Length-weight relationship and condition factor of white shrimp <i>Penaeus merguiensis</i> captured in ecosystem mangrove of Bagan Asahan, Tanjungbalai, Asahan, North Sumatra, Indonesia

Suryanti, Ani; Riza, Nurasiah; Razai, Tengku Said

doi:10.1088/1755-1315/122/1/012108

Cited by 3 publications

(2 citation statements)

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“…Tirtadanu and Ernawati (2016) in northern coastal water of Pemalang Regency, Central Java also obtained negative allometry pattern for both male and female shrimp. Suryanti et al (2018) obtained negative allometry for male shrimp and positive allometry for the female pattern when conducting length-weight relationship of P. merguiensis in mangrove ecosystem, North Sumatera. The size of shrimp during recruit using Minitrawler, Danish seine, and sodo was 20-22.5mm, weighing 2-4g.…”

Section: Mortality and Exploitation Ratementioning

confidence: 89%

Growth, Mortality, and Exploitation Rate of Penaeus merguensis in the North Coast of Central Java, Indonesia

2019

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One of the most-caught shrimp in north coast of Central Java is Penaeus merguiensis. However, little is known on the population biology of the organisms. This study was aimed to investigate length-weight relationship, growth, length at first capture (Lc50), mortality rate, and exploitation rate of P. merguiensis in Western part of Central Java’s northern coastal waters. The study was conducted from May 2016 to July 2017 using survey method. Samples were taken for 15 times (month) from 9 coastal fishing ports. The result shows that the relationship of the carapace length and weight is negative allometry. The growth parameters of CL∞ and K were 52.5mm and 1.3 y-1 (male) and 57.25mm and 1.2 y-1 (female). Total mortality rate (Z), natural mortality rate (M), and fishing mortality rate (F) were 4.51 y-1, 1.86 y-1 and 2.65 y-1 (male), and 5.36 y-1, 1.72 y-1, and 3.64 y-1 (female), respectively. The exploitation rate (E) of male banana shrimp was 0.59, and for female shrimp was 0.68. The result shows that the exploitation level has exceeded the optimum level (E>0.5). Recruitment of P. merguiensis may occur the whole year, but it peaks were in March and August (male), April and August (female). Carapace length of first captured (CLc50) was 20.63mm (male) and 18.28mm (female). It means that the sized of captured P. merguiensis is less than the size of first mature (CLm50) or growth overfishing and as a result, disrupting the availability of adult shrimp. The condition occurs due to the size of cod-end mesh measured 0.75inc.

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Section: Mortality and Exploitation Ratementioning

confidence: 89%

Growth, Mortality, and Exploitation Rate of Penaeus merguensis in the North Coast of Central Java, Indonesia

2019

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“…Separation of shrimps with different mass values can be accomplished by appropriately adjusting the distance between the twin-rollers. Although this sorting machine is tolerant to vibration and water accumulation, choosing the right distance between the rollers is considered challenging because the diameter of a shrimp is not only influenced by its mass but also age, gender (Chow & Sandifer, 1991;Suryanti, Riza, & Raza'i, 2018), and rearing condition (Araneda, Pérez, & Gasca-Leyva, 2008). For different target AS and UR values or different batches of raw material, approximately 30 minutes is required to optimize the distance between the rollers.…”

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Implementation of coupled pattern recognition and regression artificial neural networks for mass estimation of headless‐shell‐on shrimp with random postures

