Spectroscopic analysis reveals that soil phosphorus availability and plant allocation strategies impact feedstock quality of nutrient-limited switchgrass

Abstract

Hao et al. develop a machine learning approach to spectroscopy data of the tissue biochemistry of the switchgrass Panicum virgatum L. Using field and lab data with phosphorus-limited conditions, the authors show how soil phosphorus availability and nutrient allocations strategies may impact feedstock chemical components and quality.