Peer-reviewed articles
2024 (11 articles)
124. Fan Zhang, Ruicai Long, Zhiyao Ma, Hua Xiao, Xiaodong Xu, Zhongjie Liu, Chunxue Wei, Yiwen Wang, Yanling Peng, Xuanwen Yang, Xiaoya Shi, Shuo Cao, Mingna Li, Ming Xu, Fei He, Xueqian Jiang, Tiejun Zhang, Zhen Wang, Xianran Li, Long-Xi Yu, Junmei Kang, Zhiwu Zhang*, Yongfeng Zhou*, Qingchuan Yang*, Evolutionary genomics of climatic adaptation and resilience to climate change in alfalfa. Mollecular Plant, 2024, https://doi.org/10.1016/j.molp.2024.04.013
123. Atit Parajuli, Bhabesh Borphukan, Karen A Sanguinet*, Zhiwu Zhang*, In silico analysis identified bZIP transcription factors genes responsive to abiotic stress in Alfalfa (Medicago sativa L.). BMC genomics 25 (1), 1-16, 2024, https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-024-10277-3
122. Cheng He, Jacob D. Washburn, Nathaniel Schleif, Yangfan Hao, Heidi Kaeppler, Shawn M. Kaeppler, Zhiwu Zhang, Jinliang Yang, Sanzhen Liu, Trait association and prediction through integrative k-mer analysis. The Plant Journal, 2024, https://doi.org/10.1111/tpj.17012
121. Brandon J Weihs, Zhou Tang, Zezhong Tian, Deborah Jo Heuschele, Aftab Siddique, Thomas H Terrill, Zhou Zhang, Larry M York, Zhiwu Zhang*, Zhanyou Xu*, Phenotyping alfalfa (Medicago sativa L.) root structure architecture via integrating confident machine learning with ResNet-18. Plant Phenomics, 2024, https://spj.science.org/doi/pdf/10.34133/plantphenomics.0251
120. Brandon J Weihs, Deborah J Heuschele, Zhou Tang, Larry York, Zhiwu Zhang, Zhanyou Xu, The State of the Art in Root System Architecture Image Analysis Using Artificial Intelligence: A Review. Plant Phenomics, 2024, https://doi.org/10.34133/plantphenomics.0178
119. Cristina Ocaña-Gallegos, Meijing Liang, Emma McGinty, Zhiwu Zhang, Kevin M Murphy, Amber L Hauvermale, Preharvest Sprouting in Quinoa: A New Screening Method Adapted to Panicles and GWAS Components. Plants, 2024, https://doi.org/10.3390/plants13101297
118. Per McCord, W Wesley Crump, Zhiwu Zhang, Cameron Peace, Improving fruit size in sweet cherry via association mapping and genomic prediction. Tree Genetics & Genomes, 2024, https://link.springer.com/article/10.1007/s11295-024-01660-y
117. Bosen Zhang, Amber L Hauvermale, Zhiwu Zhang, Alison Thompson, Clark Neely, Aaron Esser, Michael Pumphrey, Kimberly Garland‐Campbell, Jianming Yu, Camille Steber, Xianran Li, Harnessing enviromics to predict climate‐impacted high‐profile traits to assist informed decisions in agriculture. Food and Energy Security, 2024, https://doi.org/10.1002/fes3.544
116. Renan Uhdre, Clarice J Coyne, Britton Bourland, Julia Piaskowski, Ping Zheng, Girish M Ganjyal, Zhiwu Zhang, Rebecca J McGee, Dorrie Main, Nonoy Bandillo, Mario Morales, Yu Ma, Chengci Chen, William Franck, Adam Thrash, Marilyn L Warburton, Association study of crude seed protein and fat concentration in a USDA pea diversity panel. Plant Genome, 2024, https://doi.org/10.1002/tpg2.20485
115. Hatice Sari, Renan Uhdre, Lyle Wallace, Clarice J. Coyne, Britton Bourland, Zhiwu Zhang, M. Russo, Alecia Kiszonas, and Marilyn L. Warburton, Genome‑wide association study in Chickpea (Cicerarietinum L.) for yield and nutritional components. Euphytica, 2024, https://doi.org/10.1007/s10681-024-03338-x
114. Lina Bu, Yuzhe Wang, Lizhi Tan, Zilong Wen, Xiaoxiang Hu, Zhiwu Zhang, Yiqiang Zhao, Haplotype analysis incorporating ancestral origins identified novel genetic loci associated with chicken body weight using an advanced intercross line. Genetics, Selection, Evolution, 56:78, 2024, https://doi.org/10.1186/s12711-024-00946-y.

2023 (6 articles)
113. Lanzhi Li, Xingfei Zheng, JiaboWang, Xueli Zhang, Xiaogang He,Liwen Xiong, Shufeng Song, Jing Su, Ying Diao, Zheming Yuan, Zhiwu Zhang* & Zhongli Hu*, Joint analysis of phenotype-effect-generation identifies loci associated with grain quality traits in rice hybrids. Nature Communication, 2023, https://doi.org/10.1038/s41467-023-39534-x
112. Zhou Tang, Meinan Wang, Michael Schirrmann, Karl-Heinz Dammer, Xianran Li, Robert Brueggeman, Sindhuja Sankaran, Arron H Carter, Michael O Pumphrey, Yang Hu*, Xianming Chen*, and Zhiwu Zhang*, Affordable High Throughput Field Detection of Wheat Stripe Rust Using Deep Learning with Semi-Automated Image Labeling. Computers and Electronics in Agriculture, 2023, https://doi.org/10.1016/j.compag.2023.107709
111. Bosen Zhang, Haiyan Huang, Laura E. Tibbs-Cortes, Adam Vanous, Zhiwu Zhang, Karen Sanguinet, Kimberly A. Garland-Campbell, Jianming Yu, Xianran Li, Streamline unsupervised machine learning to survey and graph indel-based haplotypes from pan-genomes. Molecular Plant, 2023, https://doi.org/10.1016/j.molp.2023.05.005
110. Chun-Peng James Chen*, Yang Hu, Xianran Li, Craig F. Morris, Stephen Delwiche, Arron H. Carter, Camille Steber, Zhiwu Zhang, An independent validation reveals the potential to predict Hagberg–Perten falling number using spectrometers. The Plant Phenome Journal, 2023, https://doi.org/10.1002/ppj2.20070
109. Zhou Tang, Yang Hu*, and Zhiwu Zhang*, ROOSTER: An image labeler and classifier through interactive recurrent annotation. F1000Research, 12:137, 2023, https://doi.org/10.12688/f1000research.127953.1
108. Fan Zhang, Junmei Kang, Ruicai Long, Mingna Li, Yan Sun, Fei He, Xueqian Jiang, Changfu Yang, Xijiang Yang, Jie Kong, Yiwen Wang, Zhen Wang, Zhiwu Zhang*, and Qingchuan Yang, Application of machine learning to explore the genomic prediction accuracy of fall dormancy in autotetraploid alfalfa. Horticulture Research, 2022, https://doi.org/10.1093/hr/uhac225.

