Lorenz Hartl

Dr. Lorenz Hartl

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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 June 2005 in Theoretical and Applied Genetics
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Journal Article
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MSM. Schmolke
M. Schmolke
GZG. Zimmermann
G. Zimmermann
HBHermann Buerstmayr
Hermann Buerstmayr
GSG. Schweizer
G. Schweizer
TMThomas Miedaner
Thomas Miedaner
LHLorenz Hartl
Lorenz Hartl

1 August 2008 in Theoretical and Applied Genetics
Verified
Journal Article
Closed access
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JHJosef Holzapfel
Josef Holzapfel
HVHans-Henning Voss
Hans-Henning Voss
TMThomas Miedaner
Thomas Miedaner
Viktor KorzunViktor Korzun
Viktor Korzun
JHJennifer Häberle
Jennifer Häberle
LHLorenz Hartl
Lorenz Hartl

18 August 2022 in Plants
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Journal Article
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MGManuel Geyer
Manuel Geyer
Volker MohlerVolker Mohler
Volker Mohler
LHLorenz Hartl
Lorenz Hartl
Grain protein content (GPC) is one of the most important criteria to determine the quality of common wheat (Triticum aestivum). One of the major obstacles for bread wheat production is the negative correlation between GPC and grain yield (GY). Previous studies demonstrated that the deviation from this inverse relationship is highly heritable. However, little is known about the genetics controlling these deviations in common wheat. To fill this gap, we performed quantitative trait locus (QTL) analysis for GY, GPC, and four derived GY-GPC indices using an eight-way multiparent advanced generation intercross population comprising 394 lines. Interval mapping was conducted using phenotypic data from up to nine environments and genotypic data from a 20k single-nucleotide polymorphism array. The four indices were highly heritable (0.76–0.88) and showed distinct correlations to GY and GPC. Interval mapping revealed that GY, GPC, and GY-GPC indices were controlled by 6, 12, and 12 unique QTL, of which each explained only a small amount of phenotypic variance (R2 ≤ 10%). Ten of the 12 index QTL were independent of loci affecting GY and GPC. QTL regions harboured several candidate genes, including Rht-1, WAPO-A1, TaTEF-7A, and NRT2.6-7A. The study confirmed the usefulness of indices to mitigate the inverse GY-GPC relationship in breeding, though the selection method should reflect their polygenic inheritance.

26 August 2022 in Theoretical and Applied Genetics
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Journal Article
Open access
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FSFahimeh Shahinnia
Fahimeh Shahinnia
MGManuel Geyer
Manuel Geyer
FSFriederike Schürmann
Friederike Schürmann
SRSabine Rudolphi
Sabine Rudolphi
JHJosef Holzapfel
Josef Holzapfel
LHLorenz Hartl
Lorenz Hartl
Key message: We found two loci on chromosomes 2BS and 6AL that significantly contribute to stripe rust resistance in current European winter wheat germplasm. Stripe or yellow rust, caused by the fungus Puccinia striiformis Westend f. sp. tritici, is one of the most destructive wheat diseases. Sustainable management of wheat stripe rust can be achieved through the deployment of rust resistant cultivars. To detect effective resistance loci for use in breeding programs, an association mapping panel of 230 winter wheat cultivars and breeding lines from Northern and Central Europe was employed. Genotyping with the Illumina® iSelect® 25 K Infinium® single nucleotide polymorphism (SNP) genotyping array yielded 8812 polymorphic markers. Structure analysis revealed two subpopulations with 92 Austrian breeding lines and cultivars, which were separated from the other 138 genotypes from Germany, Norway, Sweden, Denmark, Poland, and Switzerland. Genome-wide association study for adult plant stripe rust resistance identified 12 SNP markers on six wheat chromosomes which showed consistent effects over several testing environments. Among these, two marker loci on chromosomes 2BS (RAC875_c1226_652) and 6AL (Tdurum_contig29607_413) were highly predictive in three independent validation populations of 1065, 1001, and 175 breeding lines. Lines with the resistant haplotype at both loci were nearly free of stipe rust symptoms. By using mixed linear models with those markers as fixed effects, we could increase predictive ability in the three populations by 0.13–0.46 compared to a standard genomic best linear unbiased prediction approach. The obtained results facilitate an efficient selection for stripe rust resistance against the current pathogen population in the Northern and Central European winter wheat gene pool.

1 September 2007 in Crop Science
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Journal Article
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JHJennifer Häberle
Jennifer Häberle
MSMichael Schmolke
Michael Schmolke
GSGünther Schweizer
Günther Schweizer
VKViktor Korzun
Viktor Korzun
EEErhard Ebmeyer
Erhard Ebmeyer
LHLorenz Hartl
Lorenz Hartl

25 March 2014 in Plant Breeding
Verified
Journal Article
Closed access
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Volker MohlerVolker Mohler
Volker Mohler
TATheresa Albrecht
Theresa Albrecht
KMKolumbina Mrva
Kolumbina Mrva
GSG Schweizer
G Schweizer
LHLorenz Hartl
Lorenz Hartl