Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum.

ABSTRACT: Sorghum, a genetically diverse C₄ cereal, is an ideal model to study natural variation in photosynthetic capacity. Specific leaf nitrogen (SLN) and leaf mass per leaf area (LMA), as well as, maximal rates of Rubisco carboxylation (V _cmax), phosphoenolpyruvate (PEP) carboxylation (V _pmax), and electron transport (J _max), quantified using a C₄ photosynthesis model, were evaluated in two field-grown training sets (n = 169 plots including 124 genotypes) in 2019 and 2020. Partial least square regression (PLSR) was used to predict V _cmax (R ² = 0.83), V _pmax (R ² = 0.93), J _max (R ² = 0.76), SLN (R

SUBMITTER: Zhi X 

PROVIDER: S-EPMC9013486 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature