| Selected publications |
1.Xu Y, et al. Incorporation of parental phenotypic data into multi-omic models improves prediction of yield-related traits in hybrid rice, Plant Biotechnology Journal, 2021, 19(2): 261-272. 2.Xu Y, et al. Genomic selection: A breakthrough technology in rice breeding, The Crop Journal, 2021, 9(3): 669-677. 3.Xu Y, et al. Kernel metabolites depict the diversity of relationship between maize hybrids and their parental lines, The Crop Journal, 2021, 9(1): 181-191. 4.Xu Y, et al. Genomic selection of agronomic traits in hybrid rice using an NCII population, Rice, 2018, 11: 32. 5.Xu Y, et al. Genome-Wide Association Mapping of Starch Pasting Properties in Maize Using Single-Locus and Multi-Locus Models, Frontiers in Plant Science, 2018, 9: 1311. 6.Xu Y, et al. Prediction and association mapping of agronomic traits in maize using multiple omic data, Heredity, 2017, 119(3): 174-184. 7.Xu Y, et al. Genetic mapping of quantitative trait loci in crops, The Crop Journal, 2017, 5(2): 175-184. 8.Xu Y, et al. A multivariate partial least squares approach to joint association analysis for multiple correlated traits, The Crop Journal, 2016, 4(1): 21-29. |