Diurnal Changes in Photosynthesis by Six Submerged Macrophytes Measured Using Fluorescence

Hong Sheng Jiang,Yizhi Zhang,Liyan Yin,Wei Li,Quan Jin,Wenlong Fu,Ting Zhang,Wenmin Huang

Aquatic Botany（2018）SCI 3区

Key Laboratory of Aquatic Botany and Watershed Ecology

Cited 34|Views12

Abstract

The diurnal changes of chlorophyll fluorescence of terrestrial plants have been well studied and show a midday depression in summer. However, only a few studies have been performed on submerged macrophytes though they play important roles in shallow lakes. In the present study, six common submerged macrophytes were chosen to investigate the diurnal changes of the maximum potential quantum efficiency of photosystem II (Fv/ Fm) on sunny days in summer. The Fv/Fm values of all these species decreased at midday under natural conditions, but there was no significant change either under the "Shade" treatment or under laboratory conditions. The Fv/Fm values were negatively correlated with photon radiance, except for Ceratophyllum demersum, which probably could support high light as shown by rapid light curves. The decreasing Fv/Fm values during midday known in terrestrial plants to be caused by either down-regulation or photodamage of photosystem II as a response to high irradiances was here also demonstrated for submerged freshwater macrophytes. In Vallisneria denserrulata showed an additional component of circadian rhythm to the midday photoinhibition. Circadian periodicity and the diurnal changes of the photon irradiance should be considered when investigating the chlorophyll fluorescence of submerged macrophytes.

Translated text

Key words

Chlorophyll fluorescence,Freshwater submerged macrophytes,Midday depression,Photoinhibition,Photosynthesis

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Try using models to generate summary,it takes about 60s

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper