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| Web URL(s): | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/151616
Last checked: 12/06/2023 |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Bernacchi, Carl J.;
Fu, Peng;
Siebers, Matthew;
Meacham-Hensold, Katherine;
Pederson, Taylor;
Feddersen, Brett;
Blakely, Bethany;
McGrath, Justin |
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| Author Affiliation: | Bernacchi: Presenting Author and Global Change and Photosynthesis Research Unit, USDA-ARS, Urbana, IL; Fu: Center for Environment, Energy and Economy, Harrisburg University, Harrisburg, PA; Siebers and McGrath: Global Change and Photosynthesis Research Unit, USDA-ARS, Urbana, IL; Meacham-Hensold and Fedderson: Institute for Genomic Biology, University of Illinois, Urbana, IL; Pederson: Plant Biology, University of Illinois, Urbana, IL |
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| Title: | High throughput phenotyping of photosynthesis related parameters from leaf to canopy style |
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| Section: | Symposium--advances in plant phenotyping and its applications
Other records with the "Symposium--advances in plant phenotyping and its applications" Section
C05 turfgrass science
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| Meeting Info.: | St. Louis, Missouri: October 29-November 1, 2023 |
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| Source: | ASA, CSSA, SSSA International Annual Meeting. 2023, p. 151616. |
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| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
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| # of Pages: | 1 |
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| Abstract/Contents: | "Increasing crop yield is critical to meet growing agricultural demands. Improving the efficiency of photosynthesis at scales from the leaf to the ecosystem will likely lead to higher crop yields, however this necessitates high-throughput phenotyping techniques to explore both natural and imposed genetic variation among crop species and cultivars. The non-invasive nature of hyperspectral imaging is increasingly used to phenotype photosynthesis and photosynthetic physiology, and research efforts are increasingly mining spectral information to characterize key physiological variables. Here, we describe the development of data analytic pipelines that leverage proximal sensing platforms and data sources including both reflectance spectra and solar-induced fluorescence (SIF) for quantifying photosynthetic performance at leaf and canopy levels for multiple crop genotypes. Specific phenotypes included photosynthetic physiology parameters that are represented by the maximum carboxylation rate (Vcmax) and the maximum electron transport rate (Jmax). Time-synchronized hyperspectral point-based measurements and canopy-based images from 400 to 1000 nm and irradiance measurements under clear-sky conditions were collected. Within 30 minutes of spectral measurements, ground-truth Vcmax and Jmax were obtained from portable leaf gas exchange system. Our results suggested both reflectance spectra and SIF can provide accurate estimations of Vcmax and Jmax. The developed platforms and techniques offer a high-throughput screening tool for crop trials aimed at identifying increased photosynthetic capacity. The results from a range of wild-type cultivars and from genetically modified germplasm demonstrate the relative benefits in using proximal sensing at multiple scales to accelerate crop breeding processes based on traditional or gene editing techniques to enhance photosynthetic efficiency." |
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| Language: | English |
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| References: | 0 |
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| Note: | "385-3"
This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Bernacchi, C. J., P. Fu, M. Siebers, K. Meacham-Hensold, T. Pederson, B. Feddersen, et al. 2023. High throughput phenotyping of photosynthesis related parameters from leaf to canopy style. Agron. Abr. p. 151616. |
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| Web URL(s):
https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/151616
Last checked: 12/06/2023 |
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