Paper Details

Determination of some attributes of lentil (Lens culinaris) with higher effect on yield via step by step regression analysis

Ahad Taiery, Bahram Mirshekari

DOI: https://dx.doi.org/10.12692/ijb/4.6.170-174

Int. J. Biosci. 4(6), 170-174. March, 2014. (PDF)

Abstract:

Stepwise regression includes regression models in which the choice of predictive variables is carried out by an automatic procedure. In order to determination of some growth attributes of lentil (Lens culinaris) with higher effect on yield an experiment was conducted. All data were statistically analyzed based on RCBD using MSTAT-C software. The means of the treatments were compared using the least significant difference test at * P < 0.05. Based on data obtained, when lentil cultivated on 5th March and sprayed with Lorox on 4-6 weed leaves stage, grain yield increased up to 1578 kg ha-1, but in those seeds sown on the same time and sprayed with Lorox on 2-4 weed leaves stage yield reduced to 1157 kg ha-1. To formulate the relationship among five independent growth variables measured in our experiment for lentil crop with a dependent variable, multiple regression analysis was carried out. Furthermore, the stepwise regression analysis was also carried out for the data obtained to test the significance of the independent variables affecting the grain yield. The stepwise regression analysis verified that the number of secondary branches and pods per plant and weeds biomass had a marked increasing effect on the lentil grain yield.