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@ARTICLE{Jansen:154050,
      author       = {Jansen, Marcus and Bergsträsser, Sergej and Schmittgen,
                      Simone and Müller-Linow, Mark and Rascher, Uwe},
      title        = {{N}on-{I}nvasive {S}pectral {P}henotyping {M}ethods can
                      {I}mprove and {A}ccelerate {C}ercospora {D}isease {S}coring
                      in {S}ugar {B}eet {B}reeding},
      journal      = {Agriculture},
      volume       = {4},
      number       = {2},
      issn         = {2077-0472},
      address      = {Basel},
      publisher    = {MDPI AG},
      reportid     = {FZJ-2014-03458},
      pages        = {147 - 158},
      year         = {2014},
      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.},
      cin          = {IBG-2},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {89582 - Plant Science (POF2-89582)},
      pid          = {G:(DE-HGF)POF2-89582},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.3390/agriculture4020147},
      url          = {https://juser.fz-juelich.de/record/154050},
}