Wednesday, November 7, 2007 - 2:45 PM
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Response of Corn (Zea mays L.) Grain Yields to Variable Row Nitrogen Fertilization.

S.L. Holtz1, Brenda Tubana1, Brian Arnall1, K.W. Freeman2, R.K. Teal3, B. Chung1, O.S. Walsh1, Pam Turner1, K. Lawles1, Clinton Mack1, D.E. Edmonds1, M.C. Daft1, C.R. Dotson1, B. England1, Kefyalew Girma1, and W.R. Raun1. (1) Oklahoma State University, 054 Ag Hall, Stillwater, OK 74078, (2) Monsanto Co., Brandon, SD 57005, (3) University of Georgia, P.O. Box 1209, Tifton, GA 31793

A significant amount of research on nitrogen (N) dynamics and different N management systems has been conducted in an attempt to maintain agricultural productivity and environmental quality. Besides optimal rates and timing, efficient N application schemes are essential to improve N management in corn (Zea mays L.) production. This study was conducted to evaluate corn grain yield response to variable row N fertilization. This trial was established at the Lake Carl Blackwell Irrigated Research Station, near Stillwater, OK in 2005. Treatments consisted of five topdress N rates (0, 34, 67, 100, and 134 kg ha-1) applied as urea-ammonium-nitrate (UAN, 28% N) at row-specific rates (3 m long, 0.76 m row spacing). The experimental design was a Completely Randomized Design with three replications. Corn ears of each row were hand harvested, dried, shelled, and weighed for grain yield determination. Yields remained constant across rows when all rows received N ranging from 7.9 to 6.4 in 2005 and 5.1 to 4.4 Mg ha-1 in 2006, respectively.  However, a steady decrease in yield of the two rows that received no N was evident in plots treated with N rates of 67, 100, and 134 kg ha-1 applied only to the first three rows ranging from 10.5 to 5.9, 10.6 to7.3, and 12.4 to 5.6 in 2005 and 5.0 to 3.4, 5.8 to 4.0, and 7.9 to 4.7 Mg ha-1 in 2006, respectively. The degree of yield reduction was lower in the unfertilized rows located between or next to the fertilized row/s implying that N within the root zone benefited the neighboring unfertilized corn row. This study will provide knowledgebase to improve N application methods for use efficiency and grain yield optimization in corn.