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Agriculture 2014, 4(2), 147-158; doi:10.3390/agriculture4020147
Article

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

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Received: 27 March 2014; in revised form: 25 April 2014 / Accepted: 29 April 2014 / Published: 8 May 2014
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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.
Keywords: phenotyping; vegetation index; disease scoring; Cercospora beticola; resistance breeding phenotyping; vegetation index; disease scoring; Cercospora beticola; resistance breeding
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Jansen, M.; Bergsträsser, S.; Schmittgen, S.; Müller-Linow, M.; Rascher, U. Non-Invasive Spectral Phenotyping Methods can Improve and Accelerate Cercospora Disease Scoring in Sugar Beet Breeding. Agriculture 2014, 4, 147-158.

AMA Style

Jansen M, Bergsträsser S, Schmittgen S, Müller-Linow M, Rascher U. Non-Invasive Spectral Phenotyping Methods can Improve and Accelerate Cercospora Disease Scoring in Sugar Beet Breeding. Agriculture. 2014; 4(2):147-158.

Chicago/Turabian Style

Jansen, Marcus; Bergsträsser, Sergej; Schmittgen, Simone; Müller-Linow, Mark; Rascher, Uwe. 2014. "Non-Invasive Spectral Phenotyping Methods can Improve and Accelerate Cercospora Disease Scoring in Sugar Beet Breeding." Agriculture 4, no. 2: 147-158.

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