@article{lindgren_strategies_2017,
	title = {Strategies for {Optimal} {Deployment} of {Related} {Clones} into {Seed} {Orchards}},
	volume = {57},
	url = {https://www.sciendo.com/article/10.1515/sg-2008-0018},
	doi = {10/gkhnqv},
	abstract = {This study deals with how the deployed proportion of each candidate clone can be decided at the establishment of a seed orchard when the breeding values are available for each candidate in a population of unrelated half-sib families. The following deployment strategies were compared: (a) truncation selection by selecting the clones with the breeding values exceeding certain threshold and deploying equal number of ramets (Truncation strategy); (b) truncation selection by selecting only one best individual within each family (Truncation unrelated); (c) maximizing gain at a given effective clone number (Linear deployment); (d) linear deployment by selecting one best individual within each family (Linear deployment unrelated) and (e) maximizing net gain at a given gene diversity (Optimal proportions). The study focused on the latest alternative and described its superiority and characteristics for a number of possible typical cases. The genetic gain adjusted for predicted inbreeding depression (Net gain), gene diversity and effective clone number were considered as the main ranking criteria. The strategies optimizing the number of related individuals and the linear deployment strategy with restriction on relatedness returned the highest Net gain. If there is a large diversity to select from (the status number of the candidates is more},
	language = {en},
	number = {1-6},
	urldate = {2021-06-10},
	journal = {Silvae Genetica},
	author = {Lindgren, D.},
	month = oct,
	year = {2017},
	pages = {119--127},
}

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