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                    U.S. DEPARTMENT OF AGRICULTURE
 Wheat Health, Genetics, and Quality Research: Pullman, WA
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ARS Home Pacific West Area Pullman, Washington WHGQ People & Locations







Xianran  Li
                        Wheat Health, Genetics, and Quality Research

                        




                        
                        Research Biologist
                        Phone: (509) 335-3620
                        
                        
                        Fax: (Employee information on this page comes from the REE Directory. Please contact your front office staff to update the REE Directory.)
                            ProjectsWheat and Barley Adaptation to a Changing Climate - Discovery of Genetic and Physiological Processes for Improved Crop Productivity and Quality
                                                    In-House Appropriated
                                                                    (D)Accession Number: 445231Identifying the Underlying Biochemical Mechanisms that Lead to Low Falling Number in Wheat
                                                    Non-Assistance Cooperative Agreement
                                                                    (S)Accession Number: 440218**Publications**
                                                (Clicking on the reprint icon
                                                    Reprint Icon
                                                    will take you to the publication reprint.)Novel allelic variations in Tannin1 and Tannin2 contribute to tannin absence in sorghum
                                                        

- (Peer Reviewed Journal)Zhang, W., Benke, R.L., Zhang, X., Zhang, H., Zhao, C., Zhao, Y., Xu, Y., Wang, H., Liu, S., Li, X., Wu, Y. 2024. Novel allelic variations in Tannin1 and Tannin2 contribute to tannin absence in sorghum. Molecular Breeding. 44. Article 24. https://doi.org/10.1007/s11032-024-01463-y.Genotype, environment, and their interaction effects on peanut seed protein, oil, and fatty acid content variability
                                                        

- (Peer Reviewed Journal)Wang, M.L., Tonnis, B.D., Li, X., Benke, R.L., Huang, E., Tallury, S.P., Pupplala, N., Peng, Z., Wang, J. 2024. Genotype, environment, and their interaction effects on peanut seed protein, oil, and fatty acid content variability. Crop Science. pgs. 1-15. https://doi.org/10.1002/agj2.21559.Chapter one - the role of artificial intelligence in crop improvement
                                                        

- (Book / Chapter)Negus, K., Li, X., Welch, S., Yu, J. 2024. The Role of Artificial Intelligence in Crop Improvement. Advances in Agronomy. 184,2024:1-66. https://doi.org/10.1016/bs.agron.2023.11.001.Genetic mapping of dynamic control of leaf angle across multiple canopy levels in maize
                                                        

- (Peer Reviewed Journal)Dzievit, M., Li, X., Yu, J. 2023. Genetic mapping of dynamic control of leaf angle across multiple canopy levels in maize. The Plant Genome. 17(1). Article e20423. https://doi.org/10.1002/tpg2.20423.Streamline unsupervised machine learning to survey and graph indel-based haplotypes from pan-genomes
                                                        

- (Peer Reviewed Journal)Zhang, B., Huang, H., Tibbs, L.E., Zhang, Z., Sanguinet, K., Vanous, A.E., Garland Campbell, K.A., Yu, J., Li, X. 2023. Streamline unsupervised machine learning to survey and graph indel-based haplotypes from pan-genomes. Molecular Plant. 16(6):975-978. https://doi.org/10.1016/j.molp.2023.05.005.An Independent Validation Reveals the Potential to Predict Hagberg-Perten Falling Number Using Spectrometers
                                                        

- (Peer Reviewed Journal)Chen, C., Hu, Y., Li, X., Cannon, A., Morris, C., Delwiche, S.R., Steber, C.M., Zhang, Z. 2023. An Independent Validation Reveals the Potential to Predict Hagberg-Perten Falling Number Using Spectrometers. The Plant Phenome Journal. 2023:6(1). https://doi.org/10.1002/ppj2.20070.Generation of sesame mutant population by mutagenesis and identification of high oleate mutants by GC analysis
                                                        

- (Peer Reviewed Journal)Wang, M.L., Tonnis, B.D., Li, X., Morris, J.B. 2023. Generation of sesame mutant population by mutagenesis and identification of high oleate mutants by GC analysis. Plants. 12(6). https://doi.org/10.3390/plants12061294.Machine learning for predicting phenotype from genotype and environment
                                                        

