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Artikelaktionen

Publications

Voss-Fels KP, Stahl A, Wittkop B, Lichthardt C, Nagler S, Rose T, Chen TW, Zetzsche H, Seddig S, Majid Baig M, Ballvora A, Frisch M, Ross E, Hayes BJ, Hayden MJ, Ordon F, Leon J, Kage H, Friedt W, Stützel H, Snowdon RJ (2019) Breeding improves wheat productivity under contrasting agrochemical input levels. Nature Plants 5:706–714

 

Snowdon RJ, Stahl A, Wittkop B, Friedt W, Voss-Fels K, Ordon F, Frisch M, Dreisigacker S, Hearne SJ, Bett KE, Cuthbert RD, Bentley AR, Melchinger AE, Tuberosa R, Langridge P, Uauy C, Sorrells ME, Poland J, Pozniak CJ (2019) Reduced response diversity does not negatively impact wheat climate resilience. Proceedings of the National Academy of Science USA 116:10623-10624

 

Stahl A, Vollrath P, Samans B, Frisch M, Wittkop B, Snowdon RJ (2019) Effect of breeding on nitrogen use efficiency associated traits in oilseed rape. Journal of Experimental Botany 70:1969-1986

 

Osthushenrich T, Frisch M, Zenke-Philippi C, Jaiser H, Spiller M, Cselenyi L, Krumnacker K, Boxberger S, Kopahnke D, Habekuß A, Ordon F, Herzog E (2018) Prediction of means and variances of crosses with genome-wide marker effects in barley. Frontiers in Plant Science 9:1899

 

Voss-Fels K, Qian L, Gabur I, Obermeier C, Hickey L, Werner CR, Kontowski S, Frisch M, Friedt W, Snowdon RJ, Gottwald S (2018) Genetic insights into underground responses to Fusarium graminearum infection in wheat. Scientific Reports 8:13153

 

Hendgen M, Hoppe B, D\"oring J, Friedel M, Kauer R, Frisch M, Dahl A, Kellner H (2018) Effects of different management regimes on microbial biodiversity in vineyard soils. Scientific Reports 8:9393

 

Seifert F, Thiemann A, Schrag TA, Rybka D, Melchinger AE, Frisch M, Scholten S (2018) Small RNA-based prediction of hybrid performance in maize. BMC Genomics 19:371

 

Seifert F, Thiemann A, Grant-Downton R, Edelmann S, Rybka D, Schrag TA, Frisch M, Dickinson HG, Melchinger AE, Scholten S (2018) Parental expression variation of small RNAs is negatively correlated with grain yield heterosis in a maize breeding population. Frontiers in Plant Science. 9:13

 

Voss-Fels K, Robinson H, Miller-Cooper A, Mudge S, Newman S, Richard C, Wittkop B, Stahl A, Friedt W, Frisch M, Borrell A, Kelly A, Fox G, Christopher J, Christopher M, Chenu K, Franckowiak J, Mace E, Jordan D, Eagles H, Hammer G, Godwin ID, Trevaskis B, Snowdon RJ, Hickey L (2018) VERNALIZATION1 modulates root system architecture in wheat and barley. Molecular Plant 11:226-229

 

Osthushenrich T, Frisch M, Herzog E (2017) Genomic selection of crossing partners on basis of the expected mean and variance of their derived lines. Plos One 12(12):e0188839

 

Werner CR, Qian L, Voss-Fels KP, Abbadi A, Leckband G, Frisch M, Snowdon RJ (2017) Genome-wide regression models considering general and specific combining ability predict hybrid performance in oilseed rape with similar accuracy regardless of trait architecture. Theoretical and Applied Genetics  131:299--317

 

Bernhard T, Friedt W, Voss-Fels KP, Frisch M, Snowdon RJ, Wittkop B (2017) Heterosis for biomass and grain yield facilitates breeding of productive dual-purpose winter barley hybrids. Crop Science 57:1-14

 

