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Researcher Sevaneson, S.
Advisor Ranwah, B. R.
Source KrishiKosh-Indian National Agricultural Research System
Content type Text
Educational Degree Master of Science (M.Sc.)
Publisher MPUAT
File Format PDF
Language English
Subject Domain (in DDC) Technology ♦ Agriculture & related technologies ♦ Techniques, equipment & materials
Subject Keyword Variability ♦ Association ♦ M6 Generation ♦ Plantago Ovata ♦ Variability and Association Studies In M6 Generation of Isabgol [plantago Ovata Forsk.] ♦ Plant Breeding
Abstract The present investigation entitled “Variability and association studies in M6 generation of Isabgol [Plantago ovata Forsk]†was carried-out with thirty five M6 progenies of isabgol. The material was planted during rabi season of 2007- 08 at research farm of Department of Plant Breeding and Genetics, RCA, MPUAT, Udaipur in RBD with 3 replicates. Observations were recorded for sixteen traits i.e. yield and its component traits and some quality parameters. Analysis of variance revealed that mean square due to genotypes were significant for eleven characters. It suggested that the experimental material possessed considerable variability for these eleven traits. Per se performance of DR 2 and PN 87 were superior for most of the traits viz. days to 75% maturity, number of tillers per plant, biological yield per plant, seed yield per plant, swelling factor, husk yield per plant, husk yield per unit seed weight, harvest index, test weight, total phenolic compounds in leaves and per cent disease index at 90 DAS. Higher magnitude of GCV and PCV in isabgol recorded for percent disease index at 90 DAS and total phenolic compounds in leaves and moderate for husk yield per plant, seed yield per plant and harvest index. Highest estimate of heritability was observed for the trait total phenolic compounds in leaves, followed by percent disease index at 90 DAS and husk yield per plant. High genetic gain was observed in percent disease index at 90 DAS and total phenolic compounds in leaves; moderate values were recorded for the husk yield per plant, seed yield per plant, harvest index and husk yield per unit seed weight. A high heritability value with high genetic gain was observed in percent disease index at 90 DAS and total phenolic compounds in leaves. There was positive correlation between seed and husk yield per plant. Both the characters had positive correlation with biological yield per plant, harvest index and test weight. Seed yield also had positive correlation with number of tillers per plant. Similarly, husk yield per plant positively correlated with husk yield per unit seed weight and swelling factor. These correlated characters either had positive or no correlation between themselves except tillers per plant that had negative correlation with husk yield per unit seed weight, swelling factor and test weight. Path analysis of seed yield per plant revealed that number of tillers per plant and test weight had high direct effect. The correlations of these two characters were also significant positive. Path analysis of husk yield per plant revealed that seed yield per plant and test weight had high positive direct effect. The correlations of these two characters were also significant positive. The significance of V statistics revealed significant variability among the genotypes over these characters. The D2 ranged from 4.2 (between PN 104 and PN 108) to 287.14 (PN 44 and PN 15). On the basis of D2 analysis, the genotypes were grouped into 13 clusters where 7 clusters were bearing single genotype only. Cluster II contains maximum number of genotypes i.e. 8 while cluster I contains 6. Among characters subjected to D2 analysis, total phenolic compounds in leaves (47.53 percent) contributed maximum towards total divergence followed by percent disease index at 90 DAS (13.82 percent). Other important characters contributing towards genetic divergence were husk yield per plant (9.66 percent), seed yield per plant (6.47 percent). The ranking pattern of all the three methods i.e. divergence of each character, sum of first rank and sum of all ranks over the pairs of genotypes were almost same. Therefore any method can be used for assessing the contribution of characters towards D2. To conclude the present study based over various estimates viz. variability parameters, correlations, path analysis and genetic divergence, Genotype DR 2 was good for seed yield, husk yield and swelling factor. It also had high mean values for characters having positive correlation with above characters and among themselves. Genotype PN 87 also good for above characters with high total phenolic compounds in leaves and percent disease index at 90DAS. PN 87 and DR 2 were representing to the cluster I and cluster XII respectively and have higher inter cluster divergence between them. Hence, these two genotypes are recommend to utilized as parents for hybridization to obtained transgressive seggregants for seed yield, husk yield, swelling factor, high phenolic compounds in leaves and disease resistance.
Educational Use Research
Education Level UG and PG
Learning Resource Type Thesis
Publisher Place Udaipur
Size (in Bytes) 582.02 kB
Page Count 87