Thumbnail Image

Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

Browse

2004 - 200992010 - 201876
Reset filters
Subject: Genetics and Plant Breeding × End date: 2018 × Type: Thesis × Thesis Type: M.Sc ×
Reset filters

Search Results

Now showing 1 - 9 of 85
  • Thumbnail Image
    ThesisItemOpen Access
    Variability and association studies on bread wheat (Triticum aestivum L.) under timely and late sown conditions
    (CCSHAU, 2018) Sonu; Sehrawat, K.D.
    The present study comprised of forty bread wheat genotypes, which were grown under two environments viz. timely and late sown conditions during rabi season of 2017-18 at the Research Farm of Wheat and Barley Section, Deptt. of Genetics and Plant Breeding, CCSHAU, Hisar. Genotypes were grown in three replications under randomized block design. Observations on five randomly selected plants from each genotypes were recorded for, grain yield per plot (g), number of productive tillers per meter length, 1000-grain weight (g), spike length (cm), number of spikelets per spike, plant height (cm), biological yield per plot (g), harvest Index (%), flag leaf area (cm2), days to heading, days to maturity, canopy temperature depression (0C), chlorophyll fluorescence, heat susceptibility index and heat response index. The objectives of present investigation were to study variability, association and identification of promising heat tolerant genotypes. Significant variability was observed among genotypes for all the traits under both the environments. Significant reduction was observed in mean performance of the genotypes in late sown conditions for all the traits. The estimates of GCV, PCV, heritability and genetic advance were high to moderate in timely sown and late sown conditions for the traits Grain yield per plant, number of productive tillers per meter length, 1000-grain weight, spike length, number of spikelets per spike, flag leaf area, biological yield. Correlation coefficients revealed that number of productive tillers per meter length, spike length, number of spikelets per spike, 1000-grain weight, biological yield, flag leaf area, harvest index gave the positive associations with grain yield in both environments viz., normal sown and late sown. Based on heat susceptibility indices (HSI), genotypes DBW 88 (0.17), Munal (0.23), SHIR ASLAM 23 (0.24), VUGAR (0.25), WH 1142 (0.31), WH 1218 (0.39), HD2329 (0.43) and WH 283 (0.47) were found the most promising heat tolerant genotype. Based on heat response index (HRI), genotypes WH1142 (110.10), Munal (94.30), DBW88 (64.84), DBW90 (63.12), WH110 (46.32), SHIR ASLAM 23 (41.26) and WH1218 (40.49) were found heat tolerant. These results suggest that these genotypes can be used as sources of genetic material for wheat breeding Programmes. Also, stress tolerance indices like HSI, HRI and mean productivity could be used as selection criteria to identify heat tolerant genotypes.
  • Thumbnail Image
    ThesisItemOpen Access
    Assessment of Genetic Diversity and Correlation Analysis in faba bean (Vicia faba L.)
    (CCSHAU, 2015) Praveen kumar; Hooda, J.S.
    An attempt was made to study the genetic diversity among the 65 genotypes of faba bean. Significant difference for various traits indicated substantial amount of variability existed among the genotypes for various traits. High heritability coupled with high genetic advance was observed for seed yield, 100 seed weight, pod length, number of pods per plant, number of branches per plant, number of clusters per plant and days to 50% flowering. In general phenotypic correlation coefficients were higher in magnitude than their genotypic correlation coefficient. Seed yield per plant was found to be positively and significantly correlated with days to 50% flowering, days to maturity, number of branches per plant, number of cluster per plant, number of pods per plant, pods length, number of seeds per pod and 100 seed weight. Path analysis revealed that characters such as 100 seed weight and number of pods per plant were the major component traits of seed yield and hence these characters should be given priority in selection in view of their high heritability coupled with high genetic advance also. Following non hiericial eucleadean cluster analysis all 65 genotypes were grouped into 9 clusters with variable number of genotypes. On the the basis of data on genetic diversity and mean performance of matric traits nine diverse and superior genotypes namely EC-628955, EC-628942, EC- 628937, EC-628936, EC-591755, EC-3134, EC-2112, EC-628930 and EC-591776 were identified as promising for most of the traits. So these genotypes may be used in further crop improvement programme.
