H. Huang et al., ESTIMATION OF LONG-TERM GENETIC-IMPROVEMENT FOR GERBERA USING THE BEST LINEAR UNBIASED PREDICTION (BLUP) PROCEDURE, Theoretical and Applied Genetics, 91(5), 1995, pp. 790-794
Long-term genetic improvement is measured by the selection response pr
edicted from estimates of narrow-sense heritability, Accurate estimate
s of selection response require partitioning the change of population
mean into genetic and environmental components. A selection experiment
for cut-flower yield was conducted for 16 generations in the Davis po
pulation of gerbera (Gerbera hybrida, Compositae). Breeding values wer
e estimated for individual plants in the population using the best lin
ear unbiased prediction (BLUP) procedure. Genetic change in each gener
ation was calculated from the breeding values of individual plants. Th
e results of this study indicate that long-term selection was successf
ul and necessary for the genetic improvement in cut-flower yield. Gene
tic improvement in mean breeding value over 16 generations was 33 flow
ers. Mean breeding values increased monotonically with an S-shape patt
ern while environmental effects fluctuated from generation to generati
on. Results predict that cut-flower yield in the Davis population of g
erbera will continue to respond to selection.