Heritability coefficients of growth traits of rainbow trout from a national selection programme
DOI:
https://doi.org/10.17159/sajas.v55i8.02Keywords:
body weight, genetic variability, total length, troutAbstract
In order to create a selection programme aimed at improving the production characteristics of rainbow trout, broodstocks from eight fish farms in the Republic of Serbia were collected in 2010. The spawning of broodstocks, hatching of eggs, and rearing of offspring from different families of known parentage, until marking at five months of age, were carried out in individual tanks under strictly controlled conditions. After tagging, the fish were reared in a flow-through system on a commercial fish farm, where their growth was further monitored. The study of the phenotypic variability and heritability coefficients of the broodstock was carried out on a sample of 6565 individuals. The body weights and total lengths of the individuals were measured at five, 12, 24, and 36 months of age. Factors such as the year of spawning and sex proved to be highly statistically significant for the observed growth traits, while the heritability values of the analysed traits were moderate to high (0.22–0.68). The estimated heritability values provide an excellent basis for the continuation of the selective breeding programme, which will ultimately lead to the improvement of salmonid aquaculture and the profitability of rainbow trout production in the Republic of Serbia.
(Submitted 11 December 2024; Accepted 16 July 2025; Published 20 August 2025)
References
Aksungur, N., Aksungur, M., Akbulut, B., & Kutlu, I., 2007. Effects of stocking density on growth performance, survival and food conversion ratio of Turbot (Psetta maxima) in the net cages on the southeastern coast of the Black Sea. Turkish Journal of Fisheries and Aquatic Sciences, 7(2):147–152.
Barson, N.J., Aykanat, T., Hindar, K., Baranski, M., Bolstad, G.H., Fiske, P., Jacq, C., Jensen, A.J., Johnston, S.E., Karlsson, S., Kent, M., Moen, T., Niemelä, E., Nome, T., Næsje, T.F., Orell, P., Romakkaniemi, A., Sægrov, H., Urdal, K., Erkinaro, J., Lien, S., & Primmer, C.R., 2015. Sex-dependent dominance at a single locus maintains variation in age at maturity in salmon. Nature, 528:405–408. DOI: https://doi.org/10.1038/nature16062
D’Ambrosio, J., Phocas, F., Haffray, P., Bestin, A., Brard-Fudulea, S., Poncet, C., Quillet, E., Dechamp, N., Fraslin, C., Charles, M., & Dupont-Nivet, M., 2019. Genome-wide estimates of genetic diversity, inbreeding and effective size of experimental and commercial rainbow trout lines undergoing selective breeding. Genetics Selection Evolution, 51(1):26. DOI: https://doi.org/10.1186/s12711-019-0468-4
EL-Bab, A. F. F., El-Saiegh, S. S., Abd-Elghany, M. F., Khalifa, G. A. & Naiel, M. A. E. 2024. Influence of spawning year and size on reproductive parameters in adult European sea bass (Dicentrarchus labrax). Discover Animals, 1:13. https://doi.org/10.1007/s44338-024-00016-z.
Gjedrem, T., 2010. The first family-based breeding program in aquaculture. Reviews in Aquaculture, 2:2–15. DOI: https://doi.org/10.1111/j.1753-5131.2010.01011.x
Gjedrem, T., Robinson, N., & Rye, M., 2012. The importance of selective breeding in aquaculture to meet future demands for animal protein: a review. Aquaculture, 350–353:117–129. DOI: https://doi.org/10.1016/j.aquaculture.2012.04.008
Groeneveld, E., Kovac, M., & Mielenz, N., 2010. VCE6 User’s Guide and Reference. Institute of Farm Animal Genetics, Neustadt, Germany.
Groeneveld, E., Kovac, M., & Wang, T., 1990. PEST, a general purpose BLUP package for multivariate prediction and estimation. In: 4th World Congress on Genetics Applied to Livestock Production, Edinburgh, Scotland, 13:488–491.
