2000
DOI: 10.1080/10295925.2000.9631274
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Program for the deterministic modelling of genetic gains of tree breeding and seed and clone production strategies

Abstract: SYNOPSISA deterministic modelling algorithm was developed for the prediction of genetic gains of six breeding and 11 (seed and clone) production strategies. This algorithm can run iteratively over ranges of parameters which affect the genetic gains. These parameters are the selection intensities, number of families, family sizes, number oframets per clone, duration of the strategy and heritability ranges. The genetic gains per year over these ranges are presented graphically by the algorithm. In assessing the … Show more

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Cited by 3 publications
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“…Gains in dbh were predicted for the progeny of each trial as if selection was applied by roguing the poorest 30% of the families from each trial, then leaving the best tree per plot of the remaining 70% families standing, followed by bulking of seed from the top 15 to 36 families in each trial. This was done using the formula (Verryn et al 2000):…”
Section: Predicted Genetic Gainmentioning
confidence: 99%
“…Gains in dbh were predicted for the progeny of each trial as if selection was applied by roguing the poorest 30% of the families from each trial, then leaving the best tree per plot of the remaining 70% families standing, followed by bulking of seed from the top 15 to 36 families in each trial. This was done using the formula (Verryn et al 2000):…”
Section: Predicted Genetic Gainmentioning
confidence: 99%