Early Detection of Zymoseptoria tritici in Winter Wheat by Infrared Thermography

Yuxuan Wang, Shamaila Zia-Khan, Sebastian Owusu-Adu, Thomas Miedaner and Joachim Müller
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Yuxuan Wang: Tropics and Subtropics Group (440e), Institute of Agricultural Engineering, Universität Hohenheim, Garbenstraße 9, 70593 Stuttgart, Germany
Shamaila Zia-Khan: Tropics and Subtropics Group (440e), Institute of Agricultural Engineering, Universität Hohenheim, Garbenstraße 9, 70593 Stuttgart, Germany
Sebastian Owusu-Adu: Tropics and Subtropics Group (440e), Institute of Agricultural Engineering, Universität Hohenheim, Garbenstraße 9, 70593 Stuttgart, Germany
Thomas Miedaner: State Plant Breeding Institute (720), Universität Hohenheim, Fruwirthstr. 21, 70593 Stuttgart, Germany
Joachim Müller: Tropics and Subtropics Group (440e), Institute of Agricultural Engineering, Universität Hohenheim, Garbenstraße 9, 70593 Stuttgart, Germany

Agriculture, 2019, vol. 9, issue 7, 1-11

Abstract: The use of thermography as a means of crop water status estimation is based on the assumption that a sufficient amount of soil moisture enables plants to transpire at potential rates resulting in cooler canopy than the surrounding air temperature. The same principle is applied in this study where the crop transpiration changes occur because of the fungal infection. The field experiment was conducted where 25 wheat genotypes were infected with Zymoseptoria tritici . The focus of this study was to predict the onset of the disease before the visual symptoms appeared on the plants. The results showed an early significant increase in the maximum temperature difference within the canopy from 1 to 7 days after inoculation (DAI). Biotic stress associated with increasing level of disease can be seen in the increasing average canopy temperature (ACT) and maximum temperature difference (MTD) and decreasing canopy temperature depression (CTD). However, only MTD ( p ≤ 0.01) and CTD ( p ≤ 0.05) parameters were significantly related to the disease level and can be used to predict the onset of fungal infection on wheat. The potential of thermography as a non-invasive high throughput phenotyping technique for early fungal disease detection in wheat was evident in this study.

Keywords: IR imaging; canopy temperature; maximum temperature difference; fungal infection; wheat genotypes (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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