Search Results - "Frisch, Matthias"

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  1. 1

    Genomic selection of crossing partners on basis of the expected mean and variance of their derived lines by Osthushenrich, Tanja, Frisch, Matthias, Herzog, Eva

    Published in PloS one (04-12-2017)
    “…In a line or a hybrid breeding program superior lines are selected from a breeding pool as parental lines for the next breeding cycle. From a cross of two…”
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  2. 2

    Growth, Yield and Fruit Quality of Grapevines under Organic and Biodynamic Management by Döring, Johanna, Frisch, Matthias, Tittmann, Susanne, Stoll, Manfred, Kauer, Randolf

    Published in PloS one (08-10-2015)
    “…The main objective of this study was to determine growth, yield and fruit quality of grapevines under organic and biodynamic management in relation to…”
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  3. 3

    Genetic mapping of QTLs for sugar-related traits in a RIL population of Sorghum bicolor L. Moench by Shiringani, Amukelani Lacrecia, Frisch, Matthias, Friedt, Wolfgang

    Published in Theoretical and applied genetics (01-07-2010)
    “…The productivity of sorghum is mainly determined by quantitative traits such as grain yield and stem sugar-related characteristics. Substantial crop…”
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  4. 4

    Linkage drag constrains the roots of modern wheat by Voss‐Fels, Kai P., Qian, Lunwen, Parra‐Londono, Sebastian, Uptmoor, Ralf, Frisch, Matthias, Keeble‐Gagnère, Gabriel, Appels, Rudi, Snowdon, Rod J.

    Published in Plant, cell and environment (01-05-2017)
    “…Roots, the hidden half of crop plants, are essential for resource acquisition. However, knowledge about the genetic control of below‐ground plant development…”
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  5. 5

    Stacked ensembles on basis of parentage information can predict hybrid performance with an accuracy comparable to marker-based GBLUP by Heilmann, Philipp Georg, Frisch, Matthias, Abbadi, Amine, Kox, Tobias, Herzog, Eva

    Published in Frontiers in plant science (21-07-2023)
    “…Testcross factorials in newly established hybrid breeding programs are often highly unbalanced, incomplete, and characterized by predominance of special…”
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  6. 6

    Training set designs for prediction of yield and moisture of maize test cross hybrids with unreplicated trials by Terraillon, Jérôme, Roeber, Frank K, Flachenecker, Christian, Frisch, Matthias

    Published in Frontiers in plant science (06-03-2023)
    “…Unreplicated field trials and genomic prediction are both used to enhance the efficiency in early selection stages of a hybrid maize breeding program. No…”
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  7. 7

    Haplotype blocks for genomic prediction: a comparative evaluation in multiple crop datasets by Weber, Sven E., Frisch, Matthias, Snowdon, Rod J., Voss-Fels, Kai P.

    Published in Frontiers in plant science (05-09-2023)
    “…In modern plant breeding, genomic selection is becoming the gold standard for selection of superior genotypes. The basis for genomic prediction models is a set…”
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  8. 8

    Small RNA-based prediction of hybrid performance in maize by Seifert, Felix, Thiemann, Alexander, Schrag, Tobias A, Rybka, Dominika, Melchinger, Albrecht E, Frisch, Matthias, Scholten, Stefan

    Published in BMC genomics (21-05-2018)
    “…Small RNA (sRNA) sequences are known to have a broad impact on gene regulation by various mechanisms. Their performance for the prediction of hybrid traits has…”
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  9. 9

    Accurate prediction of quantitative traits with failed SNP calls in canola and maize by Weber, Sven E., Chawla, Harmeet Singh, Ehrig, Lennard, Hickey, Lee T., Frisch, Matthias, Snowdon, Rod J.

    Published in Frontiers in plant science (23-10-2023)
    “…In modern plant breeding, genomic selection is becoming the gold standard to select superior genotypes in large breeding populations that are only partially…”
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  10. 10

    Recent Genetic Gains in Nitrogen Use Efficiency in Oilseed Rape by Stahl, Andreas, Pfeifer, Mara, Frisch, Matthias, Wittkop, Benjamin, Snowdon, Rod J

    Published in Frontiers in plant science (07-06-2017)
    “…Nitrogen is essential for plant growth, and N fertilization allows farmers to obtain high yields and produce sufficient agricultural commodities. On the other…”
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  11. 11

