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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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ThesisItem Open Access ECONOMIC IMPACT OF CLIMATE CHANGE ON THE LIVELIHOOD STATUS OF DAIRY FARM HOUSEHOLDS IN HAMIRPUR DISTRICT OF HIMACHAL PRADESH(UHF Nauni, 2023-12-23) ADITI SHARMA; Dr. ShilpaPresent study analyzed the “Economic impact of Climate Change on the livelihood status of dairy farm households in Hamirpur district of Himachal Pradesh” during the year 2022-23. Multistage random sampling technique was used for the selection of the respondents from the randomly selected four blocks named Bijhari, Nadaun, Hamirpur and Sujanpur out of 6 blocks. Then 3 panchayats from each selected block were selected randomly and 10 dairy farming households from each selected panchayat were selected randomly to constitute a sample size of 120 for the collection of the primary data. All dairy producers were divided into three categories for the purpose of data analysis: small category (1- 3 SAUs), medium category (4-6 SAUs), and large category (>6 SAUs). Farmers are reported to have an average size of 5.23 members with a literacy rate of 90.33 per cent and literacy index of 2.75 in accordance with socioeconomic data. The dependency ratios for family were 0.25. Total land holding was 1.10 hectares out of which 83.91 per cent was cultivated land covering the maximum portion. In the study area, a crop intensity of 172.03 per cent was found. The average number of cattle units was 4.74, of which 5.72, 12.09, 50.29, 26.28, and 5.21 percent were local cows, crossbred cows, buffalo, young stock, and heifers, respectively. The impact of climatic change on dairy farm households is calculated using secondary data acquired through the Indian Meteorological Department, Shimla for the 50 years 1981–2021. The Ricardian results demonstrated that the climate change has consequences on dairy farm households in the Hamirpur district and that there is analysis shows a nonlinear relationship among climate change and net revenue. Results shows that with the increase in maximum temperature net revenue was decreased while increase in minimum temperature and annual rainfall net revenue was increased. The marginal effects of climate variations on the net revenue of dairy households are assessed and showed that the net revenue was dropped by Rs. 39.15 and rise by Rs. 4.44 per day for every 1°C increase in minimum temperature and 1°C reduction in maximum temperature, respectively while the marginal revenue from annual rainfall was Rs. 0.20 which was very negligible. The Binary Logistic Regression model was used to examine farmer’s choices about the deployment of adaptation measures for climate risk. The findings suggested that a farmer's decision to adapt to climate change was influenced by socioeconomic factors such as farm income and farming experience. The most serious problem in the study area was lack of improved fodder crops (63.78%) and least problem was lack of dairy cooperatives (33.06%).In order to adapt with climate change suitable adaptation practices should be followed like improving feed practices and use of well acclimatised breeds and following the crop livestock diversification methodThesisItem Open Access STATISTICAL INVESTIGATION ON INFLUENCE OF GROWTH CHARACTERISTICS ON THE PRODUCTION OF KIWIFRUIT (Actinidia deliciosa Chev.)(NAUNI,UHF, 2020-09) RAGHUVANSHI, VIPIN; MAHAJAN, P KABSTRACT The present study entitled “Statistical Investigation on influence of growth characteristics on the production of Kiwifruit (Actinidia deliciosa Chev.)” was carried out in Kiwi Block of Department of Fruit Science at the university campus (Dr Yashwant Singh Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh) which was established during 1985. Data were recorded on various growth characteristics (Plant height, Vine girth, Vine spread, Number of bearing shoots per vine, Cane thickness, Number of leaves per bearing shoot, Leaf area and Flower density) of Kiwifruit plant to assess their relative contribution towards the yield. Kiwifruit yield was significantly and positively correlated with number of bearing shoots per vine, vine girth, vine spread, plant height. The Kiwifruit growth characteristics were subjected to principal components and factor analysis. Three out of nine principal components were extracted for these growth characteristics of Kiwifruit which explained 69.37 percent of the total variation of the original variables respectively. In case of factor analysis in Kiwifruit, three basic factors were extracted for Kiwifruit plant which explained 52.54 percent of total variation of the original variable. Most important characters which contribute toward yield were plant height, vine girth and number of bearing shoots per vine.ThesisItem Open Access STATISTICAL INVESTIGATIONS ON APPLE PRODUCTION IN HIMACHAL PRADESH(UHF,NAUNI, 2017) BHARTI; MAHAJAN, P.K.ABSTRACT The present study entitled “Statistical investigations on apple production in Himachal Pradesh” was carried out in Shimla district of Himachal Pradesh. Multistage random sampling technique was employed for the selection of sampling units. Primary data were collected on area, production and socio-economic parameters for standardization of sampling technique for estimation of apple production in Himachal Pradesh. Equalization of cum √f method of construction of strata boundaries showed