Literature DB >> 26125850

Assessment of apple core collections constructed using phenotypic and genotypic data.

W H Yun1, S H Ban1, G H Kim1, J-H Kim2, S I Kwon2, C Choi3.   

Abstract

Several types of information can be used to select core collections, including passport data, agronomic data, and molecular data. However, little is known about the ability of core collections to retain the genetic diversity and structure of the whole collection for characters that were not considered during the selection, particularly when molecular markers are used. In this study, two core subsets were established for the apple (Malus spp) germplasm bank curated at the Apple Research Station, National Institute of Horticultural and Herbal Science, Korea, based upon genetic diversity estimated with 14 simple sequence repeat markers, and phenotypic diversity based on 23 traits. Comparisons between these two subsets and with the whole collection were used to determine the effect of the data used in the selection on phenotypic and genetic diversity, and population structure. The two subsets had a similar diversity and did not differ from the original collection, according to the Nei and Shannon diversity indices. Allele and class frequencies were also maintained in the two subsets. Overall, the type of data used to construct the core collection had little influence on the phenotypic and genetic diversity retained. Therefore, in the case of apple collections, the use of molecular markers is preferable, because they allow rapid and reliable characterization.

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Year:  2015        PMID: 26125850     DOI: 10.4238/2015.June.11.21

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  3 in total

1.  A multiple phenotype imputation method for genetic diversity and core collection in Taiwanese vegetable soybean.

Authors:  Yen-Hsiang Huang; Hsin-Mei Ku; Chong-An Wang; Ling-Yu Chen; Shan-Syue He; Shu Chen; Po-Chun Liao; Pin-Yuan Juan; Chung-Feng Kao
Journal:  Front Plant Sci       Date:  2022-09-02       Impact factor: 6.627

2.  A Modified Roger's Distance Algorithm for Mixed Quantitative-Qualitative Phenotypes to Establish a Core Collection for Taiwanese Vegetable Soybeans.

Authors:  Chung-Feng Kao; Shan-Syue He; Chang-Sheng Wang; Zheng-Yuan Lai; Da-Gin Lin; Shu Chen
Journal:  Front Plant Sci       Date:  2021-01-12       Impact factor: 5.753

3.  Genetic Characterization of the Apple Germplasm Collection in Central Italy: The Value of Local Varieties.

Authors:  Gianpiero Marconi; Nicoletta Ferradini; Luigi Russi; Luciano Concezzi; Fabio Veronesi; Emidio Albertini
Journal:  Front Plant Sci       Date:  2018-10-10       Impact factor: 5.753

  3 in total

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