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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.

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Subject: Statistics × End date: 2018 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Random walk and ARIMAX modeling for cotton yield in western zone of Haryana
    (CCSHAU, 2018) Alisha; Verma, Urmil
    Crop yield models are abstract presentation of interaction of the crop with its environment and can range from simple correlation of yield with a finite number of variables to the complex statistical models with predictive end. The pre-harvest forecasts are useful to farmers to decide in advance their future prospects and course of action. The study has been categorized into three parts i.e. the fitting of Random Walk, ARIMA and ARIMAX models for cotton yield forecasting in Hisar, Fatehabad, Sirsa and Bhiwani districts of Haryana. The Random Walk and ARIMA models have been fitted using the time-series cotton yield data for the period 1980-81 to 2010-11 of Hisar and Sirsa districts and 1997-98 to 2010-11 of Fatehabad district. The fortnightly weather data have been utilized as input series from 1980-81 to 2016-17 for fitting/testing the Random walk/ARIMA with weather input i.e. ARIMAX models. Models have been validated using the data on subsequent years i.e. 2011-12 to 2016- 17, not included in the development of the models.The multiple linear regression models with crop condition term as dummy regressor were fitted for Bhiwani district as the cotton yield data being stationary in nature and showing non-significant autocorrelations was not suitable for ARIMA modeling. Though, the MA models were tried but the yield forecasts were beyond acceptable limits. Random Walk i.e. I(1) and ARIMA(0,1,1) for Hisar, Fatehabad and Sirsa districts have been fitted for pre-harvest cotton yield forecasting. Alternatively, the Random Walk models with exogenous input were tried by utilizing the fortnightly weather variables (viz., TMIN1, RF11, SSH3 and SSH4 over the crop growth period). Lastly, the ARIMA models with alternative combinations of weather variables were tried for fitting the ARIMAX models. Following the steps required in SPSS; ARIMA(2,1,0) for Hisar and Fatehabad and ARIMA(0,1,1) for Sirsa districts along with fortnightly weather variables (viz., TMAX5, RF7, SSH4 and RH4 over the crop growth period) as input were finalized as ARIMAX models for district-level cotton yield forecasting. The predictive performance(s) of the contending models i.e. Random Walk, ARIMA and ARIMAX models were observed in terms of the percent deviations of cotton yield forecasts in relation to the observed yield(s) and root mean square error(s) as well. The level of accuracy achieved by ARIMA model(s) with weather input was considered adequate for estimating the cotton yield(s) i.e. the ARIMAX models consistently showed the superiority over Random Walk and ARIMA models in capturing the percent relative deviations pertaining to cotton yield forecasts. The ARIMAX models performed well with lower error metrics as compared to the Random Walk and ARIMA models in all time regimes.
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    ThesisItemOpen Access
    Comparative performance of different ratio estimators of population mean
    (CCSHAU, 2018) Tanu; Manoj Kumar
    In this study, an attempt has been made to compare the performance of different ratio estimators. For the said purpose, ratio estimators by different researchers have been taken. Comparison of proposed estimators have been done pair wise over bias and mean squared error. Theoretical conditions were also developed when one estimator is better than the other. A total of forty six conditions were found on each bias and mean square error. Theoretical conditions were also compared using the empirical data set in which all the parameters required for the estimators were calculated. R-software code also developed to compare the bias, mean square error and percentage relative bias for different estimators. It was observed that estimator proposed by Subramani and Kumarapandiyan ( ere found be the best in term of bias, mean square and percentage relative bias with all the proposed estimators whereas estimator proposed by Kadilar and Cingi (2004) found to be the worst estimator empirically.
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    ThesisItemOpen Access
    Evaluation of G × E interaction in pearl millet using AMMI and GGE biplot analysis
    (CCSHAU, 2018) Mamata; Hooda, B.K.
    In the present study, the G × E interaction in pearl millet (Pennisetum glaucum L.) genotypes from three zones of India have been evaluated using the techniques of AMMI and GGE biplot analysis. AMMI ANOVA indicated that environment contributes maximum part of variation followed by genotype × environment interaction and genotype. Interaction principal component axes i.e. IPCA1, IPCA2 and IPCA3 were found to be significant in all three zones. On the basis of ASV, genotypes MH 2091, MH 2120 and MH 2114 while from stability index, genotypes MH 2085, MH 2105 & MH 2108 were found to be most stable for Zone A1, Zone A and Zone B respectively. From YSI and WI, genotypes MH 2101 & MH 2091 and genotypes MH 2109 & MH 2107 were found most stable with high yield for Zone A1 and Zone A respectively while for Zone B, genotypes MH 2123 & MH 2113 and MH 2123 & MH 2114 were found most stable with high yield on the basis of YSI and WI respectively. SI (%) indicated two groups of stable genotypes i.e. very low & low for Zone A1 and low & moderate for Zone A and Zone B, respectively. Spearman‟s rank correlation coefficient between YSI and WI for all the three zones showed that the two indices have almost equal performance in determining high yielding stable genotypes. From scatter plot of normalized grain yield and normalized ASV most stable (Zone A1(MH 2085),Zone A(MH 2120)- and Zone B(MH 2120)), high yielding (Zone A1(MH 2098),Zone A(MH 2129)- and Zone B(MH 2106)) and most stable with high yielding (Zone A1(MH 2101),Zone A(MH 2109)- and Zone B(MH 2123)) genotypes were obtained. Three major aspects of GGE biplots indicated mega environment analysis, test environment evaluation and genotype evaluation. GGE biplots found the most stable genotypes MH 2087, MH 2098 & MH2081 for Zone A1, MH 2106 & MH 2129 for Zone A and MH 2103, MH 2106 & MH 2119 for Zone B. MH 2101, MH 2107 & MH 2113 were found to be high yielding genotypes for Zone A1, Zone A and Zone B, respectively. MH 2091, MH 2111 & MH 2106 were found to be most stable with high yielding genotypes for Zone A1, Zone A and Zone B.
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    ThesisItemOpen Access
    Some Contributons to Jacknife Methodology and Its Applications
    (Department of Mathematics And Statistics College of Basic Sciences and Humanities Punjab Agricultural University, 1984) Saxena, Kuldeep Kuamr; Srivastava, O. P.
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    ThesisItemOpen Access
    A New Design For Cluster Sanpling
    (Department of Sociology College of Basic Sciences and Humanities College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Hisar, 1996) Manjul, Jagan Nath; Nath, N.
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    ThesisItemOpen Access
    Cultural And Chemical Wed Control in Pigeon Pea (Cajanus Cajan (L) Millsp)
    (College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Hisar, 1996) Malik, Vikram Singh; Dahiya, D. R
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    ThesisItemOpen Access
    Changing Socio-Economic Conditions of Rural Artisans in The context of Modern Technology
    (Department of Sociology College of Basic Sciences and Humanities College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Hisar, 1996) Sangwan, Jagmati; Singh, Raj
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    ThesisItemOpen Access
    A Study of Socio-Economic and Psychological Problems of Old Women in A village Community of Haryana
    (Department of Sociology College of Basic Sciences and Humanities College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Hisar, 1991) Dahiya, Kanta; Singh, Raj
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    ThesisItemOpen Access
    Suitable Size and Shape of Plot and Block for Cotton crop
    (College of Basic Sciences and Humanities Chaudhary Charan Singh Haryana Agricultural University Hisar, 1984) Panwar, Randhir Singh; Arya, A. D