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2021 Vol.66, Issue 4 Preview Page

Review Aticle

1 December 2021. pp. 452-458
Bucksch, A., J. Burridge, L. M. York, A. Das, E. Nord, J. S. Weitz, and J. P. Lynch. 2014. Image-based high-throughput field phenotyping of crop roots. Plant Physiol. 166(2) : 470-489. 10.1104/pp.114.24351925187526PMC4213080
Busch, J., I. A. Mendelssohn, B. Lorenzen, H. Brix, and S. Miao. 2006. A rhizotron to study root growth under flooded conditions tested with two wetland Cyperaceae. Flora. 201(6) : 429-439. 10.1016/j.flora.2005.08.007
Cai, G. J. Vanderborght, A. Klotzsche, J. Kruk, J. Neumann, N. Hermes, H. Vereecken. 2016. Vadose Zone J. 15(9) : vzj2016. 05.0043. 10.2136/vzj2016.05.0043
Chung, Y. S., U. Lee, S. Heo, R. R. Silva, C. I. Na, and Y. Kim. 2020. Image-based machine learning characterizes root nodule in soybean exposed to silicon. Front. Plant Sci. 11 : 520161. 10.3389/fpls.2020.52016133193467PMC7655541
Das, A., H. Schneider, J. Burridge, A. K. M. Ascanio, T. Wojciechowski, C. N. Topp, J. P. Lynch, J. S. Weitz, and A. Bucksch. 2015. Digital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomics. Plant Methods. 11(1) : 1-12. 10.1186/s13007-015-0093-326535051PMC4630929
Iversen, C. M., M. T. Murphy, M. F. Allen, J. Childs, D. M. Eissenstat, E. A. Lilleskov, T. M. Sarjala, V. L. Sloan, and P. F. Sullivan. 2012. Advancing the use of minirhizotrons in wetlands. Plant Soil. 352(1) : 23-39. 10.1007/s11104-011-0953-1
Kim, D. W., Y. Kim, K. H. Kim, H. J. Kim, and Y. S. Chung. 2019. Case study: Cost-effective weed patch detection by multi-spectral camera mounted on unmanned aerial vehicle in the buckwheat field. Korean J. Crop Sci. 64(2) : 159-164.
Kim, K. S., S. H. Kim, J. Kim, P. Tripathi, J. D. Lee, Y. S. Chung, and Y. Kim. 2021. A large root phenome dataset wide-opened the potential for underground breeding in soybean. Front. Plant Sci. 12 : 704239. 10.3389/fpls.2021.70423934421953PMC8374737
Kim, Y., Y. S. Chung, E. Lee, P. Tripathi, S. Heo, and K. H. Kim. 2020. Root response to drought stress in rice (Oryza sativa L.). Int. J. Mol. Sci. 21 : 1513. 10.3390/ijms2104151332098434PMC7073213
Lobet, G., X. Draye, and C. Périlleux. 2013. An online database for plant image analysis software tools. Plant Methods 9: 1-7. 10.1186/1746-4811-9-3824107223PMC3853381
Ma, J. F., S. Goto, K. Tamai, and M. Ichii, 2001. Role of root hairs and lateral roots in silicon uptake by rice. Plant Physiol. 127(4) : 1773-1780. 10.1104/pp.01027111743120PMC133580
Noh, T. K. and D. S. Kim. 2018. Weed research using plant image science. Weed Turf. Sci. 7(4) : 285-296.
Pang, W., W. T. Crow, J. E. Luc, R. McSorley, R. M. Giblin- Davis, K. E. Kenworthy, and J. K. Kruse. 2011. Comparison of water displacement and WinRHIZO software for plant root parameter assessment. Plant Dis. 95(10) : 1308-1310. 10.1094/PDIS-01-11-002630731688
Trachsel, S., S. M. Kaeppler, K. M. Brown, and J. P. Lynch, 2010. Shovelomics: high throughput phenotyping of maize (Zea mays L.) root architecture in the field. Plant Soil. 341 : 75-87. 10.1007/s11104-010-0623-8
Tripathi, P., S. Subedi, A. L. Khan. Y. S. Chung, and Y. Kim. 2021. Silicon effects on the root system of diverse crop species using root phenotyping technology. Plants. 10 : 885. 10.3390/plants1005088533924781PMC8145683
Wachsman, G., E. E. Sparks, P. N. B. 2015. Genes and networks regulating root anatomy and architecture. New Phytol. 208: 26-38. 10.1111/nph.1346925989832
Water, A., F. Liebisch, and A. Hund. 2015. Plant phenotyping: from bean weight to image analysis. Plant Method. 10.1186/s13007-015-0056-825767559PMC4357161
Yamaguchi, J. 2002. Measurement of root diameter in field-grown crop under a miscroscope without washing. Soil Sci. Plant Nut. 48(4) : 625-629. 10.1080/00380768.2002.10409248
Zhao, J., G. Bodner, B. Rewald, D. Leitner, K. A. Nagel, and A. Nakhforoosh, 2017. Root architecture simulation improves the inference from seedling root phenotyping towards mature root systems. J. Exp. Bot. 68 : 965-982. 10.1093/jxb/erw49428168270PMC5441853
  • Publisher :The Korean Society of Crop Science
  • Publisher(Ko) :한국작물학회
  • Journal Title :The Korean Journal of Crop Science
  • Journal Title(Ko) :한국작물학회지
  • Volume : 66
  • No :4
  • Pages :452-458
  • Received Date :2021. 10. 12
  • Revised Date :2021. 10. 25
  • Accepted Date : 2021. 11. 01