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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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  • ThesisItemOpen Access
    Characterization and QTL mapping of Teosinte derived maize population for BLSB resistance and other traits
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Adhikari, Sneha; Singh, N.K.
    The investigation was carried out with the aim to map genomic region for resistance to banded leaf and sheath blight and other traits. The field experiments were conducted during rabi 2016-2017, kharif 2017, rabi 2017-18 for development of mapping population while kharif 2018 season was used for phenotyping of BC1F5 mapping population under artificially inoculated with Rhizoctonia solani and control conditions. Among BC1F3 and BC1F4 generation of teosinte derived maize population, large phenotypic variation was observed for all morphological traits, hence teosinte can be used for enhancing maize germplasm. Of the 126 lines 76, 20 and 21 lines were of protogynous behaviour, short ASI (0-1 days) and bears > 3 ears per plant, respectively in both BC1F3 and BC1F4 generations. Jaccard similarity coefficients and dendrogram generated using SSR markers data indicate 25 percent genetic similarity in maize and teosinte. Analysis of variance showed highly significant variation among the BC1F5 lines for disease reactions and other traits. Among 169 BC1F5 lines, 9 (MT-25, MT-90, MT-99, MT-128, MT-136, MT-144, MT-145, MT-148, MT-152) comes under the category of moderately resistant class and can be utilize in maize BLSB resistance breeding. Analysis of variance (ANOVA) revealed significant variance between the environment for days to anthesis and silking, anthesis-silking interval (ASI), flag leaf length, flag leaf width, ear per plant, ear length, ear diameter, kernel rows per ear, kernels per row, test weight and grain yield per plant. It indicates greater impact of disease stress on these characters. Correlation analysis exhibited significant correlation of BLSB resistance with flag leaf angle, plant height, ear length, ear diameter, kernel rows per ear, kernels per row, test weight and grain yield per plant. The single-marker ANOVA revealed a total 125 QTLs, of these 4 were major and 121 were minor QTLs for 14 traits. These QTLs were distributed over 10 chromosomes with phenotypic variation ranges from 2.29 to 12.98 per cent. Out of 125 QTLs, 64 and 61 QTLs were detected in E1 and E2, respectively and of which 20 QTLs were common in both the environments. Maximum QTLs were detected in chromosomes 4 and 9 followed by 7, 6, 10, 5, 2, 1, 3 and 8. Consistent QTLs across the environments were identified for days to anthesis (3), days to silking (2), flag leaf length (1), flag leaf width (1), plant height (2), ears per plant (1), node bearing first ear (2), ear length (2), ear diameter (1), kernel rows per ear (3), test weight (1) and grain yield per plant (1). The single-marker ANOVA analysis revealed one major QTL on chromosome 5 and four minor on chromosomes 1, 3, 4 and 8 for BLSB resistance under DE1. In DE2 however only four minor QTLs one each on chromosomes 1, 3, 5 and 8 were identified. Out of these nine QTLs two were identified across the environments that were linked with markers umc1500 and phi10918, considered as stable QTLs. Among seven identified QTLs for BLSB resistance, a major QTL linked with phi10918 was colocalized with three minor QTLs for ear length, kernel rows per ear and kernels per row. Seven minor QTLs for days to anthesis, days to silking, ear length, ear diameter, kernel rows per ear, kernels per row and grain yield per plant were co-localized with a minor QTL for BLSB resistance that linked with marker umc1720. One minor QTL for BLSB resistance that was linked with phi420701 was collocated with a major QTL for plant height. Remaining two minor QTLs for BLSB resistance namely, umc1500-linked QTL and umc2000-linked QTL were colocalized with QTL for test weight and ear per plant, respectively. The investigation successfully identified lines with desirable traits that can be utilized in stress resistance breeding. Co-localized QTLs identified for various morphological traits and disease resistance can integrate/pyramid in breeding materials for improving BLSB resistance.
  • ThesisItemOpen Access
    Evaluation of red rot resistance potential of selected clones from segregating progenies of sugarcane (Saccharum Sp. Complex)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Tabassum; Jeena, A.S.