Gunadi, B. & Robisalmi, A., 2021. Improving genetic quality of cultivated aquatic species under a breeding program: Case study of first generation (G1) population of red tilapia (Oreochromis spp). IOP Conference Series: Earth and Environmental Science, 744: 012020. DOI: 10.1088/1755-1315/744/1/012020
Hamzah, A., Ponzoni, W. R., Nguyen, H. N., Khaw, L. H., Yee, Y. H., & Nor, A. M. S. 2014. Genetic evaluation of the Genetically Improved Farmed Tilapia (GIFT) strain over ten generations of selection in Malaysia. Pertanika Journal of Tropical Agriculture Science, 37 (4): 411–429.
Houston, R.D., Bean, T.P., Macqueen, D.J., Gundappa, M.K., & Houston, L., 2020. Harnessing genomics to fast-track genetic improvement in aquaculture. Nature Reviews Genetics, 21(7):389–409. DOI: https://doi.org/10.1038/s41576-020-0227-y
Hu, G., Gu, W., Bai, Q., & Wang, B., 2013. Estimation of genetic parameters for growth traits in a breeding program for rainbow trout (Oncorhynchus mykiss) in China. Genetics and Molecular Research, 12(2):1457–1467. DOI: https://doi.org/10.4238/2013.april.26.7
Hung, D., Vu, N., Nguyen, N., Ponzoni, R., Hurwood, D., & Mater, P., 2013. Genetic response to combined family selection for improved mean harvest weight in giant freshwater prawn (Macrobrachium rosenbergii) in Vietnam. Aquaculture, 412–413:70–73. DOI: 10.1016/j.aquaculture.2013.07.015
Janampa-Sarmiento, P.C., Takata, R., De Freitas, T.M., De Sá Freire, L., De Britto Pereira, M.M., Lugert, V., Heluy, G.M., & Pereira, M.M., 2020. Modeling the weight gain of freshwater-reared rainbow trout (Oncorhynchus mykiss) during the grow-out phase. Revista Brasileira de Zootecnia, 49: e20190028. DOI: https://doi.org/10.37496/rbz4920190028
Johnsson, J.I., Brockmark, S., & Näslund, J., 2014. Environmental effects on behavioural development consequences for fitness of captive-reared fishes in the wild. Journal of Fish Biology, 85(6):1946–1971. DOI: https://doi.org/10.1111/jfb.12547
Kause, A., Paananen, T., Ritola, O., & Koskinen, H., 2007. Direct and indirect selection of visceral lipid weight, fillet weight and fillet percentage in a rainbow trout breeding program. Journal of Animal Science, 85(12):3218–3227. DOI: https://doi.org/10.2527/jas.2007-0332
Kause, A., Ritola, O., Paananen, T., Mäntysaari, E., & Eskelinen, U., 2002. Coupling body weight and its composition: a quantitative genetics analysis in rainbow trout. Aquaculture, 211(1–4):65–79. DOI: https://doi.org/10.1016/S0044-8486(01)00884-5
Leeds, T.D., Vallejo, R.L., Weber, G.M., Gonzalez-Pena, D., & Silverstein, J.T., 2016. Response to five generations of selection for growth performance traits in rainbow trout (Oncorhynchus mykiss). Aquaculture, 465(1):341–351. DOI: https://doi.org/10.1016/j.aquaculture.2016.08.036
Markovic, Z. & Mitrovic-Tutundzic, V., 2003. Gajenje riba. Zaduzbina Andrejevic. pp.129. (in Serbian).
