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叶片水力导度估算的蒸发通量法:不确定性来源及报告格式建议

Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation.

作者信息

Wang Xiaoxiao, Zhao Jinfang, Huang Jianliang, Peng Shaobing, Xiong Dongliang

机构信息

National Key Laboratory of Crop Genetic Improvement, MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.

出版信息

Plant Methods. 2022 May 12;18(1):63. doi: 10.1186/s13007-022-00888-w.

Abstract

BACKGROUND

The accurate estimation of leaf hydraulic conductance (K) is important for revealing leaf physiological characteristics and function. However, the K values are largely incomparable in previous studies for a given species indicating some uncertain influencing factors in K measurement.

RESULT

We investigated the potential impacts of plant sampling method, measurement setup, environmental factors, and transpiration steady state identification on K estimation in Oryza sativa and Cinnamomum camphora using evaporation flux method (EFM). The effects of sampling and rehydration time, the small gravity pressure gradients between water sources and leaves, and water degassing on K estimation were negligible. As expected, the estimated steady flow rate (E) was significantly affected by multiple environmental factors including airflow around leaf, photosynthetically active radiation (PARa) on leaf surfaces and air temperature. K decreased by 40% when PARa declined from 1000 to 500 µmol m s and decreased by 15.1% when air temperature increased from 27 to 37 °C. In addition, accurate steady-state flow rate identification and leaf water potential measurement were important for K estimation.

CONCLUSIONS

Based on the analysis of influencing factors, we provided a format for reporting the metadata of EFM-based K to achieve greater comparability among studies and interpretation of differences.

摘要

背景

准确估算叶片水力导度(K)对于揭示叶片生理特征和功能至关重要。然而,在先前的研究中,对于给定物种,K值在很大程度上无法进行比较,这表明K测量中存在一些不确定的影响因素。

结果

我们使用蒸发通量法(EFM)研究了植物采样方法、测量设置、环境因素以及蒸腾稳态识别对水稻和樟树K估算的潜在影响。采样和再水化时间、水源与叶片之间较小的重力压力梯度以及水脱气对K估算的影响可忽略不计。正如预期的那样,估计的稳定流速(E)受到多种环境因素的显著影响,包括叶片周围的气流、叶片表面的光合有效辐射(PARa)和气温。当PARa从1000降至500 μmol m⁻² s⁻¹时,K下降了40%;当气温从27℃升至37℃时,K下降了15.1%。此外,准确识别稳态流速和测量叶片水势对于K估算很重要。

结论

基于对影响因素的分析,我们提供了一种报告基于EFM的K元数据的格式,以实现研究之间更大的可比性和差异解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7761/9097237/179b606a7cf0/13007_2022_888_Fig1_HTML.jpg

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