- (Peer Reviewed Journal)Guo, T., Li, X. 2023. Machine learning for predicting phenotype from genotype and environment. Current Opinion in Biotechnology. 79. Article 102853. https://doi.org/10.1016/j.copbio.2022.102853.Genomic prediction of tocochromanols in exotic-derived maize
                                                        

- (Peer Reviewed Journal)Tibbs-Cortes, L.E., Guo, T., Li, X., Tanaka, R., Vanous, A.E., Peters, D.W., Gardner, C.A., Magallanes-Lundback, M., Deason, N.T., DellaPenna, D., Gore, M.A., Yu, J. 2022. Genomic prediction of tocochromanols in exotic-derived maize. The Plant Genome. Article e20286. https://doi.org/10.1002/tpg2.20286.Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain
                                                        

- (Peer Reviewed Journal)Tanaka, R., Wu, D., Li, X., Tibbs-Cortes, L.E., Wood, J., Magallanes-Lundback, M., Bornowski, N., Hamilton, J.P., Vaillancourt, B., Li, X., Deason, N.T., Schoenbaum, G.R., Buell, C.R., DellaPenna, D., Yu, J., Gore, M.A. 2022. Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain. The Plant Genome. Article e20276. https://doi.org/10.1002/tpg2.20276.Evaluation of variability in seed coat color, weight, oil content, and fatty acid composition within the entire USDA-cultivated peanut germplasm collection
                                                        

- (Peer Reviewed Journal)Wang, M.L., Tonnis, B.D., Chen, C., Li, X., Pinnow, D.L., Tallury, S.P., Stigura, N.E., Pederson, G.A., Harrison, M.L. 2022. Evaluation of variability in seed coat color, weight, oil content, and fatty acid composition within the entire USDA-cultivated peanut germplasm collection. Crop Science. 62:2332-2346. https://doi.org/10.1002/csc2.20830.Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain
                                                        

- (Peer Reviewed Journal)Wu, D., Li, X., Tanaka, R., Wood, J., Tibbs-Cortes, L., Magallanes-Lundback, M., Bornowski, N., Hamilton, J., Vaillancourt, B., Diepenbrock, C., Li, X., Deason, N., Schoenbaum, G., Yu, J., Buell, R., Dellapenna, D., Gore, M. 2022. Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain. Genetics. 221(4). Article iyac091. https://doi.org/10.1093/genetics/iyac091.Unraveling the sorghum domestication
                                                        

- (Literature Review)Li, X., Yu, J. 2022. Unraveling the sorghum domestication. Molecular Plant. 15:1-2. https://doi.org/10.1016/j.molp.2022.03.006.Phenotypic plasticity in plant height shaped by interaction between genetic loci and diurnal temperature range
                                                        

- (Peer Reviewed Journal)Mu, Q., Guo, T., Li, X., Yu, J. 2022. Phenotypic plasticity in plant height shaped by interaction between genetic loci and diurnal temperature range. New Phytologist. 233(4):1768-1779. https://doi.org/10.1111/nph.17904.Genetics-inspired data-driven approaches explain and predict crop performance fluctuations attributed to changing climatic conditions
                                                        

- (Peer Reviewed Journal)Li, X., Guo, T., Bai, G., Zhang, Z., See, D.R., Marshall, J., Garland Campbell, K.A., Yu, J. 2022. Genetics-inspired data-driven approaches explain and predict crop performance fluctuations attributed to changing climatic conditions. Molecular Plant. 15(2):203-206. https://doi.org/10.1016/j.molp.2022.01.001.High-efficiency plastome base editing in rice with TAL cytosine deaminase
                                                        

- (Peer Reviewed Journal)Li, R., Char, S., Liu, B., Liu, H., Li, X., Yang, B. 2021. High-efficiency plastome base editing in rice with TAL cytosine deaminase. Molecular Plant. 14(9):1412-1414. https://doi.org/10.1016/j.molp.2021.07.007.
                    ARS News Articles
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                                                BRIDGEcereal: Self-Teaching Web App Improves Speed, Accuracy of Classifying DNA Variations Among Cereal Varieties


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