2022 (11 articles)
107. Yang Hu, Stephanie M Sjoberg, Chunpen James Chen, Amber L Hauvermale, Craig F Morris, Stephen R Delwiche, Ashley E Cannon, Camille M Steber*, Zhiwu Zhang*, As the number falls, alternatives to the Hagberg–Perten falling number method: A review. Comprehensive Reviews in Food Science and Food Safety, 2022, https://doi.org/10.1111/1541-4337.12959.
106. Yao Zhou, Zhiyang Zhang, Zhigui Bao, Hongbo Li, Yaqing Lyu, Yanjun Zan, Yaoyao Wu, Lin Cheng, Yuhan Fang, Kun Wu, Jinzhe Zhang, Hongjun Lyu, Tao Lin, Qiang Gao, Surya Saha, Lukas Mueller, Zhangjun Fei, Thomas Städler, Shizhong Xu, Zhiwu Zhang, Doug Speed & Sanwen Huang*, Graph pangenome captures missing heritability and empowers tomato breeding. Nature, 2022, http://dx.doi.org/10.1038/s41586-022-04808-9.
105. Xianran Li, Tingting Guo, Guihua Bai, Zhiwu Zhang, Deven See, Juliet Marshall, Kimberly A Garland-Campbell, Jianming Yu, Genetics-inspired data-driven approaches explain and predict crop performance fluctuations attributed to changing climatic conditions. Molecular Plant, 2022, https://doi.org/10.1016/j.molp.2022.01.001.
104. Chun-Peng J Chen, Gota Morota, Kiho Lee, Zhiwu Zhang, Hao Cheng, VTag: a Semi-Supervised Pipeline for Tracking Pig Activity with a Single Top-View Camera. Journal of Animal Science, 2022, https://doi.org/10.1093/jas/skac147.
103. Wesley Crump, Cameron Peace, Zhiwu Zhang, Per McCord, Fruit cracking and firmness DNA test development and evaluation in sweet cherry. Fruit Research, 2022, https://doi.org/10.48130/FruRes-2022-0014.
102. YP Fu, YT Dai, KWT Chethana, ZH Li, L Sun, CT Li, HL Yu, RH Yang, Q Tan, DP Bao, YJ Deng, SX Wang, YF Wang, FH Tian, LL Qi, LL Shu, PS Jia, LC Chen, MY Chen, QX Hu, H Tan, TT Song, ZW Zhang, G Bonito, GI Zervakis, SJ Xiao, KD Hyde, Y Li, XH Yuan, Large-scale genome investigations reveal insights into domestication of cultivated mushrooms. Mycosphere, 2022, DOI: 10.5943/mycosphere/si/1f/4.
101. KS Sandhu, LF Merrick, S Sankaran, Zhiwu Zhang, Arron Carter, Prospectus of Genomic Selection and Phenomics in Cereal, Legume and Oilseed Breeding Programs. Frontiers in Genetics, 2022, https://doi.org/10.3389/fgene.2021.829131.
100. Chenggen Chu, Shichen Wang, Jackie C Rudd, Amir MH Ibrahim, Qingwu Xue, Ravindra N Devkota, Jason A Baker, Shannon Baker, Bryan Simoneaux, Geraldine Opena, Haixiao Dong, Xiaoxiao Liu, Kirk E Jessup, Ming-Shun Chen, Kele Hui, Richard Metz, Charles D Johnson, Zhiwu Zhang, Shuyu Liu, A new strategy for using historical imbalanced yield data to conduct genome-wide association studies and develop genomic prediction models for wheat breeding. Molecular Breeding, 2022, https://doi.org/10.1007/s11032-022-01287-8.
99. LF Merrick, AB Burke, Zhiwu Zhang, and Arron Carter, Comparison of Single-Trait and Multi-Trait Genome-Wide Association Models and Inclusion of Correlated Traits in the Dissection of the Genetic Architecture of a Complex Trait in a Breeding Program. Frontiers in Plant Science, 2022, https://doi.org/10.3389/fpls.2021.772907.
98. William Wesley Crump, Cameron Peace, Zhiwu Zhang, and Per McCord, Detection of breeding-relevant fruit cracking and fruit firmness QTLs in sweet cherry via pedigree-based and genome-wide association approaches. Frontiers in Plant Science, 2022, https://doi.org/10.3389/fpls.2022.823250.
97. Ruicai Long, Fan Zhang, Zhiwu Zhang, Mingna Li, Lin Chen, Xue Wang, Wenwen Liu, Tiejun Zhang, Long-Xi Yu, Fei He, Xueqian Jiang, Xijiang Yang, Changfu Yang, Zhen Wang, Junmei Kang, Qingchuan Yang, Genome assembly of alfalfa cultivar zhongmu-4 and identification of SNPs associated with agronomic traits. Genomics, Proteomics & Bioinformatics, 2022, https://doi.org/10.1016/j.gpb.2022.01.002.

