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Journal Abstract Search

409 related items for PubMed ID: 28971957

  • 1. 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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  • 2. Linkage Analysis and Association Mapping QTL Detection Models for Hybrids Between Multiparental Populations from Two Heterotic Groups: Application to Biomass Production in Maize (Zea mays L.).
    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.
    G3 (Bethesda); 2017 Nov 06; 7(11):3649-3657. PubMed ID: 28963164
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  • 4. Linkage disequilibrium with linkage analysis of multiline crosses reveals different multiallelic QTL for hybrid performance in the flint and dent heterotic groups of maize.
    Giraud H, Lehermeier C, Bauer E, Falque M, Segura V, Bauland C, Camisan C, Campo L, Meyer N, Ranc N, Schipprack W, Flament P, Melchinger AE, Menz M, Moreno-González J, Ouzunova M, Charcosset A, Schön CC, Moreau L.
    Genetics; 2014 Dec 06; 198(4):1717-34. PubMed ID: 25271305
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  • 6. 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 06; 113(6):1037-47. PubMed ID: 16896712
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  • 8. General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents.
    Larièpe A, Moreau L, Laborde J, Bauland C, Mezmouk S, Décousset L, Mary-Huard T, Fiévet JB, Gallais A, Dubreuil P, Charcosset A.
    Theor Appl Genet; 2017 Feb 06; 130(2):403-417. PubMed ID: 27913832
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  • 9. 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 06; 108(8):1582-90. PubMed ID: 14985970
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  • 12. Genomic prediction of hybrid performance: comparison of the efficiency of factorial and tester designs used as training sets in a multiparental connected reciprocal design for maize silage.
    Lorenzi A, Bauland C, Mary-Huard T, Pin S, Palaffre C, Guillaume C, Lehermeier C, Charcosset A, Moreau L.
    Theor Appl Genet; 2022 Sep 06; 135(9):3143-3160. PubMed ID: 35918515
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  • 14. Portability of genomic predictions trained on sparse factorial designs across two maize silage breeding cycles.
    Lorenzi A, Bauland C, Pin S, Madur D, Combes V, Palaffre C, Guillaume C, Touzy G, Mary-Huard T, Charcosset A, Moreau L.
    Theor Appl Genet; 2024 Mar 07; 137(3):75. PubMed ID: 38453705
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  • 15. 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 07; 84(5-6):672-81. PubMed ID: 24201356
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  • 16. Dominance Effects and Functional Enrichments Improve Prediction of Agronomic Traits in Hybrid Maize.
    Ramstein GP, Larsson SJ, Cook JP, Edwards JW, Ersoz ES, Flint-Garcia S, Gardner CA, Holland JB, Lorenz AJ, McMullen MD, Millard MJ, Rocheford TR, Tuinstra MR, Bradbury PJ, Buckler ES, Romay MC.
    Genetics; 2020 May 07; 215(1):215-230. PubMed ID: 32152047
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  • 19. 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 07; 197(4):1343-55. PubMed ID: 24850820
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