Cucumber (Cucumis sativus) is a major vegetable crop worldwide. Compared with many crops, cucumber reaches harvest stage rapidly. Computer growth models have been developed to help researchers, growers, and processors predict plant development and harvest date. The objective of this study was 1) to study growth and development of cucumber using both days after planting and cumulative heat units (HU) to determine their value in prediction of harvest date for pickling cucumbers grown in North Carolina, and 2) to study vegetative and flowering patterns from planting to harvest. The experiment was a split-plot treatment arrangement in a randomized complete block design with three replications. Plantings were made every week for 10 weeks (30 April through 2 July). Four cultigens were chosen to represent a range of types. Data on plant growth stage and weather conditions were collected daily. Main growth stages were planting (direct seeding), emergence, vine tip over, flowering, and fruit harvest. Heat units were calculated from weather data using a model with the daily maximum air temperature, a base temperature of 15.5°C, and a reducing ceiling of 32°C. 'Calypso' was the earliest maturing cultigen, M 21 and Wis. SMR 18 were intermediate, and WI 2757 was the latest. Plantings made early in the season required more days to reach fruiting stage than those made later. Heat units were more stable over planting dates than days after planting. 'Calypso' had more branches per plant and more nodes per branch than the dwarf-determinate cultigen M 21. Early yield was correlated with number of branches/plant and nodes/branch. Additional research is needed to improve the heat unit model so that it predicts harvest date accurately regardless of planting date.