Proceedings of the International Conference on Science Technology and Social Sciences – Biology Track (ICONSTAS-BIO 2023)

Morphological Variation Assessment on Male and Female Tilapia, Oreochromis niloticus From Two Fish Farms in Negeri Sembilan, Malaysia

Authors
Muhammad Adli Budin1, Izzati Adilah Azmir2, *, Nur Ain Aqilah Ibrahim2
1Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), Cawangan Negeri Sembilan, Kampus Kuala Pilah, 72000, Kuala Pilah, Negeri Sembilan, Malaysia
2Faculty of Applied Science, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia
*Corresponding author. Email: izzati_adilah@uitm.edu.my
Corresponding Author
Izzati Adilah Azmir
Available Online 17 October 2024.
DOI
10.2991/978-94-6463-536-2_21How to use a DOI?
Keywords
Tilapia; Morphometric variability; DFA; CFA
Abstract

Tilapia is unique in that it continues to play a significant role in rural aquaculture, helping to improve farmers’ livelihoods. The aim of this study was to calculate the distance between specified morphological characteristics of the Tilapia fish and to determine the inter-population morphometric variability of Tilapia from various fish farms using truss-morphometric characters. A total of 50 samples were collected using fish nets from two selected fish farms in Negeri Sembilan namely Ulu Bendul & Kuala Pilah, in which 25 samples were caught from each farm. The samples then were soaked with fish tranquilizer to prevent it from moving, as for morphometric measurement, it was measured by using digital calipers. The study discovered that the two red tilapia populations had considerable morphometric variability. For both male and female specimens, multivariate analysis revealed substantial variations in morphometric features between the two populations of red tilapia. For both genders, the discriminant analysis plot revealed a clear distinction between two separate groups. There is no overlapping among the two sexes of two different populations is shown through canonical variate analysis plot. The results revealed that both Function 1 and Function 2 was successful in classifying the individuals into four distinct groups (Ulu Bendul Male (UBM), Ulu Bendul Female (UBF), Kuala Pilah Male (KPM), and Kuala Pilah Female (KPF)). Species identification is an important part of biodiversity monitoring. It was able to examine morphometric character variation and fish growth using the ANOVA and t-test. The DFA demonstrated that it was beneficial in categorising the samples not only into species groups, but also into sexes.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Science Technology and Social Sciences – Biology Track (ICONSTAS-BIO 2023)
Series
Advances in Biological Sciences Research
Publication Date
17 October 2024
ISBN
978-94-6463-536-2
ISSN
2468-5747
DOI
10.2991/978-94-6463-536-2_21How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Muhammad Adli Budin
AU  - Izzati Adilah Azmir
AU  - Nur Ain Aqilah Ibrahim
PY  - 2024
DA  - 2024/10/17
TI  - Morphological Variation Assessment on Male and Female Tilapia, Oreochromis niloticus From Two Fish Farms in Negeri Sembilan, Malaysia
BT  - Proceedings of the International Conference on Science Technology and Social Sciences – Biology Track (ICONSTAS-BIO 2023)
PB  - Atlantis Press
SP  - 243
EP  - 263
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-536-2_21
DO  - 10.2991/978-94-6463-536-2_21
ID  - Budin2024
ER  -