Prediction of production traits by using body features of gilthead seabream (Sparus aurata) obtained from digital images

B. Gulzari, A. Mencarelli, C. Roozeboom, H. Komen, J.W.M. Bastiaansen

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademic

Abstract

Gilthead seabream (Sparus aurata) is a key aquaculture species in the Mediterranean and surrounding regions. While many traits are of interest in seabream breeding programs, phenotypes of them cannot always be easily or accurately measured. Therefore, the objectives are to predict phenotypes of production traits by using automated measurements of body features from digital images and to obtain genetic correlations between measured and predicted phenotypes. The production traits analysed were harvest weight (HW), fillet weight (FW), and fillet percentage (F%). Each image feature was tested for prediction of phenotypes by using 10-fold cross-validation. The phenotypic and genetic correlations of measured and predicted phenotypes were 0.98 and 0.996 for HW, 0.93 and 0.99 for FW, 0.27 and 0.70 for F%, respectively. The relative efficiency of mass selection was higher for predicted phenotypes, except for HW.
Original languageEnglish
Title of host publicationProceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Subtitle of host publicationTechnical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges
EditorsR.F. Veerkamp, Y. de Haas
Place of PublicationWageningen
PublisherWageningen Academic Publishers
Pages2412-2415
ISBN (Electronic)9789086869404
DOIs
Publication statusPublished - 2022
EventWorld Congress on Genetics Applied to Livestock Production: WCGALP 2022 - Rotterdam, Netherlands
Duration: 3 Jul 20228 Jul 2022

Conference

ConferenceWorld Congress on Genetics Applied to Livestock Production: WCGALP 2022
Country/TerritoryNetherlands
CityRotterdam
Period3/07/228/07/22

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