| Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer G Covarrubias-Pazaran PloS one 11 (6), e0156744, 2016 | 548 | 2016 |
| Genomic prediction enhanced sparse testing for multi-environment trials D Jarquin, R Howard, J Crossa, Y Beyene, M Gowda, JWR Martini, ... G3: Genes, Genomes, Genetics 10 (8), 2725-2739, 2020 | 74 | 2020 |
| Fragman: an R package for fragment analysis G Covarrubias-Pazaran, L Diaz-Garcia, B Schlautman, J Zalapa BMC Genetics 17 (62), 1-8, 2016 | 71 | 2016 |
| Multivariate GBLUP Improves Accuracy of Genomic Selection for Yield and Fruit Weight in Biparental Populations of Vaccinium macrocarpon Ait G Covarrubias-Pazaran, B Schlautman, L Diaz-Garcia, E Grygleski, ... Frontiers in plant science 9, 1310, 2018 | 57 | 2018 |
| Software update: Moving the R package sommer to multivariate mixed models for genome-assisted prediction G Covarrubias-Pazaran BioRxiv, 354639, 2018 | 46 | 2018 |
| Exploiting genotyping by sequencing to characterize the genomic structure of the American cranberry through high-density linkage mapping G Covarrubias-Pazaran, L Diaz-Garcia, B Schlautman, J Deutsch, ... BMC Genomics 17 (451), 2016 | 38 | 2016 |
| Development of a high-density cranberry SSR linkage map for comparative genetic analysis and trait detection B Schlautman, G Covarrubias-Pazaran, LA Diaz-Garcia, ... Molecular breeding 35, 1-18, 2015 | 34 | 2015 |
| Image-based phenotyping for identification of QTL determining fruit shape and size in American cranberry (Vaccinium macrocarpon L.) L Diaz-Garcia, G Covarrubias-Pazaran, B Schlautman, E Grygleski, ... PeerJ 6, e5461, 2018 | 32 | 2018 |
| Construction of a High-Density American Cranberry ( Vaccinium macrocarpon Ait.) Composite Map Using Genotyping-by-Sequencing for Multi-pedigree Linkage mapping ZJ Schlautman B1, Covarrubias-Pazaran G, Diaz-Garcia L, Iorizzo M, Polashock ... G3: Genes, Genomes, Genetics, 2017 | 29 | 2017 |
| Comparative genetic mapping reveals synteny and collinearity between the American cranberry and diploid blueberry genomes B Schlautman, L Diaz-Garcia, G Covarrubias-Pazaran, N Schlautman, ... Molecular breeding 38, 1-19, 2018 | 28 | 2018 |
| Do spatial designs outperform classic experimental designs? R Hoefler, P González-Barrios, M Bhatta, JAR Nunes, I Berro, RS Nalin, ... Journal of Agricultural, Biological and Environmental Statistics 25 (4), 523-552, 2020 | 27 | 2020 |
| Discriminating power of microsatellites in cranberry organelles for taxonomic studies in Vaccinium and Ericaceae B Schlautman, G Covarrubias-Pazaran, D Fajardo, S Steffan, J Zalapa Genetic Resources and Crop Evolution, 1-16, 2016 | 25 | 2016 |
| Massive phenotyping of multiple cranberry populations reveals novel QTLs for fruit anthocyanin content and other important chemical traits L Diaz-Garcia, B Schlautman, G Covarrubias-Pazaran, A Maule, ... Molecular genetics and genomics 293, 1379-1392, 2018 | 24 | 2018 |
| Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations H Hu, MT Campbell, TH Yeats, X Zheng, DE Runcie, ... Theoretical and Applied Genetics 134, 4043-4054, 2021 | 23 | 2021 |
| Breeding schemes: what are they, how to formalize them, and how to improve them? G Covarrubias-Pazaran, Z Gebeyehu, D Gemenet, C Werner, M Labroo, ... Frontiers in Plant Science 12, 791859, 2022 | 19 | 2022 |
| GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping L Diaz-Garcia, G Covarrubias-Pazaran, B Schlautman, Z Juan PLoS ONE 11 (8), e0160439, 2016 | 17 | 2016 |
| Genotyping-by-sequencing identifies historical breeding stages of the recently domesticated American cranberry L Diaz-Garcia, G Covarrubias-Pazaran, J Johnson-Cicalese, N Vorsa, ... Frontiers in Plant Science 11, 607770, 2020 | 16 | 2020 |
| SOFIA: an R package for enhancing genetic visualization with Circos L Diaz-Garcia, G Covarrubias-Pazaran, B Schlautman, J Zalapa Journal of heredity 108 (4), 443-448, 2017 | 14 | 2017 |
| Strengthening public breeding pipelines by emphasizing quantitative genetics principles and open source data management G Covarrubias-Pazaran, JWR Martini, M Quinn, G Atlin Frontiers in Plant Science 12, 681624, 2021 | 12 | 2021 |
| Multivariate mixed models in ecology and evolutionary biology: inference and implementation in R JE Brommer, B Class, G Covarrubias-Pazaran EcoEvoRxiv Prepr 10, 2019 | 12 | 2019 |
Juan ZalapaUSDA-ARS, UW-MadisonBestätigte E-Mail-Adresse bei wisc.edu
