Area of research
Plant Science · Genetics
Research interest
Research interests include Genetics and Plant Breeding, Genetic Mapping and Diversity in Plants and Animals, Genetic and phenotypic traits in livestock, and Wheat and Barley Genetics and Pathology.
A pangenome and pantranscriptome of hexaploid oat
Field trial analyses of wheat and cassava benefit from spatial correction
GrainGenes: a data-rich repository for small grains genetics and genomics
Breedbase: a digital ecosystem for modern plant breeding
Exploring genotype by environment interaction on cassava yield and yield related traits using classical statistical methods
Response to Early Generation Genomic Selection for Yield in Wheat
Parsimonious genotype by environment interaction covariance models for cassava (Manihot esculenta)
Increasing cassava root yield: Additive-dominant genetic models for selection of parents and clones
Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices
Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations
Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment
Development of the Wheat Practical Haplotype Graph database as a resource for genotyping data storage and genotype imputation
Development of the Wheat Practical Haplotype Graph Database as a Resource for Genotyping Data Storage and Genotype Imputation
Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava
High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage
Heritable temporal gene expression patterns correlate with metabolomic seed content in developing hexaploid oat seed
Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat ( <i>Avena sativa</i> L.)
Genome-wide association mapping and genomic prediction for CBSD resistance in Manihot esculenta
Genome‐Wide Association Study of Resistance to Cassava Green Mite Pest and Related Traits in Cassava
Multitrait, Random Regression, or Simple Repeatability Model in High‐Throughput Phenotyping Data Improve Genomic Prediction for Wheat Grain Yield
Prospects for Genomic Selection in Cassava Breeding
Genome‐Wide Association Mapping of Correlated Traits in Cassava: Dry Matter and Total Carotenoid Content
Whole-genome prediction of reaction norms to environmental stress in bread wheat (Triticum aestivum L.) by genomic random regression
Accuracies of univariate and multivariate genomic prediction models in African cassava
Rapid analyses of dry matter content and carotenoids in fresh cassava roots using a portable visible and near infrared spectrometer (Vis/NIRS)
Introduction to a Special Issue on Genotype by Environment Interaction
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea
Genome‐Wide Association and Prediction Reveals Genetic Architecture of Cassava Mosaic Disease Resistance and Prospects for Rapid Genetic Improvement
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