Non-Invasive Spectral Phenotyping Methods can Improve and Accelerate Cercospora Disease Scoring in Sugar Beet Breeding

Jansen, Marcus; Bergsträsser, Sergej; Müller-Linow, Mark; Schmittgen, Simone; Rascher, Uwe

doi:10.3390/agriculture4020147

Journal Article

FZJ-2014-03458

Non-Invasive Spectral Phenotyping Methods can Improve and Accelerate Cercospora Disease Scoring in Sugar Beet Breeding

Jansen, M. (Corresponding Author)FZJ* ; Bergsträsser, S.FZJ* ; Schmittgen, S.FZJ* ; Müller-Linow, M.FZJ* ; Rascher, U.FZJ*

2014
MDPI AG Basel

Agriculture 4(2), 147 - 158 (2014) [10.3390/agriculture4020147]

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Please use a persistent id in citations: http://hdl.handle.net/2128/11521 doi:10.3390/agriculture4020147

Abstract: Breeding for Cercospora resistant sugar beet cultivars requires field experiments for testing resistance levels of candidate genotypes in conditions that are close to agricultural cultivation. Non-invasive spectral phenotyping methods can support and accelerate resistance rating and thereby speed up breeding process. In a case study, experimental field plots with strongly infected beet genotypes of different resistance levels were measured with two different spectrometers. Vegetation indices were calculated from measured wavelength signature to determine leaf physiological status, e.g., greenness with the Normalized Differenced Vegetation Index (NDVI), leaf water content with the Leaf Water Index (LWI) and Cercospora disease severity with the Cercospora Leaf Spot Index (CLSI). Indices values correlated significantly with visually scored disease severity, thus connecting the classical breeders’ scoring approach with advanced non-invasive technology.

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