Genetic diversity and mutual relationships through principal component analysis in F2 generation of aus rice (Oryza sativa L.)

Principal component analysis in aus rice


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Authors

  • SG Sarna Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), J and K, India
  • Showkat A Waza Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), J and K, India
  • AKM Aminul Islam Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh

Keywords:

Rice, multivariate analysis, correlation matrix, dendrogram, cluster distance, linkage

Abstract

The present study was carried out to enumerate the extent of genetic diversity for yield components in 15
different F2 segregating populations with their 10 parents of Aus rice using principal component analysis
(PCA), clustering and linkage analysis. In the correlation matrix, 14 characters of 25 genotypes generated14
principal components without changing their relative positions and the first four PCs explained 42.1%, 15.5%,
12.2% and 7.5% of total variation towards genetic diversity. In two cluster condition, 25 genotypes were
grouped into two clusters having 7 genotypes (P2 x P1, P2 x P5, P2 x P6, P1, P2, P8, P10) in cluster 1 and 18
genotypes cluster 2. In the three cluster condition, there were 4, 6, 15 individuals in cluster 1, 2 and 3, respectively.
In four cluster condition, clusters consisted of 4, 14, 3, 4 genotypes, respectively. Cluster means for the days to
maturity, number of non-effective tillers per plant, empty grains per plant showed the lowest values in cluster 1.
On the other hand, number of tillers per plant, effective tillers per plant, panicle length, filled grains per panicle,
grain length and thousand seed weight showed maximum cluster means in cluster 4. The dendrogram revealed
that six genotypes (P8 x P3, P7, P3, P7 x P3, P3 x P4, P11) having more distance as compared to rest (19
genotypes) of the genotypes. In complete linkage, 25 genotypes were grouped into two major clusters. Cluster
1 containing seven genotypes and cluster 2 containing 18 genotypes; among the two clusters, there was maximum
cluster distance than the sub-clusters. Cluster 1 showed two sub clusters where four genotypes (P1, P2 x P1, P2
x P5, P2) were in one cluster and three genotypes (P11, P8 and P10) in another cluster. Cluster 2 also contains
two sub-clusters in which three genotypes remain in one sub-cluster and 15 genotypes in another sub-cluster. In
average linkage, 25 genotypes were also grouped into two major clusters. The first cluster contains three
genotypes (P7, P3 x P4, P7 x P3) and the second cluster divided into two sub-clusters which contain rest of the
genotypes (22 genotypes). It can be concluded that, there were more distance where cluster number was less
and the distance was less where the cluster number was more.

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Submitted

2025-05-16

Published

2025-03-31

How to Cite

Sarna, S., Waza, S. A., & Aminul Islam, A. (2025). Genetic diversity and mutual relationships through principal component analysis in F2 generation of aus rice (Oryza sativa L.): Principal component analysis in aus rice. ORYZA-An International Journal of Rice, 62(1), 1-8. http://epubs.icar.org.in/index.php/OIJR/article/view/166749

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