3 Works

Data from: Relatedness severely impacts accuracy of marker- assisted selection for disease resistance in hybrid wheat

Jochen C. Reif, Yusheng Zhao, Manje Gowda, Tobias Würschum, C. Friedrich H. Longin, Thomas Miedaner, Erhard Ebmeyer, Ralf Schachschneider, Johannes Schacht, Jean-Pierre Martinant, Michael F. Mette & Ebrahim Kazmann
The accuracy of genomic selection depends on the relatedness between the members of the set in which marker effects are estimated based on evaluation data and the types for which performance is predicted. Here, we investigate the impact of relatedness on the performance of marker-assisted selection for fungal disease resistance in hybrid wheat. A large and diverse mapping population of 1,739 elite European winter wheat inbred lines and hybrids was evaluated for powdery mildew, leaf...

Data from: N balance and cycling of Inner Mongolia typical steppe - a comprehensive case study of grazing effects

Marcus Giese, Holger Brueck, Yingzhi Gao, Shan Lin, Markus Steffens, Ingrid Kögel-Knabner, Thomas Glindemann, Andreas Susenbeth, Friedhelm Taube, Klaus Butterbach-Bahl, Xunhua Zheng, Carsten Hoffmann, Yongfei Bai & Xingguo Han
Increasing grazing pressure and climate change affect nitrogen (N) dynamics of grassland ecosystems in the Eurasian Steppe belt with unclear consequences for future delivery of essential services such as forage production, C sequestration, and diversity conservation. The identification of key processes responsive to grazing is crucial to optimize grassland management. In this comprehensive case study of a Chinese typical steppe, we present an in-depth analysis of grazing effects on N dynamics including the balance of...

Data from: Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traits

Tobias Würschum & Thomas Kraft
Association mapping has become a widely applied genomic approach to identify quantitative trait loci (QTL) and dissect the genetic architecture of complex traits. However, approaches to assess the quality of the obtained QTL results are lacking. We therefore evaluated the potential of cross-validation in association mapping based on a large sugar beet data set. Our results show that the proportion of the population that should be used as estimation and validation sets, respectively, depends on...

Registration Year

  • 2013

Resource Types

  • Dataset


  • University of Hohenheim
  • Leibniz Centre for Agricultural Landscape Research
  • Osaka Prefecture University
  • Technical University Munich
  • Institute of Plant Genetics and Crop Plant Research
  • Chinese Academy of Sciences
  • Kiel University