Analysis of the use of Analytics Platform for the Commercial Value of Mud crab Production using Non-parametric Model

Perea, Rossian V.; Festijo, Enrique D.

doi:10.1109/ccwc54503.2022.9720844

Cited by 2 publications

(2 citation statements)

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“…The mud crab, Scylla paramamosain , holds significant economic importance and has become a major contributor to the global seafood market ( Tang et al, 2020 ; Perea and Festijo, 2022 ). Renowned for its rapid growth, large size, high meat yield, and delectable flavor, the mud crab is widely favored in the coastal regions of southern China.…”

Section: Introductionmentioning

confidence: 99%

The shared microbiome in mud crab (Scylla paramamosain) of Sanmen Bay, China: core gut microbiome

Jiang,

Niu,

Qin

et al. 2023

Front. Microbiol.

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IntroductionThe mud crab, Scylla paramamosain, holds great commercial significance as a marine crustacean widely cultivated in the Indo-Pacific region. Understanding the core gut microbiota of aquatic animals is crucial for their overall health and growth, yet the core gut microbiota of mud crab remains poorly characterized.MethodsIn this study, we gathered gut samples from mud crabs across five locations within Sanmen Bay, China. Through the utilization of high-throughput sequencing, we delved into the composition of the gut microbial community and identified the core gut microbiome of mud crab.ResultsOur results demonstrate that the gut microbial diversity of mud crab did not exhibit significant variation among the five sampling sites, although there were some differences in community richness. At the phylum level, we identified 35 representative phyla, with Firmicutes, Proteobacteria, Bacteroidota, and Campilobacterota as the dominant phyla. Among the 815 representative genera, we discovered 19 core genera, which accounted for 65.45% of the total sequences. These core genera were distributed across 6 phyla, and among them, Photobacterium exhibited the highest average relative abundance.DiscussionPhotobacterium has probiotic activity and may play a crucial role in enhancing the immune response of the host and maintaining the diversity of the gut microbiota. Moreover, we observed a positive correlation between the relative abundance of core genera and the stability of the gut microbial community. Furthermore, our findings revealed distinct differences in gut microbial composition and specific taxa between the sexes of mud crab. These differences subsequently influenced the functionality of the gut microbial community. Overall, our investigation sheds light on the core gut microbiota of mud crab, emphasizing the importance of core gut microbial communities in maintaining the health and growth of these commercially significant marine crustaceans.

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Section: Introductionmentioning

confidence: 99%

The shared microbiome in mud crab (Scylla paramamosain) of Sanmen Bay, China: core gut microbiome

Jiang,

Niu,

Qin

et al. 2023

Front. Microbiol.

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“…In this paper, the basic cumulative error sum of squares is selected as the criterion function, and the specific form is shown in the following analysis. In identification engineering, the determination of the model is mainly based on experience to make assumptions about the characteristics of the actual object, such as whether the model of the object is linear or nonlinear, whether it is a parametric model or a non-parametric model [ 24 – 28 ].…”

Section: Introductionmentioning

confidence: 99%

Estimation and Identification of Nonlinear Parameter of Motion Index Based on Least Squares Algorithm

Qin

2022

Computational Intelligence and Neuroscience

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Parameter identification is an important branch of automatic control. Due to its special function, it has been widely used in various fields, especially the modeling of complex systems or systems whose parameters are not easy to determine. With the development of control technology, the scale of the control object is getting larger and larger, which makes the calculation amount of the identification algorithm larger and larger. For the nonlinear system with complex structure, especially the nonlinear system containing the product of unknown parameters, the number of parameters of the over-parameterized identification method increases greatly, and the calculation amount of the identification algorithm also increases sharply. Therefore, a parameter estimation method with a small amount of calculation is explored. The results show that the proposed method can overcome the phenomenon of “data saturation”, thus improving the parameter identification results.

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Analysis of the use of Analytics Platform for the Commercial Value of Mud crab Production using Non-parametric Model

Cited by 2 publications

References 10 publications

The shared microbiome in mud crab (Scylla paramamosain) of Sanmen Bay, China: core gut microbiome

The shared microbiome in mud crab (Scylla paramamosain) of Sanmen Bay, China: core gut microbiome

Estimation and Identification of Nonlinear Parameter of Motion Index Based on Least Squares Algorithm

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