Comparison of morphometric identification of species in juvenile mangrove crabs (genus Scylla) by automated and local approaches
College
College of Science
Department/Unit
Biology
Document Type
Article
Source Title
Aquaculture
Volume
531
First Page
1
Last Page
6
Publication Date
2021
Abstract
Morphological species identification in juvenile Scylla is now possible using image analysis of frontal lobe spines. The differences found are subtle and require automation using a mobile application. Considering the bulk of crablets to be sorted for trading, distinct features that can help stakeholders distinguish the species of juveniles at a glance is still needed. In this study, morphometric analysis of dorsal carapace features was performed to identify more obvious features for species identification. Principal component analysis of ten morphometric characters from 1186 juveniles revealed only two clusters with Scylla olivacea creating a separate group from S. tranquebarica and S. serrata. The most distinguishable ratio for S. olivacea, determined through discriminant analysis and ANOVA, was the ratio of the frontal median spine height to the frontal width at 0.035 (p = 0.002). There is an emerging market for S. olivacea in the soft-shell crab industry. Selection of this smaller but useful species can aid fishers in setting appropriate prices for traded crablets and minimize predation to the larger S. tranquebarica and S. serrata. Testing if the ratio can be detectable by visual approximation is ongoing as well as alternative features based on local practices.
html
Digitial Object Identifier (DOI)
https://doi.org/10.1016/j.aquaculture.2020.735917
Recommended Citation
Abeledo, C. V., Solis, K., Angeles, A. D., Valdez, J. C., Ngo, C. M., & Lagman, M. A. (2021). Comparison of morphometric identification of species in juvenile mangrove crabs (genus Scylla) by automated and local approaches. Aquaculture, 531, 1-6. https://doi.org/https://doi.org/10.1016/j.aquaculture.2020.735917
Disciplines
Biology
Keywords
Scylla (Crustacea)—Identification
Upload File
wf_no