2021 (10 articles)
96. Yang Hu, and Zhiwu Zhang*, GridFree: a python package of imageanalysis for interactive grain counting and measuring. Plant Physiology, 186(4),2239–2252, 2021, https://doi.org/10.1093/plphys/kiab226.
95. Zhou Tang, Atit Parajuli, Chunpeng James Chen, Yang Hu, Samuel Revolinski, Cesar Augusto Medina, Sen Lin, Zhiwu Zhang* and Long-Xi Yu*. Validation of UAV-based alfalfa biomass predictability using photogrammetry with fully automatic plot segmentation. Scientific Reports, 2021, doi: 10.1038/s41598-021-82797-x.
94. Jiabo Wang* and Zhiwu Zhang*, GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction. Genomics, Proteomics & Bioinformatics, 19 (629–640) 2021, https://doi.org/10.1016/j.gpb.2021.08.005.
93. Lilin Yin, Haohao Zhang, Zhenshuang Tang, Jingya Xu, Dong Yin, Zhiwu Zhang, Xiaohui Yuan, Mengjin Zhu, Shuhong Zhao, Xinyun Li, Xiaolei Liu, rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated tool for Genome-Wide Association Study. Genomics, Phenomics and Bioinformatics, 2021, https://doi.org/10.1016/j.gpb.2020.10.007.
92. Laura Tibbs Cortes, Zhiwu Zhang, and Jianming Yu. Status and prospects of genome‐wide association studies in plants. The Plant Genome, 2021, DOI: 10.1002/tpg2.20077.
91. Matthew T. McGowan, Zhiwu Zhang & Stephen P. Ficklin, Chromosomal characteristics of salt stress heritable gene expression in the rice genome. BMC Genomic Data, 2021, https://doi.org/10.1186/s12863-021-00970-7.
90. Karansher Singh Sandhu, Dennis Nicuh Lozada, Zhiwu Zhang, Michael O Pumphrey, Arron Hyrum Carter. Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program. Frontiers in Plant Science,2021, doi: 10.3389/fpls.2020.613325.
89. Haixiao Dong, He Li, Yingjie Xue, Shengzhong Su, Shipeng Li, Xiaohui Shan, Hongkui Liu, Nan Jiang, Xuyang Wu, Zhiwu Zhang and Yaping Yuan*. E183K Mutation in Chalcone Synthase C2 Causes Protein Aggregation and Maize Colorless. Frontier of Plant Science, 2021, https://doi.org/10.3389/fpls.2021.679654.
88. Kelly Swarts, Eva Bauer, Jeffrey C Glaubitz, Tiffany Ho, Lynn Johnson, Yongxiang Li, Yu Li, Zachary Miller, Cinta Romay, Chris-Carolin Schön, Tianyu Wang, Zhiwu Zhang, Edward S Buckler, Peter Bradbury. Joint analysis of days to flowering reveals independent temperate adaptations in maize. Heredity, 2021, https://www.nature.com/articles/s41437-021-00422-z.
87. Chandler R. Keller, Yang Hu, Kelsey F. Ruud, Anika E. VanDeen, Steve R. Martinez, Barry T. Kahn, Zhiwu Zhang, Roland K. Chen and Weimin Li. Human Breast Extracellular Matrix Microstructures and Protein Hydrogel 3D Cultures of Mammary Epithelial Cells. Cancers, 2021, https://www.mdpi.com/2072-6694/13/22/5857.

2020 (8 articles)
86. Wei Huang, Ping Zheng, Zhenhai Cui, Zhuo Li, Yifeng Gao, Helong Yu, You Tang, Xiaohui Yuan, and Zhiwu Zhang*. MMAP: A Cloud Computing Platform for Mining the Maximum Accuracy of Predicting Phenotypes from Genotypes. Bioinformatics, 37(9), 1324–1326, 2020, https://doi.org/10.1093/bioinformatics/btaa824.
85. Ying Wu, Fan Lin, Yao Zhou, Jie Wang, Shuai Sun, Bin Wang, Zhibin Zhang, Guo Li, Xiuyun Lin, Xutong Wang, Yue Sun, Qianli Dong, Chunming Xu, Lei Gong, Jonathan F Wendel*, Zhiwu Zhang*, Bao Liu*. Genomic mosaicism due to homoeologous exchange generates extensive phenotypic diversity in nascent allopolyploids. National Science Review, 2020, https://doi.org/10.1093/nsr/nwaa277.
84. James Chen and Zhiwu Zhang. GRID: A Python Package for Field Plot Phenotyping Using Aerial Images. Remote Sensing, 12(11), 1697, 2020, https://www.mdpi.com/2072-4292/12/11/1697.
83. Liyuan Liu, Jinghang Zhou, Chunpeng James Chen, Juan Zhang, Wan Wen, Jia Tian, Zhiwu Zhang*, Yaling Gu*. GWAS-Based Identification of New Loci for Milk Yield, Fat, and Protein in Holstein Cattle. Animals, 2020, https://doi.org/10.3390/ani10112048.
82. Zhenhai Cui, H Dong, A Zhang, Y Ruan, S Jiang, Y He, and Zhiwu Zhang*. Assessment of the Potential for Genomic Selection To Improve Husk Traits in Maize. G3: Genes, Genomes, Genetics, 2020, https://doi.org/10.1534/g3.120.401600.
81. Zhenhai Cui, H Dong, A Zhang, Y Ruan, S Jiang, Y He, and Zhiwu Zhang*. Denser Markers and Advanced Statistical Method Identified More Genetic Loci Associated with Husk Traits in Maize. Scientific Reports, 2020, https://doi.org/10.1038/s41598-020-65164-0.
80. Lu Liu, Meinan Wang, Zhiwu Zhang, Deven R See, Xianming Chen. Identification of Stripe Rust Resistance Loci in US Spring Wheat Cultivars and Breeding Lines Using Genome-wide Association Mapping and Yr Gene Markers. Plant Disease, 2020, https://doi.org/10.1094/PDIS-11-19-2402-RE.
79. Feixiong Luo, Kate Evans, John L Norelli, Zhiwu Zhang, Cameron Peace. Prospects for achieving durable disease resistance with elite fruit quality in apple breeding. Tree Genetics & Genomes, 2020, https://doi.org/10.1007/s11295-020-1414-x.

