Estimation of genetic parameters for body areas in Nile tilapia measured by digital image analysis.

Autor: Cardoso AJDS; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil., Oliveira CAL; Department of Animal Science, Universidade Estadual de Maringá, Maringá, Brazil., Campos EC; Department of Animal Science, Universidade Estadual de Maringá, Maringá, Brazil., Ribeiro RP; Department of Animal Science, Universidade Estadual de Maringá, Maringá, Brazil., Assis GJF; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil., Silva FFE; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil.
Jazyk: angličtina
Zdroj: Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie [J Anim Breed Genet] 2021 Nov; Vol. 138 (6), pp. 731-738. Date of Electronic Publication: 2021 Apr 23.
DOI: 10.1111/jbg.12551
Abstrakt: Digital image analysis is a practical, non-invasive, and relatively low-cost tool that may assist in the evaluation of body traits in Nile tilapia, being particularly useful for assessing difficult-to-measure variables, such as body areas. In this study, we aimed to estimate variance components and genetic parameters for body areas of Nile tilapia obtained by digital images. The data set comprised body weight (BW) records of 1,917 pond-reared fish at 366 days of age. Of this total, 656 animals were photographed and subjected to image analysis of trunk area (TA), head area (HA), caudal fin area (CFA) and fillet area (FA). Heritabilities and genetic correlations were estimated through multiple-trait models based on Bayesian inference. Heritability estimates for BW, TA, HA, CFA and FA were 0.25, 0.23, 0.26, 0.21 and 0.25, respectively. Genetic correlations between the traits were high and positive, ranging from 0.70 to 0.98. We highlight the genetic correlation between BW and TA (r G  = 0.98) and FA (r G  = 0.97). In view of the observed results, it can be concluded that trunk and fillet areas obtained by digital image analysis can lead to indirect genetic gains in weight and other body areas. In addition, the areas studied have potential as a selection criterion and may assist in studies on changes in the body shape in Nile tilapia.
(© 2021 Wiley-VCH GmbH.)
Databáze: MEDLINE
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