What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Quantitative trait locus, Hordeum vulgare, Genetics, Allele and Introgression.
His Quantitative trait locus research is multidisciplinary, incorporating elements of Powdery mildew, Agronomy, Genetic variation and Backcrossing.
His study in Agronomy is interdisciplinary in nature, drawing from both Growth curve and Genetic architecture.
His research integrates issues of Blumeria graminis and Doubled haploidy in his study of Hordeum vulgare.
Restriction fragment length polymorphism, Vernalization and Gene are subfields of Genetics in which his conducts study.
In his study, Apex, Chromosomal region and Selfing is strongly linked to Genotype, which falls under the umbrella field of Allele.
His most cited work include:
- Construction of an RFLP map of barley. (494 citations)
- Advanced backcross QTL analysis in barley (Hordeum vulgare L.). (221 citations)
- High-throughput phenotyping to detect drought tolerance QTL in wild barley introgression lines (155 citations)
What are the main themes of his work throughout his whole career to date?
Klaus Pillen focuses on Quantitative trait locus, Genetics, Allele, Agronomy and Hordeum vulgare.
His Quantitative trait locus research is multidisciplinary, incorporating perspectives in Cultivar, Nested association mapping, Backcrossing, Introgression and Gene pool.
The concepts of his Introgression study are interwoven with issues in Shoot and Drought tolerance.
His study explores the link between Allele and topics such as Single-nucleotide polymorphism that cross with problems in Genomics.
His studies examine the connections between Agronomy and genetics, as well as such issues in Genetic diversity, with regards to Population genetics.
His Hordeum vulgare study contributes to a more complete understanding of Botany.
He most often published in these fields:
- Quantitative trait locus (55.81%)
- Genetics (52.71%)
- Allele (37.98%)
What were the highlights of his more recent work (between 2018-2021)?
- Quantitative trait locus (55.81%)
- Nested association mapping (17.05%)
- Genetics (52.71%)
In recent papers he was focusing on the following fields of study:
Klaus Pillen spends much of his time researching Quantitative trait locus, Nested association mapping, Genetics, Allele and Agronomy.
Klaus Pillen combines subjects such as Resistance, Cultivar, Septoria and Genetic diversity with his study of Quantitative trait locus.
His study in the field of Gene, Backcrossing and Genetic analysis also crosses realms of Phenylpropanoid and Metabolome.
His Gene research is multidisciplinary, relying on both Domestication and Hordeum vulgare.
His Allele study incorporates themes from Evolutionary biology, Adaptation, Horticulture and Plant physiology.
The Agronomy study combines topics in areas such as Nutrient and Introgression.
Between 2018 and 2021, his most popular works were:
- Barley yield formation under abiotic stress depends on the interplay between flowering time genes and environmental cues. (31 citations)
- Genome-wide association of barley plant growth under drought stress using a nested association mapping population. (20 citations)
- Wild barley serves as a source for biofortification of barley grains (11 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Nested association mapping, Agronomy, Cultivar, Allele and Crop yield.
His Nested association mapping study combines topics from a wide range of disciplines, such as Crop species, Population bottleneck, Genomics, Flowering time and Single-nucleotide polymorphism.
In his papers, he integrates diverse fields, such as Agronomy and Biofortification.
Klaus Pillen interconnects Quantitative trait locus and Abiotic component in the investigation of issues within Cultivar.
His research in Quantitative trait locus intersects with topics in Genetic diversity, Hordeum vulgare, Gibberellin, Phenomics and Drought tolerance.
His work focuses on many connections between Allele and other disciplines, such as Candidate gene, that overlap with his field of interest in Introgression.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
