Performance of Fenugreek (Trigonella foenum-graecum L.) Genotypes towards Growth, Yield and UPOV Properties

2021 ◽  
Author(s):  
Gulsum Yaldiz ◽  
Mahmut Camlica
Keyword(s):  
Genetic Diversity ◽  
Growth Yield ◽  
Yield Traits ◽  
Pca Analysis ◽  
International Union ◽  
Trigonella Foenum Graecum ◽  
New Varieties ◽  
Superior Genotypes ◽  
Trigonella Foenum Graecum L ◽  
Selection Of

Background: Genetic diversity is referred to the diversity present within different genotypes of same species, serves as the most valuable reservoir in providing variability for various traits. This variability would provide a basis for improving the crop in breeding program. The present study aimed to assessment of genetic diversity and selection of superior genotypes for fenugreek breeding. Methods: In this study, 75 fenugreek genotypes with cultivars (Çiftçi and Gürarslan) were used and these genotypes were established in augmented trial design. Each genotype was analyzed for morphological and yield traits and nineteen traits were scored according to the International Union for the Protection of New Varieties of Plants (UPOV). Result: As a result of the study, PI 568215 and PI 577712 were noted as promising genotypes for seed yield and protein content, respectively. Dendrogram analysis showed that same origin genotypes were found in different main groups. Correlation analysis revealed that 22 positive or negative correlations were found among the examined properties. PCA analysis results were found among the examined properties and total variation was noted as 39.95%.

Genetic diversity in four cabbage populations based on UPOV and IPGRI description forms and allozyme variation

2001 ◽  
Vol 136 (3) ◽  
pp. 309-318 ◽  
Author(s):  
T. V. KOUTSOS ◽  
M. KOUTSIKA-SOTIRIOU
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Plant Genetic Resources ◽  
Principal Component ◽  
Allozyme Variation ◽  
Gene Frequencies ◽  
International Union ◽  
New Varieties ◽  
International Plant ◽  
Physiological Characters

Morphophysiological characters, designated as descriptors by the International Union for the Protection of New Varieties of Plants (UPOV) and the International Plant Genetic Resources Institute (IPGRI), and allozyme variation were used to study genetic diversity among four cabbage (Brassica oleracea L. var. capitata L.) open pollinated (OP) populations. The morphological and physiological characters, and gene frequencies among OP populations were analysed by using cluster (CA) and principal component analysis (PCA). Both methods gave the same clustering of OP populations. The relationships found among OP populations by analysing UPOV descriptors (30 characters) and IPGRI descriptors (30+14 characters) were similar. The relationships among OP populations obtained from gene frequencies were not similar to those obtained from morphophysiological characters, but two of the four OP populations were clustered together by both categories of data. The biggest correlation between the relationships among OP populations obtained from morphophysiological characters and those obtained from gene frequencies was r = −0·44 and r =−0·38 given by PCA and CA respectively. The importance of each character or allele with respect to the relationships among OP populations were also detected by PCA.

scholarly journals Evaluation of genetic diversity and DNA fingerprinting of 19 standard reference rice varieties using SSR markers

2020 ◽  
Vol 16 (4) ◽  
pp. 603-609
Author(s):  
Tran Long ◽  
Luu Minh Cuc ◽  
Nguyen Quang Sang ◽  
Pham Xuan Hoi
Keyword(s):  
Genetic Diversity ◽  
Dna Fingerprinting ◽  
Genetic Similarity ◽  
Similarity Coefficient ◽  
International Union ◽  
Rice Varieties ◽  
Reference Marker ◽  
High Uniformity ◽  
New Varieties ◽  
Group 2

Molecular markers are advanced-tools for identifying new varieties at DNA levels. According to the International Union for the Protection of New Varieties ofPlants,  new breeded varieties need to be tested for the Distinctness, Uniformity and Stability (DUS), before being recognized as the new ones. Traditional DUS criteria based on 62 - 65 morphological and biochemical characteristics, which evaluated on comparison of new varieties with 19 standard reference varieties for traits of interest.  Study on the genotypic polymorphism of 19 standard reference rice varieties provides genotypic information of these varieties for the evaluation of new rice varieties based on genotyping analysis.  The reference marker set (30 markers) was used to evaluate the genetic diversity and DNA fingerprinting of 19 standard reference rice varieties. The results showed the similarity coefficient of 19 varieties varied from 0.04 to 0.548. At the genetic similarity coefficient of 0.1, the 19 rice varieties divided into two main groups. Group one included 3 varieties: DH1, DH5, DH13. Group 2 included the remaining 16 varieties. Inside group two, phylogenetic tree divided into two main branches at the genetic similarity coefficient of 0.3. Branch 1 includes 5 varieties including DH2, DH6, DH10, DH11 and DH7. The 11 remaining varieties were in the branch 2. The most closely varieties were DH6 and DH10 with the genetic similarity coefficient of 0.548. This study shows that, the standard reference varieties have high uniformity and high genotypic polymorphism, could used for testing new varieties based on genotyping by DNA fingerprinting combining with phenotype.

