Model and sensor-based recommendation approaches for in-season nitrogen management in corn

Agronomy Journal

Volumn 107, Issue 6, 2015, Pages 2020-2030

  Thompson, L J ^a   Ferguson, R B ^a   Kitchen, N ^b   Frazen, D W ^c   Mamo, M ^a   Yang, H ^a   Schepers, J S ^d  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b U S DEPARTMENT OF AGRICULTURE   (United States)

^c NORTH DAKOTA STATE UNIVERSITY   (United States)

^d UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84945429687     PISSN: 00021962     EISSN: 14350645     Source Type: Journal    
DOI: 10.2134/agronj15.0116     Document Type: Article

References (37)

1. Cassman, K.G., A.R. Dobermann, and D.T. Walters. 2002. Agroecosystems, nitrogen-use efficiency, and nitrogen management. Ambio 31:132-140.
2. Cerrato, M.E., and A.M. Blackmer. 1990. Comparison of models for describing corn yield response to nitrogen fertilizer. Agron. J. 82:138-143. doi:10.2134/agronj1990.00021962008200010030x
3. Dobermann, A., C.S. Wortmann, R.B. Ferguson, G.W. Hergert, C.A. Shapiro, D.D. Tarkalson, and D.T. Walters. 2011. Nitrogen response and economics for irrigated corn in Nebraska. Agron. J. 103:67-75.
4. Ferguson, R.B., G.W. Hergert, J.S. Schepers, C.A. Gotway, J.E. Cahoon, and T.A. Peterson. 2002. Site-specific nitrogen management of irrigated Maize. Soil Sci. Soc. Am. J. 66:544-553. doi:10.2136/sssaj2002.5440.
5. Gitelson, A., and M. Merzlyak. 1995. Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll. J. Plant Physiol. 148:495-500.
6. Gitelson, A., M. Merzlyak, and H. Lichtenthaler. 1996. Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm. J. Plant Physiol. 148:501-508. doi:10.1016/S0176-1617(96)80285-9.
7. Hatfield, J.L., A.A. Gitelson, J.S. Schepers, and C.L. Walthall. 2008. Application of spectral remote sensing for agronomic decisions. Agron. J. 100:S-117-S-131. doi:10.2134/agronj2006.0370c
8. Holland, K.H., and J.S. Schepers. 2010. Derivation of a variable rate nitrogen application model for in-season fertilization of corn. Agron. J. 102:1415-1424. doi:10.2134/agronj2010.0015.
9. Janssen, B.H., F.C.T. Guiking, D. van der Eijk, E.M.A. Smaling, J. Wolf, and H. van Reuler. 1990. A system for quantitative evaluation of the fertility of tropical soils (QUEFTS). Geoderma 46:299-318. doi:10.1016/0016-7061(90)90021-Z
10. Jones, J.W., G. Hoogenboom, C.H. Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt et al. 2003. The DSSAT cropping system model. Eur. J. Agron. 18:235-265. doi:10.1016/S1161-0301(02)00107-7.
11. Keating, B.A., P.S. Carberry, G.L. Hammer, M.E. Probert, M.J. Robertson, D. Holzworth et al. 2003. An overview of APSIM, a model designed for farming systems simulation. Eur. J. Agron. 18:267-288. doi:10.1016/S1161-0301(02)00108-9.
12. Kersebaum, K.C. 1995. Application of a simple management model to simulate water and nitrogen dynamics. Ecol. Modell. 81:145-156. doi:10.1016/0304-3800(94)00167-G.
13. Mamo, M., G.L. Malzer, D.J. Mulla, D.R. Huggins, and J. Strock. 2003. Spatial and temporal variation in economically optimum nitrogen rate for corn. Agron. J. 95:958-964. doi:10.2134/agronj2003.0958.
14. Melkonian, J.J., H.M. Van Es, A.T. DeGaetano, and L. Joseph. 2008. ADAPT-N: Adaptive nitrogen management for maize using highresolution climate data and model simulations. In: R. Kosla, editor, Proceedings of the 9th International Conference on Precision Agriculture, Denver, CO. 20-23. July 2008. (CD-ROM).
15. Melkonian, J., H.M. van Es, A.T. DeGaetano, J.M. Sogbedji, and L. Joseph. 2007. Application of dynamic simulation modeling for nitrogen management in maize. In: T. Bruulsema, editor, Managing crop nutrition for weather. Int. Plant Nutrition Inst., Peachtree Corners, GA. p. 14-22.
16. Melkonian, J., H.M. van Es, and L. Joseph. 2005. Precision nitrogen management model: Simulation of nitrogen and water fluxes in the soil-crop-atmosphere continuum in maize (Zea mays L.) production systems. Version 1.0. Res. Ser. no. R05-2. Dep. of Crop and Soil Sciences, Cornell Univ., Ithaca, NY.
