Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species

被引:59
作者
Alisaac, E. [1 ]
Behmann, J. [1 ]
Kuska, M. T. [1 ]
Dehne, H. -W. [1 ]
Mahlein, A. -K. [1 ,2 ]
机构
[1] Rheinische Friedrich Wilhelms Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Plant Dis & Plant Protect, Nussallee 9, D-53115 Bonn, Germany
[2] Inst Sugar Beet Res IfZ, Holtenser Landstr 77, D-37079 Gottingen, Germany
关键词
Wheat; F; graminearum; culmorum; Phenotyping; Hyperspectral imaging; Spectral signature; Spectral vegetation indices (SVIs); Support vector machine (SVM); AUDPC; Non-metric multidimensional scaling (NMDS); PLANT-DISEASE; GRAMINEARUM; LEAF; INFECTION; INDEXES; IMPACT; EPIDEMIOLOGY; REFLECTANCE; SELECTION; SPIKELET;
D O I
10.1007/s10658-018-1505-9
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Interactions of Fusarium species with different wheat varieties differ in their temporal dynamics and symptom appearance. Reliable and objective approaches for monitoring processes during infection are demanded for plant phenotyping and disease rating. This study presents an automated method to phenotype wheat varieties to Fusarium head blight (FHB) using hyperspectral sensors. In time-series experiments, the optical properties of spikes infected with F. graminearum or F. culmorum were recorded. Two hyperspectral cameras, in visible and near-infrared (VIS-NIR, 400-1000nm) and shortwave-infrared (SWIR, 1000-2500nm) captured the most relevant bands for pigments, cell structure, water and further compounds. Correlations between disease severity (DS), spike weight, spectral bands and vegetation indices were investigated. Following, the detectability of infections was assessed by Support Vector Machine (SVM) classifier. A variety ranking based on AUDPC was performed and compared to a fully-automated approach using Non-metric Multi-Dimensional Scaling (NMDS). High correlation was found between the spectral signature and DS in 430-525nm, 560-710nm and 1115-2500nm. All indices from the VIS-NIR showed high correlation with DS and, for the first time, this was also confirmed for three indices from the SWIR: NDNI, CAI and MSI. Using SVM, differentiation between healthy and infected spikes was possible (acc. > 0.76). Furthermore, the possibility to differentiate between F. graminearum and F. culmorum infected spikes has been verified. The NMDS approach was able to reproduce accurately the variety ranking and outlines the potential of hyperspectral imaging to phenotype the variety susceptibility for improved breeding processes.
引用
收藏
页码:869 / 884
页数:16
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