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic diversity and association analysis for seed yield and quality characters in pigeonpea [Cajanus cajan (L.) Millsp.]
    (CCSHAU, 2018) Yogesh; Ravika
    Seventy five pigeonpea genotypes were evaluated for 17 seed yield and quality attributes during Kharif 2017-18 to ascertain genetic variability, genetic divergence, correlations and path coefficients. Significant variability was observed among genotypes for all the traits studied. High heritability coupled with high genetic advance for traits viz., biological yield per plant, number of seeds per pod, 100 seed weight, number of pods per plant, tryptophan, tannin and fat content, indicated additive gene effects. Seed yield per plant exhibited positive significant correlation with number of branches per plant, number of pods per plant, number of seeds per pod, biological yield per plant, 100 seed weight and harvest index. Biological yield per plant had highest positive direct effect on seed yield per plant followed harvest index, number of pods per plant and number of branches per plant. Biological yield, apart from its direct effect on seed yield, exhibited positive indirect effect via days to flowering and maturity, number of branches, seed weight, number of seeds per pod, number of pods per plant and plant height. Therefore, these traits should be given higher priority in direct selection for high yielding pigeonpea genotypes. No association of quality traits was observed between yield and quality traits, however, crude protein was found to be negatively associated with ash, fat, crude fiber, methionine and tryptophan content. Hierarchical cluster analysis grouped the genotypes into ten distinct clusters and maximum inter cluster distance was observed between cluster II and VIII followed by cluster II and VI and cluster II and IX. Hybridization between the genotypes belonging to these distinct clusters are expected to produce desirable transgressive segregants. Genotypes AL 1404, AL 156-04, ICPL 89011-1, AL 668 and AH 09-38 were found promising for both yield and quality traits and also belonged to distant clusters hence can be utilized for future pigeonpea improvement programmes.
  • Thumbnail Image
    ThesisItemOpen Access
    Evaluation and characterization of maize (Zea mays L.) genotypes for morphological, grain yield and quality traits
    (CCSHAU, 2018) Vikash; Kamboj, M.C.
    The present investigation entitled “Evaluation and characterization of maize (Zea mays L.) genotypes for morphological, grain yield and quality traits” was carried out during Kharif season of 2017. The observations were recorded for 33 morphological (qualitative and quantitative) and two quality parameters to assess the genetic diversity and character association in 40 maize genotypes. Analysis of variance revealed sufficient variability for all the 13 quantitative traits and non-significant for one trait under study. The GCV and PCV estimates were high Ear Placement, Plant height, Tryptophan, 1000 grain weight, Grain yield. High heritability coupled with high genetic advance was observed for traits viz., Ear Placement, Plant height, Tryptophan, 1000 grain weight, Grain yield, Width of blade, Ear length, Ear diameter, Length of main axis above lower side branch, Crude Protein.The Mahalanobis D2analysis grouped 40 maize genotypes into five clusters. The inter cluster distance was observed maximum between cluster II and cluster V. Principal component analysis (PCA) transformed the original 13 interrelated variables into four major principal components those explaining 70.47 per cent of total variation in the data. Varimax rotation enabled loading of all the traits on different principal factors. The first principal factor was closely associated with grain yield and its contributing traits, whereas principal factor four showed high loading for quality parameters.
  • Thumbnail Image
    ThesisItemOpen Access
    Principal component analysis for fodder yield and its related traits in forage sorghum [Sorghum bicolor (L.) Moench]
    (CCSHAU, 2018) Harsh Deep; Arya, Satyawan
    The present investigation entitled “Principal component analysis for fodder yield and its related traits in forage sorghum [Sorghum bicolor (L.) Moench]” was carried out during Kharif season of 2017. The observations were recorded for 12 morphological (qualitative and quantitative) and eight quality parameters to assess the genetic diversity and character association in 73 forage sorghum genotypes. Analysis of variance revealed sufficient variability for all the 18 quantitative traits under study. The GCV and PCV estimates were high for plant height, green fodder yield, dry fodder yield, HCN and copper content. High heritability coupled with high genetic advance was observed for traits viz., green fodder yield, dry fodder yield, number of tillers per plant, plant height, leaf breadth, stem diameter, leaf: stem ratio, number of leaves per plant, HCN content, copper content, crude protein, TSS content, zinc content, copper content, manganese content and iron content.The Mahalanobis D2analysis grouped 73 forage sorghum genotypes into seven clusters. The inter cluster distance was observed maximum between cluster IV and cluster VII. Principal component analysis (PCA) transformed the original 18 interrelated variables into seven major principal components those explaining 69.79 per cent of total variation in the data. Varimax rotation enabled loading of all the traits on different principal factors. The first principal factor was closely associated with fodder yield and its contributing traits, whereas principal factor three and four showed high loading for quality parameters.