Stahl A, Pfeifer M, Frisch M, Wittkop B, Snowdon RJ (2017) Recentgenetic gains in nitrogen use efficiency in oilseed rape. Frontiers in Plant Science 8:963

 

Voss-Fels K, Qian L, Parra-Londono S, Uptmoor R, Frisch M, Keeble-Gagnère G, Appels R, Snowdon RJ (2017) Linkage drag constrains the roots of modern wheat. Plant, Cell and Environment 40:717-725

 

Zenke-Philippi C, Frisch M, Thiemann A, Seifert F, Schrag T, Melchinger AE, Scholten S, Herzog E (2017) Transcriptome-based prediction of hybrid performance with unbalanced data from a maize breeding program. Plant Breeding 136:331-337

 

Zenke-Philippi C, Thiemann A, Seifert F, Schrag T, Melchinger AE, Scholten S and Frisch M (2016) Prediction of hybrid performance in maize with a ridge regression model employed to DNA markers and mRNA transcription profiles. BMC Genomics 17:262

 

Döring J, Frisch M, Tittmann S, Stoll M, Kauer R (2015) Growth, Yield and Fruit Quality of Grapevines under Organic and Biodynamic Management. Plos One 10(10):e0138445

 

Hatzig SV, Frisch M, Breuer F, Nesi N, Ducournau S, Wagner M-H, Leckband G, Abbadi A and Snowdon RJ (2015) Genome-wide association mapping unravels the genetic control of seed germination and vigor in Brassica napus. Frontiers in Plant Science 6:221

 

Mahone GS, Frisch M, Bauer E, Haseneyer G, Miedaner Th, Falke KC (2015) Detection of donor effects in a rye introgression population with genome-wide prediction. Plant Breeding 134:406-415

 

Voss-Fels K, Frisch M, Qian L, Kontowski S, Friedt W, Gottwald S, Snowdon RJ (2015) Subgenomic diversity patterns caused by directional selection in bread wheat genepools. The Plant Genome 8(2):1-13

 

Döring J, Stoll M, Kauer R, Frisch M, Tittmann S (2014) Indirect estimation of leaf area index in VSP-trained grapevines using plant area index. American Journal of Enology and Viticulture 65: 153-158

 

Falke KC, Mahone GS, Bauer E, Haseneyer G, Miedaner T, Breuer F and Frisch M (2014) Genome-wide prediction methods for detecting genetic effects of donor chromosome segments in introgression populations. BMC Genomics 15:782

 

Herzog E, Falke KC, Presterl T, Scheuermann D, Ouzunova M, Frisch M (2014) Selection strategies for the development of maize introgression populations. PLoS ONE 9(3): e92429

 

Hofheinz N, Frisch M (2014) Heteroscedastic ridge regression approaches for genome-wide prediction with a focus on computational efficiency and accurate effect estimation. G3 4(3): 539-546

 

Thiemann A, Fu J, Seifert F, Grant-Downton RT, Schrag TA, Pospisil H, Frisch M, Melchinger AE, Scholten S (2014) Genome-wide meta-analysis of maize heterosis reveals the potential role of additive gene expression at pericentromeric loci. BMC Plant Biology 14:88

 

Herzog E, Töpfer R, Hausmann L, Eibach R, Frisch M (2013) Selection strategies for marker-assisted background selection with chromosome-wise SSR multiplexes in pseudo-backcross programs for grapevine breeding. Vitis 52: 193-196

 

Herzog E, Frisch M (2013) Efficient marker-assisted backcross conversion of seed-parent lines to cytoplasmic male sterility. Plant Breeding 132: 33-41

 

Mahone GS, Frisch M, Miedaner T, Wilde P, Wortmann H, Falke KC (2013) Identification of quantitative trait loci in rye introgression lines carrying multiple donor chromosome segments. Theoretical and Applied Genetics 126:49-58

 

Fu J, Falke KC, Thiemann A, Schrag TA, Melchinger AE, Scholten S, Frisch M (2012) Partial least squares regression, support vector machine regression, and transcriptome-based distances for prediction of maize hybrid performance with gene expression data. Theoretical and Applied Genetics 124:825-833

