scholarly journals Assesment of Genetic Diversity in Wheat Synthetic Double Haploids for Yield and Drought Related Traits Through Factor and Cluster Analyses

2016 ◽  
Author(s):  
Imran Javed ◽  
Shahid Awan ◽  
Hafiz Ahmad ◽  
Aurangzeb Rao.
Keyword(s):  
Genetic Diversity ◽  
Cluster Analyses ◽  
Double Haploids

Evaluation of the genetic diversity and population structure of five indigenous and one introduced Chinese goose breeds using microsatellite markers

2012 ◽  
Vol 92 (4) ◽  
pp. 417-423 ◽  
Author(s):  
Jinjun Li ◽  
Qingyuan Yuan ◽  
Junda Shen ◽  
Zhengrong Tao ◽  
Guoqing Li ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Differentiation ◽  
Genetic Distance ◽  
Microsatellite Markers ◽  
Genetic Relationships ◽  
Evolutionary Relationships ◽  
Distance Estimate ◽  
Cluster Analyses ◽  
Nei's Genetic Distance

Li, J., Yuan, Q., Shen, J., Tao, Z., Li, G., Tian, Y., Wang, D., Chen, L. and Lu, L. 2012. Evaluation of the genetic diversity and population structure of five indigenous and one introduced Chinese goose breeds using microsatellite markers. Can. J. Anim. Sci. 92: 417–423. The aim of this study was to determine the genetic diversity and evolutionary relationships among five indigenous Chinese goose breeds and one introduced goose breed using 29 microsatellite markers. A total of 334 distinct alleles were observed across the six breeds, and 45 of the 334 alleles (13.5%) were unique to only one breed. The indigenous geese showed higher diversity in terms of the observed number of alleles per locus (4.48–5.90) and observed heterozygosity (0.46–0.53) compared with the introduced breed (3.97 and 0.29, respectively). The pairwise genetic differentiation (FST) between the six goose breeds ranged from 0.04 between Panshi Grey goose (PS) and Yongkang Grey goose to 0.47 between PS and Landes goose; similarly, Nei's genetic distance varied between 0.25 and 0.75. However, the FST between the indigenous Chinese goose breeds was very small. In addition, genetic distance estimate, phylogenic, and cluster analyses of the genetic relationships and population structure revealed that some indigenous goose breeds had hybridized more frequently, resulting in a loss of genetic distinctiveness.

scholarly journals Genetic Diversity and Population Structure of Maize Inbred Lines with Varying Levels of Resistance to Striga Hermonthica Using Agronomic Trait-Based and SNP Markers

Plants ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1223
Author(s):  
Adekemi Stanley ◽  
Abebe Menkir ◽  
Agre Paterne ◽  
Beatrice Ifie ◽  
Pangirayi Tongoona ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Molecular Diversity ◽  
Hierarchical Cluster ◽  
Molecular Data ◽  
Inbred Lines ◽  
Striga Hermonthica ◽  
Cluster Analyses ◽  
Maize Inbred Lines ◽  
Hierarchical Cluster Analyses

Striga hermonthica is a serious biotic stress limiting maize production in sub-Saharan Africa. The limited information on the patterns of genetic diversity among maize inbred lines derived from source germplasm with mixed genetic backgrounds limits the development of inbred lines, hybrids, and synthetics with durable resistance to S. hermonthica. This study was conducted to assess the level of genetic diversity in a panel of 150 diverse maize inbred lines using agronomic and molecular data and also to infer the population structure among the inbred lines. Ten Striga-resistance-related traits were used for the phenotypic characterization, and 16,735 high-quality single-nucleotide polymorphisms (SNPs), identified by genotyping-by-sequencing (GBS), were used for molecular diversity. The phenotypic and molecular hierarchical cluster analyses grouped the inbred lines into five clusters, respectively. However, the grouping patterns between the phenotypic and molecular hierarchical cluster analyses were inconsistent due to non-overlapping information between the phenotypic and molecular data. The correlation between the phenotypic and molecular diversity matrices was very low (0.001), which is in agreement with the inconsistencies observed between the clusters formed by the phenotypic and molecular diversity analyses. The joint phenotypic and genotypic diversity matrices grouped the inbred lines into three groups based on their reaction patterns to S. hermonthica, and this was able to exploit a broad estimate of the actual diversity among the inbred lines. The joint analysis shows an invaluable insight for measuring genetic diversity in the evaluated materials. The result indicates that wide genetic variability exists among the inbred lines and that the joint diversity analysis can be utilized to reliably assign the inbred lines into heterotic groups and also to enhance the level of resistance to Striga in new maize varieties.

