Identification of drought resistance and physiological evaluation of drought resistance of Brassica napus L. at seedling stage
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DOI:10.7606/j.issn.1000-7601.2020.01.38
Key Words: Brassica napus L.  drought resistance index  physiological index
Author NameAffiliation
ZUO Kaifeng College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
GUO Na College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
ZHANG Bingbing College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
QIN Mengfan College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
MA Ning College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
LIU Xiang College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
LI Qingqing College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
HUANG Zhen College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
XU Aixia College of Agronomy, Northwest A&F University, Yangling, Shaanxi 7121000, China 
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Abstract:
      One hundred and twenty species of Brassica napus L. germplasms in northwestern China were used as experimental materials in a pot experiment in artificial climate chamber with PEG-6000 simulated drought treatment at five\|leaf stage of rapeseed, phenotypic identification, and physiological index determination. The data was analyzed by correlation analysis and principal component analysis and the drought resistance of 120 materials was evaluated. The correlation between drought resistance index of Brassica napus L. and 8 drought resistance physiological indexes were discussed, and the main influencing factors of drought resistance of Brassica napus L. were determined. The results showed that there were 6 high drought\|resistant materials among 120 germplasms, 10 in medium resistance, 23 in low resistance, 42 in low\|sensitivity, and 39 in high\|sensitivity. Soluble sugar, proline and soluble protein in different rapeseed germplasms after drought treatment showed significant changes with the increase rates of 94.7%, 432.8%, and 95.7%, respectively; There were significant correlations between the drought resistance index and soluble protein content (0.521**), soluble sugar content (0.506**), and proline content (0.495**). There was a significant positive correlation with leaf water retention (0.426**) and a significant negative correlation with malondialdehyde content (-0.372**). The most direct impact of drought resistance index was on soluble protein with a direct diameter coefficient of 0.384. The most influential was the SPAD value, and the indirect combined effect was 0.196. Through principal component analysis, the relevant indicators was integrated into three categories: osmotic adjustment factor, water retention factor, and membrane lipid damage factor.