2019 (5 articles)
78. Meng Huang, Xiaolei Liu, Yao Zhou, Ryan M. Summers and Zhiwu Zhang*. BLINK: A Package for Next Level of Genome Wide Association Studies with Both Individuals and Markers in the Millions. GigaScience, 2019. https://doi.org/10.1093/gigascience/giy154.
77. Jinghang Zhou, Liyuan Liu, Chunpeng James Chen, Menghua Zhang, Xin Lu, Zhiwu Zhang*, Xixia Huang* and Yuangang Shi*. Genome-wide association study of milk and reproductive traits in dual-purpose Xinjiang Brown cattle. BMC Genomics, 2019. https://doi.org/10.1186/s12864-019-6224-x.
76. Ying‐hui Li, Delin Li, Yong‐qing Jiao, James C Schnable, Yan‐fei Li, Hui‐hui Li, Huai‐zhu Chen, Hui‐long Hong, Ting Zhang, Bin Liu, Zhang‐xiong Liu, Qing‐bo You, Yu Tian, Yong Guo, Rong‐xia Guan, Li‐juan Zhang, Ru‐zhen Chang, Zhiwu Zhang, Jochen Reif, Xin‐an Zhou, Patrick S Schnable, Li‐juan Qiu. Identification of loci controlling adaptation in Chinese soya bean landraces via a combination of conventional and bioclimatic GWAS. Plant biotechnology journal, 2019. https://doi.org/10.1111/pbi.13206.
75. Yueting Dai, Xiao Li, Bing Song, Sun Lei, Chentao Yang, Xin Zhang, Yanfeng Wang, Zhiwu Zhang, Yongping Fu, Yu Li. Genomic Analyses Provide Insights into the Evolutionary History and Genetic Diversity of Auricularia species. Frontiers in Microbiologye, 2019. https://doi.org/10.3389/fmicb.2019.02255.
74. Lei Sun, Yuhua Fu, Yang Yang, Xinxin Wang, Weijie Cui, Dan Li, Xiaohui Yuan, Zhiwu Zhang, Yongping Fu, Yu Li. Genomic Analyses Reveal Evidence of Independent Evolution, Demographic History, and Extreme Environment Adaptation of Tibetan Plateau Agaricus bisporus. Front. Microbiology, 2019. https://doi.org/10.3389/fmicb.2019.01786.

2018 (8 articles)
73. Chunpeng Chen and Zhiwu Zhang*. iPat: Intelligent Prediction and Association Tool for Genomic Research. Bioinformatics, 34(11), 1925–1927, 2018, https://doi.org/10.1093/bioinformatics/bty015.
72. Jiabo Wang, Zhengkui Zhou, Zhe Zhang, Hui Li, Di Liu, Qin Zhang, Peter J. Bradbury, Edward S. Buckler & Zhiwu Zhang*. Expanding the BLUP alphabet for genomic prediction adaptable to the genetic architectures of complex traits. Heredity, 2018, https://doi.org/10.1038/s41437-018-0075-0.
71. Haixiao Dong, Rui Wang, Yaping Yuan, James Anderson, Michael O Pumphrey, Zhiwu Zhang* and Jianli Chen*. Evaluation of the Potential for Genomic Selection to Improve Spring Wheat Resistance to Fusarium Head Blight in the Pacific Northwest. Frontiers in Plant Science, 2018, https://www.frontiersin.org/articles/10.3389/fpls.2018.00911/abstract.
70. Jinita Sthapit Kandel, Meng Huang, Zhiwu Zhang, Daniel Z. Skinner, and Deven R. See*. Genetic diversity of clinal freezing tolerance variation in winter wheat landraces. Agronomy, 2018, https://doi.org/10.3390/agronomy8060095.
69. Kendra Lyn Jernigan, Jayfred Gaham Godoy, Meng Huang, Yao Zhou, Craig Morris, Kimberly Garland-Campbell, Zhiwu Zhang, Arron H Carter Carter*. Association mapping for end-use quality traits in Pacific Northwest adapted soft white winter wheat. Frontiers in Plant Science, 2018, https://doi.org/10.3389/fpls.2018.00271.
68. Yong-xiang Li, Lin Chen, Chunhui Li, Peter J. Bradbury, Yun-su Shi, Yanchun Song, Dengfeng Zhang, Zhiwu Zhang, Edward S. Buckler, Yu Li and Tianyu Wang. Increased experimental conditions and marker densities identified more genetic loci associated with southern and northern leaf blight resistance in maize. Scientific Report, 2018, https://doi.org/10.1038/s41598-018-25304-z.
67. Shantel A. Martinez1, Jayfred Godoy, Meng Huang, Zhiwu Zhang, Arron H. Carter, Kimberly A. Garland Campbell and Camille M. Steber. Genome-wide Association Mapping for Tolerance to Preharvest Sprouting and Low Falling Numbers in Wheat. Frontiers in Plant Science, 2018, https://doi.org/10.3389/fpls.2018.00141.
66. Ying Wu, Yue Sun, Shuai Sun, Guo Li, Jie Wang, Bin Wang, Xiuyun Lin, Meng Huang, Zhiyun Gong, Karen A Sanguinet, Zhiwu Zhang, Band ao Liu. Aneuploidization under segmental allotetraploidy in rice and its phenotypic manifestation. Theoretical and Applied Genetics, 2018, https://doi.org/10.1007/s00122-018-3077-7.

