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Evaluation of genetic diversity within asparagus germplasm based on morphological traits and ISSR markers
Authors:Chen  Helong  Guo  Anping  Wang  Jian  Gao  Jianming  Zhang  Shiqing  Zheng  Jinlong  Huang  Xing  Xi  Jingen  Yi  Kexian
Affiliation:1.Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), No. 4 Xueyuan Road, Longhua District, Haikou City, 571101, Hainan Province, People’s Republic of China
;2.Institute of Tropical Bioscience and Biotechnology/Hainan Academy of Tropical Agricultural Resource, CATAS/Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Haikou, 571101, People’s Republic of China
;3.Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, 571101, People’s Republic of China
;
Abstract:

Asparagus officinalis L. is a dioecious perennial plant globally known for its fine flavor and high nutritional value. An evaluation of genetic diversity in 46 asparagus accessions was carried out based on morphological and inter-simple sequence repeat (ISSR) markers. The result show that the coefficient of variation for 20 morphological characteristics is between 12.45 and 62.22%. Factor analysis revealed that nine factors explained 83.37% of the total variance. At Euclidean distance of 135.7, 46 accessions were divided into two clusters. Genetic similarity coefficient (GSC) based on ISSR data ranged from 0.60 to 0.97, suggesting a relatively abundant genetic base. Furthermore, the 46 asparagus accessions could also be grouped into three major clusters at a GSC of 0.74. And there is no significant relation between the two marker systems using the Mantel test. Clustering based on morphological traits compared with that based on ISSR data was not consistent, however, some common groupings were observed between two dendrograms. Therefore the results elucidated asparagus germplasm genetic background and determined hybrid parents, which will facilitate optimal application of asparagus germplasm resources and provide additional data for genetic improvement.

Keywords:
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