Thumbnail Image

Theses

Browse

20168
Reset filters
Subject: Plant Breeding × End date: 2016 × Start date: 2016 × Type: Thesis × Thesis Type: Ph.D ×
Reset filters

Search Results

Now showing 1 - 8 of 8
  • Thumbnail Image
    ThesisItemOpen Access
  • Thumbnail Image
    ThesisItemOpen Access
    Studies on genetic divergence and combining ability analysis for yield and malting quality traits in barley (Hordeum vulgare L.)
    (JNKVV, 2016) Yadav, Sunil Kumar; Singh, A.K.
      ABSTRACT The present investigation entitled “studies on genetic divergence and combining ability analysis for yield and malting quality traits in barley (Hordeum vulgare L.)” was conducted to estimate the genetic diversity, heterosis, combining ability analysis, character association, path analysis and selection indices along with the nature of gene effects operative in the inheritance of different traits. The experimental material consisted of 10 barley genotypes and their 45 F1 and 45 F2 progenies generated in half diallel fashion, were evaluated in randomized block design with three replications during rabi 2014 at JNKVV, Instructional farm, College of Agriculture, Rewa (M.P.). The barley parental genotypes were evaluated using biometrical technique and microsatellite markers. A set of 19 morphological and 47 SSR markers revealed significant differences among the quantitative and qualitative traits. In total 166 alleles were scored from PCR based amplification profiles for selected genotypes. The number of alleles ranged from 2 to 7 with an average of 3.52 alleles per locus. The band fragment size varied from 100 bp to 500 bp with PIC values ranging from 0.286 (Bmac154) to 0.804 (KV1/KV2) with an average of 0.551. Genetic diversity was estimated using Euclidean2 distance and UPGMA methods. Euclidean clustering revealed four clusters and groups II, III and IV exhibited highest mean value for most of the traits. Genotypes JB1, LAKHAN, KB1201 and RD2035 were identified as most suitable genotypes for hybrid performance for yield attributing characters like tillers/plant, grains/spike, 1000 grain weight, grain weight/spike, grain size and days to maturity. This information would be used as selection parameters to plan crosses and maximize the use of genetic diversity and expression of heterosis in barley breeding program for yield improvement. The highest mean performance for grain yield/plant along with some of the component traits was exhibited by crosses JB203/HUB113 and K508/JB1. Among the parents, HUB 113 and JYOTI were possessed highest grain yield/plant.The crosses RD2035/KB1201 and K508/JB203 exhibited earliest days to 50% flowering whereas, earliest days to maturity manifested by RD2035/KB1201,RD2869/KB1201 and JB1/JYOTI. Highest estimates of genotypic and phenotypic coefficient of variation were observed in flag leaf area, upper leaf area, tillers/ plant, spikes/ plant and grain yield/ plant in F1 and F2. High estimates of heritability (broad sense) were recorded for most of the characters in F1 and F2. Traits like grains/spike and grain weight/spike showed moderate heritability in F1 and high heritability in F2. Analysis of variance for combining ability revealed that variances due to GCA as well as SCA were highly significant for all the traits studied in both the F1 and F2 generations except spike harvest index and protein content in F1 generation. Thus, both additive and non-additive gene effects were important in controlling the inheritance of the characters under studied. The estimates of SCA variance were higher than the corresponding estimates of GCA variance for all the traits, both in F1 and F2 and the ratio of GCA/SCA were less from the unity, for all the characters under study, suggesting that non-additive gene action was more important than additive gene effects in the inheritance of these traits. The estimates of general combining ability (GCA) effects revealed that out of the ten parents, JB203, K508, HUB113 and JB1 were observed as good general combiners for grain yield/plant. The specific combining ability (SCA) effects, which are supposed to be manifestation of non-additive components of genetic variance, are highly valuable for discrimination of crosses for their genetic worth. Several crosses exhibited significant and desirable SCA effects for one or more characters but none of them emerged as a good specific combiner for all the characters.Few crosses like K508/RD2811, K508/RD2869, JB203/HUB113 and JB203/JB1 were identified with high SCA effects for grain yield/plant as well as some other yield components and the cross JB203/HUB113 having highest positive and significant