Identification Of Duplicates Research Articles

New trends in scientific knowledge graphs and research impact assessment

New trends in scientific knowledge graphs and research impact assessment

Selection of duplicates of flax accessions – an important task in the management of collection of genetic resources ofLinum usitatissimumL.

SummaryIntroductionThe Institute of Natural Fibres and Medicinal Plants National Research Institute (IWNiRZ) – formerly Institute of Natural Fibres, together with Plant Breeding and Acclimatization Institute (IHAR) in Radzików carry out tasks related to the protection of genetic resources of flax (Linum usitatissimumL.). Genetic resources of flax are stored as seeds in IHAR refrigeration chambers. The research material consisted of passport data of genetic resources of flax.ObjectiveThe aim of the presenting the identification of duplicates of accessions of flax in documentation of the National Center of Plant Genetic Resources (IHAR). This will facilitate the management of the collection of flax genetic resources. Removal of duplicate accessions from the collection of flax genetic resources will save storage space in long-term chambers, savings in storage costs, savings in working hours.MethodsThe working methods were studying the passport database and the institute’s gene bank documentation.ResultsIn the cooling chambers of the seed bank at KCRZG at IHAR, unintentional duplicates are stored: 29 flax accessions with the same accessions number and 19 flax accessions with two different accession numbers.ConclusionsThe presentation in the article of two types of duplicates of flax accessions is very helpful in managing the collection of genetic resources of flax. Reducing the number of genotypes in the flax collection will facilitate the faster collection of all valorization data, which will be very helpful for users of the collection of genetic resources of flax.

An efficient technique for cloud storage using secured de-duplication algorithm

Techniques of data compression involve de-duplication of data that plays an important role in eliminating duplicate copies of information and has been widely employed in cloud storage to scale back the storage capacity and save information measure. A secure AES encryption de-duplication system for finding duplication with the meaning and store up it in the cloud. To protect the privacy of sensitive information whereas supporting de-duplication, The AES encryption technique and SHA-256 hashing algorithm have been utilized to encrypt the information before outsourcing. Pre-processing is completed and documents are compared and verified with the use of wordnet. Cosine similarity is employed to see the similarity between both the documents and to perform this, a far economical VSM data structure is used. Wordnet hierarchical corpus is used to see syntax and semantics so that the identification of duplicates is done. NLTK provides a large vary of libraries and programs for symbolic and statistical natural language process (NLP) for the Python programming language that is used here for the unidentified words by cosine similarity. Within the previous strategies, cloud storage was used abundantly since similar files were allowed to store. By implementing our system, space for storing is reduced up to 85%. Since AES and SHA-256 are employed, it provides high security and efficiency.

Development of the combined method of identification of near duplicates in electronic scientific works

The methods for identification of near-duplicates in electronic scientific papers, which include the content of the same type, for example, text data, mathematical formulas, numerical data, etc. were described. For text data, the method of locally sensitive hashing with the finding of Hamming distance between the elements of indices of electronic scientific papers was formalized. If Hamming distance exceeds a fixed numerical threshold, a scientific paper contains a near-duplicate. For numerical data, sub-sequences for each scientific work are formed and the proximity between the papers is determined as the Euclidian distance between the vectors consisting of the numbers of these sub-sequences. To compare mathematical formulas, the method for comparing the sample of formulas is used and the names of variables are compared. To identify near-duplicates in graphic information, two directions are separated: finding key points in the image and applying locally sensitive hashing for individual pixels of the image. Since scientific papers often include such objects as schemes and diagrams, subscriptions to them are examined separately using the methods for comparing text information. The combined method for identification of near-duplicates in electronic scientific papers, which combines the methods for identification of near-duplicates of various types of data, was proposed. To implement the combined method for the identification of near-duplicates in electronic scientific papers, an information-analytical system that processes scientific materials depending on the content type was devised. This makes it possible to qualitatively identify near-duplicates and as widely as possible identify possible abuses and plagiarism in electronic scientific papers: scientific articles, dissertations, monographs, conference materials, etc.