    The present investigation entitled “Evaluation of red rot resistance potential of selected clones from segregating progenies of sugarcane (Saccharum sp. Complex)” was conducted with 142 bi-parental and general collection progenies along with five check and two parental varieties to investigate red rot resistance potential, estimation of genetic parameters, correlation and path coefficient, assessment of genetic diversity among clones and revalidation of 56 red rot related SSR markers to aid breeding programmes. The experiment wasconducted in augmented block design- II for two seasons during 2017 to 2019 at N.E.B. Crop Research Centre, G.B.P.U.A.&T.Pantnagar. Analysis of variance revealed that all the genotypes differed significantly for all the thirteen cane yield and juice quality characters under study. Based on mean performance, clone PC-2013-14-175 was identified as best performer for juice quality characters and PC-2013-14-221 for cane yield contributing characters. High magnitude of GCV, PCV along with high h2b and GAM were recorded for germination percent, number of tillers, NMC, cane yield and CCS yield indicatingthe prevalence of additive gene action in the expression of these characters. Correlation coefficient study revealed that cane yield exhibited highly significant positive correlation with seven characters viz., germination %, number of tillers, NMC, single cane weight, cane height, cane diameters and CCS yield at both phenotypic and genotypic levels. Path coefficient analysis revealed that CCS yield, sucrose percent and number of millable canes exerted higher positive direct effects on cane yield. CCS yield exerted higher positive indirect effects on cane yield via all the characters under study except through brix percent. The clones were clustered into 18 clusters through Mahalanobis D2 analysis. PC-2013-14-376 (cluster XIII), PC-2013-14-146 (cluster VII) and PC-2013-14-180 (cluster XVII) were identified as most promising clone based on their cluster means for cane yield and juice quality characters and these clones could be used as donors for future breeding programme. Marker trait association study based on eighteen polymorphic SSR markers revealed that Six markersviz., SMC278CS, RGA129, RGA057, SMs045, RGA281 and RGA152 were found to be tightly associated with red rot resistance by showing presence of bands in resistant clones but absence in susceptible clones. The significant association provides their worth for future use of these markers in marker-assisted selection for red rot resistance in sugarcane.
  • ThesisItemOpen Access
    Estimation of heterosis, combining ability and molecular diversity in some elite pigeonpea [Cajanus cajan (L.) Millspaugh] genotypes
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-07) Chandra, Deepanshu; Verma, S.K.
    Pigeonpea [Cajanus cajan (L.) Millspaugh] is the second most important pulse crop in India after chickpea. It is a multipurpose food legume crop which can be used as vegetables, food, fodder and fuel. It is an important source of protein and vitamin-B for vegetarian population of our country. Pigeonpea yield has remained low due to several reasons like lack of suitable varieties and production techniques for different farming systems, poor plant type, poor crop management and prevalence of different biotic and abiotic stresses. The present investigation was carried out to find out the promising single cross hybrids in pigeon pea based on combining ability and heterosis analysis for seed yield and yield contributing characters at N. E. Borlaug Crop Research Centre, G. B. Pant University of Agriculture and Technology, Pantnagar. and to assess the extent of molecular diversity among some elite pigeonpea genotypes using SSR molecular markers was conducted in Pulse breeding lab, Department of Genetics and Plant Breeding. In present study, eight pigeonpea genotypes were crossed in all possible combinations in a half diallel fashion to produce 28 F1s during kharif, 2017. A total of 37 genotypes comprising eight parents, 28 F1’s (excluding reciprocals) and one check variety viz., Pant A 291 were evaluated in a Randomized Block Design with three replications during kharif, 2018. The analysis of Variance revealed significant differences for all the characters studied. The analysis of variance for combining ability indicated that both the additive and non-additive gene action was important for the expression of different traits. The estimates of 2 SCA were found higher than 2 GCA indicating a very good prospect for the exploitation of non-additive genetic variation for all the characters studied. Among the parental lines Pant A 421 was ranked as the best parent as it had good GCA for eight different yield attributing traits including seed yield per plant. Regarding the specific crosses, Pant A 421 x Pant A 477 revealed highly significant per se performance, highly significant SCA effects as well as high standard heterosis over check Pant A 291 for seed yield per plant. The nature and magnitude of heterosis revealed that high heterosis for grain yield was mostly accompanied by major yield contributing traits. For seed yield per plant, the crosses Pant A 421 x Pant A 477 and Pant A 421 x Pusa 2013-2 were found to be better than the standard check Pant A 291. Molecular diversity analysis was carried out to know the extent of divergence among 20 genotypes using 20 SSR markers, out of which 10 markers showed polymorphism. Polymorphic Information Content (PIC) value ranged from 0.33 to 0.66 among 20 genotypes. Marker ASSR 363 was most informative based on its highest PIC of 0.66. Studying dendrogram it was evident that genotype Pusa 992 and genotype ICPL 288 were most diverse among all the 20 genotypes indicating that the cross combination between genotype Pusa 992 and genotype ICPL 288 could give more heterotic hybrids due to their highly diverse nature.
