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  1. Asian Journal of Plant Pathology
  2. Vol 11 (4), 2017
  3. 167-173
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Asian Journal of Plant Pathology

Year: 2017 | Volume: 11 | Issue: 4 | Page No.: 167-173

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Authors


Hala Abdel  Wahab

Hala Abdel Wahab

LiveDNA: 20.16685

Mohamed Aboelghar

Country: Egypt

Abdelraouf Massoud Ali

Country: Egypt

Mona Yones

Country: Egypt

Keywords


  • Botrytis cinerea
  • molecular diagnostic
  • remote sensing
  • spectral diagnostic
  • spectral variation
Research Article

Spectral and Molecular Studies on Gray Mold in Strawberry

Hala Abdel Wahab Hala Abdel  Wahab's LiveDNA, Mohamed Aboelghar, Abdelraouf Massoud Ali and Mona Yones
Background and Objective: Gray mold is a serious problem in strawberry production worldwide. Early diagnostic of diseased strawberry fruits allows export decision. The aim of the study was to test the capability of spectral measurement for detecting the asymptomatic Botrytis infection. Materials and Methods: Asymptomatic and symptomatic samples of 25 strawberry fruits were measured for gray mold using two reliable systems, qPCR and spectroradiometer, to detect the causal pathogen, Botrytis cinerea. Results: Molecular results showed the presence of gray mold in many asymptomatic fruits. Moreover, spectral analysis demonstrated a higher reflectance in healthy fruit than that of infected ones throughout the visible near infra red (VNIR) spectral range, while the short wave infra red (SWIR) spectral zone showed different degrees of gray mold infection. Conclusion: The VNIR found to be the best spectral zone that could differentiate between healthy and infected strawberry fruits due to infection impact on the cellular pigments of the fruit, while SWIR was the best spectral zone to classify infection degrees because of the changes in cellular structure and water content due to infection.
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How to cite this article

Hala Abdel Wahab, Mohamed Aboelghar, Abdelraouf Massoud Ali and Mona Yones, 2017. Spectral and Molecular Studies on Gray Mold in Strawberry. Asian Journal of Plant Pathology, 11: 167-173.

URL: https://scialert.net/abstract/?doi=ajppaj.2017.167.173

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