Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/109136
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Type: | Journal article |
Title: | Increased genomic prediction accuracy in wheat breeding using a large Australian panel |
Author: | Taylor, J.D. Norman, A. Tanaka, E. Telfer, P. Edwards, J. Martinant, J.P. Kuchel, H. |
Citation: | Theoretical and Applied Genetics: international journal of plant breeding research, 2017; 130(12):2543-2555 |
Publisher: | Springer Verlag |
Issue Date: | 2017 |
ISSN: | 0040-5752 1432-2242 |
Statement of Responsibility: | Adam Norman, Julian Taylor, Emi Tanaka, Paul Telfer, James Edwards, Jean‑Pierre Martinant, Haydn Kuchel |
Abstract: | In recent years, genomic selection for wheat breeding has been widely studied, but this has typically been restricted to population sizes under 1000 individuals. To assess its efficacy in germplasm representative of commercial breeding programmes, we used a panel of 10,375 Australian wheat breeding lines to investigate the accuracy of genomic prediction for grain yield, physical grain quality and other physiological traits. To achieve this, the complete panel was phenotyped in a dedicated field trial and genotyped using a custom AxiomTM Affymetrix SNP array. A high-quality consensus map was also constructed, allowing the linkage disequilibrium present in the germplasm to be investigated. Using the complete SNP array, genomic prediction accuracies were found to be substantially higher than those previously observed in smaller populations and also more accurate compared to prediction approaches using a finite number of selected quantitative trait loci. Multi-trait genetic correlations were also assessed at an additive and residual genetic level, identifying a negative genetic correlation between grain yield and protein as well as a positive genetic correlation between grain size and test weight. |
Keywords: | Triticum Linear Models Chromosome Mapping Genomics Genotype Linkage Disequilibrium Phenotype Polymorphism, Single Nucleotide Quantitative Trait Loci Models, Genetic Australia Plant Breeding |
Rights: | © The Author(s) 2017. This article is an open access publication. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons. org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
DOI: | 10.1007/s00122-017-2975-4 |
Grant ID: | ARC |
Published version: | https://link.springer.com/article/10.1007/s00122-017-2975-4 |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest 8 |
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hdl_109136.pdf | Published version | 1.62 MB | Adobe PDF | View/Open |
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