Abstract
Genomic Selection is the improvement of breeding populations by using genome-wide markers for selection. In this breeding method, a calibration population is simultaneously phenotyped for traits of interest and genotyped with a genome-wide set of markers. Then, a quantitative genetic model for genomic prediction is trained using both the phenotypic and genotypic data. In subsequent selection cycles, individuals from a breeding population are only genotyped with the same markers, and their genomic estimated breeding values (GEBV) are calculated with the statistical model. Individuals with a high GEBV are selected for the next cycle. Genomic Selection leads to significant cost savings and to an increased selection gain per time unit as costly and time-consuming phenotypic selection does not have to be performed in every selection cycle. Both simulations and empirical studies showed a high accuracy of genomic prediction in barley breeding populations. The high level of linkage disequilibrium and the close genetic relationship present in barley breeding material allow the use of relatively small marker sets to test populations for Genomic Selection in barley breeding and suggest that this method will be highly useful for barley breeding.
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Schmid, K.J., Thorwarth, P. (2014). Genomic Selection in Barley Breeding. In: Kumlehn, J., Stein, N. (eds) Biotechnological Approaches to Barley Improvement. Biotechnology in Agriculture and Forestry, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44406-1_19
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DOI: https://doi.org/10.1007/978-3-662-44406-1_19
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