Breeding salmonids for feed efficiency in current fishmeal and future plant-based diet environments

Quinton, Cheryl; Kause, Antti; Koskela, Juha; Ritola, Ossi

doi:10.1186/1297-9686-39-4-431

Cited by 69 publications

(59 citation statements)

References 40 publications

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“…These results suggest that S. intermedius families selected for good growth performance in HE are likely to grow faster in CE, which means that when growth traits are chosen as the target trait, temperature would not affect the selection result. Our findings agree with the results of several fish studies that showed either no interaction or only a weak interaction between two different environments [29,30,31]. However, contrary results have been reported for small S. intermedius [19], in which three laboratory environments that commonly used in breeding programs for S. intermedius were assessed.…”

Section: Discussionsupporting

confidence: 91%

Family Growth and Survival Response to Two Simulated Water Temperature Environments in the Sea Urchin Strongylocentrotus intermedius

Chang

Tian

Zhang

et al. 2016

IJMS

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Heat tolerance is a target trait in the selective breeding of the sea urchin Strongylocentrotus intermedius, as it plays an important role in the survival and growth of cultured S. intermedius during summer. We investigated family growth and survival response to two temperature treatments to evaluate the genotype by temperature interaction (GEI) in the family selection of S. intermedius. Sea urchins from 11 families were exposed to two simulated water temperature environments—high temperature (HE) and control temperature (CE)—for 12 months, with each experiment divided into four periods (P1, stress-free period I; P2, stress-full high period; P3, stress-response period; and P4, stress-free period II) based on the temperature changes and the survival. Test diameter (TD), body weight (BW), and survival rate (SR) in HE and CE were measured monthly. Effects of family, temperature, and family-temperature interaction on TD, BW, SR, and specific growth rate (SGR) for BW were examined. In CE, BW differed significantly between families in P2, P3, and P4, while TD differed significantly between families in P3 and P4 (p < 0.05). In HE, family had significant effects on BW in P4, and on TD in P3 and P4, while temperature had significant effects on SR, TD, and BW in P3 and P4 (p < 0.05). GEI effects were not significant for TD or BW; however, family ranking changes revealed the existence of GEI in SR. The GEI results indicate the necessity of applying family selection in CE and HE for SR, but not for TD or BW. These results may provide a guide for aquaculture and selective breeding of S. intermedius under temperature pressure.

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Section: Discussionsupporting

confidence: 91%

Family Growth and Survival Response to Two Simulated Water Temperature Environments in the Sea Urchin Strongylocentrotus intermedius

Chang

Tian

Zhang

et al. 2016

IJMS

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“…The use of individual tanks also prevented taking into account any effect from social interactions. From 70 families of European whitefish (Coregonus lavaretus) and using the X-ray technique to record individual feed intake, Quinton et al were able to estimate genetic components of feed efficiency from fish held in a common tank [33]. The level of phenotypic variation explained by genetic variations in this study was low (0.06 ± 0.10), which does not agree with our results.…”

Section: Indirect Criteriacontrasting

confidence: 99%

“…However, because of the genetic Selection for residual feed intake in fish structure of our population (genetically identical fish and a single dam common to all individuals), this value cannot be compared with data found in the literature. Few studies have assessed genetic variability of feed efficiency in fish [15,21,23,33,36,39]. Among these only one study gives precise differences in RFI among families and individuals [35].…”

Section: Discussionmentioning

confidence: 99%

“…The weakness of this approach is the low repeatability of estimated feed intake (from 0.09 to 0.32 in rainbow trout): a minimum of three repeated records seems to be necessary in order to buffer day-to-day variation and accurately describe the intake versus gain relationship [20]. However, even with five measurements, estimates of feed efficiency heritability remain low (6 ± 10%) [33].…”

Section: Introductionmentioning

confidence: 99%

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Genetic variability in residual feed intake in rainbow trout clones and testing of indirect selection criteria (Open Access publication)

et al. 2008

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-Little is known about the genetic basis of residual feed intake (RFI) variation in fish, since this trait is highly sensitive to environmental influences, and feed intake of individuals is difficult to measure accurately. The purpose of this work was (i) to assess the genetic variability of RFI estimated by an X-ray technique and (ii) to develop predictive criteria for RFI. Two predictive criteria were tested: loss of body weight during feed deprivation and compensatory growth during re-feeding. Ten heterozygous rainbow trout clones were used. Individual intake and body weight were measured three times at threeweek intervals. Then, individual body weight was recorded after two cycles of a three-week feed deprivation followed by a three-week re-feeding. The ratio of the genetic variance to the phenotypic variance was found high to moderate for growth, feed intake, and RFI (VG/ VP = 0.63 ± 0.11, 0.29 ± 0.11, 0.29 ± 0.09, respectively). The index that integrates performances achieved during deprivation and re-feeding periods explained 59% of RFI variations. These results provide a basis for further studies on the origin of RFI differences and show that indirect criteria are good candidates for future selective breeding programs. rainbow trout / clone / residual feed intake / indirect criteria / selection

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“…For , can be approximated by (Appendix 2):where is the genetic correlation between and , which was assumed to be 0.90 [34]. Solving Eq.…”

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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Breeding salmonids for feed efficiency in current fishmeal and future plant-based diet environments

Cited by 69 publications

References 40 publications

Family Growth and Survival Response to Two Simulated Water Temperature Environments in the Sea Urchin Strongylocentrotus intermedius

Family Growth and Survival Response to Two Simulated Water Temperature Environments in the Sea Urchin Strongylocentrotus intermedius

Genetic variability in residual feed intake in rainbow trout clones and testing of indirect selection criteria (Open Access publication)

Derivation of economic values for production traits in aquaculture species

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