Comparison of visual and multispectral radiometric disease evaluations of Cercospora leaf spot of sugar beet

被引:72
|
作者
Steddom, K [1 ]
Bredehoeft, MW
Khan, M
Rush, CM
机构
[1] Texas Agr Expt Stn, Amarillo, TX 79106 USA
[2] So Minnesota Beet Sugar Cooperat, Renville, MN 56284 USA
[3] N Dakota State Univ, Fargo, ND 58105 USA
[4] Univ Minnesota, Fargo, ND USA
关键词
cropscan; remote sensing;
D O I
10.1094/PD-89-0153
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Visual assessments of disease severity are currently the industry standard for quantification of the necrosis caused by Cercospora beticola on sugar beet (Beta vulgaris) leaves. We compared the precision, reproducibility, and sensitivity of a multispectral radiometer to visual disease assessments. Individual wavebands front the radiometer. as well as vegetative indices calculated from the individual wavebands, were compared with visual disease estimates from two raters at each of two research sites. Visual assessments and radiometric measurements were partially repeated immediately after the first assessment at each site. Precision. as measured by reduced coefficients of variation, was improved for all vegetative indices and individual waveband radiometric measures compared with visual assessments. Visual assessments, near-infrared single-waveband reflectance values, and four of the six vegetative indices had high treatment F values. suggesting greater sensitivity at discriminating disease severity levels. Reproducibility, as measured by a test-retest method, was high for visual assessments, single-waveband reflectance at 810 nm, and several of the vegetative indices. The use of radiometric methods has the potential to increase the precision of assessments of Cercospora leaf spot foliar symptoms of sugar beet while eliminating potential bias. We recommend this method be used in conjunction with visual disease assessments to improve precision of assessments and guard against potential bias in evaluations.
引用
收藏
页码:153 / 158
页数:6
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