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Animal Breeding and Genetics
Asian-Australasian Journal of Animal Sciences 1993;6(4): 497-507.
DOI: https://doi.org/10.5713/ajas.1993.497    Published online December 1, 1993.
Factors affecting age structures and genetic responses to truncation selection schemes in a population with overlapping generations
A. Ghaffar, H. Shimizu
Four truncation selection schemes (SSs) were framed to predict and compare the age structures and genetic responses under the influence of various factor employing the scheme-specific algorithms. Two paths of selection, sires (bulls` sires) and dams (bulls` dams) to breed young bulls were considered. Among variable factors, four levels (0.3, 0.5, 0.7, 0.9) of precision of evaluation, five levels (0.0, 0.05, 0.10, 0.15, 0.20 genetic standard deviation) of genetic differences among age classes and 4 levels of proportions selected (for bulls` sire, 0.05, 0.10, 0.125, 0.25, and for bulls` dams 0.02, 0.04, 0.05, and 0.10) contemplated on both paths of selection. The number of age classes for bulls` dams and bulls` sires were 4 or 8 and 2 or 4, respectively. The stayability across age classes for bulls` dams was assumed to be 0.80 or 0.60. The candidates for selection for bulls` sires were equally distributed (0.5 or 0.25) across the age classes. The SS1 (selection on same proportions as candidates` distribution) revealed longest generation lengths and lowest yearly genetic responses. The average ages were youngest and yearly genetic responses were highest in SS4 (selection at each age-specific truncation point with the same average genetic superiority of selected parents across the ages) and followed by SS3 (selection at each ages-pecific truncation point with same predicted genetic values) and SS2 (selection at common truncation point on phenotypic values) in a population with overlapping generations. The results revealed the importance of choosing suitable selection scheme to acquire maximum yearly genetic responses especially when the genetic differences among age classes are large and the precision of evaluation is relatively low.
Keywords: Truncation Selection; Age Structures; Genetic Responses
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