Jutta Ahlemeyer
University of Giessen
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Featured researches published by Jutta Ahlemeyer.
Euphytica | 2005
Frank Ordon; Jutta Ahlemeyer; Kay Werner; Wolfgang Köhler; Wolfgang Friedt
SummaryDuring the last decades extensive progress has been achieved in winter barley breeding with respect to both, yield and resistance to fungal and viral diseases. This progress is mainly due to the efficient use of the genetic diversity present within high yielding adapted cultivars and – with respect to resistance – to the extensive evaluation of genetic resources followed by genetic analyses and introgression of respective genes by sexual recombination. Detailed knowledge on genetic diversity present on the molecular level regarding specific traits as well as on the whole genome level may enhance barley breeding today by facilitating efficient selection of parental lines and marker assisted selection procedures. In the present paper the state of the art with respect to virus diseases, i.e. Barley mild mosaic virus, Barley yellow mosaic virus, and Barley yellow dwarf virus is briefly reviewed and first results on a project aiming on a genome wide estimation of genetic diversity which in combination with data on yield and additional agronomic traits may facilitate the detection of marker trait associations and a more efficient selection of parental genotypes are presented. By field tests of 49 two-rowed and 64 six-rowed winter barley cultivars the genetic gain in yield for the period 1970–2003 was estimated at 54.6 kg ha−1 year−1 (r2 = 0.567) for the six-rowed cultivars and at 37.5 kg ha−1 year−1 (r2 = 0.621) for the two-rowed cultivars. Analysis of 30 SSRs revealed a non-homogenous allele distribution between two and six-rowed cultivars and changes of allele frequencies in relation to the time of release. By PCoA a separation between two and six-rowed cultivars was observed but no clear cut differentiation in relation to the time of release. In the two-rowed cultivars an increase in genetic diversity (DI) from older to newly released cultivars was detected.
Theoretical and Applied Genetics | 2017
Patrick Thorwarth; Jutta Ahlemeyer; Anne-Marie Bochard; Kerstin Krumnacker; Hubert Blümel; Eberhard Laubach; Nadine Knöchel; László Cselényi; Frank Ordon; Karl Schmid
Key messageGenomic prediction was evaluated in German winter barley breeding lines. In this material, prediction ability is strongly influenced by population structure and main determinant of prediction ability is the close genetic relatedness of the breeding material.AbstractTo ensure breeding progress under changing environmental conditions the implementation and evaluation of new breeding methods is of crucial importance. Modern breeding approaches like genomic selection may significantly accelerate breeding progress. We assessed the potential of genomic prediction in a training population of 750 genotypes, consisting of multiple six-rowed winter barley (Hordeum vulgare L.) elite material families and old cultivars, which reflect the breeding history of barley in Germany. Crosses of parents selected from the training set were used to create a set of double-haploid families consisting of 750 genotypes. Those were used to confirm prediction ability estimates based on a cross-validation with the training set material using 11 different genomic prediction models. Population structure was inferred with dimensionality reduction methods like discriminant analysis of principle components and the influence of population structure on prediction ability was investigated. In addition to the size of the training set, marker density is of crucial importance for genomic prediction. We used genome-wide linkage disequilibrium and persistence of linkage phase as indicators to estimate that 11,203 evenly spaced markers are required to capture all QTL effects. Although a 9k SNP array does not contain a sufficient number of polymorphic markers for long-term genomic selection, we obtained fairly high prediction accuracies ranging from 0.31 to 0.71 for the traits earing, hectoliter weight, spikes per square meter, thousand kernel weight and yield and show that they result from the close genetic relatedness of the material. Our work contributes to designing long-term genetic prediction programs for barley breeding.
Theoretical and Applied Genetics | 2007
H. Adoukonou-Sagbadja; Carola Wagner; A. Dansi; Jutta Ahlemeyer; O. Daïnou; K. Akpagana; Frank Ordon; Wolfgang Friedt
Archive | 2007
Wolfgang Friedt; Rod J. Snowdon; Frank Ordon; Jutta Ahlemeyer
Molecular Breeding | 2012
J. Rode; Jutta Ahlemeyer; Wolfgang Friedt; Frank Ordon
Molecular Breeding | 2016
Tina Lüders; Jutta Ahlemeyer; J. Förster; Jens Weyen; Elisabeth Roßa; Viktor Korzun; Jeannette Lex; Wolfgang Friedt; Frank Ordon
Journal of Applied Genetics | 2014
Jeannette Lex; Jutta Ahlemeyer; Wolfgang Friedt; Frank Ordon
Plant and Animal Genome XXI Conference | 2013
R. Snowwon; D. Stelling; S. Weise; M. Wolf; Uwe Scholz; Z. Micic; U. Schurr; A. Abbadi; F. Fiorani; J. Leon; P. Duchscherer; K.A. Nagel; N. von Wirén; F. Ordon; H. Becker; Jutta Ahlemeyer; G. Leckband; Benjamin Stich; M. Hinze; F. Breuer; J. Li; S. Rae; K. Brummermann; S. Abel; B. Samans
Plant 2030 Status Seminar : Conference Documents | 2013
Jutta Ahlemeyer; A.-M. Bochard; K. Krumnacker; Eberhard Laubach; H. Blümel; P.-M. Le Roux; L. Cselenyi; Karl Schmid; Patrick Thorwarth; Andreas Graner; Benjamin Kilian; S. Dhanagond; Uwe Scholz; S. Weise; B. Boylu; N. von Wiren; Benjamin D. Gruber; Nadine Knöchel; Frank Ordon
Plant & Animal Genomes XIX Conference, Workshop W305: Genomics-Assisted Breeding | 2011
Frank Ordon; J. Rode; T. Lange; Jutta Ahlemeyer; F. Urban; Viktor Korzun; J. Weyen; J. Förster; Wolfgang Friedt