What is he best known for?
The fields of study he is best known for:
Jean Beaulieu focuses on Ecology, Genetics, Single-nucleotide polymorphism, Genetic diversity and Gene.
Ecology is closely attributed to Genetic structure in his study.
His Quantitative trait locus and White investigations are all subjects of Genetics research.
His Quantitative trait locus research is multidisciplinary, incorporating elements of Genome size and Local adaptation.
Single-nucleotide polymorphism is often connected to Candidate gene in his work.
The study incorporates disciplines such as Evolutionary biology, Genetic variation, Locus and Black spruce in addition to Genetic diversity.
His most cited work include:
- Scanning the genome for gene single nucleotide polymorphisms involved in adaptive population differentiation in white spruce. (212 citations)
- Scanning the genome for gene single nucleotide polymorphisms involved in adaptive population differentiation in white spruce. (212 citations)
- Complete congruence between gene diversity estimates derived from genotypic data at enzyme and random amplified polymorphic DNA loci in black spruce (162 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Ecology, Botany, Genetic variation, Genetics and Horticulture.
His Ecology research includes elements of Gene flow, Genetic structure and Genetic diversity.
Jean Beaulieu works mostly in the field of Gene flow, limiting it down to topics relating to Mitochondrial DNA and, in certain cases, Locus.
His Genetic variation study incorporates themes from Genetic variability, Calycophyllum spruceanum, Amazon rainforest, Forestry and Heritability.
As part of one scientific family, Jean Beaulieu deals mainly with the area of Genetics, narrowing it down to issues related to the Black spruce, and often Natural selection.
His Single-nucleotide polymorphism research incorporates themes from Genotyping and Candidate gene.
He most often published in these fields:
- Ecology (38.79%)
- Botany (26.06%)
- Genetic variation (25.45%)
What were the highlights of his more recent work (between 2013-2020)?
- Botany (26.06%)
- Ecology (38.79%)
- Genetics (35.76%)
In recent papers he was focusing on the following fields of study:
Jean Beaulieu spends much of his time researching Botany, Ecology, Genetics, Horticulture and Agronomy.
His Botany study combines topics from a wide range of disciplines, such as Evolutionary biology and Genetic association.
He has researched Evolutionary biology in several fields, including Abies balsamea, Genetic structure, Pollen and Population genetics.
His Ecology study typically links adjacent topics like Gene flow.
His work deals with themes such as Statistics and Black spruce, which intersect with Genetics.
His study in Single-nucleotide polymorphism is interdisciplinary in nature, drawing from both Quantitative genetics, Candidate gene, Genetic architecture and Gene regulatory network.
Between 2013 and 2020, his most popular works were:
- Accuracy of genomic selection models in a large population of open-pollinated families in white spruce. (88 citations)
- Accuracy of genomic selection models in a large population of open-pollinated families in white spruce. (88 citations)
- Genomic selection accuracies within and between environments and small breeding groups in white spruce. (68 citations)
In his most recent research, the most cited papers focused on:
Jean Beaulieu mainly investigates Genetics, Statistics, Single-nucleotide polymorphism, Context and Regression.
His study on Genetics is mostly dedicated to connecting different topics, such as Black spruce.
The Statistics study combines topics in areas such as Genomic selection, Large population and White.
His Single-nucleotide polymorphism research incorporates elements of Genetic architecture, Gene regulatory network and Candidate gene.
His Context research incorporates a variety of disciplines, including Environmental gradient, Population genomics, Genetic diversity, Allele frequency and Gene flow.
His Regression study combines topics in areas such as Effective population size, Pedigree chart, Domestication, Allele and Gene–environment interaction.
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