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

Genetic diversity is the baseline of any breeding program as determining the variability of germplasm is an indispensable assist for crop improvement strategies. Multivariate analyses such as cluster and principal component analysis measures the amount of genetic diversity in respect of several char...

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Bibliographic Details
Published in:Pakistan journal of agricultural research 2021, Vol.34 (1), p.176
Main Authors: Aleem, Saba, Tahir, Mehvish, Sharif, Iram, Aleem, Muqadas, Najeebullah, Muhammad, Nawaz, Ali, Batool, Amina, Khan, Muhammad Imran, Arshad, Waheed
Format: Article
Language:English
Subjects:
Agricultural production
Cauliflowers
Cluster analysis
Crop improvement
Crop science
Eigenvalues
Extreme values
Genetic analysis
Genetic diversity
Genetic engineering
Genotypes
Germplasm
Heterosis
Morphology
Pesticides
Plant breeding
Principal components analysis
Recombinants
Seeds
Weight
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Summary:Genetic diversity is the baseline of any breeding program as determining the variability of germplasm is an indispensable assist for crop improvement strategies. Multivariate analyses such as cluster and principal component analysis measures the amount of genetic diversity in respect of several charaters and asseses the relative contribution of different traits to the total variation. In the present study, nineteen genotypes were evaluated for presence of genetic diversity through principal component and cluster analyses. The experiment was designed in randomized complete block design with two replications at the experimental area of Vegetable Research Institute, Faisalabad, Pakistan in 2019. In the principal component analysis, first three principal components had eigenvalue >1 and contributed 80.86% of the variation among the genotypes. Traits i.e. plant weight, curd weight, curd yield, leaf length, plant height to extreme, and the number of leaves contributed significant positive component loading to these principal components (PCs). Biplot analysis among the first two PCs found the Casper RZ, AA Cauli-08, and Snow queen as diverse genotypes. Cluster analysis based on Euclidian distance grouped the genotypes into 3 distinct clusters. Some of the genotypes that have narrow genetic base were grouped into a similar cluster. Based on these results, it may be concluded that some of the genotypes are higly diverse while most of the genotypes are similar in nature. Genotypes from the distinct cluster should be used for obtaining diverse recombinants in segregating generations, exploiting heterosis, and broaden the genetic base of the cauliflower germplasm.
ISSN:0251-0480
2227-8311
DOI:10.17582/journal.pjar/2021/34.1.176.183