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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
    MORPHOLOGICAL AND MOLECULAR CHARACTERIZATION OF POPLAR (Populus deltoides) CLONES AND DEVELOPMENT OF THEIR DESCRIPTORS
    (UHF,NAUNI, 2017-11) PURUSHOTTAM, AYATE DIPIKA; THAKUR, SANJEEV
    ABSTRACT The present study entitled “Morphological and molecular characterization of poplar (Populus deltoides) clones and development of their descriptors” was undertaken in the Department of Tree Improvement and Genetic Resources, Dr. Y.S. P. U. H. F., Nauni- Solan 173230 (H.P.) during year 2013-2016. The fifteen clones obtained from different research Institutes (locations) of India. The stem cutting of 7 inch long and 1.6 cm diameter were prepared from one year old stem cuttings and raised at a spacing of 60 cm x 60 cm in randomized block design with three replications. The three experimental sites namely 1) Dhaula kuan, RHTS, Dist. Sirmaur (H. P.), 2) Ladhowal farm, PAU, Ludhiana (Punjab) and 3) Nauni, Solan . Genotype x environment interaction studied during 2014 at studied sites gave four significant parameters in leaf blade length, mid rib length, distance between petiole junction to base of leaf and total leaf length. Therefore, stable clones obtained for leaf blade length L-621/84, mid rib length L-621/84, distance between petiole junction to base of leaf G-48 and total length of leaf L-621/84 and G-48. These clones should be tested in field. Principal component analysis gave 90.05% variability for leaf traits at three different sites. Significant Clone x Year interaction during 2013, 2014 and 2016 at Nauni was found for ratio between mid rib to maximum width of leaf parameter. Qualitative and quantitative descriptors for traits of poplar clones were prepared as per UPOV guidelines. Verification of clones on the basis of SSR markers gave 64% similarity with two sub clusters.