Advantages and Limitations of Multiple-trait Genomic Prediction for Fusarium Head Blight Severity in Hybrid Wheat (Triticum Aestivum L.)

Overview

Journal Theor Appl Genet

Publisher Springer

Specialty Genetics

Date 2017 Dec 4

PMID 29198016

Citations 30

Authors

Albert W Schulthess

Yusheng Zhao

C Friedrich H Longin

Jochen C Reif

Affiliations

Soon will be listed here.

Abstract

Predictabilities for wheat hybrids less related to the estimation set were improved by shifting from single- to multiple-trait genomic prediction of Fusarium head blight severity. Breeding for improved Fusarium head blight resistance (FHBr) of wheat is a very laborious and expensive task. FHBr complexity is mainly due to its highly polygenic nature and because FHB severity (FHBs) is greatly influenced by the environment. Associated traits plant height and heading date may provide additional information related to FHBr, but this is ignored in single-trait genomic prediction (STGP). The aim of our study was to explore the benefits in predictabilities of multiple-trait genomic prediction (MTGP) over STGP of target trait FHBs in a population of 1604 wheat hybrids using information on 17,372 single nucleotide polymorphism markers along with indicator traits plant height and heading date. The additive inheritance of FHBs allowed accurate hybrid performance predictions using information on general combining abilities or average performance of both parents without the need of markers. Information on molecular markers and indicator trait(s) improved FHBs predictabilities for hybrids less related to the estimation set. Indicator traits must be observed on the predicted individuals to benefit from MTGP. Magnitudes of genetic and phenotypic correlations along with improvements in predictabilities made plant height a better indicator trait for FHBs than heading date. Thus, MTGP having only plant height as indicator trait already maximized FHBs predictabilities. Provided a good indicator trait was available, MTGP could reduce the impacts of genotype environment [Formula: see text] interaction on STGP for hybrids less related to the estimation set.

Citing Articles

Leveraging trait and QTL covariates to improve genomic prediction of resistance to Fusarium head blight in Central European winter wheat.

Morales L, Akdemir D, Girard A, Neumayer A, Nannuru V, Shahinnia F Front Plant Sci. 2024; 15:1454473.

PMID: 39430891 PMC: 11486744. DOI: 10.3389/fpls.2024.1454473.

The complex relationship between disease resistance and yield in crops.

Derbyshire M, Newman T, Thomas W, Batley J, Edwards D Plant Biotechnol J. 2024; 22(9):2612-2623.

PMID: 38743906 PMC: 11331782. DOI: 10.1111/pbi.14373.

Genomic prediction for agronomic traits in a diverse Flax (Linum usitatissimum L.) germplasm collection.

Hoque A, Anderson J, Rahman M Sci Rep. 2024; 14(1):3196.

PMID: 38326469 PMC: 10850546. DOI: 10.1038/s41598-024-53462-w.

Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments.

Ortiz R, Reslow F, Montesinos-Lopez A, Huicho J, Perez-Rodriguez P, Montesinos-Lopez O Sci Rep. 2023; 13(1):9947.

PMID: 37336933 PMC: 10279678. DOI: 10.1038/s41598-023-37169-y.

Accuracy of Selection in Early Generations of Field Pea Breeding Increases by Exploiting the Information Contained in Correlated Traits.

Castro-Urrea F, Urricariet M, Stefanova K, Li L, Moss W, Guzzomi A Plants (Basel). 2023; 12(5).

PMID: 36903999 PMC: 10005560. DOI: 10.3390/plants12051141.

References

Bao Y, Kurle J, Anderson G, Young N . Association mapping and genomic prediction for resistance to sudden death syndrome in early maturing soybean germplasm. Mol Breed. 2015; 35(6):128. PMC: 4434860. DOI: 10.1007/s11032-015-0324-3. View

Schmolke M, Zimmermann G, Buerstmayr H, Schweizer G, Miedaner T, Korzun V . Molecular mapping of Fusarium head blight resistance in the winter wheat population Dream/Lynx. Theor Appl Genet. 2005; 111(4):747-56. DOI: 10.1007/s00122-005-2060-2. View

Zhao Y, Gowda M, Wurschum T, Longin C, Korzun V, Kollers S . Dissecting the genetic architecture of frost tolerance in Central European winter wheat. J Exp Bot. 2013; 64(14):4453-60. PMC: 3808325. DOI: 10.1093/jxb/ert259. View

