El-KassabyRatcliffeEl-DienEtAl2020

Reference

El-Kassaby, Y.A., Ratcliffe, B., El-Dien, O.G., Sun, S., Chen, C., CappaIlga, E.P., Porth, I. (2020) Genomic Selection in Canadian Spruces. In The Spruce Genome. (Porth I., De la Torre A., Eds.) Springer, Cham..

Abstract

The genetic gain of spruce (Picea spp.) breeding programs is impeded by long recurrent selection cycles stemming from biological constraints such as late expression of traits, weak juvenile mature correlations, and late onset of sexual maturity. Genomic selection (GS) is capable of addressing these barriers to improving the rate of genetic gain via early prediction of phenotypes using dense genetic marker arrays. Results from GS studies focused on spruce species in Canada thus far have produced encouraging results to capture additional genetic gain for wood quality, growth, and insect resistance traits either through the re-analysis of existing progeny trials with genomic information or via prediction of phenotypes for untested candidate trees. With the continual improvement of phenotyping technologies and spruce genomic resources, we expect the capability of GS to capture genetic gain to greatly exceed that of traditional pedigree-based selection methods in the future.

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@INCOLLECTION { El-KassabyRatcliffeEl-DienEtAl2020,
    AUTHOR = { El-Kassaby, Y.A. and Ratcliffe, B. and El-Dien, O.G. and Sun, S. and Chen, C. and CappaIlga, E.P. and Porth, I. },
    TITLE = { Genomic Selection in Canadian Spruces },
    BOOKTITLE = { The Spruce Genome. },
    PUBLISHER = { Springer, Cham. },
    YEAR = { 2020 },
    EDITOR = { Porth I., De la Torre A. },
    SERIES = { Compendium of Plant Genomes. },
    ABSTRACT = { The genetic gain of spruce (Picea spp.) breeding programs is impeded by long recurrent selection cycles stemming from biological constraints such as late expression of traits, weak juvenile mature correlations, and late onset of sexual maturity. Genomic selection (GS) is capable of addressing these barriers to improving the rate of genetic gain via early prediction of phenotypes using dense genetic marker arrays. Results from GS studies focused on spruce species in Canada thus far have produced encouraging results to capture additional genetic gain for wood quality, growth, and insect resistance traits either through the re-analysis of existing progeny trials with genomic information or via prediction of phenotypes for untested candidate trees. With the continual improvement of phenotyping technologies and spruce genomic resources, we expect the capability of GS to capture genetic gain to greatly exceed that of traditional pedigree-based selection methods in the future. },
    DOI = { https://doi.org/10.1007/978-3-030-21001-4_8 },
}

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