Analysis of Genetic Diversity in Crop Plants—Salient Statistical Tools and Considerations

By Seyed Abolghasem Mohammadi, Boddupalli M. Prasanna. 2003

1,369 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/1abf8bd6d17ed4834397c599cae2938c547b6d27

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In Ecology, Evolution, Behavior and Systematics

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Citations in the corpus

Genetic diversity of wheat (Triticum aestivum L.) genotypes based on cluster and principal component analyses for breeding strategies (2011, methodology): “Chaining effect in UPGMA model is considered as the major drawback on application of this approach in cluster analysis and results in confusions in interpretation of the results (Mohammadi and Prasanna, 2003).”
Genic microsatellite markers in plants: features and applications. (2005, background): “Molecular markers have proven useful for assessment of genetic variation in germplasm collections [ 50 ].”
Importance of Genetic Diversity Assessment in Crop Plants and Its Recent Advances: An Overview of Its Analytical Perspectives (2015, background): “Readers are requested to readMohammadi and Prasanna [85] review paper for more details about different GD measures.”
Molecular marker-assisted breeding options for maize improvement in Asia (2010, background): “…of the genetic base of the elite germplasm; (ii) assignment of lines to heterotic groups; (iii) selection of appropriate parental lines for hybrid combinations; and (iv) generation of segregating progenies with maximum genetic variability for further selection (Mohammadi and Prasanna 2003).”
On the challenge of treating various types of variables: application for improving the measurement of functional diversity (2009, methodology): “His measure has been used in a variety of fields, including taxonomy, medicine (Kosaki et al. 1996), genetics (Mohammadi and Prasanna 2003), morphometry (Loo Oikos 118: 391 402, 2009 doi: 10.1111/j.1600-0706.2008.16668.x, # 2009 The Authors.”
Assessment of Multiple Tolerance Indices for Salinity Stress in Bread Wheat (Triticum aestivum L.) (2015, methodology): “The use of multivariate statistical algorithms is an important strategy for classification of germplasm and analysis of genetic relationships among breeding material (Mohammadi & Prasanna, 2003).”
Genomic selection in plant breeding: from theory to practice. (2010, background): “Uniformly sampling a population’s genetic diversity could be achieved by clustering based on multivariate distance statistics [64].”
Application of principal component analysis for rice germplasm characterization and evaluation (2012, positive): “Among the multivariate techniques, cluster analysis, PCA, principal co-ordinate analysis (PCoA) and MultiDimensional Scaling (MDS) are at present, most commonly employed and appear particularly useful (Mohammadi and Prasanna, 2003).”
Ecological Genetics of Plant Invasion: What Do We Know? (2008, background): “As several authors have noted, caution is needed when comparing genetic diversity indices across studies that used different sampling protocols and marker techniques; for examples, see Mohammadi and Prasanna (2003) and Zhao et al. (2006).”
Assessment of genetic diversity in crop plants - an overview (2017, methodology): “Mohammadi &Prasanna [8] have described in different measures of genetic distance in detail.”
Plant Genetic Resources Conservation and Utilization: The Accomplishments and Future of a Societal Insurance Policy (2006, background): “These have been reviewed before (e.g., Hamrick and Godt, 1997; Avise, 2004; Collard et al., 2005; Spooner et al., 2005; Mohammadi and Prasanna, 2003; Schlötterer, 2004; Weising et al., 2005).”