Ceron-Rojas J, Crossa J, Arief V, Basford K, Rutkoski J, Jarquin D . A Genomic Selection Index Applied to Simulated and Real Data. G3 (Bethesda). 2015; 5(10):2155-64. PMC: 4592997. DOI: 10.1534/g3.115.019869. View

Hayashi T, Iwata H . A Bayesian method and its variational approximation for prediction of genomic breeding values in multiple traits. BMC Bioinformatics. 2013; 14:34. PMC: 3574034. DOI: 10.1186/1471-2105-14-34. View

Pszczola M, Strabel T, van Arendonk J, Calus M . The impact of genotyping different groups of animals on accuracy when moving from traditional to genomic selection. J Dairy Sci. 2012; 95(9):5412-5421. DOI: 10.3168/jds.2012-5550. View

Windhausen V, Atlin G, Hickey J, Crossa J, Jannink J, Sorrells M . Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments. G3 (Bethesda). 2012; 2(11):1427-36. PMC: 3484673. DOI: 10.1534/g3.112.003699. View

Gowda M, Zhao Y, Wurschum T, Longin C, Miedaner T, Ebmeyer E . Relatedness severely impacts accuracy of marker-assisted selection for disease resistance in hybrid wheat. Heredity (Edinb). 2013; 112(5):552-61. PMC: 3998782. DOI: 10.1038/hdy.2013.139. View

VanRaden P . Efficient methods to compute genomic predictions. J Dairy Sci. 2008; 91(11):4414-23. DOI: 10.3168/jds.2007-0980. View

10.

GERVAIS L, Dedryver F, Morlais J, Bodusseau V, Negre S, Bilous M . Mapping of quantitative trait loci for field resistance to Fusarium head blight in an European winter wheat. Theor Appl Genet. 2003; 106(6):961-70. DOI: 10.1007/s00122-002-1160-5. View

11.

Chen Y, Lubberstedt T . Molecular basis of trait correlations. Trends Plant Sci. 2010; 15(8):454-61. DOI: 10.1016/j.tplants.2010.05.004. View

12.

Paaby A, Rockman M . The many faces of pleiotropy. Trends Genet. 2012; 29(2):66-73. PMC: 3558540. DOI: 10.1016/j.tig.2012.10.010. View

13.

Draeger R, Gosman N, Steed A, Chandler E, Thomsett M, Srinivasachary . Identification of QTLs for resistance to Fusarium head blight, DON accumulation and associated traits in the winter wheat variety Arina. Theor Appl Genet. 2007; 115(5):617-25. DOI: 10.1007/s00122-007-0592-3. View

14.

Varona L, Gomez-Raya L, Rauw W, Clop A, Ovilo C, Noguera J . Derivation of a Bayes factor to distinguish between linked or pleiotropic quantitative trait loci. Genetics. 2004; 166(2):1025-35. PMC: 1470753. DOI: 10.1534/genetics.166.2.1025. View

15.

Jiang J, Zhang Q, Ma L, Li J, Wang Z, Liu J . Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model. Heredity (Edinb). 2015; 115(1):29-36. PMC: 4815501. DOI: 10.1038/hdy.2015.9. View

16.

Dos Santos J, Coelho de Castro Vasconcellos R, Pires L, Balestre M, Von Pinho R . Inclusion of Dominance Effects in the Multivariate GBLUP Model. PLoS One. 2016; 11(4):e0152045. PMC: 4830534. DOI: 10.1371/journal.pone.0152045. View

17.

Kollers S, Rodemann B, Ling J, Korzun V, Ebmeyer E, Argillier O . Whole genome association mapping of Fusarium head blight resistance in European winter wheat (Triticum aestivum L.). PLoS One. 2013; 8(2):e57500. PMC: 3579808. DOI: 10.1371/journal.pone.0057500. View

18.

Liu T, Qu H, Luo C, Li X, Shu D, Lund M . Genomic selection for the improvement of antibody response to Newcastle disease and avian influenza virus in chickens. PLoS One. 2014; 9(11):e112685. PMC: 4234505. DOI: 10.1371/journal.pone.0112685. View

19.

Dekkers J . Prediction of response to marker-assisted and genomic selection using selection index theory. J Anim Breed Genet. 2007; 124(6):331-41. DOI: 10.1111/j.1439-0388.2007.00701.x. View

20.

Busemeyer L, Mentrup D, Moller K, Wunder E, Alheit K, Hahn V . BreedVision--a multi-sensor platform for non-destructive field-based phenotyping in plant breeding. Sensors (Basel). 2013; 13(3):2830-47. PMC: 3658717. DOI: 10.3390/s130302830. View