2017 (7 articles)
65. Simerjeet Kaur, Xu Zhang, Amita Mohan, Haixiao Dong, Prashant Vikram, Sukhwinder Singh, Zhiwu Zhang, Kulvinder S Gill, Kanwarpal S Dhugga, Jaswinder Singh. Genome-Wide Association Study Reveals Novel Genes Associated with Culm Cellulose Content in Bread Wheat (Triticum aestivum, L.). Frontiers in Plant Science, 2017, 8:1913, https://doi.org/10.3389/fpls.2017.01913.
64. Chao Fang, Yanming Ma, Shiwen Wu, Zheng Wang, Rui Yang, Guanghui Hu, Zhengkui Zhou, Hong Yu, Min Zhang, Yi Pan, Guoan Zhou, Haixiang Ren, Weiguang Du, Hongrui Yan, Yanping Wang, Dezhi Han, Yanting Shen, Shulin Liu, Tengfei Liu, Jixiang Zhang, Hao Qin, Jia Yuan, Xiaohui Yuan, Fanjiang Kong, Baohui Liu, Jiayang Li, Zhiwu Zhang*, Guodong Wang*, Baoge Zhu* & Zhixi Tian*. Genome-wide association study dissects the genetic network underlying agronomical traits in soybean. Genome Biology, 2017, 18:161, https://doi.org/10.1186/s13059-017-1289-9.
63. Guanghui Hu, Zhao Li1, Yuncai Lu, Chunxia Li, Shichen Gong, Shuqin Yan, Guoliang Li, Mingquan Wang, Honglei Ren, Haitao Guan, Zhengwei Zhang, Jinpeng Zou, Dongling Qin, Mengzhu Chai，Juping Yu，Yu Li, Deguang Yang, Tianyu Wang, Zhiwu Zhang*. Genome-wide association study Identifies multiple Genetic Loci on Chilling Resistance during Germination in Maize. Scientific Report, 2017, https://doi.org/10.1038/s41598-017-08049-z.
62. Yongping Fu, Yueting Dai, Chentao Yang, Peng Wei, Bing Song, Yang Yang, Lei Sun, Zhiwu Zhang* & Yu Li*. Comparative Transcriptome Analysis Identified Candidate Genes Related to Bailinggu Mushroom Formation and Genetic Markers for Genetic Analyses and Breeding. Scientific Report, 2017, https://doi.org/10.1038/s41598-017-08049-z.
61. Kebede T. Muleta, Peter Bulli, Zhiwu Zhang, Xianming Chen, and Michael Pumphrey*. Unlocking Diversity in Germplasm Collections via Genomic Selection: A Case Study Based on Quantitative Adult Plant Resistance to Stripe Rust in Spring Wheat. Plant Genome, 2017, https://doi.org/10.3835/plantgenome2016.12.0124.
60. Xu Zhang, Qin Chu, Gang Guo, Ganghui Dong, Xizhi Li, Qin Zhang, Shengli Zhang, Zhiwu Zhang*, Yachun Wang*. Genome-wide association studies identified multiple genetic loci for body size at four growth stages in Chinese Holstein cattle. PLoS One, 2017, 12(4): e0175971, https://doi.org/10.1371/journal.pone.0175971.
59. Hui Zhang, Wei Na, Hong‑Li Zhang, Ning Wang, Zhi‑Qiang Du, Shou‑Zhi Wang, Zhi‑Peng Wang, Zhiwu Zhang* and Hui Li*. TCF21 is related to testis growth and development in broiler chickens. Genet Sel Evol, 2017, https://doi.org/10.1186/s12711-017-0299-0.
2016 (12 articles)
58. Chunhui Li, Baocheng Sun, Yongxiang Li, Cheng Liu, Xun Wu, Dengfeng Zhang, Yunsu Shi, Yanchun Song, Edward S Buckler*, Zhiwu Zhang*, Tianyu Wang*, Yu Li*. Numerous genetic loci identified for drought tolerance in the maize nested association mapping populations. BMC genomics 2016, 17 (1), 894, https://doi.org/10.1186/s12864-016-3170-8
57. Annett Richter, Claudia Schaff, Zhiwu Zhang, Alexander E Lipka, Feng Tian, Tobias G Köllner, Christiane Schnee, Susanne Preiss, Sandra Irmisch, Georg Jander, Wilhelm Boland, Jonathan Gershenzon, Edward S Buckler, Jorg Degenhardt*. Characterization of biosynthetic pathways for the production of the volatile homoterpenes DMNT and TMTT in Zea mays. The Plant Cell. 2016, https://doi.org/10.1105/tpc.15.00919.
56. Yongping Fu, Xinxin Wang, Dan Li, Yuan Liu, Bing Song, Chunlan Zhang, Qi Wang, Meiyuan Chen, Zhiwu Zhang*, Yu Li*. Identification of Resistance to Wet Bubble Disease and Genetic Diversity in Wild and Cultivated Strains of Agaricus bisporus. International Journal of Molecular Sciences 2016, 17 (10), 1568, https://doi.org/10.3390/ijms17101568.
55. Chunhui Li, Yongxiang Li, Y Shi, Y Song, D Zhang, ES Buckler*, Zhiwu Zhang*, Yu Li*, Tianyu Wang*. Analysis of recombination QTLs, segregation distortion, and epistasis for fitness in maize multiple populations using ultra-high-density markers. Theoretical and Applied Genetics 2016, 129 (9), 1775-1784, https://doi.org/10.1007/s00122-016-2739-6.
54. Yao Zhou, MI Vales, Aoxue Wang, Zhiwu Zhang*. Systematic bias of correlation coefficient may explain negative accuracy of genomic prediction. Briefings in Bioinformatics 2016, https://doi.org/10.1093/bib/bbx133.
53. Yong-Ping Fu, Yuan Liang, Yue-Ting Dai, Chen-Tao Yang, Ming-Zheng Duan, Zhuo Zhang, Song-Nian Hu*, Zhiwu Zhang*, Yu Li*. De Novo Sequencing and Transcriptome Analysis of Pleurotus eryngii subsp. tuoliensis (Bailinggu) Mycelia in Response to Cold Stimulation. Molecules 2016, 21(5), 560; https://doi.org/10.3390/molecules21050560.
52. Yong-xiang Li; Chunhui Li, Peter J. Bradbury, Xiaolei Liu, Fei Lu, M. Cinta Romay, Jeffrey C. Glaubitz, Xun Wu, Bo Peng, Yunsu Shi, Yanchun Song, Dengfeng Zhang, Edward S. Buckler*, Zhiwu Zhang*，Yu Li1* & Tianyu Wang*. Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population. The Plant Journal 2016, https://doi.org/10.1111/tpj.13174.
51. You Tang, Xiaolei Liu, Jiabo Wang, Meng Li, Qishan Wang, Feng Tian, Zhongbin Su,Yuchun Pan, Di Liu, Alexander E. Lipka, Edward S. Buckler, and Zhiwu Zhang*. GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction. The Plant Genome 2016, 9(2) 1-9, https://doi.org/10.3835/plantgenome2015.11.0120.
50. Xiaolei Liu, Meng Huang, Bin Fan, Edward S. Buckler, and Zhiwu Zhang*: Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies. PLoS Genetics 2016, https://doi.org/10.1371/journal.pgen.1005767.
49 Li Zhao, Guanghui Hu, Xiangfeng Liu, Yao Zhou, Yu Li, Xu Zhang, Xiaohui Yuan, Qian Zhang, Deguang Yang*, Tianyu Wang*, Zhiwu Zhang*. Transcriptome Sequencing Identified Genes and Gene Ontologies Associated with Early Freezing Tolerance in Maize. Frontiers in Plant Science 2016, 7, 1477, https://doi.org/10.3389/fpls.2016.01477.
48. Wu, Xun, Yongxiang Li, Yunsu Shi, Yanchun Song, Dengfeng Zhang, Chunhui Li, Edward S. Buckler, Yu Li,*, Zhiwu Zhang* and Tianyu Wang*: Joint-linkage mapping and GWAS reveal extensive genetic loci that regulate male inflorescence size in maize. Plant Biotechnology Journal 2016, 1–12, https://doi.org/10.1111/pbi.12519.
47. Krotscheck, Ursula, Samantha A. Nelson, Rory J. Todhunter, Marisa Stone, and Zhiwu Zhang. Long Term Functional Outcome of Tibial Tuberosity Advancement vs. Tibial Plateau Leveling Osteotomy and Extracapsular Repair in a Heterogeneous Population of Dogs. Veterinary Surgery 2016, 45(2): 261-8, https://doi.org/10.1111/vsu.12445.