SCA effects for grain yield/plant. Significant role of additive genetic component (D) and its significant value was observed for the inheritance of days to 50% flowering and days to maturity. The non-additive component (H1) was found to be important for the genetic control of all the traits except days to 50% flowering and days to maturity. The relative magnitude of dominant component (H2) was higher as compared to additive component (D) for all the traits, indicating the preponderance of dominant gene effects in controlling the inheritance of these traits. The efficiency of selection in the segregating generations will increase if the nature and magnitude of interrelationships among component characters and grain yield is understood. Correlations provide the estimates of degree of association between characters whereas, path analysis helps to resolve these correlations into direct and indirect contributions of different component characters towards yield and thus unravels the cause of apparent correlations. Grain yield/plant showed significant and positive correlation with harvest index, tillers/plant, spikes/plant, grain weight/spike and grains/spike. The highest positive direct effect was exerted by harvest index on grain yield/plant at phenotypic and genotypic levels, respectively. Genetic relationships among yield and agronomic traits in barley populations and its application in selection of most appropriate indices so as to reach the highest genetic advance for grain yield and its components.The highest genetic advancement and relative gain were observed when, twelve characters viz., grain yield/ plant (X1), days to 50% flowering(X2), flag leaf area (X3), tillers/ plant(X4), spikes/plant(X5), 1000-grain weight (X6), grains/spike(X7), spike weight (X8), grain weight/ spike (X9), biological yield/ plant (X10), harvest index(X11) and husk content (X12) together formed an efficient selection indices (X1X2X3X4X5X6X7X8X9X10X11X12).Thus selection will be effective in the test materials used in the study as revealed by the significant substantial variations among the genotypes and their derived crosses for the characters observed . Therefore, the significant genetic variability for these characters in the genotypes recorded in the test materials can be further exploited through improvement and selection programmes.
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic studies in bread wheat for drought tolerance
    (JNKVV, 2016) Pawar, Kshitiz Kumar; Singh, A.K.
  • Thumbnail Image
    ThesisItemOpen Access
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic and molecular analyses of JNPT lines derived from indica x japoica crosses of rice for yield and quality
    (JNKVV, 2016) Choudhary, Pratibha; Mishra, D.K.
    ABSTRACT The present investigation entitled “Genetic and Molecular Analyses of JNPT Lines Derived from Indicax Japonica Crosses of Rice for Yield and Quality” was carried out during the Kharif 2014 and Kharif 2015 at Seed Breeding Farm, Department of Plant Breeding and Genetics, College of Agriculture, J.N.K.V.V., Jabalpur (M.P.). The experimental material consists of 185 JNPT lines (including 5 checks) derived from Indica x Japonica subspecies crosses developed by J.N.K.V.V., Jabalpur were grown at Seed Breeding Farm, J.N.K.V.V., Jabalpur. These lines were planted in randomized complete block design with three replications. The characters viz., decorticated grain shape (in lateral view) followed by endosperm content of amylose, lemma and palea colour, panicle attitude of branches, leaf pubescence of blade surface, flag leaf attitude of blade (late), gelatinization temperature through alkali spreading value, flag leaf attitude of blade (early), panicle distribution of awns, spikelet density of pubescence of lemma, panicle exsertion, panicle curvature of main axis, panicle secondary branching, culm attitude, panicle awns and leaf intensity of green colour had sufficient amount of variability. The differences among genotypes were highly significant for all the traits studied. This indicated that the genotypes had sufficient amount of variability. High genotypic and phenotypic coefficient of variation exhibited by spikelet density, fertile spikelets per panicle, number of total spikelets per panicle, panicle weight per plant, number of productive tillers per plant, number of tillers per plant, amylose percent, grain yield per plant, biological yield per plant, 1000-grain weight and harvest Index. High heritability accompanied with high genetic advance obtained by spikelet density, fertile spikelets per panicle, number of spikelets per panicle, panicle weight per