Horizontal target strength-size conversion equations for sea bass and gilt-head bream

Rodríguez-Sánchez, Victoria; Rodríguez-Ruiz, Amadora; Pérez‐Arjona, Isabel; Encina-Encina, Lourdes

doi:10.1016/j.aquaculture.2018.02.034

Cited by 13 publications

(8 citation statements)

References 21 publications

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“…The findings of this study reveal that the weight or length of the fish is directly proportional to its volume‐backscattering strength, similar to previous studies such as that of Rodríguez‐Sánchez et al (2016) and (Rodríguez‐Sánchez et al, 2018). The fish length can then be used for succeeding analysis.…”

Section: Discussionsupporting

confidence: 91%

“…( 2016) and (Rodríguez-Sánchez et al, 2018). The fish length can then be used for succeeding analysis.…”

Section: Discussionmentioning

confidence: 99%

“…In other words, target strength is used to develop a conversion equation that translates the sound returned by the fish into measurable biological parameters (i.e. weight, length, age; Rodríguez‐Sánchez et al, 2018), which can then be used to estimate fish quantity and size in the ecosystem (Lucas & Baras, 2000). Some studies reveal the importance of getting the target strength information, as it can cause up to 40% error when assessing fish biomass (Foote, 1987; Simmonds & MacLennan, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…The hydroacoustic method to survey fishery resources had been widely utilized in rivers, lakes and reservoirs (Lilja et al, 2003; Prchalová et al, 2003) but may not work well in a very high‐density pond (Rodríguez‐Sánchez et al, 2018). Hydroacoustic instruments, such as echosounder sends and receives sound waves to detect objects and fish below the water surface (Simmonds & MacLennan, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…periodic sampling or net sampling method). Apart from fish pond biomass, other factors such as fish size, water temperature, fish quality, season, and pond size influence feeding estimation (Rodríguez‐Sánchez et al, 2018). A more accurate way of determining the fish pond biomass will allow fishermen a more efficient and effective fish production and management and minimization of waste products that will affect the water quality.…”

Section: Introductionmentioning

confidence: 99%

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Hydroacoustic assessment of standing stock of Nile tilapia ( Oreochromis niloticus ) under 120 kHz and 200 kHz split‐beam systems in an aquaculture pond

Liu

Setiazi

2021

Aquaculture Research

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Tilapia production is one of the most diversified fish sectors globally and is expected to continually grow. In Taiwan, Nile tilapia (Oreochromis niloticus) is the second most produced fish species in the aquaculture industry. Traditionally, fishermen would use a net to estimate the volume of the fish species in the, pond but this method offer numerous disadvantages and acoustic methods were proven to be reliable in fisheries resource survey. Thus, this study explored an acoustic method to measure the standing stock and biomass in a Nile tilapia aquaculture pond. A rectangular tank (2.3 × 0.82 × 0.66 m) with a set of echo sounders (frequencies: 120 and 200 kHz) fixed on a steel frame was utilized to approximate the target strengths of Nile tilapia samples (n = 35) in lateral positions. Findings reveal that the estimated target strength using the two beam frequencies did not differ significantly (p > 0.05). A horizontal conversion equation in lateral position was established, which was used for biomass backscattering analysis of Nile tilapia in fish ponds. The results show that 120 kHz frequency can accurately predict Nile tilapia fish biomass in an aquaculture pond. This study has determined a species‐specific equation for the hydroacoustic method to enable a more accurate estimation of fish biomass, such as that of Nile tilapia. Fish biomass estimation will enhance aquaculture management, such as optimizing capital invested and minimizing overfeeding.

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Section: Discussionsupporting

confidence: 91%

“…( 2016) and (Rodríguez-Sánchez et al, 2018). The fish length can then be used for succeeding analysis.…”

Section: Discussionmentioning

confidence: 99%