ارزﻳﺎﺑﻲ ﻣﺪلﻫﺎی رﮔﺮﺳﻴﻮن ﻏﻴﺮﺧﻄﻲ ﺑﺮای ﺑﺮآورد ﺳﺮﻋﺖ ﺟﻮاﻧﻪزﻧﻲ ﮔﻠﺮﻧﮓ (Carthamus tinctorius)

In most studies, inverse of time to reach 50 % of the final cumulative germination is considered as germination rate. In this experiment, Safflower (Carthamus tinctorius) seed germination was tested at 20 °C. Six nonlinear regression models (Weibull, Gompertz, Hill, Logistic, The extreme-value function, and Sigmoid) were compared in terms of estimates time to 50 % of the final germination. There was not significantly different among models In terms of estimates maximum germination. However, the estimated time to 50% germination was significantly different among the models. The results showed that non-linear Weibull model provided the best fit (AICc=-10.9.31) to cumulative germination data of Safflower.