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Screening Drought-tolerant Daylily Plants Based on Leaf Surface TemperatureScreening Drought-tolerant Daylily Plants Based on Leaf Surface Temperature  

Hao Li , Dingyu Ji , Ziyi Ji , Dongmei Yin , Xiang Liu , Qiaoping Qing , Di’an Ni , Zhiguo Zhang
School of Ecological Technology and Engineering, Shanghai University of Technology, Shanghai, 201418, China
Author    Correspondence author
Bioscience Methods, 2020, Vol. 11, No. 1   
Received: 03 Jun., 2020    Accepted: 05 Jun., 2020    Published: 07 Jun., 2020
© 2020 BioPublisher Publishing Platform
This article was first published in 《分子植物育种》(ISSN1672-416X,CN46-1068/S) in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

There are lots of arid and semi-arid areas in China. Breeding drought tolerant cultivars is one of the important objectives of horticultural plant breeding, including daylily. In order to establish a simple and rapid selection and evaluation system of drought tolerant daylily cultivars, 10 daylily cultivars with the highest and lowest leaf surface temperature were selected by the method of measuring leaf surface temperature. The drought resistant indexes such as stomatal conductance, stomatal density, water loss and relative water content of detached leaves were measured, and the aboveground biomass of daylily cultivars after drought treatment were observed for the classification of daylily cultivars. Correlation analysis showed that there was a positive correlation between leaf temperature and drought resistance. Aforementioned results provided the basis for reference for the selection of drought tolerant daylily cultivars from a large number of introduction plants or hybrid progenies.

Keywords
Daylily (Hemerocallis fulva); Leaf surface temperature; Stomatal conductance; Stomatal density; Drought tolerance grading and screening system
Bioscience Methods
• Volume 11
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. Hao Li
. Dingyu Ji
. Ziyi Ji
. Dongmei Yin
. Xiang Liu
. Qiaoping Qing
. Di’an Ni
. Zhiguo Zhang
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