An experimental approach for estimating the genomic selection advantage for Fusarium head blight and Septoria tritici blotch in winter wheat

作者: Cathérine Pauline Herter , Erhard Ebmeyer , Sonja Kollers , Viktor Korzun , Thomas Miedaner

DOI: 10.1007/S00122-019-03364-7

关键词: BiologyGenetic gainBest linear unbiased predictionTraitSelection (genetic algorithm)Veterinary medicinePopulationSeptoriaSingle-nucleotide polymorphismQuantitative trait locus

摘要: The genomic selection advantage for Fusarium head blight is promising but failed Septoria tritici blotch. Selection of new breeding parents based on predictions must be treated with caution. Genomic (GS) an approach that uses whole-genome marker data to estimate values untested genotypes and holds the potential improve genetic gain in programs by shortening cycle increasing intensity. However, reported realized from limited few experiments. In this study, a training population 1120 winter wheat lines derived 14 bi-parental families was genotyped genome-wide single nucleotide polymorphism markers phenotyped (FHB) blotch (STB) severity, plant height heading date. We used weighted ridge regression best linear unbiased prediction calculate estimated (GEBVs) 2500 genotypes. Based GEBVs, we selected most resistant individuals as well random sample tested them multi-location field trial. computed moderate coefficients correlation between observed predicted trait FHB date achieved 10.62 percentage points resistance compared randomly chosen subpopulation. improvement STB only 2.14 points. Our results also indicate GEBVs Taken together, implementation GS resistance, seems promising. For traits very strong genotype × environment variance, like appears still challenging.

参考文章(90)
Cathérine Pauline Herter, Erhard Ebmeyer, Sonja Kollers, Viktor Korzun, Tobias Würschum, Thomas Miedaner, Accuracy of within- and among-family genomic prediction for Fusarium head blight and Septoria tritici blotch in winter wheat Theoretical and Applied Genetics. ,vol. 132, pp. 1121- 1135 ,(2019) , 10.1007/S00122-018-3264-6
Elliot L. Heffner, Jean‐Luc Jannink, Mark E. Sorrells, Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program The Plant Genome. ,vol. 4, pp. 65- 75 ,(2011) , 10.3835/PLANTGENOME2010.12.0029
Gota Morota, Daniel Gianola, Kernel-based whole-genome prediction of complex traits: a review Frontiers in Genetics. ,vol. 5, pp. 363- 363 ,(2014) , 10.3389/FGENE.2014.00363
Yoseph Beyene, Kassa Semagn, Stephen Mugo, Amsal Tarekegne, Raman Babu, Barbara Meisel, Pierre Sehabiague, Dan Makumbi, Cosmos Magorokosho, Sylvester Oikeh, John Gakunga, Mateo Vargas, Michael Olsen, Boddupalli M Prasanna, Marianne Banziger, Jose Crossa, None, Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress Crop Science. ,vol. 55, pp. 154- 163 ,(2015) , 10.2135/CROPSCI2014.07.0460
Daniel O. Stram, Jae Won Lee, Variance components testing in the longitudinal mixed effects model. Biometrics. ,vol. 50, pp. 1171- ,(1994) , 10.2307/2533455
H.R. Kutcher, A.M. Johnston, K.L. Bailey, S.S. Malhi, Managing crop losses from plant diseases with foliar fungicides, rotation and tillage on a Black Chernozem in Saskatchewan, Canada Field Crops Research. ,vol. 124, pp. 205- 212 ,(2011) , 10.1016/J.FCR.2011.05.018