在研项目
1. 国家自然科学基金面上项目，32471891，联合基因组和表型组学解析影响杉木重要经济性状基因组选择的关键因子，2025/01-2028/12，50万元，在研，主持
2. 国家自然科学基金面上项目，批准号：32171818，项目名称：杉木4个连续世代育种群体的变异模式与基因组选择信号研究，执行期限：2022.01～2025.12，项目经费：60万元，主持
3.国家重点研发计划子课题,批准号：2022YFD2200201,项目名称：杉木第四代结构化育种群体构建，执行期限：2022.11～2027.10，经费：60万元，主持
4.中华人民共和国科技部科技创新2030项目“农业生物育种重大项目”，子课题名称：氮磷高效利用湿地松全基因组关联分析及新种质筛选，项目号： 2023ZD0405805，2023年9月至2025年12月，140万元，主持
已发表论文
2025
Zhou, Ziyang, Huichun Zhang, Liming Bian, Lei Zhou, and Yufeng Ge. (2025) "Integrating Sensor Fusion with Machine Learning for Comprehensive Assessment of Phenotypic Traits and Drought Response in Poplar Species." Plant biotechnology journal, http://dx.doi.org/https://doi.org/10.1111/pbi.70039.
Tuuli Aro, Biyue Tan, Zhi-Qiang Chen, Henrik Hallingbäck, Mari Suontama, Johan Westin, Harry Wu, Vaughan Hurry (2025). Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce, The Plant Genome DOI: 10.1002/tpg2.70151.
2024
Diao S, Ding X, Luan Q, Chen Z-Q, Wu HX, Li X, Zhang Y, Sun J, Wu Y, Zou L-H, Jiang J. (2024). Development of 51 K liquid-phased probe array for Loblolly and Slash pines and its application to GWAS of Slash pine breeding population. Industrial Crops and Products 216: 118777.
Estravis Barcala M, van der Valk T, Chen Z-Q, Funda T, Chaudhary R, Klingberg A, Fundova I, Suontama M, Hallingbäck H, Bernhardsson C, et al (2024). "Whole-genome resequencing facilitates the development of a 50K single nucleotide polymorphism genotyping array for Scots pine (Pinus sylvestris L.) and its transferability to other pine species." Plant J 117(3): 944–955.
Hayatgheibi H, Hallingbäck HR, Lundqvist S-O, Grahn T, Scheepers G, Nordström P, Chen Z-Q, Kärkkäinen K, Wu HX, García-Gil MR (2024). "Implications of accounting for marker-based population structure in the quantitative genetic evaluation of genetic parameters related to growth and wood properties in Norway spruce." BMC Genomic Data 25(1): 60.
Zhou L, Zhang H, Bian L, Zhao Y, Xiao Q. A Zero-Shot Deep Learning-Supported Sensing System for Crop Seeds and Berries Phenotyping.
Ieee Sensors Journal 2024, 24(24): 42394-42403.
Zhou L, Zhang H, Bian L, Tian Y, Zhou H. Phenotyping of Drought-Stressed Poplar Saplings Using Exemplar-Based Data Generation and
Leaf-Level Structural Analysis. Plant Phenomics 2024, 6.
Yang JJ, Guo RX, Yang Y, Luo Y, Wei GQ, Bian LM, et al. Integrative analysis of the transcriptome, targeted metabolome, and anatomical
observation provides insights into the brassinosteroids-mediated seasonal variation of cambial activity in Chinese fir.
Industrial Crops and Products 2024, 222.
Yang J, Chen Y, Yang Y, Luo Y, Bian L, Xu J. ClBES1/BZR1-1, a brassinosteroid-responsive transcription factor, negatively regulates lignin
deposition during secondary xylem formation in Cunninghamia lanceolata. Industrial Crops and Products 2024, 219.
Wang L, Zhang H, Bian L, Zhou L, Wang S, Ge Y. Poplar seedling varieties and drought stress classification based on multi-source, time-series
data and deep learning. Industrial Crops and Products 2024, 218.
Tian Q, Zhang H, Bian L, Zhou L, Ge Y, Casella E. Three-Dimensional Quantification and Visualization of Leaf