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Theses

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2007 - 200912010 - 20195
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Author: Suman × Start date: 2002 × Type: Thesis × Thesis Type: Ph.D ×
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Now showing 1 - 6 of 6
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    ThesisItemOpen Access
    Synthesis of bioactive heterocyclic compounds using green synthetic methods and their bioevaluation
    (CCSHAU, 2019) Suman; Rajvir Singh
    Green chemistry is a sustainable approach to explain latest research topics and expresses an area of scientific discoveries about pollution awareness. Green chemistry is the future chemistry which is simple, efficient and benign in all steps of particular synthesis processes. Coumarins, chalcones, Pyrazoles and Imidazoles are versatile classes of heterocycles and intermediates for the preparation of other organic compounds due to their effective biological activities. For the preparation of these compounds and their derivatives, different organic solvents and reagents are being used which are quite hazardous to environment and human health due to their volatile and toxic nature. Since last few years attempts are being made for ecofriendly synthesis viz. biocatalysis and synthesis by using green catalyst. Biocatalyst is a magical intermediate which is helpful to overcome the negative environmental effects due to various hazardous and toxic chemicals used in synthetic pathways.Therefore an attempt has been made to synthesize above mentioned classes of compounds by using various green catalyst. Thesecompounds were characterized by spectroscopic technique viz.1HNMR, IR, Elemental analysis and other analytical data. The green catalysts were examined by SEM. Synthesized compounds were screened for their antifungal, herbicidal and antioxidant activities at four different concentrations. Compounds 12 and 10 were found more activeagainst the tested fungi Rhizoctonia solani and Aspergillus niger which have EC50values75.03 and 77.53μg/ml respectively. Compounds 11 and 60 were found more active against Raphanus sativus L. (root) and (shoot) exhibited growth inhibition 82.86, 91.66, 92.12, 97.05% and 43.81, 58.00, 67.01, 89.07% respectively at50, 100, 150, 200μg/ml all concentrations.Compound 84 was found most active with least IC50 36.30μg/ml and showed highest DPPH free radical scavenging capacity at 25, 50, 75, 100μg/ml.
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    ThesisItemOpen Access
    Studies on chemical constituents of Prosopis cineraria (L.) and interaction of phenolics with protein
    (CCSHAU, 2018) Suman; Rajvir Singh
    Prosopis cineraria (L.) Druce is native species of Indian desert, mainly known as “King of Desert”. Its all parts have various parmaceutical and medicinal importance. Plant materials i.e. bark, flowers, leaves and pods of Prosopis cineraria were collected and extracted with hot methanol by refluxing method. The respective extractives were divided into two parts. One major part was subjected to column chromatography which affored a total twenty-two compounds. Bark column contained four compounds namely, 24- methylenecycloartan-3-one, Lupeol, 5,7,4‟-trihydroxy-3‟-methoxy flavanone and β- Sitosterol while six compunds namely, Hexacosane, Tetracosyl tetracosanoate, 1- triacontanol, Patuletin, Bis (cis-13-docosenamido) methane and β- Sitosterol from flowers of P.cineraria. leaves afforded eight compounds namely, 1- Heptacosanol, 1- Nonadecanol, Stigmasterol, nonacosane-15-one, 1- tetracosanoic acid, β- Sitosterol, 3-O-methoxy-D-Glucose and 13- docosenamide. Four compounds namely, 1-heptatricontanol, 3,8,8-trimethoxy-3-piperidyl- 2,2‟binaphthalene-1,1‟,4,4‟-tetrone, β- Sitosterol and Catechin were isolated from pods of Prosopis cineraria. Various phytochemical activities like total phenolic content, total flavonoids, mineral contents and phenolics interaction with protein were evaluated from methanolic extract and their fractions. Total phenolic contents were found to be maximum in methanol fraction of pods of Prosopis cineraria while acetone fraction of pods contained maximum total flavonoid content. P. cineraria possessed mineral content in trend of N> P> K> Fe> Cu> Zn> Mn. Acetone fraction of pods part was found to be maximum protein binding capacity at highest concentraction (10μg/μl). It was significantly showed that P. cineraria has nutritionl and digestible value of various fractions by stepwise increased in the percentage activity at different concentrations.
