Detecting Drought Stress in Soybean Plants Using Hyperspectral Fluorescence Imaging |
Mo, Changyeun
(National Institute of Agricultural Sciences, Rural Development Administration)
Kim, Moon S. (Environmental Microbiology and Food Safety Laboratory, Agricultural Research Service, US Department of Agriculture) Kim, Giyoung (National Institute of Agricultural Sciences, Rural Development Administration) Cheong, Eun Ju (Division of Forest Sciences, College of Forest and Environment Sciences, Kangwon National University) Yang, Jinyoung (Crop Systems and Global Change Laboratory, Agricultural Research Service, US Department of Agriculture) Lim, Jongguk (National Institute of Agricultural Sciences, Rural Development Administration) |
1 | Buschmann, C. and H. K. Lichtenthaler. 1998. Principles and characteristics of multi-colour fluorescence imaging of plants. Journal of Plant Physiology 152:297-314. DOI |
2 | Caires, A. R. L., M. D. Scherer, T. S. B. Santos, B. C. A. Pontim, W. L. Gavassoni and S. L. Oliveira. 2010. Water Stress Response of Conventional and Transgenic Soybean Plants Monitored by Chlorophyll a Fluorescence. Journal of Fluorescence 20:645-649. DOI |
3 | Chang, A., J. Y. Choi, S. W. Lee, D. H. Kim and S. C. Bae. 2011. Agricultural biotechnology: Opportunities and challenges associated with climate change. Korean Journal of Plant Biotechnology 38:117-124. DOI |
4 | Dahn, H. G., K. P. Gunther and W. Ludeker. 1992. Characterisation of drought stress of maize and wheat canopies by means of spectral resolved laser induced fluorescence. Advances in Remote Sensing 1:12-19. |
5 | Duan, L. F., W. N. Yang, C. L. Huang and Q. Liu. 2011. A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice. Plant Methods 7:44. DOI |
6 | Gitelson, A. A., C. Buschmann and H. K. Lichtenthaler. 1998. Leaf chlorophyll fluorescence corrected for reabsorption by means of absorption and reflectance measurements. Journal of Plant Physiology 152:283-296. DOI |
7 | Gross, J. 1991. Pigments in Vegetables: Chlorophylls and Carotenoids. New York, N.Y.: Van Nostrand Reinhold. |
8 | Houle, D., D. R. Govindaraju and S. Omholt. 2010. Phenomics: the next challenge. Nature Reviews Genetics 11(12):855-866. DOI |
9 | Kim, M. S., Y. R. Chen and P. M. Mehl. 2001. Hyperspectral reflectance and fluorescence imaging system for food quality and safety. Transactions of the American Society of Agricultural Engineers 44(3):721-729. |
10 | Manickavasagan, A., D. Jayas and N. White. 2008. Thermal imaging to detect infestation by cryptolestes ferrugineus inside wheat kernels. Journal of Stored Products Research 44:186-192. DOI |
11 | Nguyen, H. T. and B. -W. Lee. 2006. Assessment of rice leaf growth and nitrogen status by hyperspectral canopy reflectance and partial least square regression. European Journal of Agronomy 24:349-356. DOI |
12 | Rahaman, Md. M., D. Chen, Z. Gillani, C. Klukas and M. Chen. 2015. Advanced phenotyping and phenotype data analysis for the study of plant growth and development. Frontiers in Plant Science 6(619):1-15. |
13 | Rousseau, C., E. Belin, E. Bove, D. Rousseau, F. Fabre, R. Berruyer, J. Guillaumès, C. Manceau, M. A. Jacques and T. Boureau. 2013. High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis. Plant Methods 9:17. DOI |
14 | Woo, N. S., M. R. Badger and B. J. Pogson. 2008. A rapid, non-invasive procedure for quantitative assessment of drought survival using chlorophyll fluorescence. Plant Methods 4:27. DOI |
15 | Shibayama, M., T. Sakamoto, E. Takada, A. Inoue, K. Morita, T. Yamaguchi, W. Takahashi and A. Kimura. 2011. Regression-based models to predict rice leaf area index using biennial fixed point continuous observations of near infrared digital images. Plant Production Science 14:365-376. DOI |