| QTG-Seq accelerates QTL fine mapping through QTL partitioning and whole-genome sequencing of bulked segregant samples H Zhang, X Wang, Q Pan, P Li, Y Liu, X Lu, W Zhong, M Li, L Han, J Li, ... Molecular plant 12 (3), 426-437, 2019 | 93 | 2019 |
| Meta‐analysis and candidate gene mining of low‐phosphorus tolerance in maize H Zhang, MS Uddin, C Zou, C Xie, Y Xu, WX Li Journal of integrative plant biology 56 (3), 262-270, 2014 | 61 | 2014 |
| Genome-wide association study dissects yield components associated with low-phosphorus stress tolerance in maize C Xu, H Zhang, J Sun, Z Guo, C Zou, WX Li, C Xie, C Huang, R Xu, H Liao, ... Theoretical and applied genetics 131, 1699-1714, 2018 | 54 | 2018 |
| A putative maize zinc-finger protein gene, ZmAN13, participates in abiotic stress response N Xuan, Y Jin, H Zhang, Y Xie, Y Liu, G Wang Plant Cell, Tissue and Organ Culture (PCTOC) 107, 101-112, 2011 | 49 | 2011 |
| Mapping QTL controlling maize deep-seeding tolerance-related traits and confirmation of a major QTL for mesocotyl length H Zhang, P Ma, Z Zhao, G Zhao, B Tian, J Wang, G Wang Theoretical and Applied Genetics 124, 223-232, 2012 | 48 | 2012 |
| Kernel size‐related genes revealed by an integrated eQTL analysis during early maize kernel development J Pang, J Fu, N Zong, J Wang, D Song, X Zhang, C He, T Fang, H Zhang, ... The Plant Journal 98 (1), 19-32, 2019 | 34 | 2019 |
| Large-scale evaluation of maize germplasm for low-phosphorus tolerance H Zhang, R Xu, C Xie, C Huang, H Liao, Y Xu, J Wang, WX Li PLoS One 10 (5), e0124212, 2015 | 24 | 2015 |
| Genomic prediction using existing historical data contributing to selection in biparental populations: a study of kernel oil in maize Y Hao, H Wang, X Yang, H Zhang, C He, D Li, H Li, G Wang, J Wang, J Fu The plant genome 12 (1), 180025, 2019 | 22 | 2019 |
| Enhancing genomic selection by fitting large-effect SNPs as fixed effects and a genotype-by-environment effect using a maize BC1F3:4 population D Li, Z Xu, R Gu, P Wang, D Lyle, J Xu, H Zhang, G Wang PLoS One 14 (10), e0223898, 2019 | 15 | 2019 |
| Quantitative trait locus mapping for seed artificial aging traits using an F2:3 population and a recombinant inbred line population crossed from two highly related … Y Liu, H Zhang, X Li, F Wang, D Lyle, L Sun, G Wang, J Wang, L Li, R Gu Plant breeding 138 (1), 29-37, 2019 | 15 | 2019 |
| Comparative analysis of the accelerated aged seed transcriptome profiles of two maize chromosome segment substitution lines L Li, F Wang, X Li, Y Peng, H Zhang, S Hey, G Wang, J Wang, R Gu PLoS One 14 (11), e0216977, 2019 | 12 | 2019 |
| A gene-oriented haplotype comparison reveals recently selected genomic regions in temperate and tropical maize germplasm C He, J Fu, J Zhang, Y Li, J Zheng, H Zhang, X Yang, J Wang, G Wang PLoS One 12 (1), e0169806, 2017 | 8 | 2017 |
| Genetic relatedness and the ratio of subpopulation‐common alleles are related in genomic prediction across structured subpopulations in maize D Li, P Wang, R Gu, J Fu, Z Xu, D Lyle, Y Peng, G Wang, H Zhang Plant breeding 138 (6), 802-809, 2019 | 4 | 2019 |
| Bulk pollen pollination in maize for efficient construction of introgression populations with high genome coverage P Wang, H Zhang, D Lyle, D Li, G Wang, Q Pan, J Wang Plant Breeding 138 (3), 252-258, 2019 | 3 | 2019 |
| Recombination pattern characterization via simulation using different maize populations W Ren, X Gong, K Li, H Zhang, F Chen, Q Pan International Journal of Molecular Sciences 21 (6), 2222, 2020 | 2 | 2020 |