2015 (5 articles)
46. Yingpeng Han, Xue Zhao, Dongyuan Liu, Yinghui Li, David A. Lightfoot, Zhijiang Yang, Lin Zhao, Gang Zhou, Zhikun Wang, Long Huang, Zhiwu Zhang, Lijuan Qiu, Hongkun Zheng, Wenbin Li. Domestication footprints anchor genomic regions of agronomic importance in soybeans. New Phytologist 2015, 209(2): 871-84 https://doi.org/10.1111/nph.13626.
45. Li C, Li Y, Bradbury PJ, Wu X, Shi Y, Song Y, Zhang D, Rodgers-Melnick E, Buckler ES, Zhiwu Zhang*, Li Y*, Wang T*. Construction of high-quality recombination maps with low-coverage genomic sequencing for joint linkage analysis in maize. BMC Biology, 2015, 13:78, https://doi.org/10.1186/s12915-015-0187-4.
44. Jiang Z, Zhou X, Li R, Michal JJ, Zhang S, Dodson M V., Zhiwu Zhang, Harland RM. Whole transcriptome analysis with sequencing: methods, challenges and potential solutions. Cell and Molecular Life Sciences, 2015, 72:3425–3439 https://doi.org/10.1007/s00018-015-1934-y.
43. Yingpeng Han, Xue Zhao, Guanglu Cao, Yan Wang, Yinghui Li, Dongyuan Liu, Weili Teng, Zhiwu Zhang, Dongmei Li, Lijuan Qiu, Hongkun Zheng, Wenbin Li. Genetic characteristics of soybean resistance to HG type 0 and HG type 1.2. 3.5. 7 of the cyst nematode analyzed by genome-wide association mapping. BMC genomics, 2015, 16(1) 1: https://doi.org/10.1371/journal.pone.0121624.
42. Li C, Y Li, Y Shi, Y Song, D Zhang, ES Buckler, Zhiwu Zhang, T Wang, Y Li. Genetic Control of the Leaf Angle and Leaf Orientation Value as Revealed by Ultra-High Density Maps in Three Connected Maize Populations. PLoS One 2015, 10(3): https://doi.org/10.1371/journal.pone.0121624.

2014 (7 articles)
41. Li M, Liu X, Bradbury P, Yu J, Zhang Y-M, Todhunter RJ, Buckler ES, Zhiwu Zhang*. Enrichment of statistical power for genome-wide association studies. BMC Biol 2014, 12:73, https://doi.org/10.1186/s12915-014-0073-5.
40. Zhu Dandan, Liu Xiaolei, Max Rothschild, Shuhong Zhao, Zhiwu Zhang, Fan Bin. Genome-wide association study of the backfat thickness trait in two pig populations. Frontiers of Agricultural Science and Engineering, 2014, 1 (2) 91-95:e107684, https://doi.org/10.15302/J-FASE-2014005.
39. Wang Q, Tian F, Pan Y, Buckler ES, Zhiwu Zhang*. A SUPER Powerful Method for Genome Wide Association Study. PLoS One 2014, 9:e107684, https://doi.org/10.1371/journal.pone.0107684.
38. Yang Y, Wang Q, Chen Q, Liao R, Zhang X, Yang H, Zheng Y, Zhiwu Zhang*, Yuchun Pan*. A new genotype imputation method with tolerance to high missing rate and rare variants. PLoS One 2014, 9, https://doi.org/10.1371/journal.pone.0101025.
37. Boyko A, Brooks S, Behan-Braman A, Castelhano M, Corey E, Oliveira K, Swinburne J, Todhunter R, Zhiwu Zhang, Ainsworth D, Robinson N. Genomic analysis establishes correlation between growth and laryngeal neuropathy in Thoroughbreds. BMC Genomics 2014, 15:259, https://doi.org/10.1186/1471-2164-15-259.
36. Peiffer JA, Romay MC, Gore MA, Flint-Garcia SA, Zhiwu Zhang, Millard MJ, Gardner CAC, McMullen MD, Holland JB, Bradbury PJ, Buckler ES. The genetic architecture of maize height. Genetics 2014, 196:1337–1356, https://doi.org/10.1534/genetics.113.159152.
35. Caniato FF, Hamblin MT, Guimaraes CT, Zhiwu Zhang, Schaffert RE, Kochian L V., Magalhaes J V. Association mapping provides insights into the origin and the fine structure of the sorghum aluminum tolerance locus, AltSB. PLoS One 2014, 9, https://doi.org/10.1371/journal.pone.0087438.

2013 (5 articles)
34. Hou Y, Wang Y, Lu X, Zhang X, Zhao Q, Todhunter RJ, Zhiwu Zhang*. Monitoring Hip and Elbow Dysplasia Achieved Modest Genetic Improvement of 74 Dog Breeds over 40 Years in USA. PLoS One 2013, 8:e76390, https://doi.org/10.1371/journal.pone.0076390.
33. Chen Q, Ma Y, Yang Y, Chen Z, Liao R, Xie X, Wang Z, He P, Tu Y, Zhang X, Yang C, Yang H, Yu F, Zheng Y, Zhiwu Zhang, Wang Q, Pan Y. Genotyping by Genome Reducing and Sequencing for Outbred Animals. PLoS One 2013, 8 , https://doi.org/10.1371/journal.pone.0067500.
32. Duan F, Ogden D, Xu L, Liu K, Lust G, Sandler J, Dykes NL, Zhu L, Harris S, Jones P, Todhunter RJ, Zhiwu Zhang. Principal component analysis of canine hip dysplasia phenotypes and their statistical power for genome-wide association mapping. J Appl Stat 2013, 40:235–251, https://doi.org/10.1080/02664763.2012.740617.
31. Nelson SA, Krotscheck U, Rawlinson J, Todhunter RJ, Zhiwu Zhang, Mohammed H. Long-Term Functional Outcome of Tibial Plateau Leveling Osteotomy Versus Extracapsular Repair in a Heterogeneous Population of Dogs. Vet Surg 2013, 42:38–50, https://doi.org/10.1111/j.1532-950X.2012.01052.x.
30. Guo T, Li H, Yan J, Tang J, Li J, Zhiwu Zhang, Zhang L, Wang J. Performance prediction of F1 hybrids between recombinant inbred lines derived from two elite maize inbred lines. Theor Appl Genet Appl Genet 2013, 126:189–201, https://doi.org/10.1007/s00122-012-1973-9.