scholarly journals Asessment of Genetic Diversity among Fenugreek (Trigonella foenum-graecum L.) Genotypes using ISSR Markers

2017 ◽  
Vol 6 (6) ◽  
pp. 2565-2572
Author(s):  
N.C. Mamatha ◽  
S.K. Tehlan ◽  
M. Srikanth ◽  
T. Ravikumar ◽  
Shikha Yashveer ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Issr Markers ◽  
Trigonella Foenum Graecum ◽  
Trigonella Foenum Graecum L

​SSR Based Genetic Diversity Analysis in Fenugreek (Trigonella foenum-graecum L.) Genotypes

2021 ◽  
Author(s):  
S.R. Maloo ◽  
Radheshyam Sharma ◽  
Himanshu Soan
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis ◽  
Trigonella Foenum Graecum ◽  
The World ◽  
Ctab Method ◽  
Medicinal Crop ◽  
Wide Variability ◽  
Trigonella Foenum Graecum L

Background: Fenugreek (Trigonella foenum-graecum L.) is an important seed spice crop widely grown all over the world. In India, the state of Rajasthan is known for fenugreek production and productivity in the world. A concerted assessment of genetic variability among the germplasm accession is essential for breeding new superior varieties. Molecular markers such as AFLP, RAPD, ISSR, SSR, SCAR, SCoT, SRAP have become for the characterization of the germplasm rapidly and accurately. The present study aimed to characterize 20 elite fenugreek genotypes using simple sequence repeat (SSR) markers to assess the existing genetic diversity of this medicinal crop. Methods: The present study was carried out at the Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan, India. Total genomic DNA was isolated from old leaves using the CTAB method (Doyle and Doyle, 1990). Further, PCR based genetic diversity was analyzed with using 50 SSR primer pairs. Dendrogram was constructed using NTSYSpc version 2.2 and clustering of the genotypes was done. Result: Twenty genotypes of fenugreek were assessed for genetic diversity analysis using SSR markers. Out of 50 markers 43 primer pairs produced 130 alleles with an average of 84.60% polymorphism. Jaccard’s similarity coefficient lied between and 0.39 to 0.82. Based on UPGMA clustering, a dendrogram consisting of five main clusters was generated with wide variability among the studied genotypes. These diverse genotypes so identified could be gainfully utilized in the fenugreek breeding programme.

Assessment of genetic diversity and other genetic parameters in Indian mustard [Brassica Juncea (L.) Czern & Coss.]

2015 ◽  
Vol 49 (6) ◽  
Author(s):  
Devmani Bind ◽  
Sanjay Kumar Singh ◽  
V. K. Dwivedi
Keyword(s):  
Genetic Diversity ◽  
Indian Mustard ◽  
Yield Potential ◽  
Main Shoot ◽  
Shoot Height ◽  
Cluster Distance ◽  
Additive Gene ◽  
Superior Genotypes ◽  
Efficient Breeding ◽  
Selection Of

Mahalanobis D<sup>2</sup> statistics was used to assess genetic diversity in thirty brassica genotypes. Based on thirteen characters the genotypes were grouped into 7 clusters. Cluster I had largest number of genotypes (7) followed by cluster III, IV, VII, VI, V and II. Maximum intra cluster divergence was found in cluster III, cluster IV and maximum inter cluster distance was found in cluster V and cluster VI which indicates that efficient breeding programme can be formulated to improve yield potential by hybridization in this set of genotypes. Moderate magnitude of broad sense heritability c oupled with genetic advance, phenotypic and genotypic coefficients in respect of number of branches, main shoot length, main shoot height, length of siliqua, number of seeds per siliqua and yield per plant indicates the scope for selection of superior genotypes due to preponderance of additive gene action.

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