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The program for optimum contribution selection allows adding the constraint that the expected mean breeding value of the offspring does not fall below a certain value.
Meuwissen [ 3] proposed to maximize the expected mean breeding value of the offspring while constraining its gene diversity to a predefined value.
A related but not equivalent approach is to maximize the gene diversity in the offspring with or without constraining its expected mean breeding value to a predefined value.
The expected mean breeding value of a potential offspring was calculated as: mBV = MGBV s + MGBV d, where mBV is the expected breeding value of an offspring based on the parental average estimated breeding values, MGBVs is the estimated mean gamete breeding value of the sire, and MGBVd is the estimated mean gamete breeding value of the dam.
If the mean breeding value of the combination is better than the average of the breed, the result should be a reduction in the prevalence of the disease.
From this point of view, the high MGBV for protein and fat yields may not represent the mean breeding value of the German Holstein population.
Similar(53)
Genetic trends were determined by regressing yearly estimated mean breeding values on year of birth.
Differences in SDGBV between animals were detected, which means that the groups of offspring of parents with low SDGBV will be more homogeneous than those of parents with high SDGBV, although the expected mean breeding values of the progeny will be the same.
Additional shortcomings can include problems in the estimation and interpretation of changes in mean breeding values.
This includes estimating parameters, heritability and mean breeding values for each cohort.
Genetic responses per generation using the different models were calculated as the difference between mean breeding values in successive generations.
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