Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack)

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• 作者：Katharina V. Alheit (1)
  Lucas Busemeyer (2)
  Wenxin Liu (3)
  Hans Peter Maurer (1)
  Manje Gowda (1)
  Volker Hahn (1)
  Sigrid Weissmann (4)
  Arno Ruckelshausen (2)
  Jochen C. Reif (5)
  Tobias Würschum (1)
  
• 刊名：Theoretical and Applied Genetics
• 出版年：2014
• 出版时间：January 2014
• 年：2014
• 卷：127
• 期：1
• 页码：251-260
• 全文大小：840 KB
• 作者单位：Katharina V. Alheit (1)
  Lucas Busemeyer (2)
  Wenxin Liu (3)
  Hans Peter Maurer (1)
  Manje Gowda (1)
  Volker Hahn (1)
  Sigrid Weissmann (4)
  Arno Ruckelshausen (2)
  Jochen C. Reif (5)
  Tobias Würschum (1)
  
  1. State Plant Breeding Institute, University of Hohenheim, 70593, Stuttgart, Germany
  2. Competence Centre of Applied Agricultural Engineering, University of Applied Sciences Osnabrück, Sedanstrasse 26, 49076, Osnabrück, Germany
  3. Crop Genetics and Breeding Department, China Agricultural University, Beijing, 100193, China
  4. Saatzucht Dr. Hege GbR Dom?ne Hohebuch, 74638, Waldenburg, Germany
  5. Leibnitz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Gatersleben, Germany
  
• ISSN：1432-2242

文摘

Key message QTL mapping in multiple families identifies trait-specific and pleiotropic QTL for biomass yield and plant height in triticale. Abstract Triticale shows a broad genetic variation for biomass yield which is of interest for a range of purposes, including bioenergy. Plant height is a major contributor to biomass yield and in this study, we investigated the genetic architecture underlying biomass yield and plant height by multiple-line cross QTL mapping. We employed 647 doubled haploid lines from four mapping populations that have been evaluated in four environments and genotyped with 1710 DArT markers. Twelve QTL were identified for plant height and nine for biomass yield which cross-validated explained 59.6 and 38.2?% of the genotypic variance, respectively. A major QTL for both traits was identified on chromosome 5R which likely corresponds to the dominant dwarfing gene Ddw1. In addition, we detected epistatic QTL for plant height and biomass yield which, however, contributed only little to the genetic architecture of the traits. In conclusion, our results demonstrate the potential of genomic approaches for a knowledge-based improvement of biomass yield in triticale.