International Sugar Journal

Predicting sugarcane physiological traits using hyperspectral reflectance* [Full subscriber]

Abstract         Physiological traits have the potential to accelerate genetic improvement for adaptation to abiotic stresses, resource-use efficiency, and yield.  However, using these traits as selection targets in breeding programs is constrained by current phenotyping approaches that involve destructive, time-consuming, and labor-intensive measurements.  There is growing interest in developing high-throughput tools and prediction models for the precise phenotyping of important physiological traits under field conditions.  The aim of this study was to explore the potential of remotely piloted aircraft (RPA)-based canopy hyperspectral reflectance for predicting physiological and biochemical traits in sugarcane.  Canopy hyperspectral reflectance in the 400–1700 nm spectral region was…

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