2012 (4 articles)
29. Fitzpatrick CL, Krotscheck U, Thompson MS, Todhunter RJ, Zhiwu Zhang. Evaluation of Tibial Torsion in Yorkshire Terriers with and without Medial Patellar Luxation. Vet Surg 2012, 41:966–972, https://doi.org/10.1111/j.1532-950X.2012.01041.x.
28. Lipka AE, Tian F, Wang Q, Peiffer J, Li M, Bradbury PJ, Gore MA, Buckler ES, Zhiwu Zhang*. GAPIT: genome association and prediction integrated tool. Bioinformatics 2012, 28:2397–2399, https://doi.org/10.1093/bioinformatics/bts444.
27. Zhu L, Chen S, Jiang Z, Zhiwu Zhang, Ku H-C, Li X, McCann M, Harris S, Lust G, Jones P, Todhunter R. Identification of quantitative trait loci for canine hip dysplasia by two sequential multipoint linkage analyses. J Appl Stat 2012:1719–1731, https://doi.org/10.1080/02664763.2012.673121.
26. Jer-Ming Chia, Chi Song, Peter J Bradbury, Denise Costich, Natalia de Leon, John Doebley, Robert J Elshire, Brandon Gaut, Laura Geller, Jeffrey C Glaubitz, Michael Gore, Kate E Guill, Jim Holland, Matthew B Hufford, Jinsheng Lai, Meng Li, Xin Liu, Yanli Lu, Richard McCombie, Rebecca Nelson, Jesse Poland, Boddupalli M Prasanna, Tanja Pyhäjärvi, Tingzhao Rong, Rajandeep S Sekhon, Qi Sun, Maud I Tenaillon, Feng Tian, Jun Wang, Xun Xu, Zhiwu Zhang, Shawn M Kaeppler, Jeffrey Ross-Ibarra, Michael D McMullen, Edward S Buckler, Gengyun Zhang, Yunbi Xu & Doreen Ware. Maize HapMap2 identifies extant variation from a genome in flux. Nat Genet 2012, 44:803–807, https://doi.org/10.1038/ng.2313.

2011 (3 articles)
25. Guo G, Zhou Z, Wang Y, Zhao K, Zhu L, Lust G, Hunter L, Friedenberg S, Li J, Zhang Y, Harris S, Jones P, Sandler J, Krotscheck U, Todhunter R, Zhiwu Zhang*. Canine hip dysplasia is predictable by genotyping. Osteoarthr Cartil 2011, 19:420–429, https://doi.org/10.1016/j.joca.2010.12.011.
24. Friedenberg SG, Zhu L, Zhiwu Zhang, van den Berg Foels W, Schweitzer PA, Wang W, Fisher PJ, Dykes NL, Corey E, Vernier-Singer M, Foels WB, Jung SW, Sheng X, Hunter LS, McDonough SP, Lust G, Bliss SP, Krotscheck U, Gunn TM, Todhunter RJ. Evaluation of a fibrillin 2 gene haplotype associated with hip dysplasia and incipient osteoarthritis in dogs. Am J Vet Res 2011, 72:530–540, https://doi.org/10.2460/ajvr.72.4.530.
23. Setter TL, Yan J, Warburton M, Ribaut JM, Xu Y, Sawkins M, Buckler ES, Zhiwu Zhang, Gore MA. Genetic association mapping identifies single nucleotide polymorphisms in genes that affect abscisic acid levels in maize floral tissues during drought. J Exp Bot 2011, 62:701–716, https://doi.org/10.1093/jxb/erq308.

2010 (5 articles)
22. Zhang Z*, Ersoz E, Lai CQ, Todhunter RJ, Tiwari HK, Gore MA, Bradbury PJ, Yu J, Arnett DK, Ordovas JM, Buckler ES. Mixed linear model approach adapted for genome-wide association studies. Nat Genet 2010, 42:355–360, https://doi.org/10.1038/ng.546.
21. Huang X, Wei X, Sang T, Zhao Q, Feng Q, Zhao Y, Li C, Zhu C, Lu T, Zhiwu Zhang, Li M, Fan D, Guo Y, Wang A, Wang L, Deng L, Li W, Lu Y, Weng Q, Liu K, Huang T, Zhou T, Jing Y, Lin Z, Buckler ES, Qian Q, Zhang QF, Li J, Han B. Genome-wide association studies of 14 agronomic traits in rice landraces. Nat Genet 2010, 42:961–967, https://doi.org/10.1038/ng.695.
20. Zhang N, Gibon Y, Gur A, Chen C, Lepak N, Höhne M, Zhiwu Zhang, Kroon D, Tschoep H, Stitt M, Buckler E. Fine quantitative trait loci mapping of carbon and nitrogen metabolism enzyme activities and seedling biomass in the maize IBM mapping population. Plant Physiol 2010, 154:1753–1765, https://doi.org/10.1104/pp.110.165787.
19. Zhou Z, Sheng X, Zhiwu Zhang*, Zhao K, Zhu L, Guo G, Friedenberg SG, Hunter LS, Vandenberg-Foels WS, Hornbuckle WE, Krotscheck U, Corey E, Moise NS, Dykes NL, Li J, Xu S, Du L, Wang Y, Sandler J, Acland GM, Lust G, Todhunter RJ. Differential genetic regulation of canine hip dysplasia and osteoarthritis. PLoS One 2010, 5:e13219, https://doi.org/10.1371/journal.pone.0013219.
18. Hou Y, Wang Y, Lust G, Zhu L, Zhiwu Zhang*, Todhunter RJ: Retrospective analysis for genetic improvement of hip joints of cohort labrador retrievers in the United States: 1970-2007. PLoS One 2010, 5:e9410, https://doi.org/10.1371/journal.pone.0009410.

