Variable nitrogen rate determination from plant spectral reflectance in soft red winter wheat

被引:0
作者
W. E. Thomason
S. B. Phillips
P. H. Davis
J. G. Warren
M. M. Alley
M. S. Reiter
机构
[1] Virginia Tech Department of Crop and Soil Environmental Science,Department of Plant and Soil Sciences
[2] International Plant Nutrition Institute,undefined
[3] Virginia Cooperative Extension,undefined
[4] Oklahoma State University,undefined
来源
Precision Agriculture | 2011年 / 12卷
关键词
Nitrogen; Variable rate; Remote sensing; Wheat (; L.);
D O I
暂无
中图分类号
学科分类号
摘要
Variable rate nitrogen (N) application based on in-season remote sensing can potentially improve wheat (Triticum aestivum L.) N management and N use efficiency (NUE). The goal of this study was to evaluate the potential of improving in-season soft red winter wheat (SRWW) variable rate N recommendations based on crop canopy reflectance. Small-plot N rate response calibration studies guided development of the Virginia Wheat Algorithm (VWA) for grain yield prediction and variable rate N fertilizer rate determination for SRWW. Large plot, replicated validation studies conducted for 15 site-years included an N-rich strip installed at growth stage (GS) 25 and various treatments at GS 30; four or five fixed-rate treatments applied to evaluate site N response, a variable rate based on the VWA applied using a GreenSeeker® RT 200 system and a “standard” fixed rate based on GS 30 wheat tissue N concentration. All sites responded positively to GS 30 N application. When data from one site were excluded, rates were 8 and 3 kg ha−1 below the economically optimal N rate (EONR) for the VWA and standard methods, respectively. Based on these data, the GreenSeeker® RT 200 system employing the VWA was equivalent to the current standard method and offers real-time rate prescriptions with less labor and less delay than the current tissue N concentration sufficiency standard.
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页码:666 / 681
页数:15
相关论文
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