Version 1
: Received: 6 January 2019 / Approved: 8 January 2019 / Online: 8 January 2019 (11:48:41 CET)
How to cite:
Cambaza, E.; Koseki, S.; Kawamura, S. RGB Imaging as Tool to Analyze the Growth of Fusarium graminearum in Infected Oats (Avena sativa) and Rice (Oryza sativa). Preprints2019, 2019010069. https://doi.org/10.20944/preprints201901.0069.v1
Cambaza, E.; Koseki, S.; Kawamura, S. RGB Imaging as Tool to Analyze the Growth of Fusarium graminearum in Infected Oats (Avena sativa) and Rice (Oryza sativa). Preprints 2019, 2019010069. https://doi.org/10.20944/preprints201901.0069.v1
Cambaza, E.; Koseki, S.; Kawamura, S. RGB Imaging as Tool to Analyze the Growth of Fusarium graminearum in Infected Oats (Avena sativa) and Rice (Oryza sativa). Preprints2019, 2019010069. https://doi.org/10.20944/preprints201901.0069.v1
APA Style
Cambaza, E., Koseki, S., & Kawamura, S. (2019). RGB Imaging as Tool to Analyze the Growth of <em>Fusarium graminearum</em> in Infected Oats (<em>Avena sativa</em>) and Rice (<em>Oryza sativa</em>). Preprints. https://doi.org/10.20944/preprints201901.0069.v1
Chicago/Turabian Style
Cambaza, E., Shigenobu Koseki and Shuso Kawamura. 2019 "RGB Imaging as Tool to Analyze the Growth of <em>Fusarium graminearum</em> in Infected Oats (<em>Avena sativa</em>) and Rice (<em>Oryza sativa</em>)" Preprints. https://doi.org/10.20944/preprints201901.0069.v1
Abstract
Fusarium graminearum is a cereal pathogen responsible for economic losses worldwide every year. An understanding of its growth is key to control its infection, but current growth models are limited because their size-based approach provides little information about the mold's metabolism. Recently, a RGB (red, green and blue) imaging analysis demonstrated the predictability of F. graminearum color change as it grows in yeast extract agar (YEA). This study aimed to verify the same phenomenon in oats (aw = 0.94, 0.97 and 0.99) and rice (aw = 0.97, 0.98 and 0.99). Photos were taken using a professional camera and a smartphone (iPhone 6) after incubation and during the subsequent 16 days, and average RGB was quantified using ImageJ software. The photos showed very similar color variations, regardless of the type of grain or aw. The mold first adopted a k-selection strategy by growing as a mycelium and then a r-selection strategy, increasing spore production. All RGB channels showed positive Pearson correlations between them (p < 0.001) and it was possible to design a model showing two lag phases, the first prior to a mycelial phase and the second prior to a sporular phase at the end of the experiment.
Keywords
Fusarium graminearum; RGB; oats; rice; growth
Subject
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
