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Theoretical and Applied Genetics

, Volume 132, Issue 4, pp 1121–1135 | Cite as

Accuracy of within- and among-family genomic prediction for Fusarium head blight and Septoria tritici blotch in winter wheat

  • Cathérine Pauline Herter
  • Erhard Ebmeyer
  • Sonja Kollers
  • Viktor Korzun
  • Tobias Würschum
  • Thomas MiedanerEmail author
Original Article

Abstract

Genomic selection is an approach that uses whole-genome marker data to predict breeding values of genotypes and holds the potential to improve the genetic gain in breeding programs. In this study, two winter wheat populations (DS1 and DS2) consisting of 438 and 585 lines derived from six and eight bi-parental families, respectively, were genotyped with genome-wide single nucleotide polymorphism markers and phenotyped for Fusarium head blight and Septoria tritici blotch severity, plant height and heading date. We used ridge regression-best linear unbiased prediction to investigate the potential of genomic selection under different selection scenarios: prediction across each winter wheat population, within- and among-family prediction in each population, and prediction from DS1 to DS2 and vice versa. Moreover, we compared a full random model to a model incorporating quantitative trait loci (QTL) as fixed effects. The prediction accuracies obtained by cross-validation within populations were moderate to high for all traits. Accuracies for individual families were in general lower and varied with population size and genetic architecture of the trait. In the among-family prediction scenario, highest accuracies were achieved by predicting from one half-sib family to another, while accuracies were lowest between unrelated families. Our results further demonstrate that the prediction accuracy can be considerably increased by a fixed effect model approach when major QTL are present. Taken together, the implementation of genomic selection for Fusarium head blight and Septoria tritici blotch resistance seems to be promising, but the composition of the training population is of utmost importance.

Notes

Acknowledgements

We highly appreciate the excellent technical support of the teams at KWS LOCHOW and University of Hohenheim. This research was funded by the German Federal Ministry of Education and Research (BMBF, Grant No. 031B0011A+E) in the framework of Bioeconomy International (FusResist). The responsibility of the content of this publication rests with the authors.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.

Ethical standards

The experiments comply with the current laws of Germany in which they were performed.

Supplementary material

122_2018_3264_MOESM1_ESM.pdf (1 mb)
Supplementary material 1 (PDF 1069 kb)