  • ThesisItemOpen Access
    Assessment of genetic diversity and G × E interaction in elite genotypes of wheat (Triticum aestivum L.) for zinc and iron content
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Rashmi; Jaiswal, J.P.
    The present investigation were carried out at three locations representing three diverse environments, namely, (i) at N. E. Borlaug Crop Research Centre (NEBCRC), G.B. Pant University of Agriculture and Technology, Pantnagar (2017-18 and 2018-19) and (ii) at G.B. Pant University of Agriculture and Technology Regional Stations, Majhera, Nainital (2018- 2019). The experiment under each environment was laid out in Randamized Block Design with three replications. Genotypes were evaluated for different genetic parameters including variability, stability and diversity. Analysis of variance revealed highly significant differences among the accessions for all the parameters in all environments. The genotypes exhibited high variability for all the nine characters which represent genotypic variability among the genotype for all the characters under study. Under plains condition top three genotypes for grain iron content were PBW 658, HS 526 and DBW 88 and for grain zinc content 22 HRWYT 241, 9 STEMRRSN 41 and AKAW 4739 were most desirable genotypes. Similarly in hilly region the top three genotype for grain iron content were 22 HRWYT 241, 9 STEMRRSN 41 and DBW 88 and for grain zinc content all genotypes show higher mean performance except 22 HRWYT 2413, WL 711 and PBW 644.The pooled analysis of variance of AMMI model for nine different character in three different environments showed that mean sum of squares due to genotypes, environment and G X E interaction were highly significant for all character. Based on ASV, the most stable genotype for grain yield per plot was QLD-46 and BWL-660 ranked the least stable. All the forty nine genotypes were grouped into four clusters and out of four clusters, cluster II contained maximum number of twenty one genotype, followed by cluster IV and I with thirteen and twelve genotypes and cluster III contained minimum number of three genotypes.
  • ThesisItemOpen Access
    Evaluation of yield performance and stability analysis in finger millet (Eleusine coracana (L.) Gaertn.)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Singh, Shripal; Bandyopadhyay, B.B.
