Genetic Variability and Divergence Study for Seed Yield and it’s Components in Pearl Millet [Pennisetum glaucum (L.) R. Br.]
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Date
2019-05-24
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Agriculture University, Jodhpur
Abstract
An experiment entitled “Genetic Variability and Divergence Study for Seed
Yield and it’s Components in Pearl Millet [Pennisetum glaucum (L.) R. Br.]” was
carried out during Kharif 2018 at the Research Farm of Project Coordinating Unit,
AICRP on Pearl Millet, Mandor, Jodhpur. The experiment was laid out in Randomized
Block Design (RBD) with 30 genotypes and three replications to estimate the extent of
genetic variability, heritability, genetic advance, correlation coefficient, path coefficient
analysis and genetic divergence among all the genotypes.
Analysis of variance showed highly significant variance among the genotypes
for all the characters, under study, indicated availability of wide spectrum of
variability among the genotypes. The phenotypic coefficient of variation (PCV) was
slightly higher than the respective genotypic coefficient of variation (GCV) for all the
characters under study indicated less influence of environment on the genotypes in
expression of traits. Highest magnitudes of PCV and GCV were observed for zinc content
whereas, the lowest PCV and GCV were observed for days to maturity.
High estimate of heritability along with high genetic advance as percentage of
mean were observed for days to 50% flowering, plant height, number of productive
tillers per plant, panicle length, panicle diameter, stover yield per plant, grain yield
per plant, 1000 grain weight, harvest index, iron content and zinc content indicated
role of additive gene action for expression of these characters and are proven important
for improving seed yield. High heritability values with moderate genetic advance as
percentage of mean were observed for days to maturity and protein content.
The grain yield per plant was found positively correlated with plant height,
panicle diameter, stover yield per plant, 1000 grain weight and harvest index which
showed that these traits are may be the selection criteria in breeding programme for
improvement of seed yield.
Path coefficient analysis revealed that stover yield per plant, harvest index,
plant height and 1000 grain weight were the important characters for selection of high
yielding accessions as they exerted high positive direct effect as well as showed
positive significant correlation with grain yield per plant.
Based upon the genetic variability, heritability, genetic advance as percentage
of mean, correlation and path analysis it was concluded that stover yield per plant,
grain yield per plant, harvest index, number of productive tillers per plant, panicle
diameter and panicle length are most important yield components in pearl millet
breeding programme.
Based on the relative magnitude of D2
values resulted through Tocher’s
method the genotypes were grouped in six clusters. Out of six clusters, cluster I was
the largest comprising of 25 genotypes followed by mono genotypic cluster II, III, IV,
V and VI. This suggested the existence of high degree of diversity among the
genotypes. The trait iron content contributed maximum towards genetic divergence.
The intra cluster distance was recorded in cluster I. The inter cluster distance was
highest between cluster IV and VI followed by cluster V and VI, and III and VI
indicated that superior recombinants can be achieved by crossing between the
genotypes RIB-17/009 x RIB-15177, J-2405 x RIB-15177 and RIB-335/04 x RIB 15177 in a definite fashion.
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Yadav Shankar Lal 2019. Genetic Variability and Divergence Study for Seed Yield and it’s Components in Pearl Millet [Pennisetum glaucum (L.) R. Br.]. M.Sc. thesis, College of Agriculture, Agriculture University, Jodhpur.