Methodology to establish a composite collection: case study in lentil

2006 ◽  
Vol 4 (1) ◽  
pp. 2-12 ◽  
Author(s):  
Bonnie J Furman
Keyword(s):  
Genetic Diversity ◽  
Large Scale ◽  
Dna Analysis ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Crop Improvement ◽  
Hierarchical Cluster ◽  
Wild Relatives ◽  
Crop Species ◽  
Cluster Analyses

The International Center for Agricultural Research in the Dry Areas (ICARDA) is participating in a large-scale programme, Subprogram 1 of the Consultative Group on International Agricultural Research (CGIAR) Generation Challenge Program, that aims to explore the genetic diversity of the global germplasm collections held by the CGIAR research centres. This project will identify a ‘composite collection’ of germplasm for individual crops, representing the range of diversity of each crop species and its wild relatives, and characterize each composite set using anonymous molecular markers, mainly simple sequence repeats (SSRs). The overall goal of this project is to study diversity across given genera and identify genes for resistance to biotic and abiotic stresses that can be used in crop improvement programmes. ICARDA was responsible for creating the composite collection for lentil. ICARDA has the global mandate for lentil and houses the largest global collection of this crop with 10,509 accessions. From this collection, a global composite collection of 1000 lentil accessions was established with the aim to represent genetic diversity and the agro-climatological range of lentil. Accessions for the composite collection were compiled from landraces, wild relatives, and elite germplasm and cultivars. The methodology presented here combined classical hierarchical cluster analyses using agronomic traits and two-step cluster analyses using agro-climatological data linked to the geographical coordinates of the accessions' collection sites. Genotyping for 30 SSR loci will be carried out for all 1000 accessions. Plants grown for DNA analysis will be harvested and progeny will be evaluated under field conditions at ICARDA.

scholarly journals Principal Component and Cluster Analyses as Tools in the Assessment of Genetic Diversity for Late Season Cauliflower Genotypes

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Saba Aleem ◽  
Mehvish Tahir ◽  
Iram Sharif ◽  
Muqadas Aleem ◽  
Muhammad Najeebullah ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component ◽  
Cluster Analyses ◽  
Late Season

Being Drunk to Have Fun or to Forget Problems?

2010 ◽  
Vol 26 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Emmanuel Kuntsche ◽  
Ronald Knibbe ◽  
Rutger Engels ◽  
Gerhard Gmel
Keyword(s):  
Social Relationships ◽  
Convergent Validity ◽  
Structural Equation ◽  
Risk Groups ◽  
Drinking Motives ◽  
Equation Modeling ◽  
Cluster Analyses ◽  
High Concordance ◽  
Nationally Representative ◽  
Risky Single Occasion Drinking

Prevention programs in adolescence are particularly effective if they target homogeneous risk groups of adolescents who share a combination of particular needs and problems. The present work aims to identify and classify risky single-occasion drinking (RSOD) adolescents according to their motivation to engage in drinking. An easy-to-use coding procedure was developed. It was validated by means of cluster analyses and structural equation modeling based on two randomly selected subsamples of a nationally representative sample of 2,449 12- to 18-year-old RSOD students in Switzerland. Results revealed that the coding procedure classified RSOD adolescents as either enhancement drinkers or coping drinkers. The high concordance (Sample A: κ = .88, Sample B: κ = .90) with the results of the cluster analyses demonstrated the convergent validity of the coding classification. The fact that enhancement drinkers in both subsamples were found to go out more frequently in the evenings and to have more satisfactory social relationships, as well as a higher proportion of drinking peers and a lower likelihood to drink at home than coping drinkers demonstrates the concurrent validity of the classification. To conclude, the coding procedure appears to be a valid, reliable, and easy-to-use tool that can help better adapt prevention activities to adolescent risky drinking motives.

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