least variance among four stratification rules and can be efficiently used for estimation of apple production in study area. The estimate of apple production came out to be 788782 MT with standard error of 27.55. Data were recorded on various morphological characteristics of apple plant to assess their relative contribution towards the yield. Apple yield was found to be significantly and positively correlated with fruit weight, trunk girth, plant height, canopy spread, flower density index and fruit set. Step-wise regression analysis suggested that plant girth, flower density index and fruit weight were the most significant characteristics for estimation of apple yield. Path analysis revealed that fruit weight and flower density index were the most important characteristics of apple crop which should be exploited through a breeding programme for improving yield potential. Two groups namely low and high yielder were categorized on the basis of canopy spread, fruit set, LD ratio and fruit weight using discriminant function. The groups formed were subjected to Principal Components and Factor Analyses. Four out of ten Principal Components were extracted for both populations which explained 79.47% and 79.88% of the total variation of the original variables respectively. Power and linear function can be used for the prediction of apple area and production respectively in Himachal Pradesh. ARIMA (0, 1, 0) and ARIMA (1, 1, 5) were found to be best fitted models for forecasting of apple area and production respectively in Himachal Pradesh. Apple production was found to be positively and significantly correlated with the maximum temperature and relative humidity. Step wise regression revealed that the maximum and minimum temperatures were the most important weather parameters for the estimation of apple yield. Socio-economic status of apple orchardists with respect to production and marketing of apple crop was also studied. Retailers channel (Channel V) was found to be most efficient for marketing of apple, followed by commission agents channel (Channel III), post harvest channel (Channel-I), and village trader channel (Channel II) in the study area.ThesisItem Open Access OPTIMUM STRATIFICATION FOR ESTIMATION OF APPLE PRODUCTION IN KULLU DISTRICT OF HIMACHAL PRADESH(UHF,NAUNI, 2014) PATHANIA, HEENA; MAHAJAN, P.K.ABSTRACT The present study entitled “Optimum Stratification for Estimation of Apple Production in Kullu District of Himachal Pradesh” was undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan 173230 (H.P.) during 2012-2014. The study was carried out in Kullu district of HimachalPradesh with special reference to comparison of sample allocation methods in combination with various stratification rules for optimum stratification. For this purpose, various aspects involved in optimum stratification with reference to data collected from the selected orchardists in the study area during the year 2012-13 have been analysed. The variable"area under apple" was chosen as the stratification variable as it had high correlation of 0.99with the estimation variable "production of apple". Four methods of construction of strata viz., equalizationof strata total, equalizationof cum. , equalization of : {r(y) + f(y)} and equalization of cum. ( were used and their relative efficiencies for estimating total production of apple in the study district of the state have been examined. The critical examination of the results revealed that for number of strata ≥2, equalization of cum. method along with Neyman allocation can be profitably used for the estimation of apple production in the study district of the state. The socio-economic analysis indicated that the shortage of grading & packing labour, packing material, inadequate storage facilities, transportation problem, problems in market intelligence, and malpractices in the market were the major marketing problems faced by the orchardists in the study area.ThesisItem Open Access IDENTIFICATION OF STABLE BIOSTIMULANTS FOR ROSE CULTIVAR “FIRST RED” -A STATISTICAL APPROACH(2012) VERMA, GEETA; GUPTA, R.K.ABSTRACT The present investigation entitled “Identification of stable biostimulants for Rose cultivar “First Red” – a statistical approach” was undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticuture and Forestry, Nauni, Solan 173230 (H.P.) during 2011-2012. In the present investigation secondary data for 22 biostimulants combinations were analyzed for four different seasons and the data were subjected to the stability analysis. For this purpose, the data on various growth and flowering characters were analyzed. Eberhart and Russell’s, Finlay and Wilkinson’s (1963) and Perkin and Jinks (1968) models for all the characters were used to identify stable biostimulants. All the stability models showed that T6, T7 and T17 biostimulants were stable for number of flowering shoots per plant, while T7 and T22 were found to be best for flower size.ThesisItem Open Access STATISTICAL INVESTIGATION ON PREDICTION MODEL(S) FOR IMPORTANT FRUIT CROPS(2013) SHARMA, AJIT; CHAUDHARY, V.K.ABSTRACT The present investigation entitled “Statistical Investigation on Prediction Model(s) for Important Fruit Crops.” was undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan 173230 (H.P.) during 2011-2013. Last 30 years secondary data based on area (ha) and production (100 MT) of H.P is being used and different statistical techniques and prediction models viz. straight