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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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2015 - 20173
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    ThesisItemOpen Access
    STATISTICAL INVESTIGATIONS ON CONIFERS OF TEMPERATE ZONE IN HIMACHAL PRADESH
    (UHF,NAUNI, 2017-10) SHARMA, AJIT; GUPTA, R.K.
    ABSTRACT The present investigation entitled “Statistical investigations on conifers of temperate zone in Himachal Pradesh” was carried out in the forest area of Himachal Pradesh. For the study, primary data for diameter and height of conifer plantations was collected from three different forest circles viz. Kullu, Shimla, and Kinnaur. 300 trees of five conifer species viz. Cedrus deodara, Pinus roxburghii, Pinus wallichiana, Abies pindrow and Picea smithiana were recorded from each forest circle and volume was collected from the State Forest Department. The data were subjected to variability analysis in order to test the variability among different circles. Bartlett's chi-square test was used for testing the homogeneity of variances with respect to diameter, height and volume. Various probability distributions were fitted to find out the expected number of trees in each diameter class and its significance was tested by using Kolmogorov-Smirnov test statistic. Gamma distribution was observed best fitted for Cedrus deodara, Pinus wallichiana and Picea smithiana, while normal and log-normal distributions were best fitted for Abies pindrow and Pinus roxburghii respectively to estimate the number of trees in various diameter classes in temperate zone. Regression analysis was done to estimate the volume of conifer species for the construction and prediction of one way volume tables and two way volume tables on the basis of maximum value of R and R , minimum RMSE and Theil’s U-statistic, whereas validation was tested by half-split method and Chow test. The best fit linear model for Cedrus deodara and Pinus wallichiana moreover non-linear power model for Pinus roxburghii, Abies pindrow and Picea smithiana was used to construct two way volume tables. The relative dominance of conifer species was tested out with the help of importance value index (IVI).
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    ThesisItemOpen Access
    STATISTICAL INVESTIGATION FOR VOLUME TABLE OF EUCALYPTUS SPECIES
    (2015) ISHANT, KUMAR; GUPTA, R.K.
    The present investigation entitled “Statistical investigation for volume table of Eucalyptus species” was carried out in the University area of Dr. Y S Parmar University of Horticulture and Forestry, Nauni, Solan (HP) India. For the purpose, secondary data for diameter and height of Eucalyptus plantations was collected from four different sites viz. Khaltoo, Ucchagaon, Kharkog and Pandah. 150 trees of Eucalyptus tereticornis from each plantation site were selected and the data were subjected to variability analysis in order to test the variability among different sites. Bartlett's chi-square test for testing the homogeneity of variances suggested that there were no variability with respect to DBH, height and volume among different sites. Site wise comparison was also performed to test the equality of means among different sites. Maximum mean diameter (m) was observed at Khaltoo (0.2097) and minimum was observed at Ucchagaon (0.1767). Mean height (m) was observed maximum in Kharkog (10.6374) and minimum in Pandah (9.7873). Maximum mean volume (m3) was recorded at Khaltoo (0.3955) and Minimum mean volume was recorded at Ucchagaon (0.2105) which was statistically at par with Kharkog (0.2815). Various distribution was fitted to find out the number of trees in each diameter class and its significance was tested by using Kolmogorov-Smirnov test statistic. Normal and log-normal distributions were observed best fitted on the basis of Kolmogorov-Smirnov test statistic and it was concluded that these two distributions can be used to estimate number of trees in various diameter classes. Regression analysis was done to estimate the volume of Eucalyptus trees using ordinary least square estimation method. For the construction of one way volume table, quadratic model (V= 0.0044 - 0.2574 D + 9.3784 D2) was observed best fit on the basis of maximum R2 value (0.97) and minimum root mean square value (0.0010) whereas linear model (V = 0.0003+0.7842 D2H) was observed best fit for the construction of two way volume table on the basis of highest R2 value (0.96) and least root mean square error value (0.0282). These models may be used for the construction of volume table.
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    ThesisItemOpen Access
    STATISTICAL INVESTIGATION ON GROWTH ATTRIBUTES FOR VOLUME ESTIMATION OF Pinus roxburghii
    (2016) KIRAN; GUPTA, R.K.
    ABSTRACT The present investigation entitled “Statistical Investigation on growth attribute for volume estimation of Pinus roxburghii” was conducted in Solan district of Himachal Pradesh. Data on Pinus roxburghii was collected from the State Forest Department, Solan. Stratified random sampling technique was used to select different compartments. Solan forest division was divided into four altitudinal ranges i.e. up to 1200 m amsl, 1200-1400 m amsl, 1400-1600 m and above 1600 m amsl and from each altitudinal range twenty compartments of pure stand of Pinus roxburghii was selected randomly. Trees on each compartment was divided into seven diameter classes and data from all selected compartment were subjected to variability analysis in order to test the variability among different altitudinal ranges. Bartlett’s chi-square test for testing the homogeneity of variances suggested that there were significant variation with respect to number of trees and volume per tree among these altitudinal ranges. Maximum number of tree per hectare was observed in 10 - 20 cm diameter class (252.08) in all altitudinal ranges and minimum was observed in 70-80 cm diameter class (0.95). Maximum number of trees per hectare was found in altitudinal range 1200-1400 m amsl (507.32) and minimum in altitudinal range up to 1200 m amsl (211.53). Maximum (1.83 m3) and minimum (1.12 m3) volume per tree were observed in altitudinal range above 1600 m and 1200-1400 m amsl. Regression analysis was performed. Different linear and non-linear regression models were fitted to estimate the volume of chirpine using ordinary least square estimation method. S curve model can be used for the construction of volume table for Solan forest division as well as different altitudinal ranges on the basis of highest R2 value and least root mean square error value.