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Chinese Journal of Tropical Crops ›› 2020, Vol. 41 ›› Issue (6): 1117-1123.DOI: 10.3969/j.issn.1000-2561.2020.06.007

• Crop Culture and Nutrition, Genetic BreedingCrop Culture and Nutrition, Genetic Breeding • Previous Articles     Next Articles

Variation and Probability Grading of Main Quantitative Traits of Phalaenopsis Germplasm Resources

ZHONG Haifeng1,2,CHEN Jianfeng1,2,CHEN Yuhua1,2,QIU Sixin1,2,HUANG Minling1,2,*()   

  1. 1. Crop Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian 350013, China
    2. Fuzhou Sub-center for New Plant Variety Tests, Ministry of Agriculture and Rural Affairs, Fuzhou, Fujian 350013, China
  • Received:2019-06-19 Revised:2019-08-20 Online:2020-06-25 Published:2020-07-30
  • Contact: HUANG Minling

Abstract:

The variation, normality test and probability grading analysis of 24 main quantitative traits were carried out, using 53 Phalaenopsis germplasm resources as the research materials. The coefficient of interspecific variation of the traits varied from 8.22% to 45.31%. Among them, the coefficient of variation of the flower number was the biggest, while the length of gynostemium was the least. Meanwhile, the coefficient of intraspecific variation of the traits varied from 5.07% to 22.50%. The coefficient of variation of inflorescence length was the biggest, and the flower width was the least. The Sig value of 23 quantitative traits, such as plant size and leaf length, was more than 0.05 by K-S test, which was in accordance with normal distribution, and the number of inflorescence showed skewed distribution according to chi-square test. All the quantitative traits examined were in accordance with normal distribution. The 24 quantitative traits could be divided into five grades. Four points (X-1.2818S), (X-0.5246S), (X+0.5246S) and (X+1.2818S) are used uniformly, so that the probability of the trait value falling into 1-5 grades is 10%, 20%, 40%, 20% and 10%, respectively.

Key words: Phalaenopsis, quantitative traits, probability grading, DUS testing

CLC Number: