What is she best known for?
The fields of study she is best known for:
- Gene
- Genetics
- Agriculture
Genetics, Plant disease resistance, Gene, Oryza sativa and Quantitative trait locus are her primary areas of study.
Genome, Genetic marker, Restriction fragment length polymorphism, Haplotype and Xanthomonas oryzae are the primary areas of interest in her Genetics study.
Her research is interdisciplinary, bridging the disciplines of Allele and Plant disease resistance.
Her Oryza sativa research includes themes of Genetic variability and Botany.
The Quantitative trait locus study combines topics in areas such as Expressed sequence tag, Gene mapping and Genetic analysis.
Her study in Gene mapping is interdisciplinary in nature, drawing from both Pyricularia, Genetic linkage, Locus and Genetic architecture.
Her most cited work include:
- RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar (495 citations)
- Maize HapMap2 identifies extant variation from a genome in flux (487 citations)
- Shades of gray: the world of quantitative disease resistance. (450 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Genetics, Plant disease resistance, Quantitative trait locus, Blight and Agronomy.
Her is involved in several facets of Genetics study, as is seen by her studies on Gene, Restriction fragment length polymorphism, Gene mapping, Genetic marker and Allele.
Her Gene research focuses on Cultivar and how it relates to Poaceae.
Her Plant disease resistance research incorporates elements of Setosphaeria turcica, Resistance, Locus, Inbred strain and Candidate gene.
As part of the same scientific family, Rebecca Nelson usually focuses on Quantitative trait locus, concentrating on Nested association mapping and intersecting with Genome-wide association study.
Her Agronomy study integrates concerns from other disciplines, such as Mycotoxin, Horticulture and Aflatoxin.
She most often published in these fields:
- Genetics (33.54%)
- Plant disease resistance (24.68%)
- Quantitative trait locus (15.82%)
What were the highlights of her more recent work (between 2017-2021)?
- Agriculture (7.59%)
- Genetics (33.54%)
- Aflatoxin (12.66%)
In recent papers she was focusing on the following fields of study:
Rebecca Nelson spends much of her time researching Agriculture, Genetics, Aflatoxin, Food security and Plant disease resistance.
Her study in Genetics focuses on Quantitative trait locus, Setosphaeria turcica, Genotype and Fumonisin.
Her Quantitative trait locus research is multidisciplinary, incorporating elements of Inoculation, Nested association mapping, Fusarium, Introgression and Inbred strain.
Her Aflatoxin research is multidisciplinary, incorporating perspectives in Husk, Contamination, Food safety and Agronomy.
Her work in the fields of Food systems overlaps with other areas such as Health policy.
Her Plant disease resistance study combines topics from a wide range of disciplines, such as Nematode, Pathogen, Crop protection and Resistance.
Between 2017 and 2021, her most popular works were:
- Navigating complexity to breed disease-resistant crops. (103 citations)
- Image set for deep learning: field images of maize annotated with disease symptoms. (27 citations)
- Autonomous Detection of Plant Disease Symptoms Directly from Aerial Imagery (17 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Agriculture
- Genetics
Her scientific interests lie mostly in Plant disease, Deep learning, Artificial intelligence, Field and Cartography.
She works mostly in the field of Deep learning, limiting it down to topics relating to Convolutional neural network and, in certain cases, F1 score and Scale.
Field and Set are two areas of study in which Rebecca Nelson engages in interdisciplinary work.
Her work deals with themes such as Aerial imagery and Genome, which intersect with Cartography.
Rebecca Nelson has researched Machine learning in several fields, including Segmentation, Blight and Conditional random field.
In her research, Cochliobolus heterostrophus is intimately related to Image processing, which falls under the overarching field of Orientation.
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