Screening of drought resistance indices and evaluation of drought resistance in cotton (Gossypium hirsutum L.)

doi:10.1016/S2095-3119(19)62696-1

Journal of Integrative Agriculture ›› 2020, Vol. 19 ›› Issue (2): 495-508.DOI: 10.1016/S2095-3119(19)62696-1

所属专题：棉花合辑Cotton

收稿日期:2018-09-13 出版日期:2020-02-01 发布日期:2020-01-18

Screening of drought resistance indices and evaluation of drought resistance in cotton (Gossypium hirsutum L.)

ZOU Jie, HU Wei, LI Yu-xia, HE Jia-qi, ZHU Hong-hai, ZHOU Zhi-guo

Key Laboratory of Crop Physiology Ecology and Production Management, Ministry of Agriculture and Rural Affairs/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.China

Received:2018-09-13 Online:2020-02-01 Published:2020-01-18
Contact: Correspondence ZHOU Zhi-guo, Tel/Fax: +86-25-84396813, E-mail: giscott@njau.edu.cn
About author:ZOU Jie, Tel: +86-25-84396856, E-mail: 2018201025@njau.edu.cn;
Supported by:
This work was supported by the National Natural Science Foundation of China (31630051 and 31571606), the Jiangsu Collaborative Innovation Center for Modern Crop Production, China (JCIC-MCP), and the earmarked fund for China Agriculture Research System (CARS-18-14).

摘要/Abstract

Abstract:

Sixteen cotton cultivars widely planted in China were sowed under five different drought concentrations (0, 2.5, 5, 7.5, and 10%) using PEG₆₀₀₀to screen the indices of drought resistance identification and explore the drought resistance of different cotton cultivars. Eighteen physiological indices including root, stem, and leaf water contents (RWC, SWC, and LWC), net photosynthetic rate (P_n), the maximum photochemical quantum yield (F_v/F_m), the actual photochemical quantum yield (Φ_PSII), non-photochemical quenching coefficient (NPQ), leaf water potential (LWP), osmotic potential (Ψs), leaf relative conductivity (REC), leaf proline content (Pro), leaf and root soluble protein contents (LSPC and RSPC), leaf and root malondialdehyde (MDA) contents (LMDA and RMDA), root superoxide dismutase, peroxidase, and catalase activities (RSOD, RPOD, and RCAT) were measured. Results indicated the 18 physiological indices can be converted into five or six independent comprehensive indices by principal component analysis, and nine typical indices (F_v/F_m, SWC, LWP, Pro, LMDA, RSPC, RMDA, RSOD, and RCAT) screened out by a stepwise regression method could be utilized to evaluate the drought resistance. Moreover, the 16 cotton cultivars were divided into four types: drought sensitive, drought weak sensitive, moderate drought resistant, and drought resistant types. The resistance ability of two selected cotton cultivars (drought resistant cultivar, Dexiamian 1; drought sensitive cultivar, Yuzaomian 9110) with contrasting drought sensitivities were further verified by pot experiment. Results showed that the responses of final cotton biomass, yield, and yield composition to drought were significantly different between the two cultivars. In conclusion, drought resistant cultivar Dexiamian 1 and drought sensitive cultivar Yuzaomian 9110 were screened through hydroponics experiment, which can be used as ideal experimental materials to study the mechanism of different cotton cultivars with contrasting drought sensitivities in response to drought stress.

Key words: cotton (Gossypium hirsutum L.) , drought resistance , screening indices , principal component analysis , cultivar verification

. [J]. Journal of Integrative Agriculture, 2020, 19(2): 495-508.

ZOU Jie, HU Wei, LI Yu-xia, HE Jia-qi, ZHU Hong-hai, ZHOU Zhi-guo .

Screening of drought resistance indices and evaluation of drought resistance in cotton (Gossypium hirsutum L.)

[J]. Journal of Integrative Agriculture, 2020, 19(2): 495-508.

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Screening of drought resistance indices and evaluation of drought resistance in cotton (Gossypium hirsutum L.)

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