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

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摘要 Sorghum,a genetically diverse C_(4) 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 C_(4) photosynthesis model,were evaluated in two field-grown training sets(n=169 plots including 124 genotypes)in 2019 and 2020.
出处 《Plant Phenomics》 SCIE EI 2022年第1期324-341,共18页 植物表型组学(英文)
基金 This study was partially funded by the Centre of Excellence for Transla-tional Photosynthesis,Australian Research Council(grant CE140100015) the Bill&Melinda Gates Foundation(grant OPPGD1197 iMashilla“A targeted approach to sor-ghum improvement in moisture stress areas of Ethiopia”).
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