References

  1. Adhikari TB, Yang X, Cavaletto JR et al (2004) Molecular mapping of Stb1, a potentially durable gene for resistance to Septoria tritici blotch in wheat. Theor Appl Genet 109:944–953Google Scholar
  2. Agostinelli AM, Clark AJ, Brown-Guedira G, Van Sanford DA (2012) Optimizing phenotypic and genotypic selection for Fusarium head blight resistance in wheat. Euphytica 186:115–126Google Scholar
  3. Ahmed T, Tsujimoto H, Sasakuma T (2000) Identification of RFLP markers linked with heading date and its heterosis in hexaploid wheat. Euphytica 116:111–119Google Scholar
  4. Anderson JA, Chao SM, Liu SX (2007) Molecular breeding using a major QTL for Fusarium head blight resistance in wheat. Crop Sci 47:112–119Google Scholar
  5. Arruda M, Brown P, Lipka A, Krill A, Thurber C, Kolb F (2015) Genomic selection for predicting Fusarium head blight resistance in a wheat breeding program. Plant Genome.  https://doi.org/10.3835/plantgenome2015.01.0003 Google Scholar
  6. Arruda M, Lipka A, Brown P, Krill A, Thurber C, Brown-Guedira G et al (2016) Comparing genomic selection and marker-assisted selection for Fusarium head blight resistance in wheat (Triticum aestivum). Mol Breed 36:1–11Google Scholar
  7. Aulchenko Y, Ripke S, Isaacs A, van Duijn C (2007) GenABEL: an R package for genome-wide association analysis. Bioinformatics 23:1294–1296Google Scholar
  8. Baltazar B, Scharen A, Kronstad W (1990) Association between dwarfing genes ‘Rht 1’ and ‘Rht 2’and resistance to Septoria tritici Blotch in winter wheat (Triticum aestivum L. em Thell). Theor Appl Genet 79:422–426Google Scholar
  9. Balut AL, Clark AJ, Brown-Guedira G, Souza E, Van Sanford DA (2013) Validation of Fhb1 and QFhs.nau-2DL in several soft red winter wheat populations. Crop Sci 53:934–945Google Scholar
  10. Bassi FM, Bentley AR, Charmet G, Ortiz R, Crossa J (2016) Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.). Plant Sci 242:23–36Google Scholar
  11. Bernardo R (2003) Parental selection, number of breeding populations, and size of each population in inbred development. Theor Appl Genet 107:1252–1256Google Scholar
  12. Bernardo R (2014) Genomewide selection when major genes are known. Crop Sci 54:68–75Google Scholar
  13. Buerstmayr H, Steiner B, Lemmens M, Ruckenbauer P (2000) Resistance to Fusarium head blight in winter wheat: heritability and trait associations. Crop Sci 40:1012–1018Google Scholar
  14. Buerstmayr H, Lemmens M, Hartl L, Doldi L, Steiner B, Stierschneider M, Ruckenbauer P (2002) Molecular mapping of QTLs for Fusarium head blight resistance in spring wheat. I. Resistance to fungal spread (type II resistance). Theor Appl Genet 104:84–91Google Scholar
  15. Buerstmayr H, Steiner B, Hartl L et al (2003) Molecular mapping of QTLs for Fusarium head blight resistance in spring wheat. II. Resistance to fungal penetration and spread. Theor Appl Genet 107:503–508Google Scholar
  16. Buerstmayr H, Ban T, Anderson J (2009) QTL mapping and marker-assisted selection for Fusarium head blight resistance in wheat: a review. Plant breed 128:1–26Google Scholar
  17. Burgueño J, de los Campos G, Weigel K, Crossa J (2012) Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers. Crop Sci 52:707–719Google Scholar
  18. Chartrain L, Joaquim P, Berry ST, Arraiano LS, Azanza F, Brown JKM (2005) Genetics of resistance to Septoria tritici blotch in the Portuguese wheat breeding line TE 9111. Theor Appl Genet 110:1138–1144Google Scholar
  19. Chen J, Griffey CA, Maroof MAS, Stromberg EL, Biyashev RM, Zhao W, Chappell MR, Pridgen TH, Dong Y, Zeng Z (2006) Validation of two major quantitative trait loci for Fusarium head blight resistance in Chinese wheat line W14. Plant Breed 125:99–101Google Scholar
  20. Cools HJ, Fraaije BA (2008) Are azole fungicides losing ground against Septoria wheat disease? Resistance mechanisms in Mycosphaerella graminicola. Pest Manag Sci 64:681–684Google Scholar
  21. Crossa J, de Los Campos G, Pérez P et al (2010) Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers. Genetics 186:713–724Google Scholar
  22. Daetwyler H, Pong-Wong R, Villanueva B, Woolliams JA (2010) The impact of genetic architecture on genome-wide evaluation methods. Genetics 185:1021–1031Google Scholar
  23. De Roos A, Hayes B, Goddard M (2009) Reliability of genomic predictions across multiple populations. Genetics 183:1545–1553Google Scholar
