2019
DOI: 10.1016/j.aquaculture.2018.11.013
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Acoustic characterization of feeding activity of Litopenaeus vannamei in captivity

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Cited by 44 publications
(27 citation statements)
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“…The sound emission occurs during the occlusion of the mandibles when they collide with each other to shred the pellets before entering the oral cavity, which is similar to the mechanism reported for penaeids (Silva et al, 2019;Smith & Tabrett, 2013). Like in penaeids, the mandibles are heavily calcified; however, the presence of an internal molar tooth with grinding function is a distinct feature for M. rosenbergii (Hunt et al, 1992;Kawamura et al, 2018;Silva et al, 2019). Molar and incisor teeth are composed of calcium phosphate, but molars are less mineralized and are covered by brownish chitinous layer (Bentov et al, 2016 Soares, Silva, et al, 2020;Silva et al, 2019), and showed the same SPL levels as those found for P. monodo n (Smith & Tabrett, 2013).…”
Section: Discussionsupporting
confidence: 67%
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“…The sound emission occurs during the occlusion of the mandibles when they collide with each other to shred the pellets before entering the oral cavity, which is similar to the mechanism reported for penaeids (Silva et al, 2019;Smith & Tabrett, 2013). Like in penaeids, the mandibles are heavily calcified; however, the presence of an internal molar tooth with grinding function is a distinct feature for M. rosenbergii (Hunt et al, 1992;Kawamura et al, 2018;Silva et al, 2019). Molar and incisor teeth are composed of calcium phosphate, but molars are less mineralized and are covered by brownish chitinous layer (Bentov et al, 2016 Soares, Silva, et al, 2020;Silva et al, 2019), and showed the same SPL levels as those found for P. monodo n (Smith & Tabrett, 2013).…”
Section: Discussionsupporting
confidence: 67%
“…monodon and L . vannamei , such as pulse time duration (seconds), frequency band (hertz) and energy (decibel) (Peixoto, Soares, & Davis, 2020; Peixoto, Soares, Silva, et al, 2020; Silva et al, 2019; Smith & Tabrett, 2013). Passive acoustics monitoring (PAM) has been applied to detect and convert these clicks into electrical energy, allowing to assess an instant profile of shrimp feeding activity (Smith & Shahriar, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Existing studies generally believe that when Litopenaeus vannamei eats, the food is crushed by the collision and friction of the jaws of the shrimp to produce acoustic signals, and the feeding sound is a continuous "click" sound [11]. However, this study has found through many experiments that the acoustic signals emitted by Litopenaeus vannamei when feeding are mainly produced by the behavior of the shrimps swimming and grabbing food when they are hungry.…”
Section: Introductionmentioning
confidence: 79%
“…Passive acoustics represent the most promising technology so far, being already widely used on shrimp farms around the world. It has been proven to produce reliable and instantaneous feed demand estimates (Smith & Tabrett 2013;Silva et al 2019;Peixoto et al 2020b) and its adoption results in improvements in feed management (Napaumpaiporn et al 2013;Jescovitch et al 2018;Ullman et al 2019a;Reis et al 2020). Since passive acoustics have already been developed for the shrimp farming industry, research efforts should focus on this technology and go beyond the assessment of feeding activity by developing feed consumption estimates, i.e.…”
Section: Discussionmentioning
confidence: 99%
“…Passive acoustic monitoring (PAM) is the recording and exploitation of sounds using passive acoustic sensors such as hydrophones (Gibb et al 2019). Widely used in the remote observation of marine mammals (Ford & Fisher 1978;Cummings & Holliday 1985), PAM has had a more recent application in modern shrimp farming through the control of feed dispersal in ponds (see Smith & Shahriar 2013;Smith & Tabrett 2013;Jescovitch et al 2018;Silva et al 2019;Ullman et al 2019a;Reis et al 2020). The technology uses a hydrophone to detect the 'clicking' sounds or 'feeding signatures' produced by penaeid shrimp when they interact with feed (Hunt et al 1992), with distinctive spectral features exploited by an algorithm to automatically detect the number of signatures recorded at a given time (Smith & Shahriar 2013;Smith & Tabrett 2013).…”
Section: Passive Acoustic Monitoringmentioning
confidence: 99%