Planta

, Volume 236, Issue 6, pp 1943–1954

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. Afonnikov
Emerging Technologies

DOI: 10.1007/s00425-012-1751-6

Cite this article as:
Genaev, M.A., Doroshkov, A.V., Pshenichnikova, T.A. et al. Planta (2012) 236: 1943. doi:10.1007/s00425-012-1751-6

Abstract

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 http://wheatdb.org/lhdetect2. 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.

Keywords

Common wheatComputer image analysisHigh-throughput phenotypingLeaf pubescenceTrichomes

Abbreviations

MAE

Mean absolute error

MAPE

Mean absolute percentage error

Supplementary material

425_2012_1751_MOESM1_ESM.pdf (160 kb)
Supplementary material 1 (PDF 160 kb)
425_2012_1751_MOESM2_ESM.pdf (246 kb)
Supplementary material 2 (PDF 245 kb)
425_2012_1751_MOESM3_ESM.xls (90 kb)
Supplementary material 3 (XLS 90 kb)
425_2012_1751_MOESM4_ESM.xls (86 kb)
Supplementary material 4 (XLS 85 kb)
425_2012_1751_MOESM5_ESM.pdf (221 kb)
Supplementary material 5 (PDF 263 kb)

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
  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