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将植物生长系统中的 CO[Formula: see text]变异性转化为植物动态。

Translating CO[Formula: see text] variability in a plant growth system into plant dynamics.

机构信息

Smart Farm Research Center, KIST Gangneung Institute of Natural Products, Gangneung, 25451 Republic of Korea.

出版信息

Sci Rep. 2022 Aug 15;12(1):13809. doi: 10.1038/s41598-022-18058-2.

DOI:10.1038/s41598-022-18058-2
PMID:35970950
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9378742/
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.

摘要

植物生长是由于环境和遗传因素的持续相互作用，而对植物生长的分析为植物的响应提供了关键信息。最近的农业和分析方法学要求对植物生长进行各种渠道的分析，以捕捉更广泛和更具动态性的植物特性。在本研究中，我们提供了一种通过翻译植物周围 CO[Formula: see text]变异性来进行非侵入性生长分析的方法。我们假设，在植物生长系统中，植物驱动的环境 CO[Formula: see text]变化的累积变异系数（CCV）可以产生一个与植物生长动态相关的数值指标。使用系统外-植物生长系统-植物耦合动态模型，我们发现 CCV 可以在环境和生物物理约束下转化植物的动态生长。此外，我们通过使用非密封生长室系统实验性地证明了 CCV 的应用。我们的发现可能丰富植物生长信息渠道，并帮助种植者或研究人员全面分析植物的生长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/83f96a803883/41598_2022_18058_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/032a85e47fef/41598_2022_18058_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/8b6d5b3f5102/41598_2022_18058_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/37f0189473bc/41598_2022_18058_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/b069a38cfa10/41598_2022_18058_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/83f96a803883/41598_2022_18058_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/032a85e47fef/41598_2022_18058_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/8b6d5b3f5102/41598_2022_18058_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/37f0189473bc/41598_2022_18058_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/b069a38cfa10/41598_2022_18058_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5709/9378742/83f96a803883/41598_2022_18058_Fig5_HTML.jpg

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