    The present investigation was conducted at four different locations, Dehradun (date of sowing June 4, 2018), Ranichouri (date of sowing June 18, 2018) Pantnagar (June 15, 2018) and Majhera (June 6, 2018) during Kharif 2018. The experimental material comprised of 11 genotypes of finger millet viz., PFM-1 (check), PFM-2, PFM-3, PFM-4, PFM-5, PFM-6, PFM-7, PFM-8, PFM-9 (check), PFM-10, PFM-11. These genotypes were evaluated in a randomized block design with three replications and observations were recorded on fourteen characters, days to 50 percent flowering, plant height, number of tillers, number of heads, number of fingers, maximum, minimum, average temperature at flowering and maturity, rainfall at flowering and maturity and grain yield. Data were analysed for stability along with genetic variability, heritability, genetic advance, correlation and path coefficient using appropriate statistical methods. Analysis of variance revealed significant differences among genotypes for all the characters in each location except number of head in (Dehradun, Pantnagar and Majhera), number of fingers (in Dehradun), number of tillers (in Pantnagar and Majhera). In general, PCV estimates were higher than the corresponding GCV estimates in all the four locations no significant differences in PCV and GCV observed in maximum, minimum and average, temperature at flowering and maturity, rainfall at flowering and maturity in all the four locations. The study of correlation revealed that rainfall and temperature played vital role in grain production an increase in degree days of temperature at flowering (i.e., vegetative growth) and low degree days at maturity (i.e., less duration of post-flowering growth supported grain production of finger millet at both locations I (Dehradun) and location II (Ranichouri). While an increase in maximum and average temperature at flowering and decrease in minimum temperature at maturity were found suitable for grain production of finger millet at Pantnagar condition and increase in maximum temperature at flowering, average temperature and rainfall at maturity favoured grain production in finger millet at Majhera. Path coefficient study revealed that variability in grain production could be explained satisfactorily by considering 13 component traits in all four locations. Pooled analysis of variance showed significant G×E interaction effect for days to 50 per cent flowering, plant height, number of head, number of finger per plant, average temperature at maturity, rain fall at maturity and grain yield. Stability analysis suggested that PFM-4 appeared as stable genotype, while PFM-3 performed well under the favourable environmental condition and PFM-9 was found stable but not usable for selection due to low mean values. Estimates of genetic parameters over all 4 locations suggested that plant height was contributed by additive gene effect whereas the rest characters were contributed by non-additive gene effect.
  • ThesisItemOpen Access
    Combining ability and heterosis analysis for yield and drought related traits in chickpea (Cicer arietinum L.)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-07) Shivani; Arora, Anju
    The present investigation was undertaken to identify promising parents and crosses through Line × Tester analysis involving eight lines (PG 3, PG 4, PG 5, PG 114, PG 186, GNG 1581, CSJ 515 and GNG 1958) and three testers (ICC 4958, ICC 16350 and ICC 16351) for yield and drought related physiological traits based on GCA and SCA effects. Heterosis was also estimated to identify superior combinations. Crosses and parents were evaluated for different eleven agronomic traits (days to 50 % flowering, days to maturity, plant height, number of primary branches per plant, number of secondary branches per plant, number of pods per plant, number of seeds per pod, 100 seed weight, biological yield per plant, seed yield per plant and harvest index) and eight drought related traits viz. relative water content, chlorophyll a, chlorophyll b, total chlorophyll, carotenoid, proline content, membrane stability index and canopy temperature depression at 50% flowering and pod formation stages. Analysis of variance for yield and related traits was found significant for all the eleven traits studied. The analysis of variance for combining ability in yield related traits indicated that both additive and non additive gene actions were important for expression of the traits. The estimates of 2 sca were found to be higher than 2 gca for all the traits except for plant height and number of pods per plant. The parents PG 186, GNG 1581 and CSJ 515 were found to be promising general combiners for maximum number of yield and related traits. The crosses GNG 1581 × ICC 4958 and CSJ 515 × ICC 4958 were identified as potential crosses based on significant SCA effects and heterosis over mid, better and standard parents. Analysis of variance for drought related physiological traits was found significant for all the traits except carotenoid content at 50% flowering stage. Analysis of variance for combining ability indicated significant Line × Tester results for all the eight traits at both the stages. The estimates of 2 sca were found to be higher than 2 gca for all the traits examined at both the stages, indicating good prospects for exploitation of non-additive genetic variance for physiological traits. The parents PG 3, PG 5 and PG 186 were found to be promising general combiners for maximum number of drought related physiological traits including proline content, relative water content, at either 50% flowering or pod formation stages. The crosses GNG 1958 × ICC 4958 and PG 186 × ICC 16351 were identified as potential crosses based on significant SCA effects and estimation of heterosis over mid, better and standard parents at both the stages. Overall, PG 186 was the most promising parent for higher yield as well as drought tolerance traits. GNG 1581 × ICC 4958 was the promising cross for yield and drought related traits in chickpea based on significant SCA values and estimates of heterosis over mid, better and standard parents.
