Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production

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• 作者：R. Rincent (1) (2) (3) (4)
  S. Nicolas (1)
  S. Bouchet (1) (14)
  T. Altmann (5) (6)
  D. Brunel (7)
  P. Revilla (8)
  R. A. Malvar (8)
  J. Moreno-Gonzalez (9)
  L. Campo (9)
  A. E. Melchinger (10)
  W. Schipprack (10)
  E. Bauer (11)
  C.-C. Schoen (11)
  N. Meyer (3)
  M. Ouzunova (3)
  P. Dubreuil (2)
  C. Giauffret (12)
  D. Madur (1)
  V. Combes (1)
  F. Dumas (1)
  C. Bauland (1)
  P. Jamin (1)
  J. Laborde (13)
  P. Flament (4)
  L. Moreau (1)
  A. Charcosset (1)
  
• 刊名：Theoretical and Applied Genetics
• 出版年：2014
• 出版时间：November 2014
• 年：2014
• 卷：127
• 期：11
• 页码：2313-2331
• 全文大小：3,101 KB
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• 作者单位：R. Rincent (1) (2) (3) (4)
  S. Nicolas (1)
  S. Bouchet (1) (14)
  T. Altmann (5) (6)
  D. Brunel (7)
  P. Revilla (8)
  R. A. Malvar (8)
  J. Moreno-Gonzalez (9)
  L. Campo (9)
  A. E. Melchinger (10)
  W. Schipprack (10)
  E. Bauer (11)
  C.-C. Schoen (11)
  N. Meyer (3)
  M. Ouzunova (3)
  P. Dubreuil (2)
  C. Giauffret (12)
  D. Madur (1)
  V. Combes (1)
  F. Dumas (1)
  C. Bauland (1)
  P. Jamin (1)
  J. Laborde (13)
  P. Flament (4)
  L. Moreau (1)
  A. Charcosset (1)
  
  1. UMR de Génétique Végétale, INRA, Université Paris-Sud, CNRS, AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France
  2. BIOGEMMA, Genetics and Genomics in Cereals, 63720, Chappes, France
  3. KWS Saat AG, Grimsehlstr 31, 37555, Einbeck, Germany
  4. Limagrain, site d’ULICE, av G. Gershwin, BP173, 63204, Riom Cedex, France
  14. Department of Agronomy, Throckmorton Plant Science Center, Kansas State University, Manhattan, KS, 66506, USA
  5. Max-Planck Institute for Molecular Plant Physiology, 14476, Potsdam-Golm, Germany
  6. Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Gatersleben, Germany
  7. INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057, Evry, France
  8. Misión Biológica de Galicia, Spanish National Research Council (CSIC), Apartado 28, 36080, Pontevedra, Spain
  9. Centro de Investigaciones Agrarias de Mabegondo, Apartado 10, 15080, La Coruna, Spain
  10. Institute of Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, Fruwirthstr.21, 70599, Stuttgart, Germany
  11. Plant Breeding, Technische Universit?t München, 85354, Freising, Germany
  12. INRA/Université des Sciences et Technologies de Lille, UMR1281, Stress Abiotiques et Différenciation des Végétaux Cultivés, Estrées-Mons, B.P. 136, 80203, Péronne Cedex, France
  13. INRA Stn Expt Mais, 40590, St Martin De Hinx, France
  
• ISSN：1432-2242

文摘

Key message Genetic and phenotypic analysis of two complementary maize panels revealed an important variation for biomass yield. Flowering and biomass QTL were discovered by association mapping in both panels. Abstract The high whole plant biomass productivity of maize makes it a potential source of energy in animal feeding and biofuel production. The variability and the genetic determinism of traits related to biomass are poorly known. We analyzed two highly diverse panels of Dent and Flint lines representing complementary heterotic groups for Northern Europe. They were genotyped with the 50?k SNP-array and phenotyped as hybrids (crossed to a tester of the complementary pool) in a western European field trial network for traits related to flowering time, plant height, and biomass. The molecular information revealed to be a powerful tool for discovering different levels of structure and relatedness in both panels. This study revealed important variation and potential genetic progress for biomass production, even at constant precocity. Association mapping was run by combining genotypes and phenotypes in a mixed model with a random polygenic effect. This permitted the detection of significant associations, confirming height and flowering time quantitative trait loci (QTL) found in literature. Biomass yield QTL were detected in both panels but were unstable across the environments. Alternative kinship estimator only based on markers unlinked to the tested SNP increased the number of significant associations by around 40?% with a satisfying control of the false positive rate. This study gave insights into the variability and the genetic architectures of biomass-related traits in Flint and Dent lines and suggests important potential of these two pools for breeding high biomass yielding hybrid varieties.