A novel efficient algorithm for duplicate video comparison in surveillance video storage systems

Video surveillance system is playing an inevitable role in monitoring the world in uncountable and unimaginable aspects. There are numerous systems has been adopted to monitor. There are various application like forest monitoring system, border monitoring system, home security system, traffic monitoring in which the surveillance captured video data are stored for surveillance processing immediately or later. The stored video data are identical even for every minute, hour and this lead to need of more capacity of storage just for duplicate storage unintentionally. Some methods have been proposed to remove duplicate video in storage server. There must be good and efficient algorithm has to be offered. This work is proposed a novel duplicate video identification algorithm called Intelligent Duplicate Check Algorithm (IDCA) for removing duplicate video data without discarding any unique video data. The IDCA algorithm improvised duplicate identification considerable percentage and thus efficient duplicate free storage may be achieved.

Genetic analysis of a potato (Solanum tuberosum L.) breeding collection for southern Colombia using Single Nucleotide Polymorphism (SNP) markers.

Detailed knowledge on genetic parameters such as diversity, structure, and linkage disequilibrium (LD) and identification of duplicates in a germplasm bank and/or breeding collection are essential to conservation and breeding strategies in any crop. Therefore, the potato genetic breeding collection at the Universidad de Nariño in Colombia, which is made up of diploid and tetraploid genotypes in two of the more diverse genebanks in the world, was analyzed with 8303 single nucleotide polymorphisms (SNP) from SolCAP version 1. In total, 144 genotypes from this collection were analyzed identifying an 57.2% of the polymorphic markers that allowed establishing two and three subpopulations that differentiated the diploid genotypes from the tetraploids. These subpopulations had high levels of heterozygosity and linkage disequilibrium. The diversity levels were higher in the tetraploid genotypes, while the LD levels were higher in the diploid genotypes. For the tetraploids, the genotypes from Peru had greater diversity and lower linkage disequilibrium than those from Colombia, which had slightly lower diversity and higher degrees of LD. The genetic analysis identified, adjusted and/or selected diploid and tetraploid genotypes under the following characteristics: 1) errors in classification associated with the level of ploidy; 2) presence of duplicates; and 3) genotypes with broad genetic distances and potential use in controlled hybridization processes. These analyses suggested that the potato genetic breeding collection at the Universidad de Nariño has a genetic base with a potential use in breeding programs for this crop in the Department of Nariño, in southern Colombia.

Automated Cone Cell Identification on Adaptive Optics Scanning Laser Ophthalmoscope Images Based on TV-L1 Optical Flow Registration and K-Means Clustering

Cone cell identification is essential for diagnosing and studying eye diseases. In this paper, we propose an automated cone cell identification method that involves TV-L1 optical flow estimation and K-means clustering. The proposed algorithm consists of the following steps: image denoising based on TV-L1 optical flow registration, bias field correction, cone cell identification based on K-means clustering, duplicate identification removal, identification based on threshold segmentation, and merging of closed identified cone cells. Compared with manually labelled ground-truth images, the proposed method shows high effectiveness with precision, recall, and F1 scores of 93.10%, 94.97%, and 94.03%, respectively. The method performance is further evaluated on adaptive optics scanning laser ophthalmoscope images obtained from a healthy subject with low cone cell density and subjects with either diabetic retinopathy or acute zonal occult outer retinopathy. The evaluation results demonstrate that the proposed method can accurately identify cone cells in subjects with healthy retinas and retinal diseases.

Random Amplified Polymorphic DNA (RAPD) and Derived Techniques.

