Accuracy of within‐ and among‐family genomic prediction in triticale. (27th February 2017)

• Record Type: Journal Article
• Authors: Würschum, Tobias; Maurer, Hans Peter; Weissmann, Sigrid; Hahn, Volker; Leiser, Willmar L.
• Editors: Pillen, K.
• Is Part Of: Plant breeding. Volume 136:Number 2(2017)
• Page Start: 230
• Page End: 236
• Publication Date: 2017-02-27
• Subjects: genomic selection -- genomic prediction -- multiple families -- grain yield -- biomass yield -- Fusarium -- triticale; Plant breeding -- Periodicals; 631.52
• DOI: 10.1111/pbr.12465
• Languages: English
• ISSNs: 0179-9541

Abstract

Abstract: Genomic prediction has emerged as a powerful genomic tool to assist breeding of complex traits. In this study, we employed a population of 647 triticale doubled haploid lines derived from four families to assess the potential of this approach for triticale breeding. All lines were phenotyped for grain yield, thousand‐kernel weight, biomass yield, plant height, frost tolerance and Fusarium head blight resistance. The obtained prediction accuracies were moderate to high and consisted to varying degrees of within‐ and among‐family variance, in line with the different degrees of phenotypic differences between family means. The prediction accuracy within individual families also varied with the genetic complexity of the traits and was generally highest based on effect estimation with lines from the respective family, whereas the prediction accuracy decreased with decreasing relatedness among the families. Taken together, our results illustrate the potential of genomic prediction to increase selection gain in triticale breeding, but the composition of the training set is of utmost importance, and consequently, the implementation of this approach in applied breeding programmes is not straightforward.