What is he best known for?
The fields of study he is best known for:
Heritability, Genetic correlation, Veterinary medicine, Genetics and Salmo are his primary areas of study.
The various areas that he examines in his Heritability study include Statistics, Fishery, Animal breeding and Sire.
His Linear model, Threshold model and Regression analysis study in the realm of Statistics interacts with subjects such as Residual.
Jørgen Ødegård combines subjects such as Purebred, Selective breeding and Animal science with his study of Genetic correlation.
Many of his research projects under Genetics are closely connected to Trait with Trait, tying the diverse disciplines of science together.
His studies in Salmo integrate themes in fields like Genetic analysis and Bacterial disease.
His most cited work include:
- Methodology for genetic evaluation of disease resistance in aquaculture species: challenges and future prospects (138 citations)
- Genomic prediction in an admixed population of Atlantic salmon (Salmo salar) (122 citations)
- Quantitative trait loci affecting clinical mastitis and somatic cell count in dairy cattle. (112 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Heritability, Genetics, Genetic correlation, Statistics and Veterinary medicine.
Jørgen Ødegård interconnects Genetic variation, Selection, Threshold model and Sire in the investigation of issues within Heritability.
His Quantitative trait locus, Genotype, Single-nucleotide polymorphism and Allele study, which is part of a larger body of work in Genetics, is frequently linked to Trait, bridging the gap between disciplines.
The study incorporates disciplines such as Selective breeding, Animal science and Aquaculture in addition to Genetic correlation.
His work on Linear model, Mixture model and Bayesian probability as part of general Statistics research is frequently linked to Residual, thereby connecting diverse disciplines of science.
His Veterinary medicine research incorporates themes from Genetic analysis and Bacterial disease.
He most often published in these fields:
- Heritability (38.02%)
- Genetics (27.27%)
- Genetic correlation (26.45%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetic correlation (26.45%)
- Single-nucleotide polymorphism (9.09%)
- Genetics (27.27%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Genetic correlation, Single-nucleotide polymorphism, Genetics, Veterinary medicine and Rainbow trout.
His work in Genetic correlation tackles topics such as Multivariate statistics which are related to areas like Predictive modelling, Oreochromis and Genetic gain.
His study involves Quantitative trait locus and Ploidy, a branch of Genetics.
His Veterinary medicine research focuses on Catfish and how it connects with Genetic analysis, Challenge tests and Bacteria.
His study in Genetic analysis is interdisciplinary in nature, drawing from both Necrosis, Antibiotics, Linear model and Heritability.
His work carried out in the field of Heritability brings together such families of science as Quantitative genetics, Selective breeding and Animal science.
Between 2018 and 2021, his most popular works were:
- Beyond large-effect loci: large-scale GWAS reveals a mixed large-effect and polygenic architecture for age at maturity of Atlantic salmon (19 citations)
- Genomic prediction for commercial traits using univariate and multivariate approaches in Nile tilapia (Oreochromis niloticus) (13 citations)
- Selection for feed efficiency in Atlantic salmon using individual indicator traits based on stable isotope profiling (8 citations)
In his most recent research, the most cited papers focused on:
Jørgen Ødegård mainly investigates Animal science, Feed conversion ratio, Genetic correlation, Single-nucleotide polymorphism and Nile tilapia.
His studies deal with areas such as Salmo and Aquaculture as well as Animal science.
His research on Feed conversion ratio frequently connects to adjacent areas such as Protein degradation.
His Genetic correlation study combines topics from a wide range of disciplines, such as Predictive modelling, Statistics, Multivariate statistics and Genetic gain.
He has included themes like Evolutionary biology, Genetic architecture and Life history theory in his Single-nucleotide polymorphism study.
His Nile tilapia research integrates issues from Selection, Veterinary medicine, Bayesian probability, Bacterial disease and Genotype.
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