Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2015, Vol. 31 ›› Issue (12): 139-144.doi: 10.11924/j.issn.1000-6850.casb14120107

Special Issue: 棉花

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Correlation and Cluster Analysis for Main Agronomic Characters of Upland Cotton

Dai Maohua1, Liu Liying1, Zheng Shuhong1, Wang Ruiqing2, Wu Zhenliang1   

  1. (1Dryland Farming Institute, Hebei Academy of Agricultural and Forestry Sciences/Hebei Key Laboratory of Crops Drought Resistance, Hengshui Hebei 053000;2Agricultural Department of Hebei, Shijiazhuang 050031)
  • Received:2014-12-16 Revised:2015-04-01 Accepted:2014-12-26 Online:2015-05-06 Published:2015-05-06

Abstract: 30 materials were selected from cotton varieties authorized by Hebei Province or the Yellow River Valley during 2005-2012. We designed a contrast experiment to analyze variation, correlation and cluster of 12 main characters in mid-south region of Hebei in 2012 and 2013. The purpose of this study was to provide theoretical basis for variety selection and developing new breeding goals. The results were as follows: the coefficients of variation of boll number per plant and elongation rate were larger in 12 main characters, 7.94% and 8.80%, respectively. The correlation analysis, path analysis and cluster analysis demonstrated that the main factors affecting lint yield were boll number per plant and lint percentage in mid-south region of Hebei Province. Varieties with larger boll number per plant and higher lint percentage were the best choice for cotton production, such as ‘Jifeng 106’, GK99-1, ‘Nongdamian 9’, ‘Kuaiyu 66’, ‘Han 102’, and so on. Lint yield exhibited positive correlation with 50% staple length, uniformity, strength and elongation rate and reached extremely significant level with elongation rate. The negative chain between lint yield and fiber quality gradually weakened. Synchronous improvement of yield and quality got some achievements.