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Journal Abstract Search

244 related items for PubMed ID: 19916002

  • 1. Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds.
    Schrag TA, Möhring J, Melchinger AE, Kusterer B, Dhillon BS, Piepho HP, Frisch M.
    Theor Appl Genet; 2010 Jan; 120(2):451-61. PubMed ID: 19916002
    [Abstract] [Full Text] [Related]

  • 2. Molecular marker-based prediction of hybrid performance in maize using unbalanced data from multiple experiments with factorial crosses.
    Schrag TA, Möhring J, Maurer HP, Dhillon BS, Melchinger AE, Piepho HP, Sørensen AP, Frisch M.
    Theor Appl Genet; 2009 Feb; 118(4):741-51. PubMed ID: 19048224
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  • 3. Prediction of single-cross hybrid performance for grain yield and grain dry matter content in maize using AFLP markers associated with QTL.
    Schrag TA, Melchinger AE, Sørensen AP, Frisch M.
    Theor Appl Genet; 2006 Oct; 113(6):1037-47. PubMed ID: 16896712
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  • 4. Prediction of single-cross hybrid performance in maize using haplotype blocks associated with QTL for grain yield.
    Schrag TA, Maurer HP, Melchinger AE, Piepho HP, Peleman J, Frisch M.
    Theor Appl Genet; 2007 May; 114(8):1345-55. PubMed ID: 17323040
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  • 5. Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize.
    Technow F, Schrag TA, Schipprack W, Bauer E, Simianer H, Melchinger AE.
    Genetics; 2014 Aug; 197(4):1343-55. PubMed ID: 24850820
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  • 7. Grouping of tropical mid-altitude maize inbred lines on the basis of yield data and molecular markers.
    Menkir A, Melake-Berhan A, The C, Ingelbrecht I, Adepoju A.
    Theor Appl Genet; 2004 May; 108(8):1582-90. PubMed ID: 14985970
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  • 8. Reciprocal Genetics: Identifying QTL for General and Specific Combining Abilities in Hybrids Between Multiparental Populations from Two Maize (Zea mays L.) Heterotic Groups.
    Giraud H, Bauland C, Falque M, Madur D, Combes V, Jamin P, Monteil C, Laborde J, Palaffre C, Gaillard A, Blanchard P, Charcosset A, Moreau L.
    Genetics; 2017 Nov; 207(3):1167-1180. PubMed ID: 28971957
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  • 9. Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids.
    Acosta-Pech R, Crossa J, de Los Campos G, Teyssèdre S, Claustres B, Pérez-Elizalde S, Pérez-Rodríguez P.
    Theor Appl Genet; 2017 Jul; 130(7):1431-1440. PubMed ID: 28401254
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  • 12. Genetic diversity for RFLPs in European maize inbreds : II. Relation to performance of hybrids within versus between heterotic groups for forage traits.
    Melchinger AE, Boppenmaier J, Dhillon BS, Pollmer WG, Herrmann RG.
    Theor Appl Genet; 1992 Aug; 84(5-6):672-81. PubMed ID: 24201356
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  • 14. Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects.
    Technow F, Riedelsheimer C, Schrag TA, Melchinger AE.
    Theor Appl Genet; 2012 Oct; 125(6):1181-94. PubMed ID: 22733443
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  • 15. Across-years prediction of hybrid performance in maize using genomics.
    Schrag TA, Schipprack W, Melchinger AE.
    Theor Appl Genet; 2019 Apr; 132(4):933-946. PubMed ID: 30498894
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  • 17. Large-Scale Analysis of Combining Ability and Heterosis for Development of Hybrid Maize Breeding Strategies Using Diverse Germplasm Resources.
    Yu K, Wang H, Liu X, Xu C, Li Z, Xu X, Liu J, Wang Z, Xu Y.
    Front Plant Sci; 2020 Apr; 11():660. PubMed ID: 32547580
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  • 18. Prediction of maize double-cross hybrids using the best linear unbiased prediction with microsatellite marker information.
    Balestre M, Von Pinho RG, Souza JC.
    Genet Mol Res; 2011 Jan 11; 10(1):25-35. PubMed ID: 21264813
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  • 19. Prediction of additive, epistatic, and dominance effects using models accounting for incomplete inbreeding in parental lines of hybrid rye and sugar beet.
    Kristensen PS, Sarup P, Fé D, Orabi J, Snell P, Ripa L, Mohlfeld M, Chu TT, Herrström J, Jahoor A, Jensen J.
    Front Plant Sci; 2023 Jan 11; 14():1193433. PubMed ID: 38162304
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