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Subject: Statistics × End date: 2021 × Start date: 2020 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    An economic analysis of production and marketing of sweet corn in Sonepat district of Haryana
    (CCSHAU,HiSAR, 2021-09) Panday, Raj Ratan; Parminder Singh
    The present investigation was done to estimate the costs and returns, marketing costs, margins, price spread, marketing efficiency, and constraints in sweet corn production in Sonepat district of Haryana. The selection of Sonepat was done based on highest acreage under sweet corn in Haryana. A sample of 80 farmers was taken for study from four villages of one block. As a result of study total cost of cultivation was found to be ₹ 53731.52 acre-1 and yield was 64.13 quintal acre-1. Gross returns were ₹ 99466.61 acre-1 and net returns were ₹ 45735.08 acre-1. Small farmers had highest cost of cultivation i.e., ₹ 54411.63 acre-1, while medium farmers had highest return i.e., ₹ 102418.97 acre-1. Overall, five marketing channels of sweet corn were identified. Channel-I (processing unit based) had highest net price received by farmers, while channel five (direct retailer based) had highest marketing efficiency. In production constraints, high cost of seed was found to be most severe followed problem of stray animals. In marketing constraints, problem of malpractice at marketplace was most severe followed by fluctuation of price however, high cost of transportation and low no. of processing facilities was also a problem. Overall, sweet corn is reliable crop with a potential to generate some good return and there is a need to make farmers aware about it.
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    ThesisItemOpen Access
    Estimation of compound growth rates for acreage, production, and productivity of major vegetable crops in Haryana – a nonlinear growth model approach
    (CCSHAU, Hisar, 2021-09) Vikash Kumar Sumit; Manoj Kumar
    The study on computation of compound annual growth rate (CAGR) of major vegetable crops i.e., Potato, Onion, Tomato, Radish, Carrot and Cabbage & Cauliflower in Haryana was conducted using nonlinear growth models for the period 1992-93 to 2018-19. Logistic, Gompertz and Monomolecular growth mod-els were used in the study. The initial values for different models were obtained using method of three selected points, method of partial sums and Yule’s method in RStudio software. The SPSS software was used to get the final parameters of above models which uses Levenberg-Marquardt algorithm. Residual analysis and goodness of fit tests was used to decide the best fitted model. The Monomolecular model was best fitted for area and production of Potato, Onion, Tomato and Radish. The productivity of Tomato and Radish were fitted using Logistic model. Gompertz and Monomolecular models were fitted for Po-tato and Onion productivity, respectively. The area and productivity of Carrot were fitted using Logistic model and its production using Gompertz model. For Cabbage & Cauliflower, Gompertz, Monomolec-ular, and Logistic were fitted for its area, production, and productivity, respectively. The area, produc-tion, and productivity of Potato recorded average CAGR of 3.94%, 6.25%, and 2.31 %, respectively. Onion had average CAGR of 8.63%, 10.43%, and 1.70% for its area, production, and productivity. The area and production of remaining crops had positive average CAGR (less than 12%), while productivity for same had negative growth rate (greater than -1.50%) except Tomato (0.31%).