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Advancing Conifer Tree Breeding with Marker-Assisted Selection Techniques

This research evaluates innovative methods that incorporate marker-assisted selection (MAS) in conifer tree breeding programs. Key activities include the development of economic models and genetic modeling to enhance breeding value estimation and population sampling. It highlights the significance of marker-informed breeding (MIB) in improving forest trees' adaptability, productivity, and value while addressing the cost and efficiency of breeding cycles. Insights on QTL discovery, association genetics, and the potential applicability of genomic selection in tree breeding are also discussed.

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Advancing Conifer Tree Breeding with Marker-Assisted Selection Techniques

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  1. Obj. 2: Develop and evaluate new methods incorporating marker-assisted selection in conifer tree breeding programs

  2. Objective 2 Activities • Models / Publications • Models • Economic evaluation of MIB alternative applications (Byram) • Genetic modeling of marker inclusion in BLUP breeding value estimation (Isik, Whetten) • Genetic modeling of population sampling (Howe, Yu) • Publications • Wheeler N.C., Byram T., Harry D.E., Howe G.T., Huber D.A., Isik F., McKeand S., Neale D.B., Nelson C.D., St. Clair B., Whetten R. (2010) Marker Informed Breeding (MIB) in Forest Trees: I. Breeding and Selection Applications for Recurrent Selection Programs  TGG review

  3. Abstract Tree improvement programs around the world have successfully enhanced forest adaptability, productivity, and value for a wide range of species but they are expensive, long-term propositions likely to benefit from marker informed breeding (MIB) applications. Elucidating the genetic architecture of complex traits in forest trees (QTL discovery) through linkage analysis (within families) and association genetic approaches (natural populations) has repeatedly been demonstrated, though the former is generally considered to have limited utility in large, recurrent selection programs with many pedigrees. Research has demonstrated association genetics offers promise to tree breeders assuming QTL can be validated in elite populations, explain a sufficient proportion of genetic variation, and are cost effective for genotyping large populations. Recent studies on genomic selection in livestock suggest the approach may find applications in tree breeding if costs can be controlled and predictive models explain sufficient variability. Tree breeding programs range from simple to quite complex. Genetic markers may be used in many ways throughout the tree breeding cycle (illustrated here) to improve the process, by reducing costs, improving selection efficiency and/or reducing generation time.

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