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Development of core subset for the collection of Chinese cultivated eggplants using morphological-based passport data

Published online by Cambridge University Press:  01 April 2008

Mao Weihai ,
Yi Jinxin  and
Darasinh Sihachakr
Mao Weihai*
Affiliation:
Institute of Vegetable Crops, Zhejiang Academy of Agricultural Sciences, Hangzhou310021, China
Yi Jinxin
Affiliation:
Institute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, Nanjing210014, China
Darasinh Sihachakr
Affiliation:
Université Paris Sud, Ecologie, Systématique, Evolution, UMR8079, CNRS, AgroParisTech, bât. 360, Orsay, F-91405, France
*
*Corresponding author. E-mail: [email protected]
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Abstract

A total of 1968 accessions of cultivated eggplants, belonging to Solanum melongena and Solanum aethiopicum and procured from the IVC/JAAS (Nanjing) and IVC/ZAAS (Hangzhou), China, were examined for 23 morphological traits, such as characteristics of plant, stems, leaves, flowers, fruits and original geographic information. A comprehensive numerical classification methodology, including two types of genetic distance, viz. Mahalanobis (Ma) distance and Euclidean (Eu) distance; four clustering methods, viz. unweighted pair group average (UPGA), Ward's (W), complete linkage (CL) and single linkage (SL) methods; three sampling strategies, viz. random (R), preferred (P) and deviation (D); and four sampling sizes (10, 15, 20 and 30% of initial collection), was used to divide all accessions into main groups and subgroups for the establishment of candidate collections. The evaluation of these candidate collections showed that a combination of Eu distance, UPGA clustering method, and R or P sampling strategy with sampling size at 15–20% was suitable for establishing the core collection, providing an adequate and representative genetic diversity of the initial collection of the cultivated eggplants.

Keywords

core collectioncultivated eggplantsnumerical classification methodologySolanum aethiopicumSolanum melongena
Type
Research Article
Information
Plant Genetic Resources , Volume 6 , Issue 1 , April 2008 , pp. 33 - 40
Copyright
Copyright © NIAB 2008

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