Abstract
Estimating genetic change for selection programs designed to improve performance of fish populations requires the application of statistical and biological approaches specific to the conditions used to maintain the populations. The unique set of limitations is determined by such factors as number of individuals reared, availability of control populations, variability of environmental conditions, rearing strategy, and completeness of data collection. All approaches available to the fish breeder are designed to remove to the extent possible, both fixed and random environmental effects from estimates of change. Some methods also attempt to account for genetic trends due to previous selection. Generally, influences attributable to genetic drift and inbreeding are confounded with effects of selection. Four approaches to estimating genetic change have been developed for use in animal breeding. The most common is the use of control populations to estimate environmental change and possibly account for some inbreeding effects related to population size. The second is to use divergent selection as a means of internally correcting for environmental changes and adjusting for asymmetry of response to selection. Contemporary comparisons is a common method with species for which gametes can be stored. The method is based on producing progeny from parents of early and late generation progeny in a single season to provide a direct comparison of performance of individuals from two or more generations. The most recently developed approach involves the use of animal models, based on best linear unbiased prediction procedures, to estimate directly the average breeding values for sequential generations. Information for all individuals in a pedigreed population is utilized to provide simultaneous adjustments for environmental effects and genetic trends.
| Original language | English |
|---|---|
| Pages (from-to) | 75-88 |
| Number of pages | 14 |
| Journal | Aquaculture |
| Volume | 111 |
| Issue number | 1-4 |
| DOIs | |
| Publication status | Published - 1 Apr 1993 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Aquatic Science
Cite this
Estimating genetic change from selection. / Gall, G. A E; Bakar, Yosni; Famula, T.
In: Aquaculture, Vol. 111, No. 1-4, 01.04.1993, p. 75-88.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Estimating genetic change from selection
AU - Gall, G. A E
AU - Bakar, Yosni
AU - Famula, T.
PY - 1993/4/1
Y1 - 1993/4/1
N2 - Estimating genetic change for selection programs designed to improve performance of fish populations requires the application of statistical and biological approaches specific to the conditions used to maintain the populations. The unique set of limitations is determined by such factors as number of individuals reared, availability of control populations, variability of environmental conditions, rearing strategy, and completeness of data collection. All approaches available to the fish breeder are designed to remove to the extent possible, both fixed and random environmental effects from estimates of change. Some methods also attempt to account for genetic trends due to previous selection. Generally, influences attributable to genetic drift and inbreeding are confounded with effects of selection. Four approaches to estimating genetic change have been developed for use in animal breeding. The most common is the use of control populations to estimate environmental change and possibly account for some inbreeding effects related to population size. The second is to use divergent selection as a means of internally correcting for environmental changes and adjusting for asymmetry of response to selection. Contemporary comparisons is a common method with species for which gametes can be stored. The method is based on producing progeny from parents of early and late generation progeny in a single season to provide a direct comparison of performance of individuals from two or more generations. The most recently developed approach involves the use of animal models, based on best linear unbiased prediction procedures, to estimate directly the average breeding values for sequential generations. Information for all individuals in a pedigreed population is utilized to provide simultaneous adjustments for environmental effects and genetic trends.
AB - Estimating genetic change for selection programs designed to improve performance of fish populations requires the application of statistical and biological approaches specific to the conditions used to maintain the populations. The unique set of limitations is determined by such factors as number of individuals reared, availability of control populations, variability of environmental conditions, rearing strategy, and completeness of data collection. All approaches available to the fish breeder are designed to remove to the extent possible, both fixed and random environmental effects from estimates of change. Some methods also attempt to account for genetic trends due to previous selection. Generally, influences attributable to genetic drift and inbreeding are confounded with effects of selection. Four approaches to estimating genetic change have been developed for use in animal breeding. The most common is the use of control populations to estimate environmental change and possibly account for some inbreeding effects related to population size. The second is to use divergent selection as a means of internally correcting for environmental changes and adjusting for asymmetry of response to selection. Contemporary comparisons is a common method with species for which gametes can be stored. The method is based on producing progeny from parents of early and late generation progeny in a single season to provide a direct comparison of performance of individuals from two or more generations. The most recently developed approach involves the use of animal models, based on best linear unbiased prediction procedures, to estimate directly the average breeding values for sequential generations. Information for all individuals in a pedigreed population is utilized to provide simultaneous adjustments for environmental effects and genetic trends.
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U2 - 10.1016/0044-8486(93)90026-U
DO - 10.1016/0044-8486(93)90026-U
M3 - Article
VL - 111
SP - 75
EP - 88
JO - Aquaculture
JF - Aquaculture
SN - 0044-8486
IS - 1-4
ER -