2009 (7 articles)
17. Zhang Z*, Buckler ES, Casstevens TM, Bradbury PJ. Software engineering the mixed model for genome-wide association studies on large samples. Br Bioinform 2009, 10:664–675, https://doi.org/10.1093/bib/bbp050.
16. Zhu L, Zhiwu Zhang, Friedenberg S, Jung SW, Phavaphutanon J, Vernier-Singer M, Corey E, Mateescu R, Dykes N, Sandler J, Acland G, Lust G, Todhunter R. The long (and winding) road to gene discovery for canine hip dysplasia. Vet J 2009, 181:97–110, https://doi.org/10.1016/j.tvjl.2009.02.008.
15. Buckler ES*, Holland JB*, Bradbury PJ, Acharya CB, Brown PJ, Browne C, Ersoz E, Flint-Garcia S, Garcia A, Glaubitz JC, Goodman MM, Harjes C, Guill K, Kroon DE, Larsson S, Lepak NK, Li H, Mitchell SE, Pressoir G, Peiffer JA, Rosas MO, Rocheford TR, Romay MC, Romero S, Salvo S, Sanchez Villeda H, da Silva HS, Sun Q, Tian F, Upadyayula N, Doreen Ware, Heather Yates, Jianming Yu, Zhiwu Zhang, Stephen Kresovich*, Michael D. McMullen*. The genetic architecture of maize flowering time. Science 2009, 325:714–718, https://doi.org/10.1126/science.1174276.
14. Myles S, Peiffer J, Brown PJ, Ersoz ES, Zhiwu Zhang, Costich DE, Buckler ES. Association Mapping: Critical Considerations Shift from Genotyping to Experimental Design. Plant Cell 2009, 21:2194–2202, https://doi.org/10.1105/tpc.109.068437.
13. Zhang Z, Zhu L, Sandler J, Friedenberg SS, Egelhoff J, Williams AJ, Dykes NL, Hornbuckle W, Krotscheck U, Moise NS, Lust G, Todhunter RJ. Estimation of heritabilities, genetic correlations, and breeding values of four traits that collectively define hip dysplasia in dogs. Am J Vet Res 2009, 70:483–492, https://doi.org/10.2460/ajvr.70.4.483.
12. Yu J, Zhang Z, Zhu C, Tabanao DA, Pressoir G, Tuinstra MR, Kresovich S, Todhunter RJ, Buckler ES. Simulation Appraisal of the Adequacy of Number of Background Markers for Relationship Estimation in Association Mapping. Plant Genome 2009, 2:63–77, https://doi.org/10.3835/plantgenome2008.09.0009.
11. Zhang Z, Li CX, Todhunter RJ, Lust G, Goonewardene L, Wang ZQ. An algorithm to sort complex pedigrees chronologically without birthdates. J Anim Vet Adv 2009, 8:177–182, http://medwelljournals.com/abstract/?doi=javaa.2009.177.182.

2008
10. Mateescu RG, Burton-wurster NI, Tsai K, Phavaphutanon J, Zhang Z, Murphy KE, Lust G, Todhunter RJ. Identification of quantitative trait loci for osteoarthritis of hip joints in dogs. AJVR 2008, 69:1294–1300, https://doi.org/10.2460/ajvr.69.10.1294.
9. Zhu L, Zhang Z, Feng F, Schweitzer P, Phavaphutanon J, Vernier-Singer M, Corey E, Friedenberg S, Mateescu R, Williams A, Lust G, Acland G, Todhunter R. Single nucleotide polymorphisms refine QTL intervals for hip joint laxity in dogs. Anim Genet 2008, 39:141-146, https://doi.org/10.1111/j.1365-2052.2007.01691.x.

2007
8. Bradbury PJ#, Zhang Z#, Kroon DE#, Casstevens TM, Ramdoss Y, Buckler ES. TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics 2007, 23:2633–2635, https://doi.org/10.1093/bioinformatics/btm308.
7. Liu T, Todhunter RJ, Wu S, Hou W, Mateescu R, Zhang Z, Burton-Wurster NI, Acland GM, Lust G, Wu R. A random model for mapping imprinted quantitative trait loci in a structured pedigree: an implication for mapping canine hip dysplasia. Genomics 2007, 90:276–284, https://doi.org/10.1016/j.ygeno.2007.04.004.
6. Zhang Z, Todhunter RJ, Buckler ES, Van Vleck LD. Technical note: Use of marker-based relationships with multiple-trait derivative-free restricted maximal likelihood. J Anim Sci 2007, 85:881–885, https://doi.org/10.2527/jas.2006-656.
5. Hays L, Zhang Z, Mateescu RG, Lust G, Burton-Wurster NI, Todhunter RJ. Quantitative genetics of secondary hip joint osteoarthritis in a Labrador Retriever-Greyhound pedigree. Am J Vet Res 2007, 68:35–41, https://doi.org/10.2460/ajvr.68.1.35.

2006
4. Michal JJ, Zhang Zhiwu, Gaskins CT, Jiang Z. The bovine fatty acid binding protein 4 gene is significantly associated with marbling and subcutaneous fat depth in Wagyu x Limousin F2 crosses. Anim Genet 2006, 37:400–402, https://doi.org/10.1111/j.1365-2052.2006.01464.x.

2005
3. Mateescu RG, Zhang Z, Tsai K, Phavaphutanon J, Burton-Wurster NI, Lust G, Quaas R, Murphy K, Acland GM, Todhunter RJ. Analysis of allele fidelity, polymorphic information content, and density of microsatellites in a genome-wide screening for hip dysplasia in a crossbreed pedigree. J Hered 2005, 96:847–853, https://doi.org/10.1093/jhered/esi109.
2. Dikeman ME, Pollak EJ, Zhang Z, Moser DW, Gill CA, Dressler EA. Phenotypic ranges and relationships among carcass and meat palatability traits for fourteen cattle breeds , and heritabilities and expected progeny differences for Warner-Bratzler shear force in three beef cattle breeds (the online version of this article). J Anim Sci 2005, 83:2461–2467, https://doi.org/10.2527/2005.83102461x.
1. Todhunter RJ, Mateescu R, Lust G, Burton-Wurster NI, Dykes NL, Bliss SP, Williams AJ, Vernier-Singer M, Corey E, Harjes C, Quaas RL, Zhang Z, Gilbert RO, Volkman D, Casella G, Wu R, Acland GM. Quantitative trait loci for hip dysplasia in a crossbreed canine pedigree. Mamm Genome 2005, 16:720–730, https://doi.org/10.1007/s00335-005-0004-4.