  • ThesisItemOpen Access
    G X E interaction and genetic studies for agronomic and climate resilent traits in bread wheat (Triticum aestivum L. em. Thell)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-07) Joshi, Sivendra; Jaiswal, J.P.
    The present investigation was carried out during two sowing seasons Rabi 2016-17 and 2017-18 at three different date of planting i.e. 20 Nov. 2016 (E1), 24 Dec. 2016 (E2), 16 Jan. 2016 (E3), 20 Nov. 2017 (E4), 24 Dec. 2017 (E5), 16 Jan. 2018 (E6) for 24 wheat genotypes. The experimental material was evaluated in RBD with three replications by planting in three different environments each year at N. E. B. Crop Research Centre of GBPUA&T, Pantnagar, Uttarakhand. These genotypes were evaluated for different genetic parameters including variability, diversity, stability and molecular genetic diversity. The analysis of variance for different traits revealed highly significant mean sum of squares for all traits viz., days to heading, days to maturity, plant height, peduncle length, tiller number/meter square, spike length, number of spikelet/spike, number of grains/spike, grain weight/spike, 1000-kernel weight, biological yield, grain yield, harvest index, grain filling duration, Canopy Temperature Depression (CTD) ( taken in three stages namely heading, anthesis & physiological maturity) and Normalized Differentiation Vegetation Index (NDVI) (taken in three stages namely heading, anthesis & physiological maturity) under all environments. The 24 genotypes were grouped into five clusters in timely sown (E4) environment while in late sown environment (E5) seven clusters were obtained. In timely sown (E4) environment plant height contributed the maximum to the diversity while in late sown (E5) 1000- grain weight contributed the maximum to the diversity. The pooled analysis of variance of AMMI model for eight different characters in six different environments showed that mean sum of squares due to genotypes, environments and G x E interaction were highly significant for all characters. Based on the ASV, the most stable genotype for grain yield per plot was Giza 155 and Bacanora was ranked the least stable. In terms of grain yield /plot HD 2967 had the highest rank. Three genotypes PBW 343, Giza168, HD 2967 were found to be best in terms of more grain yield/plot and stability. Molecular characterization revealed that out of 28 SSR markers only 14 were found to be polymorphic. Marker Xgwm294 was most informative marker based on highest PIC of value 0.85. Marker Xgwm148 revealed that genotypes Kenyia TK 18, Raj 4037, PBW 343, Heines Peko, Raj 3765, Giza168, HD 2967 and Sunstar were heat tolerant. On basis of Jaccard similarity coefficient 24 genotypes were divided into two major clusters A and B. Genotypes viz., Kenyia TK18 and IC 212185 were found to be most diverse lines in the present study. On the basis of above results, it can be concluded that these 24 wheat genotypes under study contains sufficient amount of genetic variability and genetic diversity for heat tolerance hence these genotypes can be used in wheat breeding programs to develop tolerant varieties for heat.
  • ThesisItemOpen Access
    Characterization of bread wheat genotypes for morpho-physiological traits and sucrose synthase activity in relation to heat tolerance
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Nagaraja, B.S.; Jaiswal, Jai Prakash
    The present investigation was conducted during rabi, 2018-19 with two dates of sowing, 3/12/2018 (D1-early late) and 25/12/2018 (D2-late) at Norman E. Borlaug Crop Research Centre, Pantnagar. The lab work for estimation of sucrose synthase (SuSy) activity was done in Wheat Research Laboratory by collecting seed sample from the experimental field at physiological maturity stage. The study included the following objectives: (i) To determine the various morpho-physiological traits associated with heat tolerance; (ii) To estimate various variability parameters; (iii) To estimate genetic diversity among different genotypes for heat tolerance; (iv) To estimate the amount of sucrose synthase activity in different wheat lines. The experimental material of the study consisted of 160 BISA Core set bread wheat genotypes along with 4 checks, HD 2967, WH 1105, PBW 343 and Agra Local. The experiment was carried out in Augmented Block Design-II. Observations were recorded on 19 characters on plant/ plot basis, three random plants were tagged to record the observations. The analysis of variance revealed that there was wide range of variation among the genotypes for different characters. In the present study the GCV and PCV in both the sowings ware found to be moderate for number of productive tillers/m biological yield/m, grain