Selection for more than one trait

Relationships between traits
1. We find that some traits are related in a positive manner.
  Anmerkungen:
  - Animals that are good in one trait tend to be good in the other related trait.
2. Other traits are related in a negative manner.
3. We measure the degree to which traits are related with a correlation coefficient
  1. This is a phenotypic correlation.
Genetic Correlations
1. In animal breeding we are interested in how breeding values for different traits are related to one another,
2. Usually genetic correlations and phenotypic correlations are similar in sign and magnitude.
  1. This is not always the case.
3. This means when we select for one trait we also make genetic changes in another.
4. However, we often find that same genotypes will perform differently in different environments.
  1. Known as genotype by environment interaction.
  2. Before we start breeding, we need to know if one trait is going to negatively correlate another.
    1. Calculate the correlated response to selection
Indirect selection
1. In some situations it is difficult to measure the trait we wish to improve.
  1. For example - prolificacy is only expressed in females.
2. It may be useful to select on a second, correlated trait, which is easy to measure.
  1. For example, scrotal circumfrance is genetically correlated to prolificacy and can easily be measured in males.
Methods of selecting for multiple traits
1. Tandem Selection
  1. Breeder selects for one trait at a time.
  2. After selecting for one trait for a number of generations - selection is changed to another trait and so on
  3. Simple to use method.
  4. Not efficient if traits are negatively related.
2. Independent culling levels
  1. A culling level is set for each trait that is to be improved.
    1. Only animals that exceed the level for each trait are selected.
  2. However, we do not take advantage of all the good genes in the population.
    1. An animal that exceeds in one trait but not the other would be culled and so we lose the trait that she exceeded in.
3. Index Selection
  1. Most efficient method
  2. Selection upon an index score which combines the measure of performances of each trait, weighted optimally
  3. Allows animals that are extremely good in one trait to make a contribution to the breeding population
  4. I = A x (trait 1) + B x (trait 2)
    Anmerkungen:
    - I = index score A is the index weight for trait 1 B is the index weight for trait 2

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Selection for more than one trait

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	Erstellt von Sophie Mae Neash vor etwa 12 Jahre