 

Hofheinz N, Borchardt D, Weissleder K, Frisch M (2012) Genome-based prediction of test cross performance in two subsequent breeding cycles. Theoretical and Applied Genetics 125:1639-1645

 

Mahone GS, Borchardt D, Presterl T, Frisch M (2012) A Comparison of Tests for QTL Mapping with Introgression Libraries Containing Overlapping and Nonoverlapping Donor Segments. Crop Science 52:2198-2205

 

Falke KC, Frisch M (2011) Power and false positive rate in QTL detection with near-isogenic line libraries. Heredity 106:576-584

 

Herzog E, Frisch M (2011) Selection strategies for marker-assisted backcrossing with high-throughput marker systems. Theoretical and Applied Genetics 123:251-260

 

Frisch M, Thiemann A, Fu J, Schrag TA, Scholten S, Melchinger AE (2010) Transcriptome-based distance measures for grouping of germplasm and prediction of hybrid performance in maize. Theoretical and Applied Genetics 120:415-427

 

Fu J, Thieman A, Schrag TA, Melchinger AE, Scholten S, Frisch M (2010) Dissecting grain yield pathways and their interactions with grain dry matter content by a two-step correlation approach with maize seedling transcriptome. BMC Plant Biology 10:63

 

Schrag TA, Möring J, Melchinger AE, Kusterer B, Dhillon BS, Piepho H-P, Frisch M (2010) Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds. Theoretical and Applied Genetics 120:451-461

 

Shiringani AL, Frisch M, Friedt W (2010) Genetic mapping of QTL for sugar-related traits in a RIL population of Sorghum bicolor L. Moench. Theoretical and Applied Genetics 121:323-336

 

Thiemann A, Fu J, Schrag TA, Melchinger AE, Frisch M, Scholten S (2010) Correlation between parental transcriptome and field data for the characterization of heterosis in Zea mays L. Theoretical and Applied Genetics 120:401-413

 

Falke KC, Miedaner T, Frisch M (2009) Selection strategies for the development of rye introgression libraries. Theoretical and Applied Genetics 119:595–603

 

Longin F, Maurer HP, Melchinger AE, Frisch M (2009) Optimum allocation of test resources and relative efficiency of alternative procedures of within-family selection in hybrid breeding. Plant Breeding 128:213-216

 

Prigge V, Melchinger AE, Dhillon BS, Frisch M (2009) Efficiency gain of marker-assisted backcrossing by sequentially increasing marker densities over generations. Theoretical and Applied Genetics 119:23-32

 

Schrag TA, Frisch M, Dhillon BS, Melchinger AE (2009) Marker-based prediction of hybrid performance in maize single-crosses involving doubled haploids. Maydica 54:353-362

 

Schrag TA, Möhring J, Maurer HP, Dhillon BS, Melchinger AE, Piepho H-P, Sørensen AP, Frisch M (2009) Molecular marker-based prediction of hybrid performance in maize using unbalanced data from multiple experiments with factorial crosses. Theoretical and Applied Genetics 118:741-751

 

Frisch M, Melchinger AE (2008) Precision of recombination frequency estimates after random intermating with finite population sizes. Genetics 178:597-600

 

Heckenberger M, Maurer HP, Melchinger AE, Frisch M (2008) The Plabsoft database: a comprehensive database management system for integrating phenotypic and genomic data in academic and commercial plant breeding programs. Euphytica 161:173-179

 

Maurer HP, Melchinger AE, Frisch M (2008) Population genetic simulation and data analysis with Plabsoft. Euphytica 161:133-139

 

Prigge V, Maurer HP, Mackill DJ, Melchinger AE, Frisch M (2008) Comparison of the observed with the simulated distributions of the parental genome contribution in two marker-assisted backcross programs in rice. Theoretical and Applied Genetics 116:739-744

 

