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Dr. Sindhuja Sankaran Phenomics Lab

Publications

Refereed Publications

2020

  • Ma, Yu., Marzougui, A., Coyne, C.J., Sankaran, S., Main, D., Porter, L.D., Mugabe, D., Smitchger, J.A., Zhang, C., Amin, M.D., Rasheed, N., Ficklin, S., and McGee, R.J. 2020. Dissecting the genetic architecture of Aphanomyces root rot resistance in lentil by QTL mapping and genome-wide association. International Journal of Molecular Sciences. International Journal of Molecular Sciences, 21 (6): 2129.
  • Zhang, C., Craine, W.A., McGee, R.J., Vandemark, G.J., Davis, J.B., Brown, J., Hulbert, S.H., and Sankaran, S. 2020. Image-based phenotyping of flowering intensity in cool-season crops. Sensors, 20 (5): 1450.
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Book Chapters

  • Sankaran, S., Khot, L.R., and Ehsani, R. 2019. Applies remote sensing systems in phytopathology. In ‘Precision phytopathology: Frontiers of Science’, Editors: Edson Luiz Furtado, Sérgio Florentino Pascholati, Waldir Cintra de Jesus Junior, Willian Bucker Moraes, Fundação de Estudos e Pesquisas Agrícolas e Florestais (FEPAF), Brazil, pp. 25-45.
  • Sankaran, S., Zhang, C., and Marzougui, A. 2017. Sensing for stress detection and high-throughput phenotyping in precision horticulture. In ‘Automation in tree fruit production: Principles and practice’, Editor: Zhang Q. CABI, pp. 28-42.
  • Sankaran, S., Khot, L.R., and Ehsani, R. 2014. Mid- and Far-infrared Imaging. In ‘Imaging with Electromagnetic Spectrum: Applications in Food and Agriculture’. Editors: Alahakoon, M.K., Annamalai, M., and Jayasuriya, H.P.W. Springer, 129-146.
  • Sankaran, S., and Ehsani, R. 2014. Introduction to the Electromagnetic Spectrum. In ‘Imaging with Electromagnetic Spectrum: Applications in Food and Agriculture’. Editors: Alahakoon, M.K., Annamalai, M., and Jayasuriya, H.P.W. Springer, 1-15.
  • Aksenov, A., Guaman, N.A.V., Sankaran, S., Fung, A.G., Pasamontes, A., Frederico, M., Cheung, W.H.K., Ehsani, R., Dandekar, A.M., and Davis, C.E. 2013. Volatile organic compounds (VOCs) for noninvasive plant diagnostics. In ‘Pest Management with Natural Products’. Editors, J.J. Beck, J.R. Coats, S.O. Duke, M.E. Koivunen. ACS Publications, doi: 10.1021/bk-2013-1141.fw001, pp. 73-95.
  • Van Leeuwen, J. (Hans), Rasmussen, M.L., Sankaran, S., Koza, C.R., Erickson, D.T., Mitra, D., and Jin, B. 2011. Fungal treatment of crop processing wastewaters with value-added co-products. In ‘Sustainable Bioenergy and Bioproducts’. Eds: Kasthurirangan Gopalakrishnan, Hans van Leeuwen, Robert C. Brown. Chapter II, Springer-Verlag Inc., pp. 13-44.

Proceeding Publications/Reports

  • Zhang, C., Craine, W., Davis, J. B., Khot, L. R., Marzougui, A., Brown, J., Hulbert, S. H., and Sankaran, S. 2018. Detection of canola flowering using proximal and aerial remote sensing techniques. Proceeding SPIE 10664, Autonomous air and ground sensing systems for agricultural optimization and phenotyping (III).
  • Zhang, C., Pumphrey, M., Zhou, J., Gao, H., Zhang, Q., and Sankaran, S. 2017. Development of automated high-throughput phenotyping system for controlled environment studies, Paper No. 1700581, 2017 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting (AIM), Spokane, WA.
  • Sankaran, S., Carter, A.H., Slaughter, D.C., Kirchhoff, H., Okamuro, J.K., Poland, J., and Kalcsits, L.A. 2016. Conference Summary Report on ‘Advances in Field-Based High-throughput Phenotyping and Data Management: Grains and Specialty Crops’.
  • Sankaran,  S., Khot, L.R., Quirós, J., Vandemark, G.J., and McGee, R.J. 2016. UAV-based high-throughput phenotyping in legume crops, Proceeding SPIE 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 98660G (May 17, 2016); doi: http://dx.doi.org/10.1117/12.2228550.
  • Zúñiga, C.E., Khot, L.R., Jacoby, P., and Sankaran, S. 2016. Remote sensing based water-use efficiency evaluation in sub-surface irrigated wine grape vines. Proceeding SPIE 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 98660O (May 17, 2016); doi: http://dx.doi.org/10.1117/12.2228791.
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