Remote sensing of winter wheat tiller density for early nitrogen application decisions

被引:52
作者
Flowers, M
Weisz, R
Heiniger, R
机构
[1] N Carolina State Univ, Dept Crop Sci, Vernon James Res & Ext Ctr, Raleigh, NC 27695 USA
[2] North Carolina State Univ, Dept Crop Sci, Plymouth, NC 27962 USA
关键词
D O I
10.2134/agronj2001.934783x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
There is increasing evidence that scouting of winter wheat (Triticum aestivum L.) fields to determine tiller density at Growth Stage (GS) 25 is useful in deciding if N should be applied. However, to obtain an accurate average of field tiller density, frequent and intensive measurements must be made, A solution to this problem may be remote sensing, The objectives of this study were to determine (i) if a spectral index or digital counts in the near infrared (NIR), red (R), green (Gf, or blue (B) wavelengths could be used to estimate GS-25 tiller density across environments and (ii) if the inclusion of within-field references would improve the estimation of GS-25 tiller density for determining N recommendations. Research was conducted at four site-gears in 1998 and 1999 using two wheat varieties, At three locations, a randomized replicated strip-plot design with three seeding rates was used. The fourth location was an on-farm test with one seeding rate. Spectral indices and individual NIR, R, G, and B digital counts were tested for correlation with tiller density at each site. Tiller density at GS 25 and NIR digital counts were round to be consistently correlated (0.67 less than or equal to r less than or equal to 0.87). The inclusion of within-field tiller density references resulted in a high correlation (r = 0.88) between relative tiller density and relative NIR digital counts across environments, Using relative NIR digital counts to predict tiller density would have resulted in the correct N recommendation 82% of the time.
引用
收藏
页码:783 / 789
页数:7
相关论文
共 36 条
[31]   Optimizing nitrogen application timing in no-till soft red winter wheat [J].
Weisz, R ;
Crozier, CR ;
Heiniger, RW .
AGRONOMY JOURNAL, 2001, 93 (02) :435-442
[32]   PHOTOGRAPHIC AND VIDEOGRAPHIC OBSERVATIONS FOR DETERMINING AND MAPPING THE RESPONSE OF COTTON TO SOIL-SALINITY [J].
WIEGAND, CL ;
RHOADES, JD ;
ESCOBAR, DE ;
EVERITT, JH .
REMOTE SENSING OF ENVIRONMENT, 1994, 49 (03) :212-223
[33]  
Wildman W. E., 1982, Remote sensing for resource management, P387
[34]  
WOOD GA, 1999, PRECISION AGR
[35]   Airborne Videography to Identify Spatial Plant Growth Variability for Grain Sorghum [J].
Yang C. ;
Anderson G.L. .
Precision Agriculture, 1999, 1 (1) :67-79
[36]   DECIMAL CODE FOR GROWTH STAGES OF CEREALS [J].
ZADOKS, JC ;
CHANG, TT ;
KONZAK, CF .
WEED RESEARCH, 1974, 14 (06) :415-421