    Genomic prediction with haplotype blocks in wheat by Difabachew, Yohannes Fekadu, Frisch, Matthias, Langstroff, Anna Luise, Stahl, Andreas, Wittkop, Benjamin, Snowdon, Rod J, Koch, Michael, Kirchhoff, Martin, Cselényi, László, Wolf, Markus, Förster, Jutta, Weber, Sven, Okoye, Uche Joshua, Zenke-Philippi, Carola

    Published in Frontiers in plant science (09-05-2023)
    “…Haplotype blocks might carry additional information compared to single SNPs and have therefore been suggested for use as independent variables in genomic…”
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  13. 13

    Alterations in the Chemical Composition of Spinach (Spinacia oleracea L.) as Provoked by Season and Moderately Limited Water Supply in Open Field Cultivation by Schlering, Christine, Zinkernagel, Jana, Dietrich, Helmut, Frisch, Matthias, Schweiggert, Ralf

    Published in Horticulturae (01-06-2020)
    “…The current use and distribution of agricultural water resources is highly prone to effects of global climate change due to shifting precipitation patterns…”
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  14. 14

    LitInspector: literature and signal transduction pathway mining in PubMed abstracts by Frisch, Matthias, Klocke, Bernward, Haltmeier, Manuela, Frech, Kornelie

    Published in Nucleic acids research (01-07-2009)
    “…LitInspector is a literature search tool providing gene and signal transduction pathway mining within NCBI's PubMed database. The automatic gene recognition…”
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  15. 15

    Subgenomic Diversity Patterns Caused by Directional Selection in Bread Wheat Gene Pools by Voss‐Fels, Kai, Frisch, Matthias, Qian, Lunwen, Kontowski, Stefan, Friedt, Wolfgang, Gottwald, Sven, Snowdon, Rod J.

    Published in The plant genome (01-07-2015)
    “…Genetic diversity represents the fundamental key to breeding success, providing the basis for breeders to select varieties with constantly improving yield…”
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  16. 16

    Selection Theory for Marker-Assisted Backcrossing by Frisch, Matthias, Melchinger, Albrecht E

    Published in Genetics (Austin) (01-06-2005)
    “…Marker-assisted backcrossing is routinely applied in breeding programs for gene introgression. While selection theory is the most important tool for the design…”
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  17. 17

    Effects of Moderately-Reduced Water Supply and Picking Time on the Chemical Composition of Pickling Cucumber (Cucumis sativus L.) in Open Field Cultivation by Schlering, Christine, Schweiggert, Ralf, Dietrich, Helmut, Frisch, Matthias, Zinkernagel, Jana

    Published in Agronomy (Basel) (01-08-2020)
    “…As climate change evokes changing precipitation patterns, the cultivation of vegetable crops in open fields might become more difficult in the future…”
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  18. 18

    Selection strategies for the development of maize introgression populations by Herzog, Eva, Falke, Karen Christin, Presterl, Thomas, Scheuermann, Daniela, Ouzunova, Milena, Frisch, Matthias

    Published in PloS one (19-03-2014)
    “…Introgression libraries are valuable resources for QTL detection and breeding, but their development is costly and time-consuming. Selection strategies for the…”
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  19. 19

    Prediction of Means and Variances of Crosses With Genome-Wide Marker Effects in Barley by Osthushenrich, Tanja, Frisch, Matthias, Zenke-Philippi, Carola, Jaiser, Heidi, Spiller, Monika, Cselényi, László, Krumnacker, Kerstin, Boxberger, Susanna, Kopahnke, Doris, Habekuß, Antje, Ordon, Frank, Herzog, Eva

    Published in Frontiers in plant science (21-12-2018)
    “…The expected genetic variance is an important criterion for the selection of crossing partners which will produce superior combinations of genotypes in their…”
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  20. 20

    Parental Expression Variation of Small RNAs Is Negatively Correlated with Grain Yield Heterosis in a Maize Breeding Population by Seifert, Felix, Thiemann, Alexander, Grant-Downton, Robert, Edelmann, Susanne, Rybka, Dominika, Schrag, Tobias A, Frisch, Matthias, Dickinson, Hugh G, Melchinger, Albrecht E, Scholten, Stefan

    Published in Frontiers in plant science (30-01-2018)
    “…Heterosis refers to a quantitative phenomenon in which F1 hybrid trait values exceed the mean of the parental values in a positive direction. Generally, it is…”
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