This study evaluates Bay Scallop (Argopecten irradians) performance across four grow-out gear types at an aquaculture farm. Conducted from October 2024 to February 2025 at Roger Williams University’s 2-acre aquaculture farm in Mount Hope Bay (41.65092° N, 71.25615° W), the study compares four grow-out systems: bottom cages with bags (n = 6), double-stack bottom trays without bags (n = 4), floating boxed bags modified with side floats (n = 4), and floating plastic baskets modified with top floats (n = 4). The primary objectives are (1) to identify the grow-out gear that best supports scallop growth and survival in cold seasons, (2) to evaluate biofouling’s impact on water flow and scallop health, and (3) to provide recommendations for sustainable aquaculture practices.
Scallops were sourced in August, sorted for uniform size in October, and initially measured for weight and length to establish baseline growth data. Monthly assessments include growth rates (weight and shell length), mortality, and Condition Index (CI), calculated as the ratio of meat to shell weight. Biofouling assessments record fouling organism type and extent monthly, with biweekly cleaning of gear to ensure optimal water flow and scallop health. Water quality is monitored hourly for temperature, light, pH, dissolved oxygen, and ammonia using Onset HOBO® sensors and a multi-parameter online analyzer.
We hypothesize that floating gear will exhibit improved growth and survival due to better water flow and less sediment exposure, while bottom-based systems may face higher biofouling and lower growth rates. We anticipate that floating systems, especially modified plastic baskets, will support higher growth and survival due to enhanced water flow and nutrient access, whereas bottom-based systems may encounter biofouling challenges affecting water quality and scallop health. These findings aim to guide aquaculture practitioners in selecting optimal gear for colder months, enhancing productivity, sustainability, and economic resilience in scallop farming.