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Stratified sublining: a new option for structuring breeding populations

Publication: Canadian Journal of Forest Research
April 2000


When structuring a breeding population into sublines, the conventional approach is to assign parents to sublines randomly, so that each subline has approximately the same genetic value. By using deterministic infinitesimal model we study an alternative, stratified sublining system, where sublines are initially formed by positive assortative grouping of parents according to their breeding values. Stratified and random allocation to sublines are compared by evaluating the genetic quality of the seed orchards that each approach can provide. The seed orchards were established by selecting first the best individual from each subline and then a given best proportion from them. The greater among-subline variance in stratified sublining led to higher genetic gain in resulting seed orchards than did random sublining. For the case studied, stratified sublining gave considerably more genetic gain than random sublining, over 15% more, making it an interesting alternative that deserves further consideration and study.


L'approche conventionnelle de structuration d'une population d'élevage en sous-populations consiste à assigner des parents aléatoirement dans chaque sous-population, de façon à ce que chaque sous-population soit génétiquement équivalente. À l'aide d'un modèle déterministe infinitésimal, les auteurs ont étudié une approche alternative de structuration stratifiée en sous-populations, où ces dernières sont initialement constituées en regroupant les parents par assortiment positif selon leurs aptitudes à la combinaison. Les approches d'assignation stratifiée et aléatoire sont comparées en évaluant la qualité génétique des vergers à graines établis selon chaque méthode. La composition des vergers à graines fut déterminée en sélectionnant en premier lieu le meilleur individu de chaque sous-population, suivi d'une proportion donnée des meilleurs individus issus de ces sous-populations. Plus la variance entre sous-populations résultant d'une assignation stratifiée était grande, plus le gain génétique était important au sein des vergers à graines résultants, comparativement à la méthode d'assignation aléatoire. En fonction du cas étudié, la méthode d'assignation stratifiée a produit un gain génétique considérablement supérieur, plus de 15%, à celui obtenu avec la méthode d'assignation aléatoire. Il s'agit là d'une alternative intéressante qui mérite qu'on s'y attarde et qu'on l'étudie davantage.[Traduit par la Rédaction]

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cover image Canadian Journal of Forest Research
Canadian Journal of Forest Research
Volume 30Number 4April 2000
Pages: 596 - 604


Version of record online: 9 February 2011


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5. Open-nucleus breeding strategies compared with population-wide positive assortative mating

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