Understanding biology and genetics at molecular level has become very important for dissection and manipulation of genome architecture for addressing evolutionary and taxonomic questions. Knowledge of genetic variation and genetic relationship among genotypes is an important consideration for classification, utilization of germplasm resources, and breeding. Molecular markers have contributed significantly in this respect and have been widely used in plant science in a number of ways, including genetic fingerprinting, diagnostics, identification of duplicates and selection of core collections, determination of genetic distances, genome analysis, development of molecular maps, and identification of markers associated with desirable breeding traits. The application of molecular markers largely depends on the type of markers employed, distribution of markers in the genome, type of loci they amplify, level of polymorphism, and reproducibility of products. Among many DNA markers available, random amplified polymorphic DNA (RAPD) is the simplest, is cost-effective, and can be performed in a moderate laboratory for most of its applications. In addition, RAPDs can touch much of the genome and has the advantage that no prior knowledge of the genome under research is necessary. The recent improvements in the RAPD technique like arbitrarily primed polymerase chain reaction (AP-PCR), sequence characterized amplified region (SCAR), DNA amplification fingerprinting (DAF), sequence-related amplified polymorphism (SRAP), cleaved amplified polymorphic sequences (CAPS), random amplified microsatellite polymorphism (RAMPO), and random amplified hybridization microsatellites (RAHM) can complement the shortcomings of RAPDs and have enhanced the utility of this simple technique for specific applications. Simple protocols for these techniques are presented along with the applications of RAPD in genetic diversity analysis, mapping, varietal identification, genetic fidelity testing, etc.

SPAR methods reveal high genetic diversity within populations and moderate gene flow of pointed gourd (Trichosanthes dioica Roxb.) germplasm

Abstract Pointed gourd (Trichosanthes dioica Roxb.) is one of the most nutritive cucurbitaceous vegetable crops cultivated in tropical and subtropical regions around the world. Poor characterization of the available germplasm, vegetative means of propagation and dioecy are the main constraints in developing a systematic breeding programme in pointed gourd. In this investigation, genetic variability of pointed gourd accessions belonging to four agro-climatic zones of Bengal region of India was evaluated by employing polymerase chain reaction (PCR) based single primer amplification reaction (SPAR) methods, viz., random amplified polymorphic DNA (RAPD), inter-simple sequence repeats (ISSR) and directed amplification of minisatellite DNA (DAMD). Percentage of polymorphic loci, Nei’s gene diversity index (h) and Shannon’s Information index (I) indicated a moderate level of genetic heterogeneity in studied germplasm. The mean coefficient of genetic differentiation (Gst) between populations for RAPD, ISSR and DAMD were 0.419, 0.305 and 0.315 respectively, indicating that 58.1%, 69.5% and 68.5% of genetic variability prevailed within the population. Similarly, analysis of molecular variance (AMOVA) revealed that majority of the genetic variation were partitioned among the individuals within a population. Gene flow estimate (Nm) calculated for RAPD, ISSR and DAMD marker were 0.692, 1.139 and 1.086 respectively indicating a moderate gene flow among the populations. The clustering pattern based on the combined marker systems was primarily related to the geographical distribution of the accessions. This study clearly demonstrates the efficiency of single primer based amplification reactions (SPARs) in duplicate identification, core collection and improvement of pointed gourd germplasm.

Comparative genome analysis of Tilletia indica inciting Karnal bunt of wheat reveals high genomic variation

