Increased prediction accuracy in wheat breeding trials using a marker× environment interaction genomic selection model M Lopez-Cruz, J Crossa, D Bonnett, S Dreisigacker, J Poland, JL Jannink, ... G3: Genes, Genomes, Genetics 5 (4), 569-582, 2015 | 302 | 2015 |
Genomic prediction in maize breeding populations with genotyping-by-sequencing J Crossa, Y Beyene, S Kassa, P Pérez, JM Hickey, C Chen, ... G3: Genes, genomes, genetics 3 (11), 1903-1926, 2013 | 291 | 2013 |
Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs X Zhang, P Pérez-Rodríguez, K Semagn, Y Beyene, R Babu, ... Heredity 114 (3), 291-299, 2015 | 216 | 2015 |
META-R: A software to analyze data from multi-environment plant breeding trials G Alvarado, FM Rodríguez, A Pacheco, J Burgueño, J Crossa, M Vargas, ... The Crop Journal 8 (5), 745-756, 2020 | 208 | 2020 |
Genomic Selection for Late Blight and Common Scab Resistance in Tetraploid Potato (Solanum tuberosum) F Enciso-Rodriguez, D Douches, M Lopez-Cruz, J Coombs, ... G3: Genes, Genomes, Genetics 8 (7), 2471-2481, 2018 | 83 | 2018 |
Regularized selection indices for breeding value prediction using hyper-spectral image data M Lopez-Cruz, E Olson, G Rovere, J Crossa, S Dreisigacker, S Mondal, ... Scientific Reports 10 (1), 8195, 2020 | 44 | 2020 |
Optimal breeding-value prediction using a sparse selection index M Lopez-Cruz, G De Los Campos Genetics 218 (1), iyab030, 2021 | 24 | 2021 |
Genomic selection for optimum index with dry biomass yield, dry mass fraction of fresh material, and plant height in biomass sorghum E Habyarimana, M Lopez-Cruz, FS Baloch Genes 11 (1), 61, 2020 | 19 | 2020 |
Developing self-compatible diploid potato germplasm through recurrent selection M Alsahlany, F Enciso-Rodriguez, M Lopez-Cruz, J Coombs, DS Douches Euphytica 217 (3), 47, 2021 | 16 | 2021 |
Genomic Selection for Antioxidant Production in a Panel of Sorghum bicolor and S. bicolor × S. halepense Lines E Habyarimana, M Lopez-Cruz Genes 10 (11), 841, 2019 | 16 | 2019 |
Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices M Lopez-Cruz, Y Beyene, M Gowda, J Crossa, P Pérez-Rodríguez, ... Heredity 127 (5), 423-432, 2021 | 11 | 2021 |
Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America M Lopez-Cruz, FM Aguate, JD Washburn, N de Leon, SM Kaeppler, ... Nature Communications 14 (1), 6904, 2023 | 5 | 2023 |
Genomes to fields 2022 maize genotype by environment prediction competition DC Lima, JD Washburn, JI Varela, Q Chen, JL Gage, MC Romay, ... BMC Research Notes 16 (1), 148, 2023 | 5 | 2023 |
Genomic selection for morphological and yield-related traits using genome-wide SNPs in oil palm GA Garzón-Martínez, JA Osorio-Guarín, LP Moreno, S Bastidas, ... Molecular Breeding 42 (12), 71, 2022 | 2 | 2022 |
Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data M Lopez‐Cruz, S Dreisigacker, L Crespo‐Herrera, AR Bentley, R Singh, ... The Plant Genome 15 (4), e20254, 2022 | 2 | 2022 |
Phenotypic and genetic associations between feed efficiency and FTIR milk-spectra HO Toledo-Alvarado, RJ Tempelman, M Lopez-Cruz, MJ VandeHaar, ... Proceedings of 12th World Congress on Genetics Applied to Livestock …, 2022 | 1 | 2022 |
Genetic image-processing using regularized selection indices M Lopez-Cruz, E Olson, G Rovere, J Crossa, S Dreisigacker, S Mondal, ... bioRxiv, 625251, 2019 | 1 | 2019 |
Package ‘SFSI’ M Lopez-Cruz, G de los Campos, P Perez-Rodriguez, MM Lopez-Cruz | | 2024 |
A fast algorithm to factorize high-dimensional tensor product matrices used in genetic models M Lopez-Cruz, P Pérez-Rodríguez, G de Los Campos G3: Genes, Genomes, Genetics 14 (3), jkae001, 2024 | | 2024 |
Leveraging Data from the Genomes to Fields Initiative to Investigate G× E in Maize in North America M Lopez-Cruz, F Aguate, J Washburn, N de Leon, S Kaeppler, DC Lima, ... | | 2023 |