  • Thumbnail Image
    ThesisItemOpen Access
    Molecular diversity and combining ability analysis for yield and quality attributes in diallel crosses of upland cotton (Gossypium hirsutum L.)
    (CCSHAU, 2018) Sagar; Somveer
    The current study constituted forty six Gossypium hirsutum L. genotypes viz., 36 hybrids resulting from their nine parents and one check hybrid HHH 223. The crossing programme was done during kharif 2016 in half diallel mating design. All these genotypes viz., 9 parents, 36 hybrids, one check hybrid HHH 223 were grown in randomized block design during kharif 2017 at Cotton Research Area, CCS Haryana Agricultual University, Hisar. Data was recorded for following characters namely, days to first flower, plant height (cm), numer of monopods, number of sympods, number of bolls, boll weight(g), seed cotton yield per plant (g), ginning out turn (%), seed index, lint index, fibre length (mm), upper half mean length (mm), fibre strength (g/tex) and micronaire value (μg/inch). The analysis of variance revealed significant results for all the characters under study except seed index. The parents H 1353 and H 1098i on the basis of gca estimates were the best general combiners for seed cotton yield whereas, H 1476 H and H 1465 for fibre quality. On the basis of sca estimates the best specific combiners out of 36 cross combinations were H 1465 × H 1226, H 1300 × H 1226 and H 1490 × H 1464 for seed cotton yield and H 1316 × H 1490, H 1098i × H 1490 and H 1465 × H 1226 for fibre quality parameters. Among hybrids, maximum heterosis was observed in H 1465 × H 1226 for seed cotton yield (42%), plant height (27.08%) and number of bolls (65.30%), suggesting that all these traits are correlated with each other. For seed cotton yield highest per se performance was recorded in H 1465 × H 1226 having highest heterotic effect. Hence, these above crosses need further testing in different environments for future breeding programmes. Molecular diversity among nine parents was analysed using ISSR markers. Primers ISSR 32 and UBC 842 were recorded with maximum PIC value (0.68) indicating maximum contribution of these primers for diversity analysis. The NTSYS-pc UPGMA tree cluster analysis resulted that nine parental genotypes were quite distinct. Nine parental genotypes formed four clusters at 69% similarity index. The use of genotypes from these different clusters in hybridization is assuring to produce feasible heterotic combinations in forthcoming breeding programmes.
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic variability and diversity for morphological and seed vigour parameters in barley (Hordeum vulgare L.)
    (CCSHAU, 2018) Suman Devi; Yogender Kumar
    The objectives of present investigation were to determine the magnitude of variability, character association and to study the genetic divergence for various morphological and seed vigour parameters in 50 genotypes of barley under timely and late sown conditions. Significant variability was observed among genotypes for all the traits studied under both the environments. The genotypes IBYT-HI-15, AZAD, BH 959, IBYT-HI- 19, BH 14-42 and BH 14-25 showed significantly higher grain yield than general mean under timely sown condition and under late sown condition, the genotypes namely IBYT-HI-15, RD 2904, BH 902, IBYT-HI-13, HUB 242, IBYT-HI-17, DWR 137, K 560 and DWRB 101 have been found promising. Genotypic correlation estimates under timely sown condition showed significant positive association of grain yield per plot with harvest index, biological yield, germination per cent, 1000 grain weight, accelerated ageing (48 h, 72 h) and days to maturity, similarly under late sown conditions, positive and significant correlation of grain yield was recorded with harvest index, biological yield, 1000 grain weight, vigour index-I, seedling dry weight and number of tillers per meter. The path coefficient analysis revealed that biological yield per plot, harvest index, seedling length and vigour index-II exerted highest positive direct effects on grain yield per plot under both environments. The Euclidean cluster analysis assigned all the genotypes into eight distinct clusters each under both the conditions. The improvement in barley could be achieved through the use genotypes assigned in clusters I and VII under timely sown, whereas the genotypes which contained in cluster II and VI might be considered as potential parents under late sown to obtain high heterotic response and consequently better segregants for grain yield.