  24. Del Blanco IA, Frohberg RC, Stack RW, Berzonsky WA, Kianian SF (2003) Detection of QTL linked to Fusarium head blight resistance in Sumai 3-derived North Dakota bread wheat lines. Theor Appl Genet 106:1027–1031Google Scholar
  25. Draeger R, Gosman N, Steed A et al (2007) Identification of QTLs for resistance to Fusarium head blight, DON accumulation and associated traits in the winter wheat variety Arina. Theor Appl Genet 115:617–625Google Scholar
  26. Endelman JB (2011) Ridge regression and other kernels for genomic selection with R package rrBLUP. Plant Genome 4:250–255Google Scholar
  27. Fisher RA (1921) On the “probable error” of a coefficient of correlation deduced from a small sample. Metron 1:1–32Google Scholar
  28. Fones H, Gurr S (2015) The impact of Septoria tritici blotch disease on wheat: an EU perspective. Fungal Genet Biol 79:3–7Google Scholar
  29. Gervais L, Dedryver F, Morlais JY et al (2003) Mapping of quantitative trait loci for field resistance to Fusarium head blight in an European winter wheat. Theor Appl Genet 106:961–970Google Scholar
  30. Gilmour A, Gogel B, Cullis B, Thompson R (2009) ASReml user guide release 3.0. VSN International Hemel Ltd, Hempstead. http://www.vsni.co.uk. Accessed 3 March 2017
  31. Goddard M, Hayes B (2007) Genomic selection. J Anim Breed Genet 124:323–330Google Scholar
  32. González-Camacho J, de los Campos G, Pérez P et al (2012) Genome-enabled prediction of genetic values using radial basis function neural networks. Theor Appl Genet 125:759–771Google Scholar
  33. Goodwin SB (2007) Back to basics and beyond: increasing the level of resistance to Septoria tritici blotch in wheat. Australas Plant Pathol 36:532–538Google Scholar
  34. Gosman N, Steed A, Simmonds J, Leverington-Waite M, Wang Y, Snape J, Nicholson P (2008) Susceptibility to Fusarium head blight is associated with the Rht-D1b semi-dwarfing allele in wheat. Theor Appl Genet 116:1145–1153Google Scholar
  35. Gower J (1966) Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53:325–338Google Scholar
  36. Griffiths S, Simmonds J, Leverington M et al (2009) Meta-QTL analysis of the genetic control of ear emergence in elite European winter wheat germplasm. Theor Appl Genet 119:383–395Google Scholar
  37. Habier D, Fernando R, Dekkers J (2007) The impact of genetic relationship information on genome-assisted breeding values. Genetics 177:2389–2397Google Scholar
  38. Hallauer A, Miranda JB (1981) Quantitative genetics in maize breeding. Iowa State University Press, Iowa CityGoogle Scholar
  39. Han S, Utz H, Liu W et al (2016) Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize. Theor Appl Genet 129:431–444Google Scholar
  40. Hanocq E, Laperche A, Jaminon O, Lainé A, Le Gouis J (2007) Most significant genome regions involved in the control of earliness traits in bread wheat, as revealed by QTL meta-analysis. Theor Appl Genet 114:569–584Google Scholar
  41. Hayes B, Visscher P, Goddard M (2009) Increased accuracy of artificial selection by using the realized relationship matrix. Genet Res 91:47–60Google Scholar
  42. Heffner EL, Sorrells ME, Jannink JL (2009) Genomic selection for crop improvement. Crop Sci 49:1–12Google Scholar
  43. Heffner EL, Lorenz AJ, Jannink JL, Sorrells ME (2010) Plant breeding with genomic selection: gain per unit time and cost. Crop Sci 50:1681–1690Google Scholar
  44. Herter CP, Ebmeyer E, Kollers S, Korzun V, Miedaner T (2019) An experimental approach for estimating the realized gain from genomic selection for Fusarium head blight and Septoria tritici blotch in winter wheat. Theor Appl Genet (submitted)Google Scholar
  45. Hess D, Shaner G (1987) Effect of moisture and temperature on development of Septoria tritici blotch in wheat. Phytopathology 77:215–219Google Scholar
  46. Holzapfel J, Voss HH, Miedaner T, Korzun V, Häberle J, Schweizer G, Mohler V, Zimmermannn G, Hartl L (2008) Inheritance of resistance to Fusarium head blight in three European winter wheat populations. Theor Appl Genet 117:1119–1128Google Scholar
  47. Jannink J-L, Lorenz A, Iwata H (2010) Genomic selection in plant breeding: from theory to practice. Brief Funct Genom 9:166–177Google Scholar
  48. Jiang Y, Schulthess A, Rodemann B et al (2016) Validating the prediction accuracies of marker-assisted and genomic selection of Fusarium head blight resistance in wheat using an independent sample. Theor Appl Genet 130:471–482Google Scholar
