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Grove, J
Graeff, S
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Authors
Graeff, S
Pfenning, J
Claupein, W
Grove, J
Pena-Yewtukhiw, E.M
Pena-Yewtukhiw, E.M
Grove, J
Topics
Precision Horticulture
Precision Carbon Management
Modeling and Geo-statistics
Type
Oral
Year
2010
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1. Adoption Of N-application Rates In Different Broccoli Cultivars By Reflectance Measurements

 To date many sensors have been solely developed and tested for arable crops. This project aims to develop the means to rapidly map N-demand in broccoli plants on a site-specific, plant-by-plant basis using reflectance measurements. The aim of this specific study was to monitor nitrogen status in six different broccoli cultivars using reflectance measurements and to derive suitable N-fertilization strategies based on the sensor measurements.A... S. Graeff, J. Pfenning, W. Claupein

2. C And N Coupling Through Time: Soil C, N, And Grain Yield In A Long-term Continuous Corn Trial

Gains and losses of both C and N are important in agricultural landscapes. Temporal changes in the pattern of crop yield response to tillage and fertilizer input are commonly observed; often weakly interpreted, in long-term research. A 38-year-long monoculture corn (Zea mays L.) tillage (moldboard plow, no-tillage) by N rate (0, 84, 168, 336 kg N per hectare) trial was sampled to a depth of 100 cm, as was the surrounding... J. Grove, E.M. Pena-yewtukhiw

3. Crop Rotation Impacts ‘Temporal Sampling’ Needed For Landscape-defined Management Zones

Yield and landscape position are used to delineate management zones, but this approach is confounded by yield’s weather dependence, causing yield to evidence temporal variability/lack of yield stability. Management options (e.g. crop rotation) also influence yield stability. Our objective was to build a model that would describe the influence of crop rotation on the temporal yield stability of landscape defined management zones. Corn (Zea mays L.) yield data for two rotations,... E.M. Pena-yewtukhiw, J. Grove