  • Thumbnail Image
    ThesisItemOpen Access
    Phenotyping and molecular marker analysis of different population derived from cross DBW17 x WH1105 of wheat
    (CCSHAU, 2018) Gupta, Vijeta; Mukesh Kumar
    The present investigation entitled Phenotyping and molecular marker analysis of different population derived from cross DBW17 x WH1105 of wheat , consisted of parents (DBW17 and WH1105), F3, BC1F2 and BC2F2 population to study the inheritance and molecular aspects of yellow rust resistance and genetics of quantitative traits including grain yield and its component traits. The characterization was done on the basis of 11 morpho-physiological traits. F3, BC1F2 and BC2F2 populations had ample amount of variability for all traits under study. These traits can be used for selection in further generations. The correlation studies revealed the positive relation of all the traits with grain yield except days to heading and plant height in all the three populations. On the basis of cluster analysis 100 plants of F3 generation were grouped into seven clusters while 100 plants of BC1F2 were grouped into 9 clusters and 50 plants of BC2F2 were grouped into 7 clusters based on the relative magnitude of their D2 values. Molecular analysis was also done using 99 SSR markers, 15 were found polymorphic among parents and their three populations. It was confirmed by NTSYS-PC UPGMA cluster tree and dendrogram that two parents were diverse genetically and the progeny lines were interspersed between the two parents in F3 population and in both backcrosses progeny lines resembled their respective recurrent parents. Two and three dimension principal component analysis (PCA) based on SSR markers data showed similar clustering as was evident from cluster tree analysis. Single marker analysis of primers revealed that primers on nine chromosomes were associated with grain yield per plant and other yield attributes in all the three populations. The marker Xgwm374 was most tightly linked with the spike length at 0.01% significance. In BC2F2 population marker Xgwm582 showed linkage with yellow rust locus and other yield attributes at 5% significance. These markers can be used for selection and pyramiding of the genes.
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic diversity analysis in exotic and indigenous lines of Indian mustard [Brassica juncea (L.) Czern & Coss.]
    (CCSHAU, 2018) Huynh Thi Phuong Lien; Ram Avtar
    The study entitled “Genetic diversity analysis in exotic and indigenous lines of Indian mustard [Brassica juncea (L.) Czern and Coss.]” was conducted to estimate extent and nature of genetic variability, heritability, genetic advance and genetic diversity among 75 genotypes during Rabi 2016. Analysis of variance indicated the existence of considerable genetic variation among the material. Genetic divergence enabled grouping of all the 75 genotypes into 15 clusters for 13 different traits. Out of 15 clusters, the cluster I was the largest cluster which contained 46 genotypes. The cluster V had 8 genotypes, cluster III consisted 7 genotypes, and cluster XII included 3 genotypes. The clusters II, IV, VI, VII, VIII, IX, X, XI, XIII, XIV and XV were solitary clusters with single genotypes.The highest intra-cluster D2 value were observed for cluster XII (15.51). The average inter cluster D2 values was maximum (38.15) between cluster XII and XV followed by between cluters II and XV (37.27). The cluster II showed highest cluster mean values for seeds yield per plant (28.65g), higher siliquae length (4.78cm) and with bold seed size (6.57g). Cluster XV was superior for days to 50% flowering, day to maturity and plant height. High heritability (broad sense) coupled with high genetic advance as per cent of mean was observed for 1000-seed weight, seed yield per plant, days to 50% flowering, siliqua length, number of siliquae on main shoot and plant height. Therefore, these traits were found under the control of additive gene and direct selection would be effective and beneficial for further improvement of these traits. The genotypes viz., IC-570302, IC-520747, RH0749, IC122427, EC-766480, EC-766040 and IC-470935 were found promising for seed yield and its main comonents.