Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 22,
  • Issue 6,
  • pp. 433-438
  • (2014)

Technical Note: Handheld near Infared Spectroscopy for the Prediction of Leaf Physiological Status in Tree Seedlings

Not Accessible

Your library or personal account may give you access

Abstract

Near infrared spectra obtained from leaf surfaces of Eucalyptus grandis seedlings were calibrated against physiological measurements of plant water stress, namely: relative water content, leaf water potential and stomatal conductance. In a controlled environment facility, spectral data were obtained from both abaxial and adaxial leaf surfaces as well as upper and lower leaves in the stem. The strongest coefficients of determination using cross-validation were r2CV = 0.85 for relative water content, r2CV = 0.74 for leaf water potential and r2CV = 0.80 for stomatal conductance. The use of a portable NIR instrument enabled the rapid assessment of physiological status of seedlings and would enable in situ, non-destructive, high-throughput monitoring of drought and recovery in the field. This would be particularly useful for non-destructive measurement in longitudinal studies.

© 2014 IM Publications LLP

PDF Article
More Like This
Influence of photoluminophore-modified agro textile spunbond on growth and photosynthesis of cabbage and lettuce plants

Robert N. Khramov, Vladimir D. Kreslavski, Evgeniya A. Svidchenko, Nikolay M. Surin, and Anatoly A. Kosobryukhov
Opt. Express 27(22) 31967-31977 (2019)

Estimating leaf chlorophyll content by laser-induced fluorescence technology at different viewing zenith angles

Tianyi Hao, Yang Han, Ziying Li, Haiyan Yao, and Haofang Niu
Appl. Opt. 59(26) 7734-7744 (2020)

Steady-state multispectral fluorescence imaging system for plant leaves

Moon S. Kim, James E. McMurtrey, Charles L. Mulchi, Craig S. T. Daughtry, Emmett W. Chappelle, and Yud-Ren Chen
Appl. Opt. 40(1) 157-166 (2001)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.