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    ThesisItemOpen Access
    Genotyping and phenotyping of pearl millet [Pennisetum glaucum (L.)R.Br.] hybrids and their parental lines
    (CCSHAU, 2017) Suman; Chhabra, A.K.
    Present study was carried out to characterize pearlmillet hybrids and their parental lines and resemblance between hybrids and their parents. Phenotypic and genotypic diversity in pearl millet [Pennisetum glaucum (L.) R. Br.] was studied using 28 morpho-agronomic traits (15 qualitative and 13 quantitative) and 47 SSR markers. Significant mean sum of squares indicated sufficient variation in the lines. Correlation coefficient analysis during 2011-12 revealed that leaf sheath length, leaf blade length, leaf blade width, number of nodes/ plant, spike length, spike girth, number of productive tillers/ plant, plant height, 1000 seed weight, fresh fodder weight, dry fodder weight have positive and significant correlation with grain yield and during 2012-13, leaf sheath length, leaf blade length, number of nodes/ plant, spike girth, plant height, 1000 seed weight, fresh fodder weight and dry fodder weight have positive and significant correlation with grain yield. Resemblance between hybrids and their parents was higher at molecular level than morphological level. Genotyping with 14 polymorphic markers revealed that Xipcs is highly informative primer as it had highest PIC value (0.49) followed by Xpsmp 2089 (0.48).
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    ThesisItemOpen Access
    ARIMA, state space and mixed modeling for sugarcane yield prediction in Haryana
    (CCSHAU, 2017) Suman; Verma, Urmil
    Forecasting of crop production is one of the most important aspects of agricultural statistics system. Crop production forecasting comprises crop identification, area estimation and predicting the yield of the crop. Understanding the behaviour of crop yields becomes increasingly important for modeling production functions, forecasting price movements and understanding the farmers’ responses to government programs. The statistical modeling approaches viz., ARIMA, state space and linear mixed modeling were used to achieve the district-level sugarcane yield estimation in major mustard growing districts of Haryana. The time-series sugarcane yield data for the period 1960-61 to 2009-10 of Karnal and Ambala districts, 1972-73 to 2009-10 of Kurukshetra district and 1980-81 to 2009-10 of Panipat and Yamunanagar districts were used for the development of different models. The selected models have been validated using the data on subsequent years i.e. 2010-11 to 2014-15, not included in the development of yield forecast models. After experimenting with different lags of moving average and autoregressive processes; ARIMA(0,1,1) for Karnal and Ambala districts and ARIMA(1,1,0) for Kurukshetra, Panipat and Yamunanagar districts were fitted. The underlying parameters of ARIMA models are assumed to be constant however the data in agriculture are generally collected over time and thus have the time-dependency in parameters. State space procedure giving time varying parameters models allow for known changes in the structure of the system over time. Thus, the same time series data were analyzed to achieve sugarcane yield estimates for the same five post-sample years using state space procedures by the application of Kalman filtering technique. Lastly, the linear mixed models with time both as fixed and random effects using different types of covariance structures viz., VC, AR(1) and Toeplitz were developed for sugarcane yield predition in the targeted districts. Finally, the performance of fitted models were decided on the basis of statistic(s) like AIC, BIC and log likelihood etc. Thus, the sugarcane yield estimates for the post-sample years 2010-11 to 2014-15 were obtained on the basis of fitted ARIMA, state space and linear mixed models. The predictive performance(s) of the contending models were observed in terms of percent deviations of sugarcane yield forecasts in relation to the observed yield(s) and root mean square error(s) as well. The state space models performed well with lower error metrics as compared to the alternative models in all time regimes i.e. these models consistently showed the superiority over ARIMA and linear mixed models in capturing percent relative deviations. In addition, the developed models are capable of providing the reliable yield estimates well in advance of the crop harvest while on the other hand, the DOA yield estimates are obtained quite late after the actual harvest of the crop.
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    ThesisItemOpen Access
    Effect Of Various Organic Sources And Bio-Fertilizers On Growth And Yield Of Okra Abelmoschus Esculentus (L.) Moench.
    (Chaudhary Charan Singh Haryana Agricultural University; Hisar, 2007) Suman; Partap, P. S.
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    ThesisItemOpen Access
    Performance Of Pinoxaden Alone And In Combination With Other Herbicides Against Weeds In Wheat
    (Chaudhary Charan Singh Haryana Agricultural University; Hisar, 2010) Suman; Punia, S S