  49. Juliana P, Singh R, Singh P et al (2017) Comparison of models and whole-genome profiling approaches for genomic-enabled prediction of Septoria tritici blotch, Stagonospora nodorum blotch, and tan spot resistance in wheat. Plant Genome.  https://doi.org/10.3835/plantgenome2016.08.0082 Google Scholar
  50. Klahr A, Zimmermann G, Wenzel G, Mohler V (2007) Effects of environment, disease progress, plant height and heading date on the detection of QTLs for resistance to Fusarium head blight in an European winter wheat cross. Euphytica 154:17–28Google Scholar
  51. Kollers S, Rodemann B, Ling J et al (2013) Genetic architecture of resistance to Septoria tritici blotch (Mycosphaerella graminicola) in European winter wheat. Mol Breed 32:411–423Google Scholar
  52. Kuchel H, Hollamby G, Langridge P, Williams K, Jefferies S (2006) Identification of genetic loci associated with ear-emergence in bread wheat. Theor Appl Genet 113:1103–1112Google Scholar
  53. Kutcher HR, Johnston AM, Bailey KL, Malhi SS (2011) Managing crop losses from plant diseases with foliar fungicides, rotation and tillage on a Black chernozem in Saskatchewan, Canada. Field Crop Res 124:205–212Google Scholar
  54. Lande R, Thompson R (1990) Efficiency of marker-assisted selection in the improvement of quantitative traits. Genetics 124:743–756Google Scholar
  55. Lehermeier C, Krämer N, Bauer E et al (2014) Usefulness of multiparental populations of maize (Zea mays L.) for genome-based prediction. Genetics 198:3–16Google Scholar
  56. Liabeuf D, Sim S, Francis D (2018) Comparison of marker-based genomic estimated breeding values and phenotypic evaluation for selection of bacterial spot resistance in tomato. Phytopathology 108:392–401Google Scholar
  57. Liu S, Hall M, Griffey C, McKendry A (2009) Meta-analysis of QTL associated with Fusarium head blight resistance in wheat. Crop Sci 49:1955–1968Google Scholar
  58. Löffler M, Schön CC, Miedaner T (2009) Revealing the genetic architecture of FHB resistance in hexaploid wheat (Triticum aestivum L.) by QTL meta-analysis. Mol Breed 23:473–488Google Scholar
  59. Lorenz A, Smith K (2015) Adding genetically distant individuals to training populations reduces genomic prediction accuracy in barley. Crop Sci 55:2657–2667Google Scholar
  60. Lorenz A, Chao S, Asoro F et al (2011) Genomic selection in plant breeding: knowledge and prospects. Adv Agron 110:77–123Google Scholar
  61. Marulanda JJ, Melchinger AE, Würschum T (2015) Genomic selection in biparental populations: assessment of parameters for optimum estimation set design. Plant Breed 134:623–630Google Scholar
  62. McCartney CA, Somers DJ, Fedak G, DePauw RM, Thomas J, Fox SL, Humphreys DG, Lukow O, Savard ME, McCallum BD, Gilbert J, Cao W (2007) The evaluation of FHB resistance QTLs introgressed into elite Canadian spring wheat germplasm. Mol Breed 20:209–221Google Scholar
  63. McGill R, Tukey JW, Larsen WA (1978) Variations of box plots. Am Stat 32:12–16Google Scholar
  64. Meuwissen T, Hayes B, Goddard M (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157:1819–1829Google Scholar
  65. Michel S, Ametz C, Gungor H, Epure D, Grausgruber H, Löschenberger F, Buerstmayr H (2016) Genomic selection across multiple breeding cycles in applied bread wheat breeding. Theor Appl Genet 129:1179–1189Google Scholar
  66. Miedaner T, Korzun V (2012) Marker-assisted selection for disease resistance in wheat and barley breeding. Phytopathology 102:560–566Google Scholar
  67. Miedaner T, Gang G, Geiger H (1996) Quantitative-genetic basis of aggressiveness of 42 isolates of Fusarium culmorum for winter rye head blight. Plant Dis (USA) 80:500–504Google Scholar
  68. Miedaner T, Wilde F, Steiner B, Buerstmayr H, Korzun V, Ebmeyer E (2006) Stacking quantitative trait loci (QTL) for Fusarium head blight resistance from non-adapted sources in an European elite spring wheat background and assessing their effects on deoxynivalenol (DON) content and disease severity. Theor Appl Genet 112:562–569Google Scholar
  69. Miedaner T, Würschum T, Maurer HP, Korzun V, Ebmeyer E, Reif JC (2011) Association mapping for Fusarium head blight resistance in European soft winter wheat. Mol Breed 28:647–655Google Scholar
  70. Miedaner T, Risser P, Paillard S, Schnurrbusch T, Keller B, Hartl L, Holzapfel J, Korzun V, Ebmeyer E, Utz HF (2012) Broad-spectrum resistance loci for three quantitatively inherited diseases in two winter wheat populations. Mol Breed 29:731–742Google Scholar
