In this study, the possibility of prediction of germination percentage and days to germination of the seeds for some industrial plants; sunflower (Helianthus annus L.), soybean (Glycine max L.), pappy (Papaver somniferum L.), fenugreek (Trigonella foenum L.), nigella (Nigella sativa L.) and castor oil (Ricunus comminus L.) by mathematical models based on temperature was investigated. For this reason, a model (D=a-b*T+c*T2) produced earlier for predicting the time to emergence in relation to temperature for some vegetable crops was utilised. The final structure of the model did not change for predicting the days to germination of the tried industry plants while it changed to (D=a+b*T-c*T2) for predicting germination percentage (GP) of the crops tried. It was found that the new mathematical models obtained after adapting the present data to the above-mentioned model could be used safely in terms of the studied parameters. In addition, optimum temperatures (To=b/2*c) for seed germination in the tried crops were calculated by using the coefficients obtained from the produced regression models of the days to germination.
Kudret Kevseroglu, Sezgin Uzun and Omer Caliskan, 2000. Modeling the Effect of Temperature on the Germination Percentage and the Days to Germination in Some Industry Plants. Pakistan Journal of Biological Sciences, 3: 1424-1426.