Relationship of late-season ear leaf nitrogen with early- to mid-season plant height of corn

Abstract

Nitrogen concentration in the ear leaf is a good indicator of corn (Zea mays L.) N nutrition status during late growing season. This study was done to examine the relationship of late-season ear leaf N concentration with early- to mid- season plant height of corn at Milan, TN from 2008 to 2010 using linear, quadratic, square root, logarithmic, and exponential models. Six N rate treatments (0, 62, 123, 185, 247, and 308 kg·N·ha-1) repeated four times were implemented each year in a randomized complete block design under four major cropping systems: corn after corn, corn after soybean [Glycine max (L.) Merr.], corn after cotton [Gossypium hirsutum (L.)], and irrigated corn after soybean. The relationship of ear leaf N concentration determined at the blister growth stage (R2) with plant height measured at the 6-leaf (V6), 10-leaf (V10), and 12-leaf (V12) growth stages was statistically significant and positive in non-irrigated corn under normal weather conditions. However, the strength of this relationship was weak to moderate with the determination coefficient (R2) values ranging from 0.21 to 0.51. This relationship was generally improved as the growing season progressed from V6 to V12. Irrigation and abnormal weather seemed to have adverse effects on this relationship. The five regression models performed similarly in the evaluation of this relationship regardless of growth stage, year, and cropping system. Our results suggest that unlike the relationship of corn yield at harvest with plant height measured during early- to mid-season or the relationship of leaf N concentration with plant height when both are measured simultaneously during early- to mid-season, the relationship of late-season ear leaf N concentration with early- to mid-season plant height may not be strong enough to be used to develop algorithms for variable-rate N applications on corn within a field no matter which regression model is used to describe this relationship.

Share and Cite:

