NDLI: Genome-wide prediction of three important traits in bread wheat

Content Provider	Springer Nature Link
Author	Charmet, Gilles Storlie, Eric Oury, François Xavier Laurent, Valérie Beghin, Denis Chevarin, Laetitia Lapierre, Annie Perretant, Marie Reine Rolland, Bernard Heumez, Emmanuel Duchalais, Laure Goudemand, Ellen Bordes, Jacques Robert, Olivier
Copyright Year	2014
Abstract	Five genomic prediction models were applied to three wheat agronomic traits—grain yield, heading date and grain test weight—in three breeding populations, each comprising about 350 doubled haploid or recombinant inbred lines evaluated in three locations during a 3-year period. The prediction accuracy, measured as the correlation between genomic estimated breeding value and observed trait, was in the range of previously published values for yield (r = 0.2–0.5), a trait with relatively low heritability. Accuracies for heading date and test weight, with relatively high heritabilities, were about 0.70. There was no improvement of prediction accuracy when two or three breeding populations were merged into one for a larger training set (e.g., for yield r ranged between 0.11 and 0.40 in the respective populations and between 0.18 and 0.35 in the merged populations). Cross-population prediction, when one population was used as the training population set and another population was used as the validation set, resulted in no prediction accuracy. This lack of cross-population prediction accuracy cannot be explained by a lower level of relatedness between populations, as measured by a shared SNP similarity, since it was only slightly lower between than within populations. Simulation studies confirm that cross-prediction accuracy decreases as the proportion of shared QTLs decreases, which can be expected from a higher level of QTL × environment interactions.
Starting Page	1843
Ending Page	1852
Page Count	10
File Format	PDF
ISSN	13803743
Journal	Molecular Breeding
Volume Number	34
Issue Number	4
e-ISSN	15729788
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-07-16
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Genomic selection Triticum aestivum L. Ridge regression Bayesian LASSO Random Forest regression Plant breeding Plant Sciences Plant Genetics & Genomics Plant Pathology Plant Physiology Biotechnology
Content Type	Text
Resource Type	Article
Subject	Genetics Plant Science Molecular Biology Biotechnology Agronomy and Crop Science

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