Multitrait, random regression, or simple repeatability model in high‐throughput phenotyping data improve genomic prediction for wheat grain yield J Sun, JE Rutkoski, JA Poland, J Crossa, JL Jannink, ME Sorrells The plant genome 10 (2), plantgenome2016.11.0111, 2017 | 174 | 2017 |
High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage J Sun, JA Poland, S Mondal, J Crossa, P Juliana, RP Singh, JE Rutkoski, ... Theoretical and Applied Genetics 132, 1705-1720, 2019 | 89 | 2019 |
Genomic selection in wheat DW Sweeney, J Sun, E Taagen, ME Sorrells Applications of genetic and genomic research in cereals, 273-302, 2019 | 13 | 2019 |
Genomic selection in wheat breeding J Sun, M Khan, R Amir, A Gul Climate Change and Food Security with Emphasis on Wheat, 321-330, 2020 | 5 | 2020 |
Mapping four quantitative trait loci associated with type I fusarium head blight resistance in winter wheat ‘INW0412’ J Sun, HW Ohm, JA Poland, CE Williams Crop Science 56 (3), 1163-1172, 2016 | 4 | 2016 |
Utilizing Genomics and Phenomics in CIMMYT wheat breeding S Mondal, JA Poland, A Haghighattalab, D Singh, M Rahmanm, ... CIMMYT, 2016 | 1 | 2016 |
Combining and mapping QTL for fusarium head blight (FHB) resistance in wheat J Sun Purdue University, 2014 | | 2014 |