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Turkish Journal of Fisheries and Aquatic Sciences 2023, Vol 23, Num, 2     (Pages: TRJFAS21356)

Heterogeneous Growth Prediction in Farmed Tilapia

Roger Domínguez-May 1 ,Eucario Gasca-Leyva 1 ,Gaspar R. Poot-López 2 ,Marcelo Araneda 3-4

1 Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional Departamento de Recursos del Mar, Km. 6 de la carretera antigua a Progreso, Mérida, Yucatán, México, C.P. 97201
2 Departamento de Biología Marina, Campus de Ciencias Biológicas y Agropecuarias, Universidad Autónoma de Yucatán, México Carretera a Xmatkuil Km. 15.5 Apartado Postal núm. 116 CP. 97315 Mérida, Yucatán, México
3 Área de Bioeconomía, Gestión y Control de Producción., Benchmark Genetics Chile, Santa Rosa 560 oficina 25 B, Puerto Varas, Chile
4 Programa de Doctorado en Ciencias en Bioeconomía Pesquera y Acuícola, Centro Interdisciplinario de Ciencias Marinas del Instituto Politécnico Nacional, La Paz, México
DOI : 10.4194/TRJFAS21356 Viewed : 43 - Downloaded : 37 This study displays the application of the quantile regression theory to predict the size heterogeneity of cultured organisms. The analysis was applied to empirical data of the tilapia cultured in freshwater. Tilapia was cultured at four diets (50%, 80%, 100%, and Satiation). The quantile regression (QR) demonstrated to successfully model the size heterogeneity in tilapia (p<0,05; u<0,20), due to the feeding strategies effect. These results indicate tilapia fed an 80% ration size simulated a maximum biomass of 2,345.17 and 2,853.38kg at the harvest size of 200-300g (at 180 days) and 300-400g (at 210 days). The simulation of the quantile curves at a higher production scale allowed an estimate of the biomass distribution according to different market sizes, this strengthens management decision making in tilapia aquaculture. Implications of quantile regression and size heterogeneity in aquaculture are presented here. Keywords : Gastropod Gamont Sporocyst Bacteria-like