The use of alternative breeding schemes to enhance genetic improvement in rainbow trout (Oncorhynchus mykiss): I. One-stage selection

Martı́nez, Vı́ctor; Kause, Antti; Mäntysaari, Esa; Mäki‐Tanila, Asko

doi:10.1016/j.aquaculture.2005.11.016

Cited by 23 publications

(22 citation statements)

References 22 publications

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“…To decide whether sib testing across several environments is needed, alternative breeding programmes should be simulated and their costs and benefits can be estimated (Martinez et al . ; Sae‐Lim ).…”

Section: Implications For Breedingmentioning

confidence: 99%

“…This general structure is based upon the optimisation of the breeding programme for the observed GxE in growth (Martinez et al . ), but different traits are recorded in trait‐specific ways at the nucleus and at the sea (Table ). For instance, the genetic correlation between growth in the nucleus and the brackish water production environment is 0.61 (Kause et al .…”

Section: Implications For Breedingmentioning

confidence: 99%

“…If the aim was to genetically improve animal performance simultaneously in different environments, re‐ranking reduces the efficiency of selection of a breeding programme (Falconer ; Mulder & Bijma ; Martinez et al . ; Ponzoni et al . ; Sae‐Lim et al .…”

Section: Introductionmentioning

confidence: 99%

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A review of genotype‐by‐environment interaction and micro‐environmental sensitivity in aquaculture species

Sae-Lim

Gjerde

Nielsen

et al. 2015

Reviews in Aquaculture

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Generating breeding programmes that effectively improve farmed fish performance across multiple environments and make fish more uniform within production environments would aid farmers to produce food under diverse environments. We review genotype-by-environment interaction leading to re-ranking of genotypes across environments, that is non-unity genetic correlation between traits measured in different environments, and micro-environmental sensitivity leading to a change in environmental variance of a trait. A quantitative review across 38 species showed that (i) genotype-by-environment interaction studies are lacking for many economically important traits. (ii) Re-ranking is moderate for growth (average genetic correlation = 0.72) and survival (average genetic correlation = 0.54). Significant re-ranking is of concern because selection in a nucleus leads to lower genetic responses in commercial environments compared to a case when re-ranking does not exist. (iii) Re-ranking is weak for age-at-sexual-maturity and fish appearance (average genetic correlation = 0.86), implying that genetic improvement in one environment is expected to be effective in the other environments. Future research should provide guidelines for how to account for genotype-by-environment interaction when collecting data, estimating breeding values and optimising the structure of the breeding programme. (iv) Coefficient of genetic variation for sensitivity against unknown micro-environmental factors within a single environment for body weight is high. Hence, genetic improvement towards less sensitive fish, resulting in more uniform production, is possible, but a large number of relatives with phenotypes is needed for obtaining moderate accuracy of selection. This review elucidates needs for further research on genotype-by-environment interaction and micro-environmental sensitivity in economically important traits and species.

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Section: Implications For Breedingmentioning

confidence: 99%

Section: Implications For Breedingmentioning

confidence: 99%

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A review of genotype‐by‐environment interaction and micro‐environmental sensitivity in aquaculture species

Sae-Lim

Gjerde

Nielsen

et al. 2015

Reviews in Aquaculture

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“…Factorial mating increases the size of half-sib groups and reduces the size of full-sib families, which results in a lower probability of selecting several members from the same full-sib group, and consequently the genetic variation among the selected individuals (and their offspring) will be greater. The benefits in terms of rate of inbreeding might be great because the contributions of the selected parents become less connected, which decreases the variability in the long-term contributions, which decreases DF (Woolliams, 1989;Martínez et al, 2006).…”

Section: Hierarchical V Factorial Matingmentioning

confidence: 99%

Management of genetic diversity in small farm animal populations

Fernández

Meuwissen

Toro

et al. 2011

Animal

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Many local breeds of farm animals have small populations and, consequently, are highly endangered. The correct genetic management of such populations is crucial for their survival. Managing an animal population involves two steps: first, the individuals who will be permitted to leave descendants are to be chosen and the number offspring they will be permitted to produce has to be determined; second, the mating scheme has to be identified. Strategies dealing with the first step are directed towards the maximisation of effective population size and, therefore, act jointly on the reduction in the loss of genetic variation and in the increase of inbreeding. In this paper, the most relevant methods are summarised, including the so-called 'Optimum Contribution' methodology (contributions are proportional to the coancestry of each individual with the rest), which has been shown to be the best. Typically, this method is applied to pedigree information, but molecular marker data can be used to complete or replace the genealogy. When the population is subjected to explicit selection on any trait, the above methodology can be used by balancing the response to selection and the increase in coancestry/inbreeding. Different mating strategies also exist. Some of the mating schemes try to reduce the level of inbreeding in the short term by preventing mating between relatives. Others involve regular (circular) schemes that imply higher levels of inbreeding within populations in the short term, but demonstrate better performance in the long term. In addition, other tools such as cryopreservation and reproductive techniques aid in the management of small populations. In the future, genomic marker panels may replace the pedigree information in measuring the coancestry. The paper also includes the results of several experiments and field studies on the effectiveness and on the consequences of the use of the different strategies.

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“…It is likely that the selection bias will be more pronounced with highly unbalanced data structures across families which are typical of real field performance tests. Further, the use of partial factorial 2:2 mating design in the present study presumably improved the ability to disentangle genetic and permanent environment effects from each other, compared to a situation when a full-sib (single-pair) or half-sib design would be used (Berg and Henryon, 1998;Martinez et al, 2006a).…”

Section: Accounting For Selection Biasmentioning

confidence: 99%

Correcting within-family pre-selection in genetic evaluation of growth—A simulation study on rainbow trout

et al. 2014

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The use of alternative breeding schemes to enhance genetic improvement in rainbow trout (Oncorhynchus mykiss): I. One-stage selection

Cited by 23 publications

References 22 publications

A review of genotype‐by‐environment interaction and micro‐environmental sensitivity in aquaculture species

A review of genotype‐by‐environment interaction and micro‐environmental sensitivity in aquaculture species

Management of genetic diversity in small farm animal populations

Correcting within-family pre-selection in genetic evaluation of growth—A simulation study on rainbow trout

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