Yin, X. , McClure, M. and Hayes, R. (2012) Relationship of late-season ear leaf nitrogen with early- to mid-season plant height of corn. Agricultural Sciences, 3, 306-316. doi: 10.4236/as.2012.32035.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Biermacher, J.T., Epplin, F.M., Brorsen, B.W., Solie, J.B. and Raun, W.R. (2006) Maximum benefit of a precise nitrogen application system for wheat. Precision Agriculture, 7, 1-12. doi:10.1007/s11119-006-9017-6
[2] Ortiz-Monasterio, J.I. and Raun, W.R. (2007) Reduced nitrogen and improved farm income for irrigated spring wheat in the Yaqui Valley, Mexico, using sensor based nitrogen management. The Journal of Agric. Sciences, 145, 1-8. doi:10.1017/S0021859607006995
[3] Raun, W.R. and Johnson, G.V. (1999) Improving nitrogen use efficiency for cereal production. Agronomy Journal, 91, 357-363. doi:10.2134/agronj1999.00021962009100030001x
[4] Raun, W.R., Solie, J.B., Johnson, G.V., Stone, M.L., Mullen, R.W., Freeman, K.W., Thomason, W.E. and Lukina, E.V. (2002) Improving nitrogen use efficiency in cereal grain production with optical sensing and variable rate application. Agronomy Journal, 94, 815-820. doi:10.2134/agronj2002.0815
[5] Teal, R.K., Tubana, B., Girma, K., Freeman, K.W., Arnall, D.B., Walsh, O. and Raun, W.R. (2006) Inseason prediction of corn grain yield potential using normalized difference vegetation index. Agronomy Journal, 98, 1488-1494. doi:10.2134/agronj2006.0103
[6] Tubana, B.S., Arnall, D.B., Walsh, O., Chung, B., Solie, J.B., Girma, K. and Raun, W.R. (2008) Adjusting mid-season nitrogen rate using a sensor-based optimization algorithm to increase use efficiency in corn. Journal of Plant Nutrition, 31, 1393-1419. doi:10.1080/01904160802208261
[7] Shrestha, D.S., Steward, B.L., Birrell, S.J. and Kaspar, T.C. (2002) Plant height estimation using two sensing systems. ASAE Annual International Meeting, St. Joseph. doi:10.2134/agronj2001.931131x
[8] Raun, W.R., Johnson, G.V., Stone, M.L., Solie, J.B., Lukina, E.V. and Thomason, W.E. (2001) Inseason prediction of potential grain yield in winter wheat using canopy reflectance. Agronomy Journal, 93, 131-178.
[9] Katsvairo T.W., Cox, W.J. and Van Es. H.M. (2003) Spatial growth and nitrogen uptake variability of corn at two nitrogen levels. Agronomy Journal, 95, 1000-1011. doi:10.2134/agronj2003.1000
[10] Machado, S., Bynum, E.D., Jr., Archer, T.L., Lascano, R.J., Wilson, L.T., Bordovsky, J., Segarra, E., Bronson, K., Nesmith, D.M. and Xu, W. (2002) Spatial and temporal variability of corn growth and grain yield: Implications for site-specific farming. Crop Science, 42, 1564- 1576. doi:10.2135/cropsci2002.1564
[11] Sadler, E.J., Bauer, P.J. and Busscher, W.J. (2000) Site-specific analysis of a droughted corn crop: I. Growth and grain yield. Agronomy Journal, 92, 395-402. doi:10.2134/agronj2000.923395x
[12] Yin, X., McClure, M.A., Jaja, N., Tyler, D.D. and Hayes, R.M. (2011) Inseason prediction of corn yield using plant height under major corn production systems. Agronomy Journal, 103, 923-929. doi:10.2134/agronj2010.0450
[13] Yin, X., Hayes, R.M., McClure, M.A. and Savoy, H.J. (2012) Assessment of plant bio-mass and nitrogen nutrition with plant height in early- to mid-season corn. Journal of the Science of Food and Agriculture, (in press).
[14] Savoy, H.J. and Joines, D. (2010) Lime and fertilizer recommendations for the various crops of Tennessee. Chapter II. Agronomic crops, Accessed 14 October, 2010. http://soilplantandpest.utk.edu/pdffiles/soiltestandfertrecom/chap2-agronomic_mar2009.pdf
[15] Leib, B.G. (2011) Management of irrigation systems in Tennessee (MOIST) spreadsheet, Accessed 20 March, 2011. http://bioengr.ag.utk.edu/weather/
[16] Watson, M.E. and Brown, J.R. (1998) pH and lime requirement, in: Brown, J.R., Ed, Recommended Chemical Soil Test Procedures for the North Central Region, NCR Research Publication No. 221. University of Missouri, Columbia.
[17] Sims, J.T. (1989) Comparison of Mehlich 1 and Mehlich 3 extractants for P, K, Ca, Mg, Mn, Cu and Zn in Atlantic coastal plain soils. Communications in Soil Science and Plant Analysis, 20, 1707-1726. doi:10.1080/00103628909368178
[18] Gavlak R.G., Horneck, D.A. and Miller, R.O. (1994) Plant, Soil and Water Reference Methods for the Western Region, University of Alaska, Fairbanks.
[19] Eitel, J.U.H., Long, D.S., Gessler, P.E. and Hunt, E.R. (2008) Combined spectral index to improve ground-based estimates of Nitrogen status in dryland wheat. Agronomy Journal, 100, 1694-1702. doi:10.2134/agronj2007.0362
[20] Kruse, J.K., Christians, N.E. and Chaplin, M.H. (2006) Remote sensing of nitrogen stress in creeping bentgrass. Agronomy Journal, 98, 1640-1645. doi:10.2134/agronj2006.0022
[21] Lee, Y.J., Yang, C.M., Chang, K.W. and Shen, Y. (2008) A simple spectral index using reflectance of 735 nm to assess nitrogen status of rice canopy. Agronomy Journal, 100, 205-212. doi:10.2134/agrojnl2007.0018

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.