Details

Autor(en) / Beteiligte

• Li, Xiao-Long
• Ma, Zhan-Hong
• Zhao, Long-Lian
• Li, Jun-Hui
• Wang, Hai-Guang

Titel

Detection of Puccinia strii formis f. sp. tritici latent infections in wheat leaves using near infrared spectroscopy technology

Ist Teil von

• Guang pu xue yu guang pu fen xi, 2014-07, Vol.34 (7), p.1853

Ort / Verlag

China

Erscheinungsjahr

2014

Quelle

MEDLINE

Beschreibungen/Notizen

• To realize the early detection of P. strii formis f. sp. tritici latent infections in wheat leaves while no disease symptoms appear, a qualitative model for identification of the wheat leaves in the incubation period of stripe rust was built using near infrared reflectance spectroscopy (NIRS) technology combined with qualitative partial least squares (DPLS). In this study, 30 leaf samples infected with P. strii formis f. sp. tritici were collected each day during the eleven-day incubation period. And 30 healthy leaf samples and 30 leaf samples showing disease symptoms infected with P. strii formis f. sp. tritici, were also collected as controls. In total, there were 390 leaf samples that were divided into thirteen categories. Near infrared spectra of 390 leaf samples were obtained using MPA spectrometer and then a model to identify the categories of wheat leaves was built using cross verification method. The effects of different spectral ranges, samples for building the model, preprocessing methods of spectra