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

Agriculture

Marcus Jansen¹  Sergej Bergsträsser¹  Simone Schmittgen¹  Mark Müller-Linow¹ 

[1] Forschungszentrum Jülich GmbH, Institut für Bio- und Geowissenschaften, IBG-2, Pflanzenwissenschaften, Wilhelm-Johnen-Straße, Jülich 52425, Germany; E-Mails:

关键词: phenotyping;    vegetation index;    disease scoring;    Cercospora beticola;    resistance breeding;   

DOI  :  10.3390/agriculture4020147

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.