Login | Request Account (DAF staff only)

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

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Zhi, X., Massey-Reed, S. R., Wu, A., Potgieter, A., Borrell, A., Hunt, C. H., Jordan, D., Zhao, Y., Chapman, S., Hammer, G. and George-Jaeggli, B. (2022) Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum. Plant phenomics (Washington, D.C.), 2022 . p. 9768502. ISSN 2643-6515

PDF (Article)
[img] Other (Supplementary Materials: Table S1: to show the Excel spreadsheet for ACi and Ai fitting with predicted Vcmax, Vpmax, and Jmax for plot 272 in TS2.)

Article Link: https://doi.org/10.34133/2022/9768502


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. 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 (2) = 0.82), and LMA (R (2) = 0.68) from tractor-based hyperspectral sensing. Further assessments of the capability of the PLSR models for V (cmax), V (pmax), J (max), SLN, and LMA were conducted by extrapolating these models to two trials of genome-wide association studies adjacent to the training sets in 2019 (n = 875 plots including 650 genotypes) and 2020 (n = 912 plots with 634 genotypes). The predicted traits showed medium to high heritability and genome-wide association studies using the predicted values identified four QTL for V (cmax) and two QTL for J (max). Candidate genes within 200 kb of the V (cmax) QTL were involved in nitrogen storage, which is closely associated with Rubisco, while not directly associated with Rubisco activity per se. J (max) QTL was enriched for candidate genes involved in electron transport. These outcomes suggest the methods here are of great promise to effectively screen large germplasm collections for enhanced photosynthetic capacity.

Item Type:Article
Business groups:Crop and Food Science
Subjects:Agriculture > Agriculture (General) > Special aspects of agriculture as a whole > Remote sensing
Agriculture > Agriculture (General) > Methods and systems of culture. Cropping systems
Plant culture > Field crops > Sorghum
Live Archive:10 May 2022 00:19
Last Modified:13 Sep 2022 03:08

Repository Staff Only: item control page


Downloads per month over past year

View more statistics