NIR) bands and then...

6. 4R Nutrient Management for Corn Production on Upper Midwest Soils

Corn (Zea mays L.) demand for nitrogen (N) is often met using inorganic fertilizer on Upper Midwest soils. While applying the right rate of fertilizer N normally has the greatest impact on yield and N use efficiency (NUE), selection of the right fertilizer source, placement, and application timing can fine-tune rate recommendations, improve NUE by matching soil N availability to corn demand, and minimize loss to the environment. Given the diversity of corn production environments, the... J. Spackman, F. Fernandez, K. Fabrizzi

7. Relating Soil Properties to Spatial Variation of Phosphorus Critical Level

Variable rate (VR) fertilizer application has increased with proliferation of VR capable equipment. Current recommendations for VR phosphorus (P) application often assume that critical level is constant across a field adjusting only for spatial variation of soil P concentration. We conducted this study to determine whether variation in critical level, identified by relative yield of unfertilized to fertilized plots, could be explained by soil properties. In 2016, plots, measuring... J. Bowen

8. Soil Nitrogen Management is Impacted by Soil Texture and Weather

Nitrogen (N) is an important nutrient for corn production that is often supplied as inorganic fertilizer, but its use can also lead to environmental degradation. The 4R (right rate, source, time, and placement) approach has been suggested as a framework for N management to improve crop yield and nutrient use efficiency while minimizing environmental contamination. There is not a universal 4R best management strategy, nor should there be because many variables impact N... J. Spackman

9. Fertilizer Derived Nitrogen Dispersion in Minnesota Corn with Rye and Kura Clover Cover Crops

While ideally all fertilizer nitrogen (N) is utilized by crops, much can be lost to the environment as nitrate (NO3), nitrous oxide (N2O), or ammonia (NH3). To enhance agronomic systems and mitigate environmental N dispersion, best management practices can be utilized. Here, urea was applied to continuous corn at 250 kg N/ha or a 0 kg N/ha control, and with select cover crops (no cover, winter rye, kura clover) to assess practices that may result in optimal fertilizer... J. Kastenbauer, F. Fernández, V. Sharma, R. Venterea, J. Spackman