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Assessment of the genetic components and trait associations in diverse set of fieldpea (Pisum sativum L.) genotypes

TLDR
The grouping of genotypes and hybridization among genetically diverse genotypes of different cluster would be helpful in broadening the genetic base of field pea and producing desirable recombinants for developing new fieldpea varieties.
Abstract
One hundred and 40 genotypes of fieldpea were used to assess the genetic divergence for various agronomic traits. The study revealed that all the accessions were significantly different for the traits and a wide range of variability exists for most of the traits. Correlation studies exhibited that seed yield had positive significant correlation with most of the traits. Cluster analysis classified 140 genotypes into 12 distinct groups. A large number of genotypes (30) were placed in cluster IV followed by cluster III with 24 genotypes. The maximum inter-cluster distance was observed between clusters III and IV indicating the possibility of high heterotic effect if the individuals from these clusters are cross-bred. Principal component analysis yielded 12 Eigen vectors and PCA analysis revealed significant variations among traits with seven major principal components explaining about 90% of variations. The estimates of Eigen value associated with the principal components and their respective relative and accumulated variances explained 50.16% of total variation in the first two components. The characters with highest weight in component first were biological yield, pods/plant, yield/plant and branches/plant which explained 34.22% of the total variance. The results of principal component analysis were closely in line with those of the cluster analysis. The grouping of genotypes and hybridization among genetically diverse genotypes of different cluster would be helpful in broadening the genetic base of fieldpea and producing desirable recombinants for developing new fieldpea varieties. DOI: http://dx.doi.org/10.3329/bjb.v43i3.21605 Bangladesh J. Bot. 43 (3): 323-330, 2014 (December)

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Estimation of genetic variability, expected genetic advance, correlation and path analysis in field pea (Pisum sativum L.)

TL;DR: Based on the mean performance, the genotypes HFP 1016, IPF-13-14, Prakash and Pant P 243 showed higher performance for yield suggesting that these genotypes can be used for breeding to evolve superior genotypes in the region.
Journal ArticleDOI

Phenotyping of mungbean (Vigna radiata L.) genotypes against salt stress and assessment of variability for yield and yield attributing traits

TL;DR: Both their rapid life cycle short and nitrogen fixing ability make mungbean a valuable crop, with a simple cropping system and good sustainable agricultural production potential.
Journal ArticleDOI

Effects of salt stress on the growth traits of chickpea (cicer arietinum l.) and pea (pisum sativum l.) seedlings

TL;DR: In this paper, the effects of salt stress on the chick pea and pea was performed in the Green House of Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore.
References
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Journal ArticleDOI

Hierarchical Grouping to Optimize an Objective Function

TL;DR: In this paper, a procedure for forming hierarchical groups of mutually exclusive subsets, each of which has members that are maximally similar with respect to specified characteristics, is suggested for use in large-scale (n > 100) studies when a precise optimal solution for a specified number of groups is not practical.

How wide is the Genetic Base of Pulse Crops

TL;DR: Pedigree analysis of 86 chickpea cultivars that have been released through hybridization in the country traced back to 95 ancestors appears to be insignificant part of the germplasm accessions conserved in various gene banks around the world.
Journal Article

Genetic Variability, Heritability, Expected Genetic Advance And Character Association in Field Pea ( Pisum sativum L.)

TL;DR: High expected genetic advance coupled with high heritability estimates were predicted for seed yield/plant, pods/plant and plant height indicating least influence by the environmental variation.
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