  71. Miedaner T, Zhao Y, Gowda M et al (2013) Genetic architecture of resistance to Septoria tritici blotch in European wheat. BMC Genom 14:858Google Scholar
  72. Miedaner T, Schulthess AW, Gowda M, Reif JC, Longin CFH (2017) High accuracy of predicting hybrid performance of Fusarium head blight resistance by mid-parent values in wheat. Theor Appl Genet 130:461–470Google Scholar
  73. Miedaner T, Herter CP, Ebmeyer E, Kollers S, Korzun V (2019) Use of non-adapted QTL for Fusarium head blight resistance for breeding semi-dwarf wheat. Plant Breed (submitted 2018)Google Scholar
  74. Mirdita V, He S, Zhao Y et al (2015a) Potential and limits of whole genome prediction of resistance to Fusarium head blight and Septoria tritici blotch in a vast Central European elite winter wheat population. Theor Appl Genet 128:2471–2481Google Scholar
  75. Mirdita V, Liu G, Zhao Y et al (2015b) Genetic architecture is more complex for resistance to Septoria tritici blotch than to Fusarium head blight in Central European winter wheat. BMC Genom 16:430Google Scholar
  76. Nakaya A, Isobe SN (2012) Will genomic selection be a practical method for plant breeding? Ann Bot 110:1303–1316Google Scholar
  77. Paul PA, McMullen MP, Hershman DE, Madden LV (2010) Meta-analysis of the effects of triazole-based fungicides on wheat yield and test weight as influenced by Fusarium head blight intensity. Phytopathology 100:160–171Google Scholar
  78. Piepho H, Williams E, Fleck M (2006) A note on the analysis of designed experiments with complex treatment structure. HortScience 41:446–452Google Scholar
  79. Pirgozliev SR, Edwards SG, Hare MC et al (2003) Strategies for the control of Fusarium head blight in cereals. Eur J Plant Pathol 109:731–742Google Scholar
  80. Poland J, Rutkoski J (2016) Advances and challenges in genomic selection for disease resistance. Annu Rev Phytopathol 54:79–98Google Scholar
  81. R Core Team (2017) R: a language and environment for statistical computing. Retrieved from R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. Accessed 3 Mar 2017
  82. Reif J, Maurer H, Korzun V, Ebmeyer E, Miedaner T, Würschum T (2011) Mapping QTLs with main and epistatic effects underlying grain yield and heading time in soft winter wheat. Theor Appl Genet 123:283Google Scholar
  83. Rutkoski J, Benson J, Jia Y, Brown-Guedira G, Jannink J, Sorrells M (2012) Evaluation of genomic prediction methods for Fusarium head blight resistance in wheat. Plant Genome 5:51–61Google Scholar
  84. Rutkoski J, Poland J, Singh R et al (2014) Genomic selection for quantitative adult plant stem rust resistance in wheat. Plant genome.  https://doi.org/10.3835/plantgenome2014.02.0006 Google Scholar
  85. Rutkoski J, Singh RP, Huerta-Espino J, Bhavani S, Poland J, Jannink JL, Sorrells ME (2015) Genetic gain from phenotypic and genomic selection for quantitative resistance to stem rust of wheat. Plant Genome.  https://doi.org/10.3835/plantgenome2014.10.0074 Google Scholar
  86. Salameh A, Buerstmayr M, Steiner B, Neumayer A, Lemmens M, Buerstmayr H (2011) Effects of introgression of two QTL for Fusarium head blight resistance from Asian spring wheat by marker-assisted backcrossing into European winter wheat on Fusarium head blight resistance, yield and quality traits. Mol Breed 28:485–494Google Scholar
  87. Saur L, Trottet M (1992) Héritabilité de la résistance à la fusariose de l’épi et sélection récurrente dans une population de blé tendre. Agronomie 12:297–302Google Scholar
  88. Schmolke M, Zimmermann G, Buerstmayr H et al (2005) Molecular mapping of Fusarium head blight resistance in the winter wheat population Dream/Lynx. Theor Appl Genet 111:747–775Google Scholar
  89. Shindo C, Tsujimoto H, Sasakuma T (2003) Segregation analysis of heading traits in hexaploid wheat utilizing recombinant inbred lines. Heredity 90:56–63Google Scholar
  90. Singh RP, Ma H, Rajaram S (1995) Genetic analysis of resistance to scab in spring wheat cultivars ‘Frontana’. Plant Dis 79:238–240Google Scholar
  91. Snijders C, Perkowski J (1990) Effects of head blight caused by Fusarium culmorum on toxin content and weight of wheat kernels. Phytopathology 80:566–570Google Scholar
  92. Spindel J, Begum H, Akdemir D, Collard B, Redoña E, Jannink J, McCouch S (2016) Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement. Heredity 116:395–408Google Scholar
  93. Srinivasachary, Gosman N, Steed A, Hollins T, Bayles R, Jennings P, Nicholson P (2009) Semi-dwarfing Rht-B1 and Rht-D1 loci of wheat differ significantly in their influence on resistance to Fusarium head blight. Theor Appl Genet 118:695–702Google Scholar