plant, number of tillers per plant, number of productive tillers per plant, amylose content, grain yield per plant, biological yield per plant, harvest index, 1000-grain weight, flag leaf length, flag leaf width, panicle index, stem length, grain length, plant height, grain breadth, panicle length, decorticated grain l/b ratio and decorticated grain length. This means that, these traits are under the control of additive gene action hence, for these traits direct selection can be rewarding. Grain yield per plant exhibited significant and positive association with panicle weight per plant, biological yield per plant, number of productive tillers per plant, harvest index, number of tillers per plant, fertile spikelets per panicle, spikelet density, number of spikelets per panicle, flag leaf length, panicle index, days to 50% flowering, grain breadth, days to maturity, spikelet fertility, hulling percentage and amylose content. It indicates strong association of these traits with grain yield per plant and selection for such traits will be useful in improving grain yield. Positive direct effect on grain yield per plant was observed for panicle weight per plant followed by panicle index, biological yield per plant, harvest index, stem length, number of tillers per plant, spikelet density, panicle length, spikelet fertility, flag leaf width, number of spikelets per panicle, grain breadth, decorticated grain length, days to 50% flowering, 1000-grain weight, flag leaf length and stem thickness. It indicates true relationship between them and direct selection for these traits will be rewarding for yield improvement. Positive association of these traits with grain yield per plant and high estimates of heritability and expected genetic gains revealed that these characters can be used as architecture for yield improvement. Considering the results from correlation and path coefficient analysis, it is concluded that for selecting the high yielding lines in rice the characters viz., panicle weight per plant, panicle index, biological yield per plant, harvest index, number of productive tiller per plant, spikelet density, panicle length, spikelet fertility and 1000-grain weight might be considered. From the first eight PCs, it is clear that the PC1 and PC2 mostly related to yield attributing traits while, PC5 and PC8 linked to quality traits. Since, most of the yield contributing traits is related to PC1 and PC2 a good breeding programme can be initiated by selecting the JNPT lines from this PC. Similarly, a quality breeding programme can be initiated by selecting the JNPT lines from PC5 and PC8. On the basis of PC score it could be concluded that JNPT 810, JNPT 754, JNPT 800, JNPT 752, JNPT 811, JNPT 751, JNPT 748, JNPT 820, JNPT 822 and JNPT 830 were the selected 10 promising lines for both yield and quality attributes, which can be evaluated under different agro ecological rice growing situations in Madhya Pradesh for its adaptability. Out of fifty markers amplified, thirty nine markers were polymorphic. The total number of alleles amplified was 103 with a mean value 2.06. The highest numbers of allele i.e. 5 were amplified by marker RM 17. Single alleles were amplified by using the markers viz., RM 1, RM 42, RM 231, RM 118, RM223, RM 233, RM 236, RM 261, RM 283, RM 338, RM 455, RM 468, RM 529 and RM 5474. The mean value of major allele frequency, gene diversity, heterozygosity value and polymorphic information content value were 0.7400, 0.3335, 0.8667 and 0.2813, respectively. The cluster analysis on basis of molecular analysis divided selected JNPT lines into two major clusters. Cluster II further sub divided into two major sub-groups. It depicted that there is considerable genetic variability in the JNPT lines and this was similar to the result of the principal component analysis done on the basis of morphological data. Considering, the genetic variability, correlation coefficient, path analysis, principal component analysis and genetic diversity at molecular level it could be concluded that best JNPT lines identified are JNPT 813, JNPT 811, JNPT 845, JNPT 770, JNPT 779, JNPT 777, JNPT 778, JNPT 749, JNPT 781 and JNPT(S) 10H. Thus, these JNPT lines might be utilized as inbred for production of hybrid rice, with higher yield and better quality. However, after evaluation under different agro ecological rice growing situations, these lines might be released as high yielding variety with better quality.
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic and molecular studies on aromatic rice germplasm for yield and quality attributing traits
    (JNKVV, 2016) Sohgaura, Neha; Koutu., G.K.
