Evaluation of khazaei model in predicting of water absorption of chickpea during soaking

In this study the Khazaei model, which has good ability to analyze water absorption in the second phase for crops was used to predict the water absorption of chickpea during soaking. The water rate absorption of initial and second phases are high and low, respectively. The main problem of all existing mathematical models for water absorption such as Peleg model is none of them do not assessment present for the second phase. The model was carried out to predict moisture content of three varieties of chickpea (Desi, small Kabuli and large Kabuli). The experiments were carried out at three distilled water temperatures (5, 25 and 45°C) in triplications. Amount of water absorption by varies seeds were determined 5, 10, 15, 30 minutes and one hour after immersion. The tests were followed at intervals of one hour toward gelatinized seeds. Khazaei and Peleg model of moisture absorption were fitted to experimental data. To compare the Khazaei model versus Peleg model, three parameters, coefficient of determination (R2), chi-square (x2) and root mean square error (RMSE) were used. The results showed that Khazaei model has enough accurate to predict the moisture content of chickpea during soaking and not significant difference between two models (P < 0.05). Also, water uptake of seed increasing with increasing water temperature during soaking.