What is she best known for?
The fields of study she is best known for:
- Gene
- Genetics
- Agriculture
Her primary scientific interests are in Genetics, Genetic diversity, Germplasm, Quantitative trait locus and Genetic marker.
Her Genetic diversity study combines topics in areas such as Agriculture and Ploidy.
The concepts of her Germplasm study are interwoven with issues in Genetic distance, Cultivar and Plant breeding.
Her Plant breeding research incorporates elements of Biotechnology and Introgression.
Marilyn L. Warburton has included themes like Powdery mildew, Genome-wide association study, Linkage disequilibrium, Genetic linkage and Genetic association in her Quantitative trait locus study.
Her work carried out in the field of Genetic marker brings together such families of science as Genetic variability and Genotype.
Her most cited work include:
- Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels (459 citations)
- Plant genetic resources: What can they contribute toward increased crop productivity? (357 citations)
- Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure (356 citations)
What are the main themes of her work throughout her whole career to date?
Marilyn L. Warburton mostly deals with Genetics, Genetic diversity, Germplasm, Biotechnology and Quantitative trait locus.
Her research related to Genetic marker, Single-nucleotide polymorphism, Allele, Gene and Association mapping might be considered part of Genetics.
Her Genetic diversity research integrates issues from Microsatellite, Cultivar, Genetic variation and Population genetics.
Her biological study spans a wide range of topics, including Domestication, Molecular marker, Inbred strain and Introgression.
In Biotechnology, Marilyn L. Warburton works on issues like Plant breeding, which are connected to Gene pool and Genetic variability.
Her research integrates issues of Genome-wide association study, Aspergillus flavus, Genetic linkage, Aflatoxin and Candidate gene in her study of Quantitative trait locus.
She most often published in these fields:
- Genetics (38.61%)
- Genetic diversity (36.71%)
- Germplasm (29.75%)
What were the highlights of her more recent work (between 2018-2021)?
- Quantitative trait locus (24.05%)
- Genetic diversity (36.71%)
- Allele (14.56%)
In recent papers she was focusing on the following fields of study:
Marilyn L. Warburton mainly focuses on Quantitative trait locus, Genetic diversity, Allele, Genetic architecture and Genetics.
The various areas that Marilyn L. Warburton examines in her Quantitative trait locus study include Germplasm, Epistasis, Introgression, Helianthus annuus and Adaptation.
Her Genetic diversity study incorporates themes from Bird food, Biotechnology and Genetic variation.
Her study in Biotechnology is interdisciplinary in nature, drawing from both Human pathogen, Identification and Plant breeding.
The study incorporates disciplines such as Genetic association and Genomics in addition to Genetic architecture.
The Locus and Phenotype research she does as part of her general Genetics study is frequently linked to other disciplines of science, such as Deleterious alleles, Key genes and Selection, therefore creating a link between diverse domains of science.
Between 2018 and 2021, her most popular works were:
- Leveraging GWAS data to identify metabolic pathways and networks involved in maize lipid biosynthesis (14 citations)
- Distribution of Aspergillus flavus and aflatoxin accumulation in stored maize grains across three agro-ecologies in Ghana (11 citations)
- CUBIC: an atlas of genetic architecture promises directed maize improvement (9 citations)
In her most recent research, the most cited papers focused on:
Her primary areas of investigation include Computational biology, Botany, Drought tolerance, Drought resistance and Helianthus annuus.
The Computational biology study combines topics in areas such as Epistasis, Heritability, Human genetics and Genetic architecture.
Her Botany study frequently links to other fields, such as 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.
