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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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Subject: Biostatistics × End date: 2019 × Start date: 2013 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Statistical study on pre-harvest forecasting of apple yield
    (2014) PROMILA, DEVI; CHAUDHARY, V.K.
    The present study entitled “Statistical study on pre-harvest forecasting of apple yield” 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 primary data were collected on the S yield and biometrical characters of apple trees of five blocks (Kullu, Nagar, Banjar, Anni and Nirmand) of Kullu district of H.P. Maximum yield was observed in Nagar block & minimum in Banjar block during the study. Yield was found to be significantly and positively correlated with age, height, girth, diameter, canopy (N-S), canopy (E-W) and number of branches biometrical characters of apple tree. In Kullu block, cubic model was best fitted for tree age to predict apple yield. S- curve model was best fitted for height, girth, diameter and volume to predict apple yield. Quadratic model best fitted for canopy (N-S), canopy (E-W) and number of branches to predict apple yield. In Nagar block, power model was best fitted for tree age to predict apple yield. S model was best fitted for height, girth, diameter and volume to predict apple yield. Exponential model was best fitted for canopy (N-S) and canopy (E-W) to predict apple yield. Growth model was best fitted for number of branches to predict apple yield. In Banjar block, cubic model fitted best for tree age to predict apple yield. Logarithmic model fitted best for girth, diameter and volume to predict apple yield. Quadratic model fitted best for height, canopy (E-W) and number of branches to predict apple yield. Linear model fitted best for canopy (N-S) to predict apple yield. In Anni block, power model was best fitted for girth, diameter, canopy (N-S) and volume to predict apple yield. Quadratic model was best fitted for height and number of branches to predict apple yield. Cubic model was best fitted for tree age to predict apple yield. S model was best fitted for canopy (E-W) to predict apple yield. In Nirmand block, cubic model was best fitted for tree age, height and diameter to predict apple yield. Linear model fitted best for girth, canopy (N-S) and canopy (E-W) to predict apple yield. Quadratic model fitted best for volume and number of branches to predict apple yield. Whereas, forecasting model based on multiple regression analysis for Kullu district is Y=1.1272+0.9638X1+2.6485X2+3.5237X3+0.2138X4+0.4467X5+0.8395X6+1.3490X7+1.0280X8 found to be fitted well based on R 2 , adjusted R 2 , SSE and RMSE in the data of biometrical characters of apple tree