MULTIVARIATE ANALYSIS IN MUNGBEAN [Vigna radiata (L) Wilczek]
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Date
2019
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Birsa Agricultural University
Abstract
The present study was conducted during kharif, 2018 at Pube Research Farm of
Birsa Agricultural University, Ranchi, Jharkhand with 38 genotypes of mungbean [Vigna
radiata (L.) Wilczek] obtained from different geographic regions to study the variability,
heritability, genetic advance, genetic divergence and the association between yield and
its component traits.
The results of analysis of variance for the twelve characters in 38 genotypes of
mungbean revealed highly significant differences except disease incidence for
Anthracnose. High heritability coupled with high genetic advance as per cent of mean
was registered by the traits, Days to first flowering , Days to pod initiation, Plant Height
(cm), Number of primary branches per plant , Number of clusters per plant, Number of
pods per plant, 100-seed weight, Seed yield per plant (g) indicating the predominance of
additive gene action.
The character association studies revealed that days to first flowering, days to
50% maturity, days to pod initiation, number of primary branches per plant, number of
clusters per plant, number of pods per plant and seed yield per plant exhibited highly
significant positive correlation. Hence, simultaneous selection of these traits will
improve the seed yield.
The results of multivariate analysis and principal component analysis indicated
the presence of considerable genetic divergence among the 38 genotypes studied and
they were grouped into 6 and 5 clusters respectively. The clustering pattern revealed that
there was no relationship between genetic diversity and geographical distribution.
Through Principal Component Analysis (PCA), four principal components had been
identified which had contributed about 73.59% of the cumulative variance.
In D 2 analysis, maximum intra-cluster distance was observed in cluster II and I,
whereas through PCA, maximum intra cluster distance was observed in cluster II
followed by III, suggesting that the genotypes present in these clusters possess varied
genetic architecture and might have originated from different genetic pool. In addition to
this, the maximum inter-cluster distance was observed between cluster II and cluster VI
in D 2 and between cluster I and cluster V in case of PCA suggesting that the genetic
architecture of the genotypes in one cluster differ entirely from those included in other
clusters.
In D2 analysis, total protein content contributed maximum towards diversity
followed by days to first flowering, Plant height (cm) and days to 50% maturity while in
Principal Component Analysis, days to 50% maturity, days to pod initiation, plant height
(cm), number of primary branches per plant, number of clusters per plant and number of
pods per plant contributed maximum towards divergence.
Comparative study of the results obtained through different statistical analysis
and also by both D2 and PCA, genotypes like VGG-16-036, IPM 2-3 and mutants like
SRMB-15- 60, SRMB-15- 20, PRMB-15-40 had been identified as the better ones for the
traits like number of primary branches per plant, number of clusters per plant, number of
pods per plant and number of seeds per pod which will ultimately help us in improving
the yield. And also genotypes like MH 1323, NVL 855, JAUM 0936, PRMB-15-70,
SRMB-15-60 can be taken into consideration for the betterment of both seed yield and
total protein content. Hence these genotypes can be used in our future breeding
programmes for the improvement of yield and total protein content.
Description
MULTIVARIATE ANALYSIS IN MUNGBEAN [Vigna
radiata (L) Wilczek]