Karnal bunt of wheat is an internationally quarantined disease caused by Tilletia indica. The disease is important in North-western plain zone of India. Till date no reference or complete genome of Tilletia indica is available and reported genomes are variable in size ranging from 26.7 to 43.7 Mb. Recently whole genome of Tilletia indica RAKB_UP_1 (GCA_002220835.1, IARI, New Delhi) has been sequenced. In present study, the genomes of seven isolates of T. indica viz.. DAOM_236416 (GCA_001645015.1), PSWKBGD_1_3 (GCA_001689965.1), PSWKBGH_1 (GCA_001689995.1), PSWKBGH_2 (GCA_001689945.1), RAKB_UP_1 (GCA_002220835.1), TiK_1 (GCA_002997305.1) and Tik (GCA_003054935.1) were compared. For genome mapping, all the genome assemblies were aligned against RAKB_UP_1 genome using minimap2 wherein 86–100% similarity was observed with the reference genome. Tik_1 mapped 100%. Further, comparative genome analysis was done by identification of SNPs, In-Dels, segmental duplicates, LTR and CNV. It revealed that variable number of SNPs were ranging from 1380 (Tik_1) to 160966 (Tik) and 82 (PSWKBGH_1) to 3309 (PSWKBGD_1_3) In-Dels. The maximum number of segmental duplications (SDs) were identified in TiK_1 isolate (60632 regions) while least in DAOM_236416 isolate (2082 regions). LTR retrotransposon regions were found as 307 (DAOM_236416)–833 (PSWKBGH_2). The copy number variations including duplications and deletions have also been identified and Tik had shown highest number of duplications count (100) while no duplication was found in Tik_1 which was expected also because of 100% mapping with the reference genome. In case of deletion counts, highest (37) deletion were detected in DAOM_236416. This first study revealed that T. indica genome showed high genomic variation and can be used to devise the novel management strategies against Karnal bunt of wheat.

Identification of Duplicates in Ginger Germplasm Collection from Odisha Using Morphological and Molecular Characterization

In this investigation, sixty morphologically different ginger rhizomes, collected from an active germplasm conservatory of High Altitude Research Station, Odisha, India, were characterized using morphological traits and molecular markers. Larger variations in morphological characters were observed among the 45 ginger accessions out of 60 accessions. Out of 22 markers, 9 ISSR and 13 SSR markers used for analysis generated 42 and 160 polymorphic bands accounting to 55% and 63.29% of the total polymorphic bands, respectively; this depicts that SSR markers have better efficiency over ISSR markers. A high degree of variation is detected in multivariate analysis (PCA and UPGMA) of both morphological traits and combined molecular markers, in which the ginger accessions clustered into five and four distinct groups. This explains the existence of large variation in morphological traits despite markers used. Genetic distance between the accessions determined from Nei’s dissimilarity matrix was used to find out the potential duplicates within the accessions collected. Twenty-nine accessions having mean genetic distance (MGD) less than threshold MGD (average MGD) value 0.174 were considered as ‘potential duplicate’ accessions and were reduced to one group, and the rest 31 were considered distinct genotype out of 60 accessions. From this analysis, 48.3% of the collection were considered as potential duplicates and deemed to be redundant. However, careful elimination of redundant through molecular analysis supported with passport data will help to eradicate existing synonyms used by farmers and improve management practices of the ginger germplasm conservatory.

A Semi-Automated Record De-Duplication Technique for a Data Warehouse Environment

Quality of Record de-duplication is a key factor in decision making process. Correctness in the identification of duplicates from a dataset provides a strong foundation for inference. Blocking is a popular technique in de-duplication. In the traditional de-duplication process blocking key is decided by the domain expert. In real time systems, automation of blocking key generation is a primary requirement. Blocking key generation without any human intervention is the objective of this paper. The proposed Automated Token Formation (ATF) algorithm is a fully automated way for blocking key generation. The attributes shortlisted by ATF are almost similar to that of the manual method for all datasets experimented. Datasets like Cora, Restaurant, and FEBRL are used. It is observed that the token provided by ATF has shown 20 % poor results over manual tokens for Cora dataset while for the other two datasets results are matching with manual tokens. A modification is made to ATF to improve the quality of the result by Semi-Automated Token Formation (SATF) algorithm. SATF is a semi-automated approach where training data is needed. SATF has shown better performance over all the manual tokens as well as tokens by ATF.