  94. Stram D, Lee J (1994) Variance components testing in the longitudinal mixed effects model. Biometrics 50:1171–1177Google Scholar
  95. Thompson E, Shaw R (1990) Pedigree analysis for quantitative traits: variance components without matrix inversion. Biometrics 46:399–413Google Scholar
  96. Tinker N, Fortin M, Mather D (1993) Random amplified polymorphic DNA and pedigree relationships in spring barley. Theor Appl Genet 85:976–984Google Scholar
  97. Torriani SFF, Brunner PC, McDonald BA, Sierotzki H (2009) QoI resistance emerged independently at least 4 times in European populations of Mycosphaerella graminicola. Pest Manag Sci 65:155–162Google Scholar
  98. Utz H, Melchinger A, Schön C (2000) Bias and sampling error of the estimated proportion of genotypic variance explained by quantitative trait loci determined from experimental data in maize using cross validation and validation with independent samples. Genetics 154:1839–1849Google Scholar
  99. Von der Ohe C, Ebmeyer E, Korzun V, Miedaner T (2010) Agronomic and quality performance of winter wheat backcross populations carrying non-adapted Fusarium head blight resistance QTL. Crop Sci 50:2283–2290Google Scholar
  100. Voss H, Holzapfel J, Hartl L et al (2008) Effect of the Rht-D1 dwarfing locus on Fusarium head blight rating in three segregating populations of winter wheat. Plant Breed 127:333–339Google Scholar
  101. Wang S, Wong D, Forrest K et al (2014) Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array. Plant Biotechnol J 12:787–796Google Scholar
  102. Wegenast T, Longin CFH, Utz HF, Melchinger AE, Maurer HP, Reif JC (2008) Hybrid maize breeding with doubled haploids IV. Number versus size of crosses and importance of parental selection in two-stage selection for testcross performance. Theor Appl Genet 117:251–260Google Scholar
  103. Whittaker J, Thompson R, Denham M (2000) Marker-assisted selection using ridge regression. Genet Res 75:249–252Google Scholar
  104. Wilde F, Korzun V, Ebmeyer E, Geiger HH, Miedaner T (2007) Comparison of phenotypic and marker-based selection for Fusarium head blight resistance and DON content in spring wheat. Mol Breed 19:357–370Google Scholar
  105. Willyerd KT, Li C, Madden L, Bradley V, Bergstrom CA, Sweets GC, McMullen LE et al (2012) Efficacy and stability of integrating fungicide and cultivar resistance to manage Fusarium head blight and deoxynivalenol in wheat. Plant Dis 96:957–967Google Scholar
  106. Wright S (1978) Evolution and genetics of populations, variability within and among natural populations, vol 4. The University of Chicago Press, Chicago, p 91Google Scholar
  107. Würschum T (2012) Mapping QTL for agronomic traits in breeding populations. Theor Appl Genet 125:201–210Google Scholar
  108. Würschum T, Abel S, Zhao Y (2014) Potential of genomic selection in rapeseed (Brassica napus L.) breeding. Plant Breed 133:45–51Google Scholar
  109. Würschum T, Langer S, Longin C (2015) Genetic control of plant height in European winter wheat cultivars. Theor Appl Genet 128:865–874Google Scholar
  110. Würschum T, Maurer H, Weissmann S, Hahn V, Leiser W (2017) Accuracy of within-and among-family genomic prediction in triticale. Plant Breed 136:230–236Google Scholar
  111. Yang ZP, Gilbert J, Somers DJ, Fedak G, Procunier JD, McKenzie IH (2003) Marker assisted selection of Fusarium head blight resistance genes in two doubled haploid populations of wheat. Mol Breed 12:309–317Google Scholar
  112. Yuen GY, Schoneweis SD (2007) Strategies for managing Fusarium head blight and deoxynivalenol accumulation in wheat. Int J Food Microbiol 119:126–130Google Scholar
  113. Zhang X, Pérez-Rodríguez P, Semagn K et al (2015) Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs. Heredity 114:291–299Google Scholar
  114. Zhao Y, Gowda M, Liu W et al (2012) Accuracy of genomic selection in European maize elite breeding populations. Theor Appl Genet 124:769–776Google Scholar
  115. Zhou WC, Kolb FL, Bai GH, Domier LL, Boze LK, Smith NJ (2003) Validation of a major QTL for scab resistance with SSR markers and use of marker-assisted selection in wheat. Plant Breed 122:40–46Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.State Plant Breeding InstituteUniversity of HohenheimStuttgartGermany
  2. 2.KWS LOCHOW GmbHBergenGermany

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