Diego Jarquin

Sparse designs for genomic selection using multi-environment data

Manje Gowda, Juan Burgueño, José Crossa, 2020 .

Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping Data.

Gota Morota, Diego Jarquin, Hiroyoshi Iwata, 2019, Methods in molecular biology.

Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea

Jose Crossa, Abhishek Rathore, Elizabeth Jones, 2018, Scientific Reports.

Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction

Diego Jarquin, Reyna Persa, Martin Grondona, 2021, Agriculture.

Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets

Patrick S. Schnable, Seth C. Murray, Joseph L. Gage, 2020, BMC Research Notes.