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Interpretive Summaries:
2009 - Spatial Management of Nutrients in Corn
2008 - Spatial Removal of Nutrients by Corn Grown in Colorado
2007 - Spatial Removal of Nutrients by Corn
2006 - Spatial Removal of Nutrients by Corn
2005 - Spatial Removal of Nutrients by Corn
2001 - Spatial Removal of Nutrients by Corn
Spatial Management of Nutrients in Corn, 2009
Research at Colorado State University has for several years been evaluating the impact of precision nutrient strategies on irrigated corn production efficiency. Among these efforts has been an evaluation of the two most prominently used and accepted active NDVI (normalized difference vegetative index) remote sensors. On-going work has shown that both sensors perform equally well in the determination of N variability in irrigated corn in Colorado, and that the V12 to V14 growth stage range is best for the most accurate determination of N variability. The next logical step and current aim of the work is to develop an N recommendation algorithm for the two active crop canopy sensors.
Each sensor’s NDVI N recommendation algorithm calculated unbiased N recommendations, suggesting that the means of algorithm development was valid, as was the estimate of required N at maize growth stage V12. The algorithm developed for each sensor calculated very similar N recommendations. The integration of ground-based sensors and the appropriate N application algorithms into an on-the-go fertilizer application system have the potential to increase the spatial accuracy of N application on fields with sufficient variability, assuming that the algorithms are shown to be stable over time and space. This work is ongoing, and was supported from in-kind soil and plant sample FAR contributions. Thus, support is on a year-to-year basis. CO-12F
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