Estimates of heritabilities and genetic correlations for growth and carcass traits in gilthead seabream (Sparus auratus L.), under industrial conditions

Navarro, Ana; Zamorano, M. J.; Hildebrandt, Silvia; Ginés, R.; Aguilera, Cristóbal; Afonso, Juan Manuel

doi:10.1016/j.aquaculture.2008.12.024

Cited by 122 publications

(135 citation statements)

References 34 publications

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“…There are numerous reports on the heritability estimates for growth related traits of cultured fish. The heritability estimates in the present study ranged from 0.12 to 0.37 which is comparable to those reported by Navarro et al (2009). Whatmore et al (2013) for body and carcass traits in Seriola lalandi (0.15 to 0.30).…”

Section: Heritability Estimationsupporting

confidence: 76%

Estimation of genetic parameters for growth related traits at different stages of development in Paralichthys olivaceus (Temminck & Schlegel, 1846)

et al. 2016

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Genetic parameters of growth traits at different growing stages of Paralichthys olivaceus (Temminck and Schlegel, 1846) were estimated using 30 families. The estimates of heritability for body weight at four developmental stages viz., 210, 450, 720 and 830 days of age, varied from 0.12 to 0.37. The heritability at 720 days of age was the lowest and that of 450 days was the highest. The maternal effect was 0.08 at 210 days, 0.03 at 450 days and almost zero (8.89 E-8 and 2.40 E-7) at 720 and 830 days. Correlation coefficients of the estimated breeding value (EBV) and phenotypic value (PV) of body weight at different developmental stages were 0.470 -0.803, which were highly significant (p<0.01). Correlation of estimated breeding value (EBV) and phenotypic value (PV) was the highest at 210 days of age and the lowest at 720 days. Genetic correlation among the four stages showed large variation (0.339-0.811), which were highly significant except that of 210 and 830 days. The value and accuracy of estimating genetic parameters for growth traits at different stages was different. Therefore, the growth stage should be taken into account when designing a breeding program for growth traits in P. olivaceus.

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Section: Heritability Estimationsupporting

confidence: 76%

Estimation of genetic parameters for growth related traits at different stages of development in Paralichthys olivaceus (Temminck & Schlegel, 1846)

et al. 2016

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“…7). of bodyweight was estimated to be 10.6% based on data from Navarro et al [33]. For , was thus 42.4 g. The distribution of was simulated in R as , where and , and is a standard normal distribution () with .…”

Section: Methodsmentioning

confidence: 99%

Derivation of economic values for production traits in aquaculture species

et al. 2017

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BackgroundIn breeding programs for aquaculture species, breeding goal traits are often weighted based on the desired gains but economic gain would be higher if economic values were used instead. The objectives of this study were: (1) to develop a bio-economic model to derive economic values for aquaculture species, (2) to apply the model to determine the economic importance and economic values of traits in a case-study on gilthead seabream, and (3) to validate the model by comparison with a profit equation for a simplified production system.MethodsA bio-economic model was developed to simulate a grow-out farm for gilthead seabream, and then used to simulate gross margin at the current levels of the traits and after one genetic standard deviation change in each trait with the other traits remaining unchanged. Economic values were derived for the traits included in the breeding goal: thermal growth coefficient (TGC), thermal feed intake coefficient (TFC), mortality rate (M), and standard deviation of harvest weight (). For a simplified production system, improvement in TGC was assumed to affect harvest weight instead of growing period. Using the bio-economic model and a profit equation, economic values were derived for harvest weight, cumulative feed intake at harvest, and overall survival.ResultsChanges in gross margin showed that the order of economic importance of the traits was: TGC, TFC, M, and . Economic values in € (kg production)−1 (trait unit)−1 were: 0.40 for TGC, −0.45 for TFC, −7.7 for M, and −0.0011 to −0.0010 for . For the simplified production system, similar economic values were obtained with the bio-economic model and the profit equation. The advantage of the profit equation is its simplicity, while that of the bio-economic model is that it can be applied to any aquaculture species, because it can include any limiting factor and/or environmental condition that affects production.ConclusionsWe confirmed the validity of the bio-economic model. TGC is the most important trait to improve, followed by TFC and M, and the effect of on gross margin is small.

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“…Comparison between the two maps showed that there is good consistency, with the majority of markers in a single linkage group (LG) also located in the same RH group (Sarropoulou et al, 2007). Moreover, there are several ongoing parentage and pilot QTL analyses aiming to identify the genetic loci involved in the determination of economically important traits (Castro et al, 2007(Castro et al, , 2008Navarro et al, 2009). Therefore, although a large set of microsatellite markers already exists for gilthead sea bream, advanced population and linkage mapping studies will greatly benefit from the addition of markers found in expressed regions of the genome.…”

Section: Introductionmentioning

confidence: 98%

In silico mining and characterization of simple sequence repeats from gilthead sea bream (Sparus aurata) expressed sequence tags (EST-SSRs); PCR amplification, polymorphism evaluation and multiplexing and cross-species assays

et al. 2011

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Estimates of heritabilities and genetic correlations for growth and carcass traits in gilthead seabream (Sparus auratus L.), under industrial conditions

Cited by 122 publications

References 34 publications

Estimation of genetic parameters for growth related traits at different stages of development in Paralichthys olivaceus (Temminck & Schlegel, 1846)

Estimation of genetic parameters for growth related traits at different stages of development in Paralichthys olivaceus (Temminck & Schlegel, 1846)

Derivation of economic values for production traits in aquaculture species

In silico mining and characterization of simple sequence repeats from gilthead sea bream (Sparus aurata) expressed sequence tags (EST-SSRs); PCR amplification, polymorphism evaluation and multiplexing and cross-species assays

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