    ABSTRACT The present investigation entitled “Genetic and Molecular Studies on Aromatic Rice Germplasm for Yield and Quality Attributing Traits” was carried out with 103 aromatic rice genotypes, to select promising lines for breeding programme and to know the genetics for morphological (fifty eight) and biometrical (thirty one) traits in randomized complete block design with three replications at Seed Breeding Farm, JNKVV, Jabalpur during Kharif 2013 and 2014. The objective of this study was to systematically characterize and categorize the aromatic genotypes collected from different geographical locations so that they could be easily distinguishable and distinct from one another, for feasibility in identification at various levels and to study the genetic variability, correlation coefficients, path coefficients, genetic divergence, principal component for yield and yield attributing traits and diversity analysis using SSR markers. Characterization of aromatic genotypes concluded that the out of fifty eight morphological traits, seventeen characters had sufficient amount of variability. Thus, we find that majority of the genotypes have undergone changes from primitive types to evolved ones but there are still some genotypes, which possess primitive characters. Analysis of variance indicated that the differences among genotypes were highly significant for all the traits studied. This indicated that the genotypes had sufficient amount of variability. The variability among aromatic genotypes ranged from spikelet density to elongation ratio. Analysis of variance indicated that the differences among genotypes were highly significant and the genotypes had sufficient amount of variability for all the traits studied. Most of the traits exhibited high heritability coupled with high genetic advance. Indicates that the heritability is most likely due to additive gene effect and selection may be effective. Visualizing the results of correlation and path analysis it is clear that the traits harvest index, panicle weight plant-1, panicle index and biological yield plant-1 exhibited positive direct effect on grain yield per plant and also showed positive and significant association with grain yield per plant. It indicates true relationship between them and direct selection for these traits will be rewarding for yield improvement. Among the traits having negative direct effect on grain yield per plant spikelet density and spikelet fertility percent showed positive association with grain yield per plant. It indicates that the restricted selection model should be used for nullification of undesirable effect of these traits. One hundred and three genotypes of aromatic rice were grouped into nine clusters, which showed two multigenotypic and seven monogenotypic clusters. Cluster II showed maximum intra cluster distance values, followed by cluster I. Rest of the clusters were monogenotypic clusters consisting of one genotype each. The inter cluster D2 values were minimum between cluster III and cluster VII, while it was maximum between I and IX. PCA was performed for thirty one agro-morphological and quality contributing traits. Out of thirty one, only 7 principal components (PCs) exhibited more than 1.59 eigen value showed about 73.14% cumulative variability. From the first seven PCs, it was clear that the PC1, PC3 and PC4 were mostly related to quality characters while PC2, PC5 PC6 and PC7 was found to be associated with yield related traits. From the above result, it is clear that Pusa Basmati 1121 and Sugandha are the best quality genotypes while regarding yield attributing traits performance of Basmati 5874 and Basmati 385 were remarkable. However, in terms of both yield and quality attributing traits Haryana Basmati 1 can be considered as best genotype. At molecular level, a total of forty two SSR markers were used to assess the genetic diversity. Out of forty two markers, twenty eight markers were polymorphic, while remaining fourteen markers were found monomorphic. Total 82 alleles were amplified with a mean value of 1.95 across forty two SSR markers. Unique allele was amplified by only one marker namely RM 16, While markers RM 105, RM 215, RM 241 and RM 489 amplified multiple alleles. The mean value of major allele frequency, gene diversity, heterozygosity and polymorphic information content was 0.5771, 0.5234, 0.0141 and 0.4653, respectively. The diversity analysis done based on the molecular markers, forty two aromatic rice genotypes got divided into two multigenotypic clusters viz., cluster I and cluster II. The clusters are further subdivided into subclusters and subclusters are again divided into groups showing high genetic diversity among the genotypes. Considering, the results obtained PCA analysis, genetic diversity using morphological and molecular markers, it is clear that the genotypes included in the study are highly diverse with regards to yield and quality traits and utilization of these diverse trait specific genotypes to develop crop varieties with broad genetic base would be highly helpful for aromatic rice improvement programme