Næve, I., Korsvoll, S.A., Santi, N., Medina, M., & Aunsmo, A., 2022. The power of genetics: Past and future contribution of balanced genetic selection to sustainable growth and productivity of the Norwegian Atlantic salmon (Salmo salar) industry. Aquaculture, 553: 738061. DOI: https://doi.org/10.1016/j.aquaculture.2022.738061
Nguyen, N.H., 2016. Genetic improvement for important farmed aquaculture species with a reference to carp, tilapia and prawns in Asia: Achievements, lessons and challenges. Fish and Fisheries, 17(2):483–506. https://doi.org/10.1111/faf.12122
Robledo, D., Gutiérrez, A.P., Barría, A., Lhorente, J.P., Houston, R.D., & Yáñez, J.M., 2019. Discovery and functional annotation of quantitative trait loci affecting resistance to sea lice in Atlantic salmon. Frontiers in Genetics, 10:56. DOI: https://doi.org/10.3389/fgene.2019.00056
Sae-Lim, P., 2016. Climate change and selective breeding in aquaculture. Journal of Animal Science, 94(suppl 5):195–196. DOI: https://doi.org/10.2527/jam2016-0403
Sae-Lim, P., Kause, A., Janhunen, M., Vehviläinen, H., Koskinen, H., Gjerde, B., Lillehammer, M., & Mulder, A.H., 2015. Genetic (co)variance of rainbow trout (Oncorhynchus mykiss) body weight and its uniformity across production environments. Genetics Selection Evolution, 47:46. DOI: https://doi.org/10.1186/s12711-015-0122-8
Sae-Lim, P., Komen, H., Kause, A., Martin, K.E., Crooijmans, R., van Arendonk, J.A.M., & Parsons, J.E., 2013. Enhancing selective breeding for growth, slaughter traits and overall survival in rainbow trout (Oncorhynchus mykiss). Aquaculture, 372–375:89–96. DOI: https://doi.org/10.1016/j.aquaculture.2012.10.031
SAS, 2013. SAS Version 9.1.3, SAS Institute Inc. Cary, NC, USA.
Serbezov, D., Bernatchez, L., Olsen, E., & Vøllestad, L., 2010. Quantitative genetic parameters for wild stream-living brown trout: heritability and parental effects. Journal of Evolutionary Biology, 23:1631–1641. DOI: https://doi.org/10.1111/j.1420-9101.2010.02028.x
Silverstein, J.T., Vallejo, R.L., Palti, Y., Leeds, T.D., Rexroad, III C.E., Welch, T.J., Wiens, G.D., & Ducrocq, V., 2009. Rainbow trout resistance to bacterial cold-water disease is moderately heritable and is not adversely correlated with growth. Journal of Animal Science, 87(3):860–867. DOI: https://doi.org/10.2527/jas.2008-1157
Thodesen, J., Rye, M., Yu-Xiang, W., Kong-Song, Y., Bentsen, B.H., & Gjedrem, T., 2013. Genetic improvement of tilapias in China: genetic parameters and selection responses in growth, survival and external color traits of red tilapia (Oreochromis spp.) after four generations of multi-trait selection. Aquaculture, 416–417:354–366. DOI: https://doi.org/10.1016/j.aquaculture.2013.09.047
Vo, T.A., Galloway, T.F., Bardal, T., Halseth, C.K., Øie, G., & Kjørsvik, E., 2016. Skeletal muscle growth dynamics and the influence of first-feeding diet in Atlantic cod larvae (Gadus morhua L.). Biology Open, 5(11):1575–1584. DOI: https://doi.org/10.1242/bio.018556
Yáñez, J.M., Houston, R.D., & Newman, S., 2014. Genetics and genomics of disease resistance in salmonid species. Frontiers in Genetics, 5:415. DOI: https://doi.org/10.3389/fgene.2014.00415
Yáñez, J.M., Newman, S., & Houston, R.D., 2015. Genomics in aquaculture to better understand species biology and accelerate genetic progress. Frontiers in Genetics, 6:128. DOI: https://doi.org/10.3389/fgene.2015.00128
Yoshida, G.M., Bangera, R., Correa, K., Soto, J., Salas, D., & Yáñez, J.M., 2019. Genomic prediction accuracy for growth and fillet traits in Nile tilapia (Oreochromis niloticus). G3: Genes, Genomes, Genetics, 9(9):2597–2607. DOI: https://doi.org/10.1534/g3.119.400225
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Copyright (c) 2025 V. Golubović, M. Stanković, D. Vukojević, D. Stanojević, R. Djedović, S. Marić, Z. Marković (Author)

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