Translating CO[Formula: See Text] Variability in a Plant Growth System into Plant Dynamics

Overview

Journal Sci Rep

Specialty Science

Date 2022 Aug 15

PMID 35970950

Authors

Tae In Ahn

Je Hyeong Jung

Hyoung Seok Kim

Ju Young Lee

Affiliations

Soon will be listed here.

Abstract

Plant growth occurs owing to the continuous interactions between environmental and genetic factors, and the analysis of plant growth provides crucial information on plant responses. Recent agronomic and analytical methodologies for plant growth require various channels for capturing broader and more dynamic plant traits. In this study, we provide a method of non-invasive growth analyses by translating CO[Formula: see text] variability around a plant. We hypothesized that the cumulative coefficient of variation (CCV) of plant-driven ambient CO[Formula: see text] variation in a plant growth system could yield a numerical indicator that is connected to the plant growth dynamics. Using the system outside-plant growth system-plant coupled dynamic model, we found that the CCV could translate dynamic plant growth under environmental and biophysical constraints. Furthermore, we experimentally demonstrated the application of CCV by using non-airtight growth chamber systems. Our findings may enrich plant growth information channels and assist growers or researchers to analyze plant growth comprehensively.

References

Tardieu F, Cabrera-Bosquet L, Pridmore T, Bennett M . Plant Phenomics, From Sensors to Knowledge. Curr Biol. 2017; 27(15):R770-R783. DOI: 10.1016/j.cub.2017.05.055. View

Vargas R, Barba J . Greenhouse Gas Fluxes From Tree Stems. Trends Plant Sci. 2019; 24(4):296-299. DOI: 10.1016/j.tplants.2019.02.005. View

Yee M, Kim P, Li Y, Singh A, Northen T, Chakraborty R . Specialized Plant Growth Chamber Designs to Study Complex Rhizosphere Interactions. Front Microbiol. 2021; 12:625752. PMC: 8032546. DOI: 10.3389/fmicb.2021.625752. View

Hofmeyr J, Cornish-Bowden A . The reversible Hill equation: how to incorporate cooperative enzymes into metabolic models. Comput Appl Biosci. 1997; 13(4):377-85. DOI: 10.1093/bioinformatics/13.4.377. View

Hemming S, de Zwart F, Elings A, Righini I, Petropoulou A . Remote Control of Greenhouse Vegetable Production with Artificial Intelligence-Greenhouse Climate, Irrigation, and Crop Production. Sensors (Basel). 2019; 19(8). PMC: 6515393. DOI: 10.3390/s19081807. View

Barba J, Poyatos R, Vargas R . Automated measurements of greenhouse gases fluxes from tree stems and soils: magnitudes, patterns and drivers. Sci Rep. 2019; 9(1):4005. PMC: 6408546. DOI: 10.1038/s41598-019-39663-8. View

Seginer I . A dynamic model for nitrogen-stressed lettuce. Ann Bot. 2003; 91(6):623-35. PMC: 4242352. DOI: 10.1093/aob/mcg069. View

Graven H, Keeling R, Piper S, Patra P, Stephens B, Wofsy S . Enhanced seasonal exchange of CO2 by northern ecosystems since 1960. Science. 2013; 341(6150):1085-9. DOI: 10.1126/science.1239207. View

Banerjee S, Siemianowski O, Liu M, Lind K, Tian X, Nettleton D . Stress response to CO2 deprivation by Arabidopsis thaliana in plant cultures. PLoS One. 2019; 14(3):e0212462. PMC: 6415875. DOI: 10.1371/journal.pone.0212462. View

10.

Carotti L, Graamans L, Puksic F, Butturini M, Meinen E, Heuvelink E . Plant Factories Are Heating Up: Hunting for the Best Combination of Light Intensity, Air Temperature and Root-Zone Temperature in Lettuce Production. Front Plant Sci. 2021; 11:592171. PMC: 7876451. DOI: 10.3389/fpls.2020.592171. View

11.

Metya A, Datye A, Chakraborty S, Tiwari Y, Sarma D, Bora A . Diurnal and seasonal variability of CO and CH concentration in a semi-urban environment of western India. Sci Rep. 2021; 11(1):2931. PMC: 7859198. DOI: 10.1038/s41598-021-82321-1. View

12.

Hogewoning S, Douwstra P, Trouwborst G, van Ieperen W, Harbinson J . An artificial solar spectrum substantially alters plant development compared with usual climate room irradiance spectra. J Exp Bot. 2010; 61(5):1267-76. DOI: 10.1093/jxb/erq005. View

13.

Breda N . Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. J Exp Bot. 2003; 54(392):2403-17. DOI: 10.1093/jxb/erg263. View

14.

Conn A, Pedmale U, Chory J, Navlakha S . High-Resolution Laser Scanning Reveals Plant Architectures that Reflect Universal Network Design Principles. Cell Syst. 2017; 5(1):53-62.e3. DOI: 10.1016/j.cels.2017.06.017. View

15.

Fahlgren N, Gehan M, Baxter I . Lights, camera, action: high-throughput plant phenotyping is ready for a close-up. Curr Opin Plant Biol. 2015; 24:93-9. DOI: 10.1016/j.pbi.2015.02.006. View

16.

Wright I, Reich P, Cornelissen J, Falster D, Garnier E, Hikosaka K . Assessing the generality of global leaf trait relationships. New Phytol. 2005; 166(2):485-96. DOI: 10.1111/j.1469-8137.2005.01349.x. View

17.

Townsend A, Retkute R, Chinnathambi K, Randall J, Foulkes J, Carmo-Silva E . Suboptimal Acclimation of Photosynthesis to Light in Wheat Canopies. Plant Physiol. 2017; 176(2):1233-1246. PMC: 5813572. DOI: 10.1104/pp.17.01213. View