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic study and identification of stable kabuli chickpea lines under heat stress conditions
    (JNKVV, 2016) Dhuria, Neha; Babbar, Anita
    ABSTRACT The present investigation entitled Genetic Study and Identification of Stable Kabuli Chickpea Lines under Heat Stress Conditions was carried out during Rabi 2013-14 and 2014-15 in Seed Breeding Farm, College of Agriculture, Jabalpur (M.P.). Keeping with this view the aforesaid problems and prospect, the present investigation had been planned to evaluate the 68 kabuli chickpea (Cicer areitinum L.) genotypes (including 3 checks i.e., JGK1, JGK2 and KAK2) in normal planting for two years in Experiment I (E I, 2013-14), (EII, 2014-15) and Pooled data. In Experiment–II, evaluate and isolate the superior kabuli genotypes in different environments by manipulating different planting dates i.e., normal planting (EI), late planting (EII), very late planting (EIII) and Pooled data during 2014-15. Experiments were laid out in Randomized Completely Block Design with three replications and standard statistical analysis was employed to generate data for different analysis. Observations were recorded on five random competitive plants selected from each plot separately on 16 quantitative traits as per standard procedure. The genetic parameters, correlation coefficient, path analysis, divergence analysis, principal component analysis were calculated for yield and its component characters in Exp-I and Exp-II. Characterization and molecular analysis for Exp-I and stability analysis, heat stress parameters (Heat susceptibility index and Heat tolerance efficiency), nutritional and cooking quality parameters for Exp-II were worked out to evaluate and isolate the promising genotypes for heat stress. High magnitude of PCV and GCV were reported for height of first fruiting node and number of seeds per plant, number of effective pods per plant and seed yield per plant in different planting dates revealed that the maximum amount of variability present for these traits. Thus the above characters were given due importance. High heritability along with high genetic advance as % of mean were noted for the traits viz; height of first fruiting node and number of seeds per plant number of effective pods per plant, seed yield per seed yield per plant, number of effective pods per plant, number of seeds per plant, total number of pods per plant under all the planting dates, indicates, contribution of additive genetic variation and attention should be required at the time of selection. Seed yield per plant were highly significant and positively correlated with total number of pods per plant, number of effective pods per plant, number of seeds per plant, biological yield per plant and harvest index, in all environments. It shows improvement in one trait by selection of the other pair will also improve the yield. Path analysis revealed that days to flower initiation harvest index, biological yield had the highest positive direct effect on seed yield per plant in most of the environments indicated main yield contributing traits, so it could be given more emphasis Days to flower initiation, plant height, height of first fruiting node, 100 seeds weight were most contributing traits towards genetic divergence These characters were responsible for expressing of maximum diversity between clusters. Thus; selection for these characters would be effective. Principal component analysis highlights genotype PKV 4, Flip 07-236C, Phule G 0517 (for yield attributing traits), ICCV 13303, PG 95311, IPCK 09-79, IPCK 2004-29 (for 100 seeds weight) and NBeG 402 for both yield and 100 seeds weight (large seed size trait) found promising in normal planting. However, genotype Kripa, Flip 07-236C, FLIP-01-29C, ICCV13307 (for yield attributing traits), genotypes CSJK 4, NBeG 402, Flip 07-259C, Phule G 0625-6, JGK 1, IPCK 09-79, JGK 27, ICCV13315, IPCK 2002-29, ICCV13303 scored prime importance for 100 seeds weight in different planting condition. Out of 29 SSR molecular markers 18 were polymorphic and 11 were monomorphic over all 68 genotypes. Promising genotypes viz CSJK 46, Phule G 0517, ICCV 13310, ICCV 13312, FLIP-07-236C, FLIP-07-283C, FLIP-07-286C, JGK 1, JGK 25 and JGK 26 found stable for most of the characters. Hence, these genotypes may be grown under wide range of environments particularly in tolerance to terminal heat. On the basis of heat tolerance parameters genotypes CSJK 46, Phule G 0517, Phule G 0625-9, ICCV 13312, ICCV 13317, Kripa, JGK 1 and KAK 2 were the most suitable for heat stress condition. Genotypes viz., ICCV13312, ICCV13314, JGK 26, JGK 27, JGK12, JGK14, JGK 23, JGK1, JGK2, JGK3 and KAK 2 were identified on the basis of high seed yield in all the planting dates. High protein content genotypes Phule G 0517, Flip07-236C (normal planting) and GNG 2228 (very late planting). Highest carbohydrate contents were found in ICCV 13301, IPCK 2010-92 (normal planting) and IPCK 2010-92 (very late planting). Similarly, Genotype NBeG 402 had highest fat content in normal and very late planting conditions Large seed size genotypes viz., ICCV 13311, KRIPA, ICCV 13313, ICCV 13302, JGK18 found better in cooking quality traits.
