Jean-Luc Jannink focuses on Genetics, Quantitative trait locus, Plant breeding, Biotechnology and Selection. The concepts of his Genetics study are interwoven with issues in Trait and Computational biology. His studies deal with areas such as Genetic marker, Regression analysis, Linkage disequilibrium and Bayes' theorem as well as Quantitative trait locus.
His research in Plant breeding intersects with topics in Genetic gain and Genetic diversity. His Selection research is multidisciplinary, relying on both Evolutionary biology, Genomics and Genomic selection. His Imputation research incorporates elements of Genome and Reference genome.
His main research concerns Genetics, Quantitative trait locus, Biotechnology, Selection and Agronomy. His Quantitative trait locus study integrates concerns from other disciplines, such as Germplasm, Genetic association, Breeding program, Computational biology and Family-based QTL mapping. His work carried out in the field of Computational biology brings together such families of science as Trait and Genome.
The various areas that he examines in his Biotechnology study include Agriculture, Regression and Plant breeding. His Selection study combines topics in areas such as Genetic variation and Genomic selection. In his research, Gene mapping is intimately related to Genomics, which falls under the overarching field of Genome-wide association study.
His primary areas of study are Genetics, Genetic variation, Computational biology, Heritability and Germplasm. He is involved in the study of Genetics that focuses on Allele in particular. The study incorporates disciplines such as Evolutionary biology and Epistasis in addition to Genetic variation.
His work deals with themes such as Best linear unbiased prediction, Population structure and Genomics, which intersect with Computational biology. His study in Heritability is interdisciplinary in nature, drawing from both Genetic gain and Reference genome. His study focuses on the intersection of Biotechnology and fields such as GenBank with connections in the field of Single-nucleotide polymorphism.
His primary areas of investigation include Epistasis, Genetic variation, Genome, Agronomy and Evolutionary biology. His Epistasis research integrates issues from Chromosome and Haplotype. His Genetic variation research is multidisciplinary, incorporating perspectives in In silico, Intraspecific competition, Gene–environment interaction and Genomics.
His research investigates the connection between Wheat grain and topics such as Genomic selection that intersect with problems in Quantitative trait locus. His Gene study results in a more complete grasp of Genetics. His Genetics research focuses on Genetic load and how it relates to Plant breeding.
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Development of High-Density Genetic Maps for Barley and Wheat Using a Novel Two-Enzyme Genotyping-by-Sequencing Approach
Jesse A. Poland;Jesse A. Poland;Patrick J. Brown;Mark E. Sorrells;Jean Luc Jannink;Jean Luc Jannink.
PLOS ONE (2012)
Genomic Selection for Crop Improvement
Elliot L. Heffner;Mark E. Sorrells;Jean-Luc Jannink.
Crop Science (2009)
Genomic selection in plant breeding: from theory to practice.
Jean Luc Jannink;Aaron J. Lorenz;Hiroyoshi Iwata.
Briefings in Functional Genomics (2010)
Genomic Selection in Wheat Breeding using Genotyping-by-Sequencing
Jesse A. Poland;Jeffrey Endelman;Julie Dawson;Jessica Rutkoski.
The Plant Genome (2012)
Genomic Selection in Plant Breeding: A Comparison of Models
Nicolas Heslot;Nicolas Heslot;Hsiao-Pei Yang;Mark E. Sorrells;Jean-Luc Jannink.
Crop Science (2012)
Plant Breeding with Genomic Selection: Gain per Unit Time and Cost
Elliot L. Heffner;Aaron J. Lorenz;Jean Luc Jannink;Mark E. Sorrells.
Crop Science (2010)
Genomic Selection in Plant Breeding. Knowledge and Prospects.
Aaron J. Lorenz;Shiaoman Chao;Franco G. Asoro;Elliot L. Heffner.
Advances in Agronomy (2011)
Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines.
Jennifer Spindel;Hasina Begum;Deniz Akdemir;Parminder Virk.
PLOS Genetics (2015)
Factors Affecting Accuracy From Genomic Selection in Populations Derived From Multiple Inbred Lines: A Barley Case Study
Shengqiang Zhong;Jack C.M. Dekkers;Rohan Luigi Fernando;Jean-Luc Jannink.
Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program
Elliot L. Heffner;Jean-Luc Jannink;Mark E. Sorrells.
The Plant Genome (2011)
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