yield/plot, canopy temperature depression I and II, however these were low for days to 75% heading, days to anthesis, days to maturity, plant height, spike length, spikelets/spike, grains/spike and grain weight/spike. The GCV was observed moderately high for 1000 kernel weight, harvest index and normalized difference vegetative index-I, II, III and CTD-I & II, which indicates that there exists possibility of improvement of genotypes through these characters. The diversity among these genotypes was analysed by the Hierarchial cluster analysis method. The clusters were ranked based on the overall score for all the 19 traits. Accordingly, in D1 cluster V with 3 genotypes ranked first with overall score of 7, and in D2 cluster 1 with single genotype indicating presence of most promising genotype, which can be extensively used for further breeding programmes to generate new breeding material. After assessing the sucrose synthase activity in BISA Core set bread wheat germplasm. it was confirmed that there existed significant variation for its activity among the genotypes. The lines BISA 9, 40, 120, 142, 152 have higher SuSy activity and have moderate to higher thousand kernel weight and high grain yield. Therefore, it implies that the SuSy activity significantly contributes towards the grain yield and hence these genotypes possess higher SuSy activity have higher heat tolerance capacity.
  • ThesisItemOpen Access
    Response of flax (Linum usitatissimum L., Griesb.) genotypes to environment: Assessment of genetic variability in fibre yield and its component traits
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-07) Tamta, Anupama; Bandyopadhyay, B.B.
    Field experiment on 18 fibre flax (Linum usitatissimum L., Griesb.) genotypes were carried out during the rabi season on two consecutive years viz., 2016-17 and 2017-18 at N.E Borlaug Crop Research Centre (CRC) in G.B.P. U.A.T, Pantnagar (29o N, 79o29”E at an altitude of 243.83m). An investigation into assessment of genetic variability, inter character association and path coefficient analysis were performed on individual year separately along with the response of their genotype × environment interaction effect on physiological production capacity of fibre yield and expression of component traits were examined through pooled analysis across two environments. The seeds of 18 fiber flax genotypes were obtained from CRIJAF Barrakpore, and were planted during 16 October and 13 November for the year 2016-17 and 2017-18 respectively in Randomized Block Design (RBD) with three replications. In order to encourage slender, linear un-branched plants, dense planting of the seeds were adopted in 25cm apart rows. The plot size was maintained 3 4 m2. Standard agronomic practices were carried out periodically throughout the crop growth till final harvest at maturity. Ten randomly selected flax plants were considered for recording of observation on 13 quantitative characters of fiber flax, which included technical height, green stem weight, wet mass of straw, air dry straw yield, fiber weight (observations were taken at both flowering and maturity), days to 50% flowering, no of leaves, and 3 qualitative characters of fiber flax, which included elongation, force and tenacity. The results revealed significant differences for all the traits among genotypes both in individual years. On pooled analysis fiber weight at flowering and fiber weight at maturity exhibited significant variations for genotype × environment interaction effect and environments. The genotypic differences on pooled analysis appear for technical height, green straw weight (both at flowering and maturity), force and tenacity. The preponderance of additive genetic control in expression of characters was registered for fiber weight at flowering and maturity. Correlations coefficient and path coefficient analysis suggested that technical height at flowering and maturity, green straw weight at maturity, wet mass of straw at flowering and fiber weight at flowering were the important component traits for the improvements of fiber weight at maturity. Nine genotypes were identified as promising for different traits. These included JRF-17 (technical height at flowering, fiber weight at flowering), JRLU-1 (fiber weight at flowering, wet mass straw at flowering and maturity), JRFS-1 (wet mass straw at flowering and maturity), JRF-16, JRF-18 (fiber weight at flowering), JRF-7,JRF-9,JRF-10 (technical height at flowering), JRFJ-1 (wet mass straw at flowering). Effective utilization of these nine genotypes lead to introduce wider adaptation across environment and would encourage in developing superior high yielding flax genotype as one of the parents in hybridization programme.