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Acta Agron Sin ›› 2014, Vol. 40 ›› Issue (01): 110-121.doi: 10.3724/SP.J.1006.2014.00110

• TILLAGE & CULTIVATION · PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Identification and Classification of Sorghum Cultivars for Drought Resistance during Germination Stage Based on Principal Components Analysis and Self Organizing Map Cluster Analysis

WANG Yi-Tao,ZHOU Yu-Fei,LI Feng-Xian,YI Bing,BAI Wei,YAN Tong,XU Wen-Juan,GAO Ming-Chao,HUANG Rui-Dong*   

  1. College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
  • Received:2013-02-28 Revised:2013-08-16 Online:2014-01-12 Published:2013-10-22
  • Contact: 黄瑞冬, E-mail: r_huang@126.com

Abstract:

PEG-6000 was used to simulate drought stress environmentin artificial climate chamber for studying the effects of different concentrations of PEG-6000 (80, 120, 150, and 175 g L–1) on the response of 31 sorghum cultivars at germination stage, with the objectives of screening drought-resistant cultivars and exploring methods suitable for assessing drought-resistance of sorghum cultivars. Through principal component analysis (PCA) and Self-Organizing-Map (SOM) cluster analysis, the drought-resistance of 31 sorghum cultivars was evaluated. PCA showed that relative bud length, relative root length and drought-resistance index during germination had the maximum weight in values, and were used as the main indices for evaluating and ranking the drought-resistant capabilities of 31 sorghum cultivars. Five groups of drought-resistance capabilities of 31 sorghum cultivars were detected based on SOM cluster analysis: four cultivars including Jiza305 were highly drought-resistant, four cultivars including HL8 were drought-resistant, eight cultivars including Liaoza 10 were medium drought-resistant, seven cultivars including Jinza 103 were drought-sensitive and eight cultivars including Jinza93 were highly drought-sensitive. In conclusion, relative bud length, relative root length and germination drought-resistance index can be used as indices for identifying drought-resistance in sorghum, and SOM cluster analysis is an important method for classifying drought-resistance.

Key words: Sorghum, Drought resistance, Principal component analysis (PCA), Self-Organizing-Map (SOM) cluster analysis

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