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Dr. Y. S. Parmar University of Horticulture & Forestry, Solan

Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Solan, was established on 1st December, 1985 with the objective to promote education, research and extension education in the fields of Horticulture, Forestry and allied disciplines. Late Dr. Yashwant Singh Parmar, the first Chief Minister and the architect of Himachal Pradesh perceived the importance of Horticulture and Forestry to develop and improve the State economy which led to the establishment of this University. Its history lies in erstwhile Himachal Agricultural College, Solan, established in 1962 and affiliated to the Panjab University. It became one of the campuses of Agriculture Complex of Himachal Pradesh University on its formation in 1970. Consequent upon the establishment of Himachal Pradesh Krishi Vishvavidyalaya in 1978, this campus became its Horticulture Complex and finally in 1985, assumed the status of a State University, being the only University in the country engaged exclusively in teaching, research and extension in Horticulture and Forestry. The University is located at Nauni in Solan District of Himachal Pradesh, 13 km from Solan on Solan-Rajgarh Road, at an elevation of 1300 metres above mean sea level. Solan town is situated on national highway (NH-22) and is well connected by train and bus services. The University has four constituent colleges, out of which, two are located at the main campus Nauni, one for horticulture and the other for forestry, having 9 and 7 departments, respectively. The third College i.e., College of Horticulture & Forestry is located at Neri in Hamirpur District on Nadaun-Hamirpur state highway, about 6 Km from Hamirpur town and is well connected with bus service. The college offers three Undergraduate Degree Programmes i.e. BSc (Hons.) Horticulture, BSc (Hons.) Forestry and B. Tech. Biotechnology and MSc degree programme in a few subjects. The fourth college i.e. College of Horticulture and Forestry, Thunag (Mandi) is located at Thunag District Mandi. This college offer BSc (Hons.) Horticulture and BSc (Hons.) Forestry degree programme. In addition, there are five Regional Research Stations, 12 Satellite Stations and five Krishi Vigyan Kendras (KVKs) situated in different zones of the State.

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  • ThesisItemOpen Access
    IMPACT OF PRADHAN MANTRI FASAL BIMA YOJANA ON THE LIVELIHOOD OF FARMERS IN KANGRA DISTRICT OF H.P
    (UHF,NAUNI, 2021-12) SANJEEV KUMAR; SHILPA
    ABSTRACT The present study entitled “Impact of PMFBY on the livelihood of farmers in Kangra District of Himachal Pradesh” was conducted during 2020-21. Multistage sampling was used for the selection of the respondents from the randomly selected two blocks named Bhawarna and Nagrota out of 15 blocks. A total sample of 60 beneficiaries and 60 nonbeneficiary farmers was selected for the present study. The results revealed that average family size at overall level comprises of 5.28 and 4.93 persons for beneficiaries and non-beneficiary farmers. The literacy rate was 91.52 per cent at overall level of beneficiaries while it was 89.19 per cent in non-beneficiary farmers. Agriculture has been found to be the main occupation as 67.64 per cent of workforce practice farming on beneficiaries and 74.34 per cent on non-beneficiaries farmers. Average size of land holding was 1.20 and 1.14 ha on beneficiaries and non-beneficiaries farmers. The area under fields crops 72.24 per cent of total landholding in case of beneficiaries and 75.44 per cent in non-beneficiary farmers on an overall basis. Area under orchard accounted for 7.07 per cent of total land holdings among beneficiaries and 6.21per cent among non-beneficiaries farmers. The overall cropping intensity was found to be 175.09 per cent beneficiaries and non-beneficiaries were 169.29 per cent. The overall number of livestock among beneficiaries and non-beneficiaries farmers were 4.14 and 6.98 (ACUs). Livelihood framework analysis revealed that claim holders had better position in financial, social and human capital/assets status than non-claim holders and non-beneficiary farmers. As far as physical and natural capital/assets was concerned it was same in all the three categories. No significant difference was found in natural capital on different categories. It was noticed that enhanced performance of farm operations and mitigation of risk of adverse climatic condition has 42.58 and 69.27 times more effect on adoption of scheme. The progress of PMFBY in Himachal Pradesh state was good in terms of no. of farmers benefitted, total premium amount, total claims paid but in terms of total no. of farmers covered and total insured area has reduced. Major constraints faced by the beneficiary farmers in the study area are awareness of crop insurance scheme and facilities available with mean garret score of (69.70). In case of non-beneficiaries farmer’s lack of awareness about PMFBY with mean Garret score of (71.23) was noticed. The study suggested that the training programmes and exposure visits should be organized on regular basis in order to enhance skills of the beneficiaries and non-beneficiary farmers so as to maximize the net profit and decrease post-harvest losse
