Leucker Marlene, Wahabzada Mirwaes, Kersting Kristian, Peter Madlaina, Beyer Werner, Steiner Ulrike, Mahlein Anne-Katrin, Oerke Erich-Christian
Institute for Crop Science and Resource Conservation (INRES) - Phytomedicine, University of Bonn, Meckenheimer Allee 166a, 53115 Bonn, Germany.
Department of Computer Science, TU Dortmund University, Otto-Hahn-Str. 14, 44227 Dortmund, Germany.
Funct Plant Biol. 2016 Feb;44(1):1-9. doi: 10.1071/FP16121.
The quantitative resistance of sugar beet (Beta vulgaris L.) against Cercospora leaf spot (CLS) caused by Cercospora beticola (Sacc.) was characterised by hyperspectral imaging. Two closely related inbred lines, differing in two quantitative trait loci (QTL), which made a difference in disease severity of 1.1-1.7 on the standard scoring scale (1-9), were investigated under controlled conditions. The temporal and spatial development of CLS lesions on the two genotypes were monitored using a hyperspectral microscope. The lesion development on the QTL-carrying, resistant genotype was characterised by a fast and abrupt change in spectral reflectance, whereas it was slower and ultimately more severe on the genotype lacking the QTL. An efficient approach for clustering of hyperspectral signatures was adapted in order to reveal resistance characteristics automatically. The presented method allowed a fast and reliable differentiation of CLS dynamics and lesion composition providing a promising tool to improve resistance breeding by objective and precise plant phenotyping.
利用高光谱成像技术对甜菜(Beta vulgaris L.)对甜菜生尾孢(Cercospora beticola (Sacc.))引起的叶斑病(CLS)的定量抗性进行了表征。在可控条件下,研究了两个紧密相关的自交系,它们在两个数量性状位点(QTL)上存在差异,在标准评分量表(1-9)上,病害严重程度相差1.1-1.7。使用高光谱显微镜监测了两种基因型上CLS病斑的时空发展。携带QTL的抗性基因型上的病斑发展特征是光谱反射率快速且突然变化,而在缺乏QTL的基因型上病斑发展较慢且最终更严重。采用了一种有效的高光谱特征聚类方法,以自动揭示抗性特征。所提出的方法能够快速、可靠地区分CLS动态和病斑组成,为通过客观、精确的植物表型分析改进抗性育种提供了一个有前景的工具。