, Volume 236, Issue 6, pp 1943–1954 | Cite as

Extraction of quantitative characteristics describing wheat leaf pubescence with a novel image-processing technique

  • Mikhail A. Genaev
  • Alexey V. Doroshkov
  • Tatyana A. Pshenichnikova
  • Nikolay A. Kolchanov
  • Dmitry A. AfonnikovEmail author
Emerging Technologies


Leaf pubescence (hairiness) in wheat plays an important biological role in adaptation to the environment. However, this trait has always been methodologically difficult to phenotype. An important step forward has been taken with the use of computer technologies. Computer analysis of a photomicrograph of a transverse fold line of a leaf is proposed for quantitative evaluation of wheat leaf pubescence. The image-processing algorithm is implemented in the LHDetect2 software program accessible as a Web service at The results demonstrate that the proposed method is rapid, adequately assesses leaf pubescence density and the length distribution of trichomes and the data obtained using this method are significantly correlated with the density of trichomes on the leaf surface. Thus, the proposed method is efficient for high-throughput analysis of leaf pubescence morphology in cereal genetic collections and mapping populations.


Common wheat Computer image analysis High-throughput phenotyping Leaf pubescence Trichomes 



Mean absolute error


Mean absolute percentage error



Analyses were performed using equipment at the Interinstitutional Shared Center for Microscopic Analysis of Biological Objects. This work was supported by programs Б.25 and A.II.6 from the Russian Academy of Sciences, Scientific School 5278.2012.4, and RFBR grant 11-04-91397. We are thankful to Vladimir Filonenko for translating this manuscript from Russian to English, and to Mikhail Ponomarenko for helpful comments.

Supplementary material

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Supplementary material 1 (PDF 160 kb)
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Supplementary material 2 (PDF 245 kb)
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Supplementary material 4 (XLS 85 kb)
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Supplementary material 5 (PDF 263 kb)


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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Mikhail A. Genaev
    • 1
  • Alexey V. Doroshkov
    • 1
  • Tatyana A. Pshenichnikova
    • 2
  • Nikolay A. Kolchanov
    • 1
    • 3
  • Dmitry A. Afonnikov
    • 1
    • 3
    Email author
  1. 1.Laboratory of Evolutionary Bioinformatics and Theoretical Genetics, Department of Systems BiologyInstitute of Cytology and Genetics SB RASNovosibirskRussia
  2. 2.Department of the Genetic Resources of Experimental Plants, Sector of Genetics of Grain QualityInstitute of Cytology and Genetics SB RASNovosibirskRussia
  3. 3.Chair of Informational BiologyNovosibirsk State UniversityNovosibirskRussia

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