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Jin Sun
Jin Sun
在 ysu.edu.cn 的电子邮件经过验证
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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
1742017
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
892019
Genomic selection in wheat
DW Sweeney, J Sun, E Taagen, ME Sorrells
Applications of genetic and genomic research in cereals, 273-302, 2019
132019
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
52020
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
42016
Utilizing Genomics and Phenomics in CIMMYT wheat breeding
S Mondal, JA Poland, A Haghighattalab, D Singh, M Rahmanm, ...
CIMMYT, 2016
12016
Combining and mapping QTL for fusarium head blight (FHB) resistance in wheat
J Sun
Purdue University, 2014
2014
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