  • Thumbnail Image
    ThesisItemOpen Access
    Induced mutagenesis for economically desirable traits in oat (Avena sativa L.)
    (JNKVV, 2016) Basha, M Hussain; Mehta, A.K.
    The present investigation was carried out to study the response of three oat varieties (JO-1, Kent and JO-03-91) to biological effects of gamma irradiation, ethyl methane sulphonate (EMS) and their combinations in M1 generation, estimation of mutation frequency and spectrum in M2 generation, selection and identification of oat mutants for phenological and economically desirable traits, screening of oat mutant lines for drought tolerance in M3 generation and assessment of genetic diversity in oat mutant lines using RAPD and ISSR markers. The germination (%), root and shoot length (cm), seedling emergence (%) at 7th and 14th DAS and plant survival (%) decreased with the increasing doses of gamma rays. The decrease was neither proportional to the increase in doses nor definite pattern was revealed in all three oat varieties except seedling height (cm) at 7th and 14th DAS; plant height (cm) and seed fertility (%) decreased in near linear fashion. While in EMS treatments, all the traits linearly decreased with the increasing concentration and in combination treatments (Gamma + EMS) the decrease was observed in near linear fashion. In gamma radiation treatments, fifty percent of growth reduction (GR50) was observed in graphical intersect at 410 Gy in the variety of JO-1, 480 Gy in Kent and 350 Gy in JO-03-91. In case of EMS treatments, fifty percent of growth reduction (GR50) was recorded at 0.65% EMS in the variety of JO-1, 0.68% EMS in Kent and 0.62% EMS in JO-03-91. Similarly in gamma + EMS combination treatments, fifty percent of growth reduction (GR50) was observed at 275 Gy + 0.4% EMS in the variety of JO-1, 280 Gy + 0.4% EMS in Kent and 265 Gy + 0.4% EMS in JO-03-91 In gamma radiation treatments, fifty percent plant survival reduction (LD50) was observed at 535 Gy, 475 Gy and 425 Gy in Kent, JO-1 and JO-03-91 from plant survival (%) and at 410 Gy, 246 Gy and 230 Gy in Kent, JO-03-91 and JO-1 from seed fertility (%). In case of EMS treatments, LD50 values were recorded at 0.86%, 0.65% and 0.63% in Kent, JO-03-91 and JO-1 from plant survival (%) and at 0.85%, 0.83% and 0.4% EMS in Kent, JO-1 and JO-03-91 from seed fertility (%). Similarly in gamma + EMS combination treatments, LD50 values recorded at 410 Gy + 0.4% EMS, 355 Gy + 0.4% EMS and 315 Gy + 0.4% EMS in Kent, JO-1 and JO-03-91 from plant survival (%), and 230 Gy + 0.4% EMS, 185 Gy + 0.4% EMS and 180 Gy + 0.4% EMS in Kent, JO-03-91 and JO-1 from seed fertility (%). Based on GR50 and LD50 values, the varieties JO-03-91 and JO-1 were found relatively more sensitive to mutagens than the Kent variety. Total eleven chlorophyll mutations (Xantha, yellow viridis and chlorina) observed in all the three varieties and morphological mutations were observed only in JO-03-91 variety, It has seven morphological mutations mainly categorized into two [laxatum (lax) and erctoides (ert)] were found at different doses of gamma radiation, EMS and in combination treatments. The frequency of chlorophyll and morphological mutations were high in EMS and combination treatments than gamma radiation treatments alone. The relative mean frequency and spectrum of chlorophyll mutants based on mutagen basis (Pooled over varieties), the gamma + EMS combination treatments induced high mutation frequency (22.00%) followed by EMS (14.32%) and gamma rays (12.74%). Thus, It concluded that EMS proved to be more effective than gamma rays. Thus, the trend of mutagen effectiveness was in the order of gamma + EMS > EMS > gamma rays. The maximum efficiency was recorded in combination treatments at 250 Gy + 0.4% EMS Gy and 300 Gy + 0.4% EMS doses in JO-1 (21.30% and 18.39%), 300 Gy + 0.4% EMS Gy and 350 Gy + 0.4% EMS doses in JO-03-91 (18.20% and 16.91%) and 250 Gy + 0.4% EMS Gy and 