This study aimed to find out the seed vigour tests related to the field emergence and to combine the tests by a stepwise linear multiple regression model for the best prediction possibilities of field performance. Fifty-four seed lots of sunflower hybrids were investigated for germination, emergence, seedling growth, cool germination (CG) and cold test (CT), accelerated aging (AA) conditioned at 41, 43 and 45 degrees C for 48, 72, 96, 120 and 144 h. Seed weight and oil content were not related to the emergence capacity of sunflower seed lots. The seed lots showed significant variation for initial seed viability ranked between 47.5% and 100.0%, but the field emergence ranged between 34.0% and 95.0%. Germination percentage was significantly correlated with the cool germination (r=0.823**), laboratory emergence (r=0.802**) and cold test (r=0.775**), respectively. The highest correlation coefficient for the field emergence was calculated with the laboratory emergence (r=0.856**), followed by the cool (r=0.783**) and cold test (r=0.735**). All of the combinations of AA conditions exhibited lower and insignificant correlations than that of others; consequently, it was not found as advisable for sunflower. A stepwise linear multiple regression revealed an ideal model consisted of the variables laboratory emergence, cool and cold test with determination coefficient of R-2=0.80, y=6.46+0.89*LE+0.35*CG-0.41*CT for forecasting the field performance of sunflower.