Using Weather-Based Irrigation Scheduling to Optimize Red Cabbage Production

A replicated field trial was performed on a Chualar sandy loam in California’s Salinas Valley during 2020 to investigate the yield response of drip-irrigated red cabbage to applied water volume. The crop was transplanted on 29-April and established with approximately 4 inches of water uniformly applied by overhead sprinklers. At 22 days after transplanting (DAT), five drip-irrigation treatments were established at 50, 75, 100, 125, and 150% of estimated daily crop evapotranspiration (ETc). The treatments were replicated 6 times following a randomized complete block design. The 100% crop water requirement was specified by CropManage, an irrigation scheduling application that combines a crop coefficient approach with reference evapotranspiration data from the California Irrigation Management Information System. The crop was irrigated 3 times per week. Nitrogen fertilizer, totaling 320 lbs/ac, was applied through the drip system once per week. Commercial carton yields were evaluated 85 DAT. The 100% ETc treatment received a total of 18.3 inches of water including sprinkler establishment and had the highest yield at 57 tons/ac, while the 50% treatment (11.5 inches) yielded a low of 32 tons/ac. For reference, average applied water reported for this crop on the Central Coast is about 22.5 inches by way of a variety of irrigation methods including drip, sprinkler, and furrow. Aboveground biomass was evaluated 91 DAT. The 100% treatment had the highest fresh (105 tons/ac) and dry (7.7 tons/ac) biomass yield. Commercial bulk yields at 98 DAT and were maximized by 20-24 inches of water (100%, 125% treatments) and ranged from a high of 67 tons/ac for 125% ETc treatment (24.3 inches of water) to 35 tons/ac for the 50% treatment (12.6 inches). The results demonstrated that yield and quality targets for this crop can be met by drip irrigation, and CropManage is an effective decision support tool for evaluating crop water requirements based on weather data.