300 Gy + 0.4% EMS doses in Kent (15.78% and 15.52%). In case of gamma rays, the maximum gamma radiation efficiency was recorded at 350 Gy in the variety of Kent (18.40%) and 400 Gy in both JO-1 (14.55%) and JO-03-91 (15.63%) varieties. Similarly, in EMS treatments, the maximum EMS efficiency was recorded at 0.4% in the both oat varieties JO-1 (11.26%) followed by JO-03-91 (10.31%) and 0.8% EMS in Kent (10.20%). Therefore, the order of mutagenic efficiency was gamma + EMS > gamma rays > EMS. But the order of mutagenic efficiency deviated from the trend of mutagenic effectiveness. The frequency and spectrum of chlorophyll mutations were fairly high in all varieties of oat. The trend of relative frequency of different chlorophyll mutations was same in all three oat varieties as well as in mutagen basis, it can be represented as albina > xantha > viridis > striata > tigrina > others > maculata respectively. Based on variety basis, the overall frequency of chlorophyll mutations was highest in JO-03-91 (97.27%) followed by JO-1 (90.47%) and Kent (83.62%) respectively. Thus, the general trend of sensitivity of varieties can be represented as JO-03-91 > JO-1 > Kent. In M2 population morphological mutations were observed at different growth stages. In total, 2064 mutants in 17 categories were identified with a frequency of 4.57%. Among the identified mutants, those with the appearance of loose panicles (Lax) and broad leaf mutants were highest with 206 (0.46%) preceded by compact panicle-Ert (0.41%), basal hairiness (0.34%), tall (0.31%), fused leaf (0.29%) in which twin (0.17%) and triple (0.12%), awnless (0.28%), narrow leaf and early type (0.27%), late and semi-dwarf mutants (0.26%), double or multiple panicle (0.23%), anthocyanin pigments and double leaf mutants (0.21%), dwarf (0.20%), higher no. of tillers (0.12%). The mean values of flag leaf width, penultimate leaf length, penultimate leaf width and peduncle length shifted in both the directions, negative mean shift observed in higher doses of gamma rays and combination treatments and positive mean shift recorded in remaining doses of gamma, combination doses and both EMS concentrations in both JO-1 and Kent varieties. Whereas, in JO-1, mean penultimate leaf width shifted in negative direction in medium and higher doses of combination treatments. Similarly, in JO-03-91, mean peduncle length shifted in negative direction in medium and higher doses of gamma rays and combination treatments. . The highest (>20%) GCV and PCV values were recorded for flag leaf length, flag leaf width, penultimate leaf length and peduncle length at different doses of gamma rays, EMS and gamma + EMS combination treatments. High heritability coupled with high genetic advance as per cent of mean was recorded for days to flower initiation, plant height, stem girth, internode length, flag leaf length, flag leaf width, penultimate leaf length, penultimate leaf width, peduncle length, panicle length and 1000 seed weight at different doses gamma rays, EMS and gamma + EMS combination treatments of the three oat varieties. The mutants MO-3, MO-8, MO-16, MO-18, MO-19, MO-20, MO-28, MO-29, MKO-26, MJO-2, MJO-26 and MJO-40 showed increased root length, fresh root weight and dry root weight under water stress condition. Principal component analysis (PCA) was performed on nine drought seedling traits. The first five principal components with drought traits in oat mutants under study indicated drought tolerance. Among these 7 mutants i.e. MO-11, MKO-9, MKO-14, MKO-22, MKO-26, MJO-25 and MJO-30 had more than 0.5 PC values in three principal components could be directly or indirectly utilized in oat improvement programme. All RAPD and ISSR markers used in the current study had highly informative PIC values (>0.50). The genetic diversity analysis revealed that highly diversified induced mutants like M7 (Dwarf + Late), M10 (Anthocyanin Pigmented) and M14 (Awnless).