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Case study: cost-effective image analysis method to study drought stress of soybean in early vegetative stage

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Abstract

There are many applications of image-based analysis for phenotyping agronomic traits. However, they are inappropriate or difficult to operate due to lack of time, equipment, and financial limits. In this report, we demonstrate fast and reliable phenotyping methods to screen drought tolerance in soybeans (Glycine max L.) using the green area of the canopy from the image sensor. Vertical images obtained from the commercial digital camera and processed on free software called Canopeo were used for initial screening for drought stress evaluation. As a result, this method positively correlated with the number of nodes, which is the indicator of the yield components. It also showed that the green area of the canopy has significantly been affected by drought, and varieties than the number of nodes. This simple method using the digital images obtained in a cost-effective manner would be useful for initial drought evaluations.

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Acknowledgements

The authors gratefully acknowledge to the 2021 scientific promotion program by Jeju National University. Also, we thank Sustainable Agriculture Research Institute (SARI) in Jeju National University for providing the experimental facilities.

Funding

This research was supported by the Next-Generation BioGreen 21 Program (Project No. PJ01451203), Rural Development Administration, Republic Korea and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2019R1A6A1A11052070).

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Author notes

  1. Jaeyoung Kim and Ju-Kyung Yu have contributed equally to this work.

Authors and Affiliations

  1. Department of Plant Resources and Environment, Jeju National University, Jeju, 63243, Republic of Korea

    Jaeyoung Kim, Jieun Park, Ji-Hyeon Jung & Yong Suk Chung

  2. Seeds Research, Syngenta Crop Protection LLC, Research Triangle Park, Durham, NC, 27709, USA

    Ju-Kyung Yu

  3. Institute of Mathematics and Statistics, Federal University of Goias, Goiânia, 74001-970, Brazil

    Renato Rodrogues

  4. Plant Bioscience, School of Applied Bioscience, Kyungpook National University, Daegu, 41566, Republic of Korea

    Yoonha Kim

  5. Department of Food Science Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea

    Sung Taeg Kang

  6. National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju, 54874, Republic of Korea

    Kyung-Hwan Kim, JeongHo Baek & Eungyung Lee

Authors
  1. Jaeyoung Kim
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  4. Yoonha Kim
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  11. Yong Suk Chung
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Contributions

Conceptualization, YSC, YK, STK and KHK: validation, SCY and YSC: formal analysis, RR: data curation, JP, JHJ, JB, and EL: writing, JK, and JKY: All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Yong Suk Chung.

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Kim, J., Yu, JK., Rodrogues, R. et al. Case study: cost-effective image analysis method to study drought stress of soybean in early vegetative stage. J. Crop Sci. Biotechnol. 25, 33–37 (2022). https://doi.org/10.1007/s12892-021-00110-8

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  • DOI: https://doi.org/10.1007/s12892-021-00110-8

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