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      Genetic diversity of Indian garlic core germplasm using agro-biochemical traits and SRAP markers

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          Abstract

          The characterization of garlic germplasm improves its utility, despite the fact that garlic hasn't been used much in the past. Garlic has an untapped genetic pool of immense economic and medicinal value in India. Hence, using heuristic core collection approach, a core set of 46 accessions were selected from 625 Indian garlic accessions based on 13 quantitative and five qualitative traits. The statistical measures (CV per cent, CR per cent, VR per cent) were used to sort the core set using Shannon-Wiener diversity index and the Nei diversity index. In addition, the variation within the core set was tested for 18 agro-morphological and six biochemical characteristics (allicin, phenol content, pyruvic acid, protein, allyl methyl thiosulfinate (AMTHS), and methyl allyl thiosulfinate (MATHS)). Further study of the core set's molecular diversity was performed using sequence related amplified polymorphism (SRAP) markers, which revealed a wide range of diversity among the core set's accessions, with an average polymorphism efficiency (PE) of 80.59 percent, polymorphism information content (PIC) of 0.29, effective multiplex ratio (EMR) of 3.51, and marker index (MI) of 0.99. The findings of this study will be useful in identifying high-yielding, elite garlic germplasm lines with the trait of interest. Since this core set is indicative of total germplasm, these selected breeding lines will be used for genetic improvement of garlic in the future.

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          Most cited references45

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          Analysis of Gene Diversity in Subdivided Populations

          M Nei (1973)
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            Hierarchical Grouping to Optimize an Objective Function

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              PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core sets.

              Core sets are necessary to ensure that access to useful alleles or characteristics retained in genebanks is guaranteed. We have successfully developed a computational tool named 'PowerCore' that aims to support the development of core sets by reducing the redundancy of useful alleles and thus enhancing their richness. The program, using a new approach completely different from any other previous methodologies, selects entries of core sets by the advanced M (maximization) strategy implemented through a modified heuristic algorithm. The developed core set has been validated to retain all characteristics for qualitative traits and all classes for quantitative ones. PowerCore effectively selected the accessions with higher diversity representing the entire coverage of variables and gave a 100% reproducible list of entries whenever repeated. PowerCore software uses the .NET Framework Version 1.1 environment which is freely available for the MS Windows platform. The files can be downloaded from http://genebank.rda.go.kr/powercore/. The distribution of the package includes executable programs, sample data and a user manual.
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                Author and article information

                Contributors
                Journal
                Saudi J Biol Sci
                Saudi J Biol Sci
                Saudi Journal of Biological Sciences
                Elsevier
                1319-562X
                2213-7106
                13 May 2021
                August 2021
                13 May 2021
                : 28
                : 8
                : 4833-4844
                Affiliations
                [a ]ICAR-Directorate of Onion and Garlic Research, Rajgurunagar–410505, Pune, Maharashtra, India
                [b ]Department of Botany, Savitribai Phule Pune University, Pune 41100, Maharashtra, India
                [c ]Department of Vegetable Science, ICAR-Indian Agriculture Research Institute, New Delhi 110012, India
                [d ]ICAR-National Research Centre for Grapes, Pune 412307, Maharashtra, India
                [e ]ICAR-Directorate of Floriculture, Pune 411005, Maharashtra, India
                Author notes
                Article
                S1319-562X(21)00381-8
                10.1016/j.sjbs.2021.05.013
                8324993
                34354473
                2f62c2b2-e965-4b8c-ae87-3042b8d71665
                © 2021 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 28 March 2021
                : 2 May 2021
                : 3 May 2021
                Categories
                Original Article

                garlic,srap marker,diversity analysis,allicin
                garlic, srap marker, diversity analysis, allicin

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