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    In this study, the genetic diversity of local mango (Mangifera indica L.) germplasm including 14 genotypes were evaluated by using morphological, biochemical markers and DNA barcoding technique. Morphological characterization is the first step towards utilizing these germplasm in crop improvement studies. The advanced chloroplast based DNA barcode method can be utilized to assess the genetic diversity and phylogenetic structure in such populations. The study was carried out during 2018-2019 years to evaluate local mango germplasm including 14 diverse genotypes based on a number of morphological and biochemical traits and chloroplast DNA barcoding as well. The experiment was laid out in one way ANOVA design with fourteen germplasm indicated with indigenous collection number. Among local mango germplasm, IC 589756 was found to be the most promising with respect to high magnitudes of fruit length, fruit width, fruit weight, pulp weight, soluble solid content (SSC)/Acidity ratio, pH and low acidity followed by IC 589746 exhibiting the highest pulp percentage and SSC accompanied with lowest stone weight and stone percent as compared to the other genotypes. Further, the dendrogram and cluster analyses based on sequencing of chloroplast marker i.e., trnH- psbA and trnCD depicted the relationship among mango genotypes and clearly clustered them into two main clusters at a similarity coefficient 0.035 and 0.150, respectively. The first cluster includes only one genotype and cluster-II contains 13 genotypes. Particularly results revealed that DNA barcoding of local mango germplasm can assist not only in molecular identification but also help in elucidation of their phylogenetic relationship and thus important in maintaining biodiversity inventories. © 2022. The Author(s), under exclusive licence to Springer Nature B.V.


    Sanjay Kumar, Ram Avtar Kaushik, Devendra Jain, Ved Prakash Saini, S Ramesh Babu, Ravish Choudhary, Sezai Ercisli. Genetic diversity among local mango (Mangifera indica L.) germplasm using morphological, biochemical and chloroplast DNA barcodes analyses. Molecular biology reports. 2022 May;49(5):3491-3501

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    PMID: 35076854

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