期刊
JOURNAL OF VIROLOGICAL METHODS
卷 167, 期 2, 页码 140-145出版社
ELSEVIER
DOI: 10.1016/j.jviromet.2010.03.024
关键词
Sugarcane; Sugarcane yellow leaf virus; Remote sensing; Hyperspectral; Leaf pigments
Sugarcane infected with Sugarcane yellow leaf virus (SCYLV) rarely produces visual symptoms until late in the growing season High-resolution, hyperspectral reflectance data from SCYLV-infected and noninfected leaves of two cultivars, LCP 85-384 and Ho 95-988, were measured and analyzed on 13 July, 12 October, and 4 November 2005 All plants were asymptomatic Infection was determined by reverse transcriptase-polymerase chain reaction (RT-PCR) analysis Results from discriminant analysis showed that leaf reflectance was effective at predicting SCYLV infection in 73% of the cases in both cultivars using resubstitution and 63% and 62% in LCP 85-384 and Ho 95-988, respectively, using cross-validation Predictive equations were improved when data from sampling dates were analyzed individually SCYLV infection influenced the concentration of several leaf pigments including violaxanthin, beta-carotene, neoxanthin. and chlorophyll a Pigment data were effective at predicting SCYLV infection in 80% of the samples in the combined data set using the derived discriminant function with resubstitution, and 71% with cross-validation Although further research is needed to improve the accuracy of the predictive equations, the results of this study demonstrate the potential application of hyperspectral remote sensing as a rapid, field-based method of identifying SCYLV-infected sugarcane plants prior to symptom expression Published by Elsevier B V
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据