Simulation of optimal harvesting strategies for small-scale mixed-sex tilapia (Oreochromis shiranus Boulenger 1896) ponds using a bio-economic model

A cohort‐based bio‐economic biomass growth and economic model, validated with data from experiments conducted in Malawi, was used to identify an optimal harvesting strategy for mixed‐sex tilapia ponds. Three harvesting scenarios (baseline, economic optimum time +10 days and economic optimum time) were used. In each harvesting scenario four options were explored: (i) no further harvest, harvest every (ii) 60 days, (iii) 90 days and (iv) 120 days after initial harvest. The lowest simulated yield (487 kg ha⁻¹ year⁻¹) was obtained when no partial harvesting was carried out and fish were harvested after 365 days. Maximum yield (4416 kg ha⁻¹ year⁻¹) was obtained when partial harvests were carried out every 90 days starting with a first harvest of fish weighing 60 g or more at day 90. Maximum financial returns (US$2561 ha⁻¹ year⁻¹) were obtained when partial harvests were carried out every 120 days starting with the first harvest at day 90 and removing all fish ≥60 g. The model simulations indicate that mixed‐sex tilapia culture may be profitable for tilapia farmers in Africa where markets accept small (60–150 g)‐sized fish. The study further shows that a cohort‐based population growth model can be reliably incorporated in tilapia production models to simulate fish yields in mixed‐sex tilapia production systems. However, incorporation of intergenerational competition effects could improve the model's utility as a decision support tool for managing mixed‐sex tilapia production.