Multivariate analysis of selected agro-morphological traits of common wheat genotypes for estimation of genetic diversity

Estimation of genetic diversity of plant species using agro morphological parameters is of very crucial importance in plant improvement programs. In view of that common wheat (Triticum aestivum L.) genotypes consisting of stripe rust resistant genes were analyzed by cluster analysis, principle compo...

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Bibliographic Details
Published in:Emirates journal of food and agriculture 2022-12, Vol.34 (12), p.1020-1027
Main Authors: Bibi, Sadaf, Inamulla, Inamulla, Qayyum, Abdul
Format: Article
Language:English
Subjects:
Agricultural production
Cluster analysis
Clustering
Correlation analysis
Disease resistance
Genetic analysis
Genetic diversity
Genotype & phenotype
Genotypes
Grain
Harvesting
Hybridization
Leaf area
Leaves
Morphology
Multivariate analysis
Plant diversity
Plant species
Plants
Plants (botany)
Principal components analysis
Species diversity
Stripe rust
Triticum aestivum
Wheat
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Summary:Estimation of genetic diversity of plant species using agro morphological parameters is of very crucial importance in plant improvement programs. In view of that common wheat (Triticum aestivum L.) genotypes consisting of stripe rust resistant genes were analyzed by cluster analysis, principle component analysis and coefficient of correlation analysis for determination of genetic diversity. Experiment was conducted in fields of Hazara University Mansehra Pakistan. Eight groups were categorized by cluster analysis using UPGMA clustering method. AOC-YR/ATTILA (CGSS97Y0061S-23Y-1B-1B) (Sdf31) and 10790 (sdf2) are reported as more diversified by cluster analysis. Based on principal component analysis the first five clusters showed 88.94% of genetic variation. Grains per spike contributed more (0.7) to total variation in PCI. While Harvest Index was the major contributor (0.8) to total variation in PCII. 1056 (Sdf5), AOC-YR/ATTILA (CGSS97Y0061S-32Y-1B-1B) (sdf30), 1072 (sdf6), 1076 (sdf9), and LALBMONO4*4/PRL//LALB (CGSS99Y00093S-2F1-22Y-9GHB-1GHB) (sdf32) were observed superior in flag leaf area, spike length, grains per spike, plant height, biological yield, plant yield and harvest index. AOC-YR/ATTILA (CGSS97Y0061S-32Y-1B-1B) (Sdf30) was found as early maturing genotype. Correlation analysis showed positive and significant association of plant yield with flag leaf area, spike length and biological yield, while it is highly negatively correlated to no. of days to maturity. More diversified genotypes identified in this studies can be used in future breeding programs along with utilization of superior genotypes in hybridization. Key words: cluster analysis, correlation, genetic diversity, principal component analysis, whea
ISSN:2079-052X
2079-0538
DOI:10.9755/ejfa.2022.v34.i12.2979