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Determining annual production capabilities for sequential rearing programs through the use of routine fish culture data

机译:通过使用常规鱼类养殖数据确定顺序饲养计划的年生产能力

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Routine fish culture data, such as growth rates, feed conversion, length-weight relationships, and mortality rates from empirical studies of rainbow trout Oncorhynchus mykiss, are used to model sequential rearing strategies in order to demonstrate their impact on production. Increasing the frequency of cohort introductions into the rearing cycle improves output but at a diminishing rate. Moving from a single-cohort, batch culture strategy to one that involves two cohorts per rearing cycle increases production by as much as 60%. For the same number of cohort introductions per rearing cycle and similar feed conversions, slow-growing fish realize the same annual output as fast-growing fish, but a greater number of fish (i.e., greater biomass) must be maintained with the former. Five different rearing strategies are presented, namely, those involving 1, 2, 4, 6, and 12 cohorts. Two to six cohorts per rearing cycle appear to be optimal for nonmixed production programs.
机译:常规的鱼类养殖数据,例如生长速度,饲料转化率,长度-重量关系和虹鳟鱼(Oncorhynchus mykiss)实证研究的死亡率,被用于模拟顺序饲养策略,以证明其对生产的影响。增加同类群进入饲养周期的频率可以提高产量,但速度会降低。从单队列的批量培养策略过渡到每个饲养周期涉及两个队列的策略,最多可将产量提高60%。对于每个饲养周期引入的同类种群数量和相似的饲料转化率,缓慢生长的鱼类实现的年产量与快速生长的鱼类相同,但前者必须保持更多的鱼类(即更大的生物量)。提出了五种不同的饲养策略,即涉及1、2、4、6和12个队列的策略。对于非混合生产计划,每个饲养周期最好有2至6个队列。

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