17. Miao, Y., D.J. Mulla, G. Randall, J. Vetsch, and R. Vintila. 2009. Combining chlorophyll meter readings and high spatial resolution remote sensing images for in-season site-specific nitrogen management of corn. Precis. Agric. 10:45-62. doi:10.1007/s11119-008-9091-z
18. Myrold, D.D., and P.J. Bottomley. 2008. Nitrogen mineralization and immobilization. In: J.S. Schepers and W.R. Raun, editors, Nitrogen in agriculture systems. ASA, CSSA, and SSSA, Madison, WI. p. 157-172.
19. Raun, W.R., J.B. Solie, G.V. Johnson, M.L. Stone, R.W. Mullen, K.W. Freeman et al. 2002. Improving nitrogen use efficiency in cereal grain production with optical sensing and variable rate application. Agron. J. 94:815-820. doi:10.2134/agronj2002.8150.
20. Roberts, D.F., N.R. Kitchen, P.C. Scharf, and K.A. Sudduth. 2010. Will variable-rate nitrogen fertilization using corn canopy reflectance sensing deliver environmental benefits? Agron. J. 102:85-95. doi:10.2134/agronj2009.0115.
21. SAS Institute. 2008. SAS/STAT user’s guide. Version 9.2. SAS Inst., Cary, NC.
22. Scharf, P.C., N.R. Kitchen, K.A. Sudduth, and J.G. Davis. 2006. Spatially variable corn yield is a weak predictor of optimal nitrogen rate. Soil Sci. Soc. Am. J. 70:2154-2160. doi:10.2136/sssaj2005.0244.
23. Scharf, P.C., and J. Lory. 2006. Integrated pest management best management practices for nitrogen fertilizer in Missouri. Missouri Univ. Ext., Univ. of Missouri-Columbia.
24. Scharf, P.C., and J.A. Lory. 2009. Calibrating reflectance measurements to predict optimal sidedress nitrogen rate for corn. Agron. J. 101:615-625. doi:10.2134/agronj2008.0111.
25. Schmidt, J.P., A.J. DeJoia, R.B. Ferguson, R.K. Taylor, R.K. Young, and J.L. Havlin. 2002. Corn yield response to nitrogen at multiple in-field locations. Agron. J. 94:798-806. doi:10.2134/agronj2002.7980.
26. Setiyono, T.D., H. Yang, D.T. Walters, A. Dobermann, R.B. Ferguson, D.F. Roberts et al. 2011. Maize-N:A decision tool for nitrogen management in maize. Agron. J. 103:1276-1283. doi:10.2134/agronj2011.0053.
27. Shanahan, J.F., N.R. Kitchen, W.R. Raun, and J.S. Schepers. 2008. Responsive in-season nitrogen management for cereals. Comput. Electron. Agric. 61:51-62. doi:10.1016/j.compag.2007.06.006.
28. Shanahan, J.F., J.S. Schepers, D.D. Francis, G.E. Varvel, W.W. Wilhelm, J.M. Tringe et al.. 2001. Use of remote sensing imagery to estimate corn grain yield. Agron. J. 93:583-589. doi:10.2134/agronj2001.933583x
29. Shapiro, C.A., R.B. Ferguson, G.W. Hergert, A.R. Dobermann, and C.S. Wortmann. 2003. Fertilizer suggestions for corn. NebGuide G174. Univ. of Nebraska, Lincoln.
30. Sheridan, A.H., N.R. Kitchen, K.A. Sudduth, and S.T. Drummond. 2012. Corn hybrid growth stage influence on crop reflectance sensing. Agron. J. 104:158-164. doi:10.2134/agronj2011.0213.
31. Sinclair, T.R., and R.C. Muchow. 1995. Effect of nitrogen supply on maize yield: I. Modeling physiological responses. Agron. J. 87:632-641. doi:10.2134/agronj1995.00021962008700040005x
32. Smaling, E.M.A., and B.H. Janssen. 1993. Calibration of QUEFTS, a model predicting nutrient uptake and yield from chemical soil fertility indices. Geoderma 59:21-44. doi:10.1016/0016-7061(93)90060-X
33. Solari, F., J. Shanahan, R. Ferguson, J. Schepers, and A. Gitelson. 2008. Active sensor reflectance measurements of corn nitrogen status and yield potential. Agron. J. 100:571-579. doi:10.2134/agronj2007.0244.
34. Stockle, C.O., M. Donatelli, and R. Nelson. 2003. CropSyst, a cropping systems simulation model. Eur. J. Agron. 18:289-307. doi:10.1016/S1161-0301(02)00109-0.
35. Supit, I., and E. Van der Goot. 2003. Updated system description of the WOFOST crop growth simulation model as implemented in the crop growth monitoring system CGMS, applied by the European Commission. Treemail Publ., Heelsum, the Netherlands.
36. Yang, H.S., A. Dobermann, K.G. Cassman, and D.T. Walters. 2006. Features, applications, and limitations of the hybrid-maize simulation model. Agron. J. 98:737-748. doi:10.2134/agronj2005.0162.
37. Yang, H.S., and B.H. Janssen. 2000. A mono-component model of carbon mineralization with a dynamic rate constant. Eur. J. Soil Sci. 51:517-529. doi:10.1046/j.1365-2389.2000.00319.x