G×E Interaction and Genetic Diversity Studies for Seed Yield and Attributing Traits in Advance Lines of Brassica juncea L. Czern and Coss.
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Date
2023-05-01
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Abstract
The present investigation was carried out in rabi season of 2019-20, 2020-21 and 2021-
2022 with objectives to to study G x E interaction and varietal stability by using AMMI model,
nature and extent of Genetic Variability and Heritability, Genetic Divergence ,nature and
magnitude of association and direct and indirect effects of various seed yield and attributing traits
in Brassica juncea L. Czern and Coss. at N.E.B.C.R.C. and oilseed lab of Department of Genetics
and Plant Breeding at G.B.P.U.A. &T., Pantnagar. The experimental material comprised of fourty
four advance lines including checks, sown in Randomised Block Design with 3 replications. For
this investigation eleven traits namely days to maturity, plant height, length of main raceme,
siliquae on main raceme , number of primary branch, number of secondary branch, siliqua length ,
number of seeds/siliqua,1000 seed weight, oil content and seed yield were observed for five
randomly selected competitive plants.
The resulting data were subjected to statistical analysis. The result of analysis of variance
revealed that difference among mustard lines was highly significant for all the characters. The G x
E interaction and varietal stability of mustard lines were estimated by using AMMI model and it
was observed that the main effect as well as G x E interaction effect was significant for all the
traits under study. AMMI model having two principle components axis (IPCA I and IPCA II) is
genotype PRE-2020-1 for seed yield were considered as most stable genotypes in all the
environments. Highest GCV and PCV estimates were exhibited by number of secondary branches,
number of primary branches, 1000 seed weight, seed yield. High heritability and high genetic
advance as percentage of mean reported in the character number of secondary branch, 1000 seed
weight. High positive significant correlation for seed yield reported by plant height, length of
main raceme, siliquae on main raceme, number of primary branches. Path coefficient analysis
showed that the characters length of main raceme, number of primary branch and 1000 seed
weight exhibited positive direct effects on seed yield per plot and these traits also recorded positive
correlation with yield. The D2 analysis was carried out for eleven characters, which partitioned the
fourty four genotypes into twelve highy divergent clusters. On the basis of the study conducted, it
was concluded that there was a wide range of variance between the genotypes which was
considered as scope for improving the mustard lines through selection. On the basis of the mean
performance of the genotypes, the advance lines found to be most promising are PRE-2020-12,
PAB-2017-3, PRE-2019-5, PRE-2019-5, PAB-2014-4, PRL-2020-5, PRE-2018-1, PR-2020-16,
PRE-2019-5 and PR-2020-9 for seed yield and its attributing traits which can be used for
hybridization programme.
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Thesis-Ph.D