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Joalland S, Screpanti C, Liebisch F, et al. Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of . Plant Methods. 2017;13:73doi: 10.1186/s13007-017-0223-1.
Joalland, S., Screpanti, C., Liebisch, F., Varella, H. V., Gaume, A., & Walter, A. (2017). Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of . Plant methods, 1373. https://doi.org/10.1186/s13007-017-0223-1
Joalland, Samuel, et al. "Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of ." Plant methods vol. 13 (2017): 73. doi: https://doi.org/10.1186/s13007-017-0223-1
Joalland S, Screpanti C, Liebisch F, Varella HV, Gaume A, Walter A. Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of . Plant Methods. 2017 Sep 13;13:73. doi: 10.1186/s13007-017-0223-1. eCollection 2017. PMID: 28924448; PMCID: PMC5598052.
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Plant Methods. 2017 Sep 13;13:73. doi: 10.1186/s13007-017-0223-1. eCollection 2017.

Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of .

Plant methods

Samuel Joalland, Claudio Screpanti, Frank Liebisch, Hubert Vincent Varella, Alain Gaume, Achim Walter

Affiliations

  1. Syngenta Crop Protection Münchwillen AG, Schaffhauserstrasse, 4332 Stein, Switzerland.
  2. Institute of Agricultural Sciences, ETH Zürich, Universitätstrasse 2, 8092 Zurich, Switzerland.

PMID: 28924448 PMCID: PMC5598052 DOI: 10.1186/s13007-017-0223-1

Abstract

BACKGROUND: Phenotyping technologies are expected to provide predictive power for a range of applications in plant and crop sciences. Here, we use the disease pressure of Beet Cyst Nematodes (BCN) on sugar beet as an illustrative example to test the specific capabilities of different methods. Strong links between the above and belowground parts of sugar beet plants have made BCN suitable targets for use of non-destructive phenotyping methods. We compared the ability of visible light imaging, thermography and spectrometry to evaluate the effect of BCN on the growth of sugar beet plants.

RESULTS: Two microplot experiments were sown with the nematode susceptible cultivar

CONCLUSION: In this paper we compare the use of visible imaging, thermography and spectrometry over two cultivars and 2 years under outdoor conditions. The three different techniques have their specific strengths in identifying BCN symptoms according to the type of cultivars and the growth stages of the sugar beet plants. Early detection of nematicide benefit and high yield predictability using visible imaging and spectrometry suggests promising applications for agricultural research and precision agriculture.

Keywords: Nematode; Plant phenotyping; Root; Semi-field; Spectrometry; Sugar beet; Thermography; Visible imaging

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