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A multiscale approach to investigate fluorescence and NDVI imaging as proxy of photosynthetic traits in wheat

bioRxiv · 17 Nov 2023 · 10.1101/2023.11.10.566533

Abstract

With the development of the digital phenotyping, repeated measurements of agronomic traits over time are easily accessible, notably for morphological and phenological traits. However high throughput methods for estimating physiological traits such as photosynthesis are lacking. This study demonstrates the links of fluorescence and reflectance imaging with photosynthetic traits. Two wheat cultivars were grown in pots in a controlled environment. Photosynthesis was characterised by gas-exchange and biochemical analysis at five time points, from booting to 21 days post anthesis. On the same days imaging was performed on the same pots, at leaf and plant scale, using indoor and outdoor phenotyping platforms, respectively. Five image variables (Fv/Fm and NDVI at the whole plant level and Fv/Fm, {Phi}(II)532 and {Phi}(NPQ)1077 at the leaf scale) were compared to variables from A-Ci and A-Par curves, biochemical analysis, and fluorescence instruments. The results suggested that the image variables are robust estimators of photosynthetic traits, as long as senescence is driving the variability. Despite contrasting cultivar behaviour, linear regression models which account for the cultivar and the interaction effects, further improved the modelling of photosynthesis indicators. Finally, the results highlight the challenge of discriminating functional to cosmetic stay green genotypes using digital imaging. HighlightA temporal and multi-scale study of fluorescence and NDVI imaging used as a proxy for photosynthetic parameters

Plant phenotyping relevance

蛍光・NDVI画像を用いて光合成形質を推定し、ガス交換・生化学分析等と比較検証することが研究の中心であるため、植物フェノタイピング手法研究に該当します。

abstractThis study demonstrates the links of fluorescence and reflectance imaging with photosynthetic traits.
abstractThe results suggested that the image variables are robust estimators of photosynthetic traits

Code and data availability

The supplied blocks describe wheat fluorescence/NDVI phenotyping measurements and linear regression analysis in R, but contain no public phenotype dataset, image deposit, or author analysis code with an availability statement. The only URL mentioned (http://landflux.org/tools) refers to third-party curve-fitting tools,

No evidence-backed public reproduction asset is currently recorded.

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