Warburton ML, Reif JC, Frisch M, Bohn M, Bedoya C, Xia XC, Crossa J, Franco J, Hoisington D, Pixley K, Taba S, Melchinger AE (2008) Genetic Diversity in CIMMYT Nontemperate Maize Germplasm: Landraces, Open Pollinated Varieties, and Inbred Lines. Crop Science 48:617-624


Older Publications


Falke KC, Maurer HP, Melchinger AE, Piepho HP, Flachenecker C, Frisch M (2007) Linkage disequilibrium in two European F2 flint maize populations under modified recurrent full-sib selection. Theoretical and Applied Genetics 115:289-297

 

Frisch M, Melchinger AE (2007) Variance of the Parental Genome Contribution to Inbred Lines Derived From Biparental Crosses. Genetics 176: 477-48

 

Schrag TA, Maurer HP, Melchinger AE, Piepho HP, Peleman J, Frisch M (2007) Prediction of single-cross hybrid performance in maize using haplotype blocks associated with QTL for grain yield. Theoretical and Applied Genetics 114:1345-1355

 

Falke KC, Melchinger EA, Flachenecker C, Kusterer B, Frisch M (2006) Comparison of linkage maps from F2 and three times intermated generations in two populations of European flint maize (Zea mays L.). Theoretical and Applied Genetics 113:857-866

 

Flachenecker C, Frisch M, Falke KC (2006) Genetic drift and selection effects of modified recurrent full-sib selection programs in two F2 populations of European flint maize. Theoretical and Applied Genetics 113:1113-1120

 

Flachenecker C, Frisch M, Falke KC, Melchinger AE (2006) Trends in population parameters and best linear unbiased prediction of progeny performance in a European F2 maize population under modified recurrent full-sib selection. Theoretical and Applied Genetics 112: 483-491

 

Frisch M, Melchinger AE (2006) Marker-Based Prediction of the Parental Genome Contribution to Inbred Lines Derived From Biparental Crosses. Genetics 174: 795-803

 

Schrag TA, Melchinger EA, Sørensen AP, Frisch M (2006) Prediction of single-cross hybrid performance for grain yield and grain dry matter content in maize using AFLP markers associated with QTL. Theoretical and Applied Genetics 113:1037-1047

 

Frisch M (2005) Breeder Strategies: Optimum Design of Marker-Assisted Backcross Programs. Biotechnologie in Agriculture and Forestry. Vol. 55

 

Frisch M, Melchinger AE (2005) Selection Theory for Marker-Assisted Backcrossing. Genetics 170: 909-917

 

Reif JC, Melchinger AE, Frisch M (2005) Genetical and Mathematical Properties of Similarity and Dissimilarity Coefficients Applied in Plant Breeding and Seed Bank Management. Crop Science 45:1-7

 

Xia XC, Reif JC, Melchinger EA, Frisch M, Hoisington DA, Beck D, Pixley K, Warburton ML (2005) Genetic Diversity among CIMMYT Maize Inbred Lines Investigated with SSR Markers: II. Subtropical, Tropical Midaltitude, and Highland Maize Inbred Lines and their Relationships with Elite U.S. and European Maize. Crop Science. 45:2573-2582

 

Frisch M, Melchinger AE (2001) The Length of the Intact Donor Chromosome Segment Around a Target Gene in Marker-Assisted Backcrossing. Genetics 157: 1343-1356

 

Frisch M, Melchinger AE (2001) Marker-Assisted Backcrossing for Introgression of a Recessive Gene. Crop Science 41:1485-1494

 

Frisch M, Melchinger AE (2001) Marker-Assisted Backcrossing for Simultaneous Introgression of Two Genes. Crop Science 41:1716-1725

 

Frisch M, Bohn M, Melchinger AE (1999) Comparison of Selection Strategies for Marker-Assisted Backcrossing of a Gene. Crop Science 39:1295-1301

 

Frisch M, Bohn M, Melchinger AE (1999) Minimum sample size and optimal positioning of flanking markers in marker-assisted backcrossing for transfer of a target gene.Crop Science 39:967-975