The aim of this paper was to propose regression equations that express the dry matter accumulation in lettuce using meteorological parameters and growth index, to modeling the lettuce growth in greenhouse and in the field, in different growth season. The "Regina" cultivar was utilized. The meteorological variables determined were air temperature and relative humidity average and accumulated photosynthetically active radiation. The growth indexes of lettuce used were dry mass and leaf area index. Independent of the growth season, the results shown that linear regressions utilizing variables leaf area index and accumulated photosynthetically active radiation provided a good estimate of the dry mass (R²>0.88) for both seasons. The multiple regressions need more data, but shown a little increase in R² value.
greenhouse; modeling; growth