line, second degree parabola, exponential, modified exponential, gompertz and logistic were fitted and tested. It was found that all the models fitted well to the area under the apple crop but the best fitted model was second degree parabola. However, none of the models fitted well to the apple production. It was also observed that second degree parabola model fitted well to the area and production of citrus crop. On the basis of these results it is suggested that the present study is very helpful to the policy makers, planners, research workers and orchardists for making the future plans of important fruit crops of the state and increased the economy of the state.ThesisItem Open Access “Stability analysis of resin yield of natural regenerated Pinus roxburghii Sargent(2013) BHARTI; GUPTA, R.K.ABSTRACT The present study entitled “Stability analysis of resin yield of natural regenerated Pinus roxburghii Sargent” was undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan 173230 (H.P.) during 2012-2013. Secondary data on resin yield for 145 trees for seven years from 2005-2011 were taken and the data were subjected to the stability analysis. Wricke model (1962), Finlay and Wilkinson’s (1963) and Eberhart and Russell’s (1966) were used to identify stable diameter class. Diameter classes 35-40 cm and 40-45 cm were found to be most stable diameter classes by using all stability models. 145 trees were divided into seven diameter classes. Lognormal and gamma probability distributions were tried to find out the number of trees in each diameter class and both distributions were statistically fitted with observed diameter distribution, however resin yield showed behavior of lognormal distribution.ThesisItem Open Access STATISTICAL MODELS FOR FORECASTING THE PRODUCTION OF IMPORTANT FRUIT AND VEGETABLE CROP IN HIMACHAL PRADESH(2015) ARUN, KUMAR; GUPTA, R.K.ABSTRACT The present investigation entitled “Statistical models for forecasting the production of important fruit and vegetable crop in Himachal Pradesh.” was undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan 173230 (H.P.) during 2013-2015. Last 18 years of secondary data based on area (ha) and production (MT) for mango and 40 years of secondary data based on area (ha) and production (MT) of potato for H.P is being used and different prediction models viz. autoregressive straight line, second degree parabola, exponential, modified exponential and gompertz were applied & tested. All the prediction models fitted well to the area of mango with high Adj. R2, low RMSE and low Thiel’s inequality coefficient (U) and the four prediction models fitted well to the mango production namely: Straight line, Second degree parabola, Gompert and 1st order autoregressive model was fitted best with high Adj. R2 and low RMSE and Thiel’s inequality coefficient (U). Second degree parabola and autoregressive models were best models to forecast the area and production of mango as per Adj. R2, RMSE and Thiel’s inequality coefficient (U). 1st order autoregressive model was fitted well to the area of potato as per Adj. R2 and RMSE and all prediction models fitted well to the potato production as suggested by Adj. R2, RMSE and Thiel’s inequality coefficient (U). On the basis of Adj. R2, RMSE and Thiel’s inequality coefficient (U) 1st order autoregressive model and second degree parabola were best to forecast the area and production of potato.ThesisItem Open Access STATISTICAL INVESTIGATIONS OF GROWTH CHARACTERISTICS OF CHERRY-BARK ELM (Ulmus villosa Brandis) UNDER MIDHILL CONDITIONS OF HIMACHAL PRADESH(2015) KIRAN, KUMARI; MAHAJAN, P.K.ABSTRACT The present study entitled “Statistical investigations of growth characteristics of Cherry-bark Elm (Ulmus villosa Brandis) under midhill conditions of Himachal Pradesh” was carried out at two sites i.e Bagaur (Site-I) and Majhgaon (Site-II) at the main campus of Dr. Y S Parmar University of Horticulture and Forestry, Nauni (Solan), Himachal Pradesh during the year 2014-2015. The optimum sample of 135 trees out of total population 453 was studied to record different growth parameters namely diameter at breast height, tree height, crown height, crown length, crown width and bole height on diameter class basis. Stem wood biomass was estimated by using non-destructive method whereas; branch and leaves + twigs biomass was estimated by using partial destructive method for biomass estimation. Tree height, bole height, crown height, crown length and crown width increased with increase in diameter at breast height. All tree parameters; diameter at breast height, tree height, crown height, crown length, crown width and bole height showed non-significant variations between two sites. Thus, observations at two sites were pooled together for further analysis. Green and dry biomass was positively and highly correlated with all the growth characteristics. However, highest correlation of biomass was observed with diameter at breast height. Exponential function was best fitted for the prediction of green and dry biomass and diameter at breast height remained the best predictor of green and dry biomass. Two Principal Components (PCs) were extracted out of six which explains 61.25 per cent and 19.80 per cent of the total variation respectively. Using Factor Analysis, one factor is extracted which was a combination of Diameter at breast height, tree height and crown length and explained 57.785 per cent of total variation.