Predicting the Photosynthetic Capacity and Leaf Nitrogen of Woody
Bioenergy Crops from Hyperspectral Reflectance Models
Abstract
Generating renewable bioenergy crops requires varietals that are suited
to grow under varying environmental conditions necessitating the
development and testing of a wide range of poplar (Populus) genotypes.
Meanwhile, there is an increasing demand for refining the selection
process of high-performing poplars. However, a cost-effective method is
still needed to predict the productivity of various poplar genotypes.
Photosynthetic capacity and leaf nitrogen are important growth-related
physicochemical traits, but measuring them in the field and laboratory
is expensive and time-consuming. Alternatively, remote sensing of
hyperspectral leaf spectra may serve as a proxy to rapidly estimate
these traits, which are associated with absorption, reflection, and
transmission of solar radiation. To quantify photosynthetic traits,
CO2 response curves were used to estimate
Rubisco-limited carboxylation rate (Vcmax), maximum
electron transport rate (Jmax), and triose phosphate
utilization (TPU). From the same leaves measured for photosynthesis,
leaf reflectance was measured with a handheld spectroradiometer. We
measured a total of 105 leaf samples, including 6 taxa with 61 different
poplar genotypes. For data analyses, Least Absolute Shrinkage and
Selection Operator and Principal Component Analysis were used to
determine the wavelengths that were the most useful for capturing the
variability in the physicochemical data. Results showed that leaf
reflectance at 758 nm and 936 nm were crucial wavelengths for predicting
Vcmax (RMSPE = 31%) and Jmax (RMSPE =
32%), while 687 nm and 757 nm were important predictors for TPU (RMSPE
= 31%), and 709 nm and 927 nm were important predictors for leaf
nitrogen (RMSPE = 22%). The wavelengths near 687 nm and 760 nm are the
oxygen absorption bands, and also overlap with the chlorophyll
fluorescence emission of plants. Therefore, it is possible to apply
hyperspectral reflectance models for rapid clonal screening and
high-throughput field phenotyping of photosynthetic capacity parameters
and leaf nitrogen of various poplar genotypes.