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Bronze Award: Capture-Analyse-Predict (C.A.P): A Novel Method to Predict the Reproductive Output of Livebearing Fishes

Citation

Norazmi, LN and Patil, JG and Purser, GJ, Bronze Award: Capture-Analyse-Predict (C.A.P): A Novel Method to Predict the Reproductive Output of Livebearing Fishes, Research and Innovation Week 2019 Theme: Human Civilisation through Sustainable research and Innovation, Terengganu, Malaysia (2019) [Award]


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Abstract

In most livebearing fish such as mosquitofish and guppy, the gravid spot is an excellent marker to identify brooding females, however its potential as a biomarker for other reproductive attributes such as timing of parturition and clutch size previously remain unexplored. The ability to predict reproductive output in livebearing fish is essential especially in high value commercial species such as guppies where the price can reach up to RM 1000 per pair depending on its varieties. Previously, the only method to know the reproductive output of livebearing fishes are by either killing it or just waiting for it to parturate. This make it difficult for breeders to manage their livebearing ornamental fish hatchery and plan their marketing strategy in advance. Through C.A.P, breeders just need to capture the photo of the gravid spot, analyse its intensity using any free user friendly software available online and insert the value of the gravid spot intensity, fish size and weight into a specified mathematical formula that have been developed and tested for its reliability. Breeders can then easily predict the reproductive output of their broodstock in advance thus easing its hatchery and production management (amount of broodstock needed to fulfil market demand, tanks, food needed etc). This novel technique can also be used by aquatic ecology and aquaculture science researchers doing downstream reproductive investigations on livebearing fish both in the field and laboratory.

Item Details

Item Type:Award
Keywords:gravid spot, reproductive output
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Fish physiology and genetics
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Fisheries - recreational freshwater
UTAS Author:Norazmi, LN (Dr Lokman Norazmi)
UTAS Author:Patil, JG (Dr Jawahar Patil)
UTAS Author:Purser, GJ (Associate Professor John Purser)
ID Code:138304
Year Published:2019
Funding Support:Australian Research Council (LP140100428)
Deposited By:Fisheries and Aquaculture
Deposited On:2020-03-31
Last Modified:2020-04-01
Downloads:0

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