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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Abstract
The present investigation was carried out in rabi season of 2019-20, 2020-21 and 2021-
newline2022 with objectives to to study G x E interaction and varietal stability by using AMMI model,
newlinenature and extent of Genetic Variability and Heritability, Genetic Divergence ,nature and
newlinemagnitude of association and direct and indirect effects of various seed yield and attributing traits
newlinein Brassica juncea L. Czern and Coss. at N.E.B.C.R.C. and oilseed lab of Department of Genetics
newlineand Plant Breeding at G.B.P.U.A. andT., Pantnagar. The experimental material comprised of fourty
newlinefour advance lines including checks, sown in Randomised Block Design with 3 replications. For
newlinethis investigation eleven traits namely days to maturity, plant height, length of main raceme,
newlinesiliquae on main raceme , number of primary branch, number of secondary branch, siliqua length ,
newlinenumber of seeds/siliqua,1000 seed weight, oil content and seed yield were observed for five
newlinerandomly selected competitive plants.
newlineThe resulting data were subjected to statistical analysis. The result of analysis of variance
newlinerevealed that difference among mustard lines was highly significant for all the characters. The G x
newlineE interaction and varietal stability of mustard lines were estimated by using AMMI model and it
newlinewas observed that the main effect as well as G x E interaction effect was significant for all the
newlinetraits under study. AMMI model having two principle components axis (IPCA I and IPCA II) is
newlinegenotype PRE-2020-1 for seed yield were considered as most stable genotypes in all the
newlineenvironments. Highest GCV and PCV estimates were exhibited by number of secondary branches,
newlinenumber of primary branches, 1000 seed weight, seed yield. High heritability and high genetic
newlineadvance as percentage of mean reported in the character number of secondary branch, 1000 seed
newlineweight. High positive significant correlation for seed yield reported by plant height, length of
newlinemain raceme, siliquae on main raceme, number of primary branches. Path coefficient analysis
newlineshowed that the characters length of main raceme, number of primary branch and 1000 seed
newlineweight exhibited positive direct effects on seed yield per plot and these traits also recorded positive
newlinecorrelation with yield. The D2 analysis was carried out for eleven characters, which partitioned the
newlinefourty four genotypes into twelve highy divergent clusters. On the basis of the study conducted, it
newlinewas concluded that there was a wide range of variance between the genotypes which was
newlineconsidered as scope for improving the mustard lines through selection. On the basis of the mean
newlineperformance of the genotypes, the advance lines found to be most promising are PRE-2020-12,
newlinePAB-2017-3, PRE-2019-5, PRE-2019-5, PAB-2014-4, PRL-2020-5, PRE-2018-1, PR-2020-16,
newlinePRE-2019-5 and PR-2020-9 for seed yield and its attributing traits which can be used for
newlinehybridization programme.
newline