Progressive Horticulture
  • Year: 2015
  • Volume: 47
  • Issue: 1

Regression technique for germination of spinach seed in high hills of Uttarakhand

VCSG college of Horticulture, University of Horticulture and Forestry, Bharsar, Pauri-Garhwal, Uttarakhand, India

*E-mail: drscpant@gmail.com

Abstract

In the present study an attempt has been made for development of the model for evaluation of germination percentage with the regression technique. The study was carried out in the experimental lab of department of Vegetable Science of V.C.S.G. College of Horticulture, U.U.H.F., Bharsar, Pauri Garhwal, Uttarakhand. The altitude of the location is ranging from 1800 to 2300 unit MSL (mean Sea Level). At this hilly location temperature (ranging from –4.0 to 28°C) is playing very important role for the germination of seeds. Under the study daily germination of seed data recorded on Spinach along with daily average temperature from February 2nd to 10th April 2013. During these days temperature is ranging from 5 to 17°C. The 78.5% germination has been recorded under this condition. The linear regression analysis technique has been used for the evaluation of the effect of temperature. The model has been generated with the help of daily recorded germination of seeds as regressor and daily average temperature as regress and. The individual effect of temperature has been found 51%. The developed model is Y= -2.05655 +1.477*temp. The model has been found significant at 1% level of significant.

Keywords

Level of significance, regression model, R2 and temperature