Área de Bioeconomía, Gestión y Control de Producción., Benchmark Genetics Chile, Santa Rosa 560 oficina 25 B, Puerto Varas, Chile; Programa de Doctorado en Ciencias en Bioeconomía Pesquera y Acuícola, Centro Interdisciplinario de Ciencias Marinas del Instituto Politécnico Nacional, La Paz, Mexico.
Departamento de Recursos del Mar, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mérida, Mexico.
J Therm Biol. 2020 Dec;94:102756. doi: 10.1016/j.jtherbio.2020.102756. Epub 2020 Oct 8.
In aquaculture, the application of predictive techniques based on statistical-mathematical modeling allows not only to project and study individual growth trajectories, but also to evaluate the probable effect of external factors that would explain their behavior over time. This is the case of this work, which takes the above as a principle to demonstrate the effect of water temperature on the growth of the Pacific white shrimp Litopenaeus vannamei cultured in fresh water (0 mg L), using densities of 90, 120, 180, 230, 280 and 330 shrimp m. Shrimp were exposed to water temperature between 11.5 °C and 31.6 °C. Temperature effect was determined using a parameterized Gompertz growth model with experimental data from each initial culture density. The best shrimp productivity yield was obtained above 26 °C, and the least efficient was below 22 °C. Densities of 90-180 shrimp m and 230-330 shrimp m generated a maximum average size of 12.6 g and 8.8 g in 30 weeks, respectively. Here we present the implications of the effect of water temperature on the intensive culture of white shrimp with zero salinity (0 mg L) using these techniques from a predictive analytical approach.
在水产养殖中,基于统计数学建模的预测技术的应用不仅可以预测和研究个体的生长轨迹,还可以评估可能影响其随时间变化的行为的外部因素的效果。这项工作就是基于这一原则,展示水温对在淡水(0mg/L)中养殖的凡纳滨对虾(Litopenaeus vannamei)生长的影响,使用密度为 90、120、180、230、280 和 330 只虾/m 的情况。虾暴露在 11.5°C 至 31.6°C 的水温下。使用参数化的 Gompertz 生长模型来确定水温的影响,该模型使用每个初始养殖密度的实验数据。在 26°C 以上,虾的生产率最高,在 22°C 以下,效率最低。在 30 周内,密度为 90-180 只虾/m 和 230-330 只虾/m 分别产生了最大平均大小为 12.6g 和 8.8g。在这里,我们从预测分析的角度介绍了使用这些技术对零盐度(0mg/L)的白虾集约化养殖的水温影响的意义。