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Differential response of growth and photosynthesis in diverse cotton genotypes under hypoxia stress

Citation

Pan, R and Jiang, W and Wang, Q and Xu, L and Shabala, S and Zhang, WY, Differential response of growth and photosynthesis in diverse cotton genotypes under hypoxia stress, Photosynthetica, 57, (3) pp. 772-779. ISSN 0300-3604 (2019) [Refereed Article]


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Copyright 2019 the authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.32615/ps.2019.087

Abstract

The objectives of the present study were to compare the dynamic of the growth and photosynthetic characteristics of cotton varieties contrasting in waterlogging (WL) tolerance when subjected to hypoxia stress. The growth of the WL-sensitive genotypes was notably inhibited by WL, mainly as a result of a significant reduction in the net photosynthesis (PN) after two days of hypoxia treatment; in the tolerant varieties, no significant changes in PN were observed until 8 d after hypoxia onset. The intercellular CO2 concentration and maximal photochemical efficiency of PSII significantly declined, and the nonphotochemical quenching increased in the sensitive varieties. Infrared thermography showed that a low stomatal conductance resulted in an increased leaf temperature under hypoxia stress. Spectral image analysis suggested that the pigment content and water content rapidly decreased in the leaves of the sensitive varieties. It is concluded that maintaining stomatal opening through the interaction of ethylene and abscisic acid may be an important strategy to improve waterlogging tolerance in cotton.

Item Details

Item Type:Refereed Article
Keywords:chlorophyll fluorescence, Gossypium hirsutum, hyperspectral image, infrared thermal image
Research Division:Biological Sciences
Research Group:Plant biology
Research Field:Plant physiology
Objective Division:Plant Production and Plant Primary Products
Objective Group:Industrial crops
Objective Field:Cotton
UTAS Author:Shabala, S (Professor Sergey Shabala)
ID Code:136629
Year Published:2019
Web of Science® Times Cited:3
Deposited By:Agriculture and Food Systems
Deposited On:2020-01-11
Last Modified:2020-06-04
Downloads:5 View Download Statistics

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