Literature DB >> 16543557

Feed efficiency of rainbow trout can be improved through selection: different genetic potential on alternative diets.

A Kause1, D Tobin, D F Houlihan, S A M Martin, E A Mäntysaari, O Ritola, K Ruohonen.   

Abstract

To assess the genetic potential for selection of increased feed efficiency in rainbow trout (Oncorhynchus mykiss), we estimated the heritabilities and correlations for BW, daily weight gain (DG), and daily feed intake (DFI). Body weight was recorded 5 times, and DG and DFI 3 times during a feeding trial lasting 22 mo. To test the hypothesis that phenotypic and genetic parameters were influenced by a nutritional environment, fish were fed either a modern normal protein diet (NP, 40 to 45% protein and 30 to 33% lipid) or an alternative high protein diet (HP, 50 to 56% protein, 20 to 24% lipid) in a split-family design. Results showed that there were no large differences in heritabilities between the diets. Average heritability for DFI over both diets and different fish ages was low (average h2 = 0.10), indicating that modest genetic changes in response to selection can be obtained. Average heritabilities for BW and DG over both diets and different fish ages were 0.28 and 0.33, respectively. The NP diet enabled fish to express a wide range of BW, as shown by the increased coefficients of phenotypic variation for BW. Fish fed the HP diet showed increased phenotypic variation for DFI in > 750-g fish. On the NP diet, genetic correlations of DFI with DG and BW were very strong for 750- to 2,000-g fish. In contrast, on the HP diet, the respective correlations were moderate to low, revealing more genetic potential to change growth and feed intake simultaneously in opposite directions. An analysis of the predicted selection responses showed that selection solely for high DG improved feed efficiency as a correlated genetic response. Simultaneous selection for high DG and reduced DFI, in turn, may increase genetic gain in feed efficiency by a factor of 1.2 compared with selection solely for DG. However, variation for growth and feed intake and the relationships between these traits were different in different nutritional environments, leading to divergent genetic responses on the alternative diets.

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Year:  2006        PMID: 16543557     DOI: 10.2527/2006.844807x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  9 in total

1.  Untangling the positive genetic correlation between rainbow trout growth and survival.

Authors:  Harri Vehviläinen; Antti Kause; Hanna Kuukka-Anttila; Heikki Koskinen; Tuija Paananen
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2.  The response of correlated traits following cessation of fishery-induced selection.

Authors:  Santiago Salinas; Kestrel O Perez; Tara A Duffy; Stephen J Sabatino; Lyndie A Hice; Stephan B Munch; David O Conover
Journal:  Evol Appl       Date:  2012-11       Impact factor: 5.183

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Authors:  M Besson; I J M de Boer; M Vandeputte; J A M van Arendonk; E Quillet; H Komen; J Aubin
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4.  Phenotyping for Genetic Improvement of Feed Efficiency in Fish: Lessons From Pig Breeding.

Authors:  Pieter W Knap; Antti Kause
Journal:  Front Genet       Date:  2018-05-24       Impact factor: 4.599

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8.  Labelling fish diets with 15 N -Leucine for monitoring feed consumption and bio-distribution in Atlantic salmon.

Authors:  Mirta Cortés-Quezada; Ana María Parada; Ximena Videla; Juan Antonio Valdés; Sebastián Gonzalez-Catrilelbún; Alexis Aspée; Adriana Nario; Andrea Rivas-Aravena
Journal:  Vet Med Sci       Date:  2022-03-29

9.  Cost-benefit analysis of aquaculture breeding programs.

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Journal:  Genet Sel Evol       Date:  2018-01-29       Impact factor: 4.297

  9 in total

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