  • ThesisItemOpen Access
    AN ECONOMIC ANALYSIS OF FARMING SYSTEMS FOR IMPROVING LIVELIHOOD SECURITY OF HILL FARMERS
    (NAUNI,UHF, 2020-12) SANJEEV KUMAR; SHARMA, RAVINDER
    ABSTRACT The present study has been carried out in the hills of Himachal Pradesh by selecting a sample of 240 farmers from all four agro-climatic zones of the State. Stratified random sampling technique was used for the selection of sampled households. The results revealed that average family size at overall level in the study area comprises of 5.39 persons, out of which, the proportion of males (52.24%) was higher than the female (48.09%) counterparts. The literacy rate was found to vary between 83.33 to 90.00 per cent among selected districts with overall literacy rate of 87.08 per cent. Agriculture has been found as the main occupation as 65.83 per cent of farmers at overall level were engaged in it. Average size of land holding was found maximum (1.35 ha) in Kinnaur district of Zone-IV followed by Mandi district of Zone-II (1.23 ha), Shimla district of Zone-III (1.17 ha) and Una district of Zone-I (1.07 ha). Overall, the average land holding of the sampled households was 1.21 hectare out of which only 47.93 per cent was irrigated. The gross cropped area was highest (2.08 ha) in Mandi district followed by Una (1.84 ha), Shimla (1.54 ha) and Kinnaur (1.33 ha) districts. The cropping intensity was highest in Una (194%) followed by Mandi (192%), Shimla (143%) and Kinnaur (110%) districts with overall cropping intensity of 157 per cent. The standard animal unit was highest (4.01) in Kinnaur district followed by Shimla (3.55), Mandi (3.27) and Una (2.95) districts. The farmers of the study area were practicing six major farming systems, viz., C+V+F+D, C+F+D, C+V+D, V+F+D, C+D and F+D at overall level. Among these farming systems, C+V+F+D and C+F+D farming systems were most profitable in Kinnaur district of Zone-IV with output-input ratio of 1.38 and 1.35, respectively. Further, C+V+D farming system was most profitable in Shimla district of Zone-III(1.18), whereas, the output-input ratio in case of C+D farming system was higher (1.16) in Una district of Zone-I. The output-input ratio under V+F+D and F+D farming systems was 1.33 and 1.28, respectively. The results related to input use pattern of existing farming systems revealed that among selected districts as well as at overall level, expenditure on human labour accounted for maximum proportion of total input cost followed by expenditure on green fodder and dry fodder. On an overall level, lowest variation in Cost C3/D (16.65%) was under C+V+D farming system, whereas, the income inequality was minimum (0.18) under C+D farming system. The impact of age of farmer under C+D; household size under C+V+F+D, C+F+D and V+F+D; farmers’ education under C+V+F+D, C+V+D and V+F+D; years of experience under C+F+D and C+V+D, and number of animals under all existing farming systems was found statistically significant. Further, increasing returns to scale were found under C+V+F+D (1.05), C+F+D (1.13) and C+D (1.15) farming systems implying that doubling of input in these systems will result in enhancing the output more than double, whereas, under C+V+D (0.98) and V+F+D (0.88), there were decreasing returns to scale. The optimum plans developed for different farming systems clearly revealed the possibility of increasing the farm profitability by optimum utilization of the available resources. The estimated impact of market access on input use and agricultural productivity revealed that the use of inputs under investigation increased with improvement in market access of farmers leading to increase in aggregate agricultural productivity. On an overall level, it was found that lack of subsidy for inputs, lack of processing facilities, lack of training or extension services, high cost of inputs, high cost of production, labour scarcity, lack of regulated markets, price fluctuations, non-remunerative prices, monkeys/wild animals/stray animals’ menace and higher insect/pests /disease attack were the major constraints of farming systems in the study area.