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WeightNameValue
1000 Titel
  • Improved Heterosis Prediction by Combining Information on DNA- and Metabolic Markers
1000 Autor/in
  1. Gärtner, Tanja |
  2. Steinfath, Matthias |
  3. Andorf, Sandra |
  4. Lisec, Jan |
  5. Meyer, Rhonda C. |
  6. Altmann, Thomas |
  7. Willmitzer, Lothar |
  8. Selbig, Joachim |
1000 Erscheinungsjahr 2009
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2009-04-16
1000 Erschienen in
1000 Quellenangabe
  • 4(4):e5220
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2009
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0005220 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2666157/ |
1000 Ergänzendes Material
  • https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0005220#s5 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Hybrids represent a cornerstone in the success story of breeding programs. The fundamental principle underlying this success is the phenomenon of hybrid vigour, or heterosis. It describes an advantage of the offspring as compared to the two parental lines with respect to parameters such as growth and resistance against abiotic or biotic stress. Dominance, overdominance or epistasis based models are commonly used explanations. CONCLUSION/SIGNIFICANCE: The heterosis level is clearly a function of the combination of the parents used for offspring production. This results in a major challenge for plant breeders, as usually several thousand combinations of parents have to be tested for identifying the best combinations. Thus, any approach to reliably predict heterosis levels based on properties of the parental lines would be highly beneficial for plant breeding. METHODOLOGY/PRINCIPAL FINDINGS: Recently, genetic data have been used to predict heterosis. Here we show that a combination of parental genetic and metabolic markers, identified via feature selection and minimum-description-length based regression methods, significantly improves the prediction of biomass heterosis in resulting offspring. These findings will help furthering our understanding of the molecular basis of heterosis, revealing, for instance, the presence of nonlinear genotype-phenotype relationships. In addition, we describe a possible approach for accelerated selection in plant breeding.
1000 Sacherschließung
lokal Quantitative trait loci
lokal Plant breeding
lokal Metabolites
lokal Normal distribution
lokal Genetic loci
lokal Forecasting
lokal Population genetics
lokal Heterosis
1000 Fachgruppe
  1. Biologie |
  2. Agrarwissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/R8OkcnRuZXIsIFRhbmph|https://frl.publisso.de/adhoc/creator/U3RlaW5mYXRoLCBNYXR0aGlhcw==|https://frl.publisso.de/adhoc/creator/QW5kb3JmLCBTYW5kcmE=|https://frl.publisso.de/adhoc/creator/TGlzZWMsIEphbg==|https://frl.publisso.de/adhoc/creator/TWV5ZXIsIFJob25kYSBDLg==|https://frl.publisso.de/adhoc/creator/QWx0bWFubiwgVGhvbWFz|https://frl.publisso.de/adhoc/creator/V2lsbG1pdHplciwgTG90aGFy|https://frl.publisso.de/adhoc/creator/U2VsYmlnLCBKb2FjaGlt
1000 Label
1000 Förderer
  1. German Research Foundation (DFG) |
1000 Fördernummer
  1. RE 1654/2-1; SE 611/3-1
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer German Research Foundation (DFG) |
    1000 Förderprogramm -
    1000 Fördernummer RE 1654/2-1; SE 611/3-1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6410858.rdf
1000 Erstellt am 2018-10-30T12:06:03.839+0100
1000 Erstellt von 122
1000 beschreibt frl:6410858
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Fri Jan 31 00:33:02 CET 2020
1000 Objekt bearb. Tue Dec 18 12:31:56 CET 2018
1000 Vgl. frl:6410858
1000 Oai Id
  1. oai:frl.publisso.de:frl:6410858 |
1000 Sichtbarkeit Metadaten public
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