Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (21): 4446-4453.doi: 10.3864/j.issn.0578-1752.2013.21.006

• SPECIAL FOCUS: STUDIES ON CLIMATE CHANGE IMPACT ON CROP AND ANIMAL PRODUCTION FROM CHINA • Previous Articles     Next Articles

Physiological Indicator of Cotton Plant in Recovery from Waterlogging Damage

 HU  Jiang-Long, GUO  Lin-Tao, WANG  You-Hua, ZHOU  Zhi-Guo   

  1. College of Agronomy, Nanjing Agricultural University/Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing 210095
  • Received:2013-05-22 Online:2013-11-01 Published:2013-08-04

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Abstract: 【Objective】The objective of this study was to screen suitable evaluation indexes indicating the stress and recovery degree after waterlogging, which would provide a theoretical basis for taking appropriate cultivation measures to reduce the impact of flood disasters on cotton production.【Method】By using cotton cultivar Siza 3 as material and four waterlogging treatments were applied (0, 6, 9, 12 days, respectively), the experiment was carried out in Dafeng, Jiangsu province (120°28′E, 33°12′N). The 14 stress related physiological indexes of cotton functional leaf, such as photosynthetic gas exchange parameters, MDA content, antioxidant enzyme activities, were evaluated by gray relational grade analysis and hierarchical cluster analysis.【Result】The results indicated that each of the 14 stress related physiological traits, had significant difference under different stress levels or at different recovery stages after waterlogging, and significant difference was also observed in the correlation degree between the indexes and the recover level. The relative correlation degree of the stress related physiological indexes and the stress level at different recovery stages were very similar, indicating that the 14 indexes could be grouped by the correlation degree and those indexes presented higher correlation degree with stress level could be used as key physiological indexes to indicate the stress or recovery level in cotton plant after waterlogging. The traits with higher correlation degree to recovery index were Pn(0.8105) and MDA(0.7717), which presented lower variation than others. They were ranked the first category according to hierarchical cluster analysis.【Conclusion】With the data in this research, it was concluded that Pn and MDA content could be used as key physiological indexes in evaluating the stress and recovery degree after waterlogging.

Key words: cotton , boll period , waterlogging stress , indicative indexes

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