Poonnoy

Asavasanti

2021

J Food Process Engineering

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In an actual sorting process, shrimps are fed to a machine-vision-based sorter at random postures. This study proposed an Enhanced Artificial Neural Network (E-ANN) coupled with a Pattern Recognition ANN (P-ANN) model to overcome the posturespecificity of the regression ANN model commonly used for mass estimation of the headless-shell-on (HSO) shrimps. Images of 103 shrimps with seven different postures were used. The similarity of any shrimp image to the reference shrimp postures (i.e., extended-legs, collapsed-legs, curl body, and dorsal body) was determined by the P-ANN model and used as additional input, besides the area and perimeter. The coupled-ANN model could accurately estimate the mass of shrimps with random postures (R 2 = 0.70 to 0.88 and MRE = À2.62 to 2.97%) within~10 ms per shrimp, which is practical to use in an automatic shrimp sorting system based on machine vision technique. Further enhancement of the model performance could be achieved by adding color and texture features to distinguish different shrimp parts (e.g., body, legs, and tail). Practical ApplicationsThis research shows the potential of using a pattern recognition artificial neural network (P-ANN) to cut the limitation of the conventional regression ANN model based on area and perimeter for shrimp mass estimation, which is specific to shrimp posture (or shape). Since the coupled P-ANN and enhanced artificial neural network (E-ANN) used a relatively short processing time (~10 ms per shrimp) and yielded less than 1 g error in the mass estimation of the headless-shell-on (HSO) shrimps with random postures, it is possible to incorporate this coupled ANN model in an automatic shrimp sorting system based on machine vision technique. | INTRODUCTIONThe global farmed shrimp market continues to grow faster than those for other aquaculture species. The global trade of shrimp and prawns is estimated at USD 28 billion per year, coming mostly from farms in Asia and Latin America (mainly Ecuador). The majority of farmed shrimps is white shrimp or Penaeus vannamei (FAO, 2020). Since fresh shrimps are easily perishable, they are frozen and shipped from countries of origin to customers around the world. The shrimp products are available in various forms such as head-on-shell-on (HOSO) shrimp, headless-shell-on (HSO) shrimp, deveined shrimp, and so on. The frozen HSO shrimp is one of the highly sought-after export products of Thailand. Production of frozen HSO shrimps starts with receiving raw fresh shrimps from suppliers. The shrimps are then cleaned and de-headed. The removal of shrimp heads is a crucial step to prolong their shelf-life because shrimp heads contain several

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Food and feeding strategies of the green tiger shrimp, Penaeus semisulcatus, in southeastern India

Rajkumar,

Pillai,

Saravanan

et al. 2024

Journal of Crustacean Biology

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Observations and analysis of the food and feeding habits of penaeid shrimp are decisive for understanding food webs and ecological processes. Published information on the feeding habits of the green shrimp, Penaeus semisulcatusDe Haan, 1844, from Indian waters, however, dates back four decades, despite the fact that green tiger shrimp is one of the important shrimp species that forms a unique fishery in Palk Bay, on the southeastern India. Hence, its dietary preferences were analysed concerning sex, season, gonad maturity, and size. The species preyed on were composed of diversified components, with mollusc remains being the most common food item in females, followed by crustacean remains, whereas in males, the crustacean remains were the most common food items followed by mollusc remains. There was no significant difference in the gastrosomatic index of females and gonadal maturity stages among seasons, but a significant difference among size groups. In males, there was no significant difference among seasons, gonadal maturity, and size groups. Females were more active feeders than males, and the difference could be seen in their size groups. Larger groups fed more actively than smaller groups. Feeding was more active in the post-monsoon and summer monsoon seasons. Penaeus semisulcatus dominates the ecosystem among the shrimp species due to its carnivorous behaviour. The observations made in this study form key inputs for trophic modelling and ecosystem-based studies, which could help develop suitable strategies for managing the shrimp resource in Palk Bay.

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Length-weight relationship and condition factor of white shrimp Penaeus merguiensis captured in ecosystem mangrove of Bagan Asahan, Tanjungbalai, Asahan, North Sumatra, Indonesia

Cited by 3 publications

References 5 publications

Growth, Mortality, and Exploitation Rate of Penaeus merguensis in the North Coast of Central Java, Indonesia

Growth, Mortality, and Exploitation Rate of Penaeus merguensis in the North Coast of Central Java, Indonesia

Implementation of coupled pattern recognition and regression artificial neural networks for mass estimation of headless‐shell‐on shrimp with random postures

Food and feeding strategies of the green tiger shrimp, Penaeus semisulcatus, in southeastern India

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