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The importance of genetic relationship between training and validation set is discussed in further detail in breeding scenario C. Prediction accuracy depends on the prediction problem that the breeder is attempting to address.
In this article, we imagine a breeding scenario with a population of individuals that have been genotyped but not phenotyped.
The aim of this study was to examine whether wild endocrine-disrupted fish can compete successfully in a realistic breeding scenario.
Before incorporating genomic prediction in a plant breeding program, one has to clearly define the breeding scenario in which genomic prediction will be applied.
Further markers are being developed to assess immune [ 41], behavioral and reproductive variation; key traits to monitor in a captive breeding scenario.
Figure 6 also illustrates the hypothetical evolutionary changes in tibia length and body mass in a selective breeding scenario where these genetically correlated traits were under selection in the same direction.
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Specifically, behavioral adaptation to captivity is often a result of captive breeding scenarios, with selection for more placid behavior appearing to take place [ 35, 36].
The program simulates a population of animals and traces the genetic changes in the population under different selective breeding scenarios.
This finding was in accordance with that shown previously in competitive breeding scenarios [ 23].
In addition, Bayesian models have shown little or no advantage over GBLUP models in many plant breeding scenarios (Heslot et al. 2012; Guo et al. 2012).
Other studies have also found larger male fish to be more successful in competitive breeding scenarios (Fessehaye et al. 2006; Jacob et al. 2009), and across various taxa, dominance is related to body size (Qvarnström and Forsgren 1998).
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