Linear Deployment
Linear deployment means that clones are deployed with a ramet number linearly related to the breeding value or rogued with a desire to get such a relationship. This optimizes the expected relation between gain and diversity (effective number of clones). I do recommend this procedure where breeding value predictions of the clones are available. It boosts the genetic value of the seed orchard crop by the magnitude 5%. The main version is LINEAR_DEPLOYMENT-2006.XLS. A sheet has been added to manage the situation that only outcrossing counts. If that version is not compatible or problematic, an old version is preserved at LINEAR_DEPLOYMENT_2004.xls. The intention is that customers should be able to use their own material, but it can be somewhat tricky to glue in own materials.
If it is assumed that clones are unrelated and non inbred the effective number of clones is equivalent to status number.
It may be of interest to look at the consequences of linear deployment for normal distributions, SELENOR3.EXE does that.
Literature:
Prescher F, Lindgren D and El-Kassaby Y 2006. "Is linear deployment of clones optimal under different clonal outcrossing contributions in seed orchards?" Tree Genetics and Genomes 2:25-29.
Lindgren D. 1998. Balansen mellan produktion och genetisk mångfald. (In Swedish) Skogsfakta, 7 1998.
Lindgren D & MullinTJ 1998. Relatedness and status number in seed orchard crops. Canadian Journal of Forest Research, 28:276-283.
Bondesson, L. and Lindgren, D. 1993. Optimal utilization of clones and genetic thinning of seed orchards. Silvae Genet. 42:157-163.
Lindgren, D. 1974. Aspects on suitable number of clones in a seed orchard. In: Population and Ecological Genetics, Breeding Theory and Progeny testing, Proc. Joint IUFRO Meeting, Stockholm, Sweden, pp.293-305.
Lindgren, D. 1989. A suggested strategy for long term breeding of lodgepole pine in Sweden. Department of Forest Genetic and Plant Physiology, Swedish University of Agricultural Sciences, Release 1.2, 95p.
Lindgren, D. 1991. Optimal utilization of genetic resources. For. Tree Improv. 23:51-67.
Lindgren, D. 1993. The population biology of clonal deployment. In: Clonal Forestry I, Genetics and Biotechnology, Ahuja, M.R. and Libby, W.J. (eds), Springer-Verlag, pp.34-49.
Lindgren, D. 1993. Quantitative comparison between truncation selection and a better procedure. Hereditas 118:289-292.
Lindgren, D. and Matheson, A.C. 1986. An algorithm for increasing the genetic quality of seed from seed orchards by using the better clones in higher proportions. Silvae Genet. 35:173-177.
Lindgren, D. and El-Kassaby Y.A. 1989. Genetic consequences by combining selective cone harvesting and genetic thinning in clonal seed orchards. Silvae Genet. 38:65-70.
Lindgren, D. and Bondesson, L. 1990. Optimal utilization: Normal approximation and the case of an upper bound of the utilization. Swedish University of Agricultural Sciences, Department of Forest Genetics and Plant Physiology, Arbetsrapport 39, 23p.
Lindgren, D., Libby, W.J. and Bondesson, F.L. 1989. Deployment to plantations of numbers and proportions of clones with special emphasis on maximizing gain at a constant diversity. Theor. Appl. Genet. 77:825-831.
Varghese, M., Ravi, N., & Lindgren D 2006. Genetic thinning in a clonal test of Eucalyptus camaldulensis for conversion to a clonal seed orchard
People may interpret the programs or even the examples in all sort of unexpected ways and when run into trouble. If I get to know how, I may take actions so it will not happen again. The programs may not work for all situations. And there may be direct mistakes or confusing instructions (it would not be the first time), but how should I know, if no-one tells me?
This webpage was last edited 2005-07-17