Adjusting Midseason Nitrogen Rate Using a Sensor-Based Optimization Algorithm to Increase Use Efficiency in Corn
By Brenda S. Tubana, Daryl Brian Arnall, O. Walsh, B. Chung, J. Solie, K. Girma, W. Raun. 2008
82 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Plant Science
View Paper: https://www.semanticscholar.org/paper/5cef3d124c3c9485312359ef40709c0ab0e0d5d1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Agronomy and Crop Science
- W. Raun
- J. Solie
- Marvin L. Stone
- A. Dean Monroe
- Quirine M. Ketterings
- Aristotelis C. Tagarakis
- Lin-zhang Yang
- L. Xue
In Plant Science
- W. Raun
- Marvin L. Stone
- J. Solie
- A. Dean Monroe
- Aristotelis C. Tagarakis
- Quirine M. Ketterings
- Lin-zhang Yang
- L. Xue
Citations in the corpus
- Estimating Rice Grain Yield Potential Using Normalized Difference Vegetation Index (2011, unknown): “…using the sensor-based N decision tool developed for wheat ( Triticum aestivum L.) and corn ( Zea mays L.) except that this tool estimates biomass using canopy refl ectance-based vegetation indices as an index of crop yield potential (Raun et al., 1999; Teal et al., 2006; Tubaña et al., 2008).”
- Generalized Algorithm for Variable‐Rate Nitrogen Application in Cereal Grains (2012, methodology): “Tubaña et al. (2008) found that using an algorithm that predicted the N responsiveness and yield potential (YP0), with a modification for plant stand estimated using the coefficient of variation from sensor readings, resulted in net returns to N fertilizer that were higher when spatial variability…”
- Topdressing nitrogen recommendation for early rice with an active sensor in south China (2014, background): “The evaluation of NFOA in winter wheat, corn and other crops showed an improved NUE or grain yield or profit when compared with the conventional N rate recommendation (Raun et al. 2002; Raun et al. 2005; Ortiz-Monasterio and Raun 2007; Tubana et al. 2008).”
- In-Season Estimation of Corn Yield Potential Using Proximal Sensing (2017, methodology): “Crop sensing can aid in identifi cation of areas within fi elds that require additional N for optimal crop yield and quality, allowing for variable and more precise rate applications (Stone et al., 1996; Lukina et al., 2001; Raun et al., 2002; Tubaña et al., 2008), enhancing N use effi ciency.”