Replica Node: Detection of Node Replication in Multidimensional Networks

This paper studies node replication detection in multidimensional scaling networks. It is serious threat in the Internet of Things (IoT), inferable from the straightforwardness for an assailant to accumulate setup and validation qualifications from a non-carefully designed hub, reproduce that in system. on this writing paper, we suggest ReplicaNode, a unique duplicate identification method imposed on multidimensional networks. ReplicaNode seems to be fine fitted to IoT eventualities, something that (i) induces replicas externally the need to know the geographical locations of hubs, plus (ii) abundant ahead of ways, it is applied to hybrid networks that make up the two unchanging as well as movable hubs, at which nary movability practice could also be fictitious abstractive. Moreover, a further advantage of ReplicaNode is that (iii) the core part of the detection algorithm can be parallelized, resulting in an acceleration of the whole detection mechanism. Our thorough analytical and experimental evaluations demonstrate that ReplicaNode can achieve a 100% clone detection probability. Moreover, we propose several modifications to the original MDS calculation, which lead to over a 75% accelerate in enormous scale situations. The demonstrated efficiency of ReplicaNode proves that it is a promising technique on the way to a realistic replica finding design in IoT.

Single Primer Enrichment Technology (SPET) for High-Throughput Genotyping in Tomato and Eggplant Germplasm.

Single primer enrichment technology (SPET) is a new, robust, and customizable solution for targeted genotyping. Unlike genotyping by sequencing (GBS), and like DNA chips, SPET is a targeted genotyping technology, relying on the sequencing of a region flanking a primer. Its reliance on single primers, rather than on primer pairs, greatly simplifies panel design, and allows higher levels of multiplexing than PCR-based genotyping. Thanks to the sequencing of the regions surrounding the target SNP, SPET allows the discovery of thousands of closely linked, novel SNPs. In order to assess the potential of SPET for high-throughput genotyping in plants, a panel comprising 5k target SNPs, designed both on coding regions and introns/UTRs, was developed for tomato and eggplant. Genotyping of two panels composed of 400 tomato and 422 eggplant accessions, comprising both domesticated material and wild relatives, generated a total of 12,002 and 30,731 high confidence SNPs, respectively, which comprised both target and novel SNPs in an approximate ratio of 1:1.6, and 1:5.5 in tomato and eggplant, respectively. The vast majority of the markers was transferrable to related species that diverged up to 3.4 million years ago (Solanum pennellii for tomato and S. macrocarpon for eggplant). Maximum Likelihood phylogenetic trees and PCA outputs obtained from the whole dataset highlighted genetic relationships among accessions and species which were congruent with what was previously reported in literature. Better discrimination among domesticated accessions was achieved by using the target SNPs, while better discrimination among wild species was achieved using the whole SNP dataset. Our results reveal that SPET genotyping is a robust, high-throughput technology for genetic fingerprinting, with a high degree of cross-transferability between crops and their cultivated and wild relatives, and allows identification of duplicates and mislabeled accessions in genebanks.

Improvement of the method for scientific publications clustering based on n-gram analysis and fuzzy method for selecting research partners

For the problem of formation of project teams, in particular, scientific research project groups, there was proposed the comprehensive method, which consists of the two-stage method for clustering the graph of citation of scientists» publications and the method of fuzzy inference for coordination of experts» opinions on the selection of potential partners and their inclusion in the project group.The essence of the two-stage method for clustering publications of scientists is clustering the citation graph based on the proximity of abstracts of publications. The distance between publications is calculated based on the determined metrics and approaches of the n-gram analysis. The described method allows identifying the areas research of scientists, which is a necessary component of the rational choice of a partner for the formation of a project team and is the input information for experts who form this group. The next step is the application of the method of fuzzy inference, which is constructed to coordinate opinions of experts on the creation of project teams. This method consists of three stages. At the first stage, fuzzification is performed through the introduction of function of scientist»s belonging to the area of scientific research. The second phase of fuzzy inference is the statement of experts» requirements to candidates for a place in a project group. At the final stage, defuzzification with the use of the method of the weight center takes place. To verify the fuzzy method for identification of research project groups, the organizations-executors for a fundamental scientific research were determined.Described methods can be used for the problem of formation of scientific research groups and identification the similarities between the fragments of text information based on the n-gram analysis, which is used in the problem of identification of incomplete duplicates between fragments of text information.

Identification and preliminary characterization of early fruiting mangabeira (Hancornia speciosa – Apocynaceae)

The mangabeira (Hancornia speciosa G.) is a native Brazilian species in the process of domestication. It has several potential uses. In recent years the populations of mangabeira have become fragmented and, to conserve their genetic resources, Embrapa Tabuleiros Costeiros has, since 2006, maintained a Mangaba
 Genebank, which currently has 299 individuals distributed across 27 accessions. In one of these accessions (CP), first fruiting was observed to occur at 13 months, indicating precocity. The current project was developed with the intention of morphologically characterizing the CP accessions and evaluating the extent of genetic diversity between genotypes, based on genetic markers associated with fruiting precocity. Morphological variation in crown and leaf shape, growth habit, total height, stem diameter and canopy height were investigated. For molecular characterization, 18 CP accession genotypes were used, all from Sergipe State, Brazil, and 11 ISSR markers were studied that generated 62 fragments with 91.4% polymorphism. The fruits have physical and chemical characteristics suitable for in natura consumption and also for processing. UPGMA dendrogram analysis showed the genotypes CP2 and CP6 to be most similar and CP10 the most divergent within the CP accessions. The results showed the existence of polymorphism, and genetic divergence among genotypes, thus reinforcing the importance of constant germplasm characterization, which guarantees information on gene sources for future use, while providing information concerning potential parents that can be used in breeding programs as well as the identification of duplicates.

Identification of duplicates in cassava germplasm banks based on single-nucleotide polymorphisms (SNPs)

Genetic redundancy in cassava (Manihot esculenta Crantz) presents a challenge to efficient management of genetic resources. This study aimed to identify and define the genetic structure of duplicates in cassava germplasm from various Embrapa research units, using single-nucleotide polymorphism (SNP) markers. We evaluated 2,371 accessions with 20,712 SNPs. The identification of duplicates was performed based on multilocus genotypes (MLG), adopting a maximum genetic distance threshold of 0.05. The population structure was defined based on discriminant analysis of principal components (DAPC). A total of 1,757 unique and 614 duplicate accessions were identified. The redundancy of the collections ranged from 17 % (Belém, PA – Brazil) to 39 % (Petrolina, PE – Brazil), with an average of 21 %. This redundancy between different research units is probably due to the historical sharing of accessions, as well as collections carried out in the same region, or even to the intense germplasm exchange between farmers with different genotype names. In terms of genetic structure, the 250 principal components explained 88 % of the genetic variation of the SNP markers and defined the hierarchical structure of the duplicate cassava germplasm in 12 groups. Since heterotic groups have not yet been identified for cassava, crosses between accessions of the 12 DAPC groups may be promising. All MLGs were allocated within the same DAPC group, corroborating duplicate analyses yet still revealing high variability between groups that were quite distinct based on the first two discriminant functions. Our results contribute to optimizing the conservation of genetic resources, together with understanding diversity and its use in crop improvement.

Phenotyping and SSR markers as a tool for identification of duplicates in lettuce germplasm

In total, 117 individual samples from 39 accessions of Lactuca sativa were selected from the Czech national collection of lettuce with the aim to quantify and compare patterns of genetic and phenotypic variability within and among lettuce accessions and to propose a rapid, reliable and inexpensive method for verification of possible duplicates. We focused on phenotypic evaluation and SSR genotyping, and studied their ability to distinguish between individual accessions. Phenotypic data revealed that no two accessions shared the exactly same phenotype and no accession exhibited variability in the characters studied. Variability in SSR markers was very low as ten of twenty scorable SSR loci exhibited no variation and the remaining ten provided 48 alleles in total. Although neither phenotypic nor SSR data alone can serve as evidence for unambiguous duplicate confirmation, their combination increases the resolution power of the method considerably. The obtained data on cultivated lettuce indicate weak, but significant correlation (R<sup>2</sup> = 0.34, P = 0.01) between the two data sets.

ПОЛИМОРФИЗМ МИКРОСАТЕЛЛИТНЫХ ЛОКУСОВ В КОЛЛЕКЦИИ ВИНОГРАДА ДАГЕСТАНСКОГО ФИЛИАЛА ВИР

Background . Ampelographical collection of the VIR experiment station in Dagestan comprises 320 accessions of grape cultivars and 25 ecotypes of wild grape species, that are highly polymorphic in their morphological traits. As for any other large germplasm collections, the problem of genetic identification of the accessions and their originality is critical for the ampelographical collection. Genome of Vitis vinifera L. contains many polymorphic microsatellite loci, their allele diversity could be used to reveal the genetic structure of the ex situ collection as well as for the identification of duplicates. The task of the study was to estimate the level of polymorphism of four microsatellite loci that were previously recommended for the genotyping purposes in grape. The grape collection of Dagestan experiment station of VIR was investigated. Materials and methods . The analysis of microsatellite loci was based on PCR with the primers that were published previously. The size of alleles was estimated with Nanophor 05 sequencer (Syntol, Moscow). The results of the collection screening with the microsatellite markers were analyzed with Structure 2.3.4 software. The main characteristics of microsatellite loci (Polymorphic Information Content, heterozygosity) were determined using GenAlEx 6.2 program. Results and conclusion . The high level of polymorphism of the microsatellite loci VVS2, VVMD27, VVMD31, VVMD28 were detected when studying 221 accessions of the grape collection at the Dagestan experiment station. Heterozygosity of the loci was 0,50-0,83, the number of alleles per locus varied between 17 and 19, in total 70 alleles was detected. No relationship was detected between the allele combinations of accessions and their eco-geographical origin or any particular cultivar group. To reveal the genetic structure of the grape germplasm collection the larger number of SSR loci should be involved.

Analysis of diversity and determination of duplicates among twenty one <i>Dioscorea</i> accessions through morphological and molecular characterization

Several accessions of Dioscorea, a tuber crop of the family Dioscoreaceae, have been conserved under field and in-vitro conditions at the Plant Genetic Resources Center, Sri Lanka. Therefore, identification of duplicates in the collection is necessary as they cause a considerable wastage of input during the conservation process and leads to confusion when using these accessions in plant variety improvement programs. In this study, 21 Dioscorea accessions belonging to Dioscorea alata, D. esculenta, D. bulbifera and D. pentaphylla were characterized by 75 morphological characters and 15 simple sequence repeat (SSR) markers. The morphological characters were distributed as; 31 leaf, 21 stem, five flower and 18 tuber characters. The dendrogram showed that there are four main clusters without duplication. Accession 107 recorded as D. pentaphylla was well separated from other accessions while four accessions (21, 36, 113 and 92) were clustered into non-related clusters with their species. The SSR analysis was conducted on 20 Dioscorea accessions (except for the accession 107) through Power Marker. Polymorphism was detected among all Dioscorea accessions with 2 to 5 alleles per marker and a genetic distance ranging from 0.1333 (among accessions 101, 102, 103 and 109) to 0.7529 (between accessions 83 and 133). The phenogram resulted in three major clusters, which is almost in agreement with the existing classification. A disagreement was observed with respect to the accession 36 recorded as D. alata and 127 recorded as D. bulbifera as both were clustering with D. esculenta. Duplicates, accession 113 and 101, were classified with D. bulbifera and accession 62, 26 were identified with D. esculenta, respectively.