Mungbean, often known as Greengram, is a member of the
Leguminosae family. A study on the genetic and molecular diversity of 40
genotypes of Greengram was conducted using SSR markers. The study of molecular
markers is essential to genomic research. Because of their repeatability,
multiallelic nature, codominant inheritance, relative abundance, and good
genomic coverage, SSRs stand out among other marker systems like restriction
fragment length polymorphism (RFLP), RAPD, sequence tagged sites (STSs), and
AFLP. The experimental material contained significant genetic diversity;
nevertheless, for all yield-related and yield-attributing features, phenotypic
coefficient of variation exceeded genotypic coefficient of variation. The
genotypes LGG 574 (8.80), PDM 139 (8.34), and Pant Mung 6 had the highest seed
yields (7.78). The highest observed cluster distances were between clusters 5
and 6 (472.88) and clusters 4 and 5 (432.89). Among all the factors PC 1 to PC
10, PC 1 (19.99) accounted maximum proportion of variability in the set of all
variables and the remaining components accounted for progressively lesser and
lesser amounts of variation. The first six principal components (PC-1 to PC-6)
with eigenvalues of 2.94, 2.62, 2.18, 1.40, 1.28, and 0.86, respectively,
accounted for 86.95% of the total variance for all the qualities, according to
principal component analysis. Genotypes 23, 32, 33, and 21 were spread out
relatively far from other genotypes in the scatter plot, suggesting that they
might be different from other genotypes. PIC values of 10 SSR loci, where the
VR 86 marker produced the greatest PIC Value percentage and highest
heterozygosity percent. The fixation index ranges from 1.000 to -0.076. In
comparison to Cluster II, III, IV, and V, Cluster I has the most genotypes
(25), and the use of SSR markers in this work to differentiate between
genotypes was made possible by the high polymorphism information richness of
this cluster. This study shows that SSR analysis can be used to evaluate the
molecular diversity of various Greengram genotypes. For the purpose of
marker-assisted breeding programmes, plant breeders highly value the
information generated on marker data.
Author(s)details:-
Mr. S. Shanmukha
Saikumar
Department of Genetics and Plant Breeding, Sam Higginbottom University of
Agriculture, Technology and Sciences, Prayagraj - 211007, Uttar Pradesh, India.
Dr. P. S.
Shanmugavadivel
Department of Plant Biotechnology, Indian Institute of Pulses Research,
Kanpur- 208024, Uttar Pradesh, India.
Dr. Meenal Rathore
Department of Plant Biotechnology, Indian Institute of Pulses Research,
Kanpur- 208024, Uttar Pradesh, India.
Dr. Meenal Rathore
Department of Plant Biotechnology, Indian Institute of Pulses Research,
Kanpur- 208024, Uttar Pradesh, India.
Miss G. Gayathri
Department of Genetics and Plant Breeding, Sam Higginbottom University of
Agriculture, Technology and Sciences, Prayagraj - 211007, Uttar Pradesh, India.
Please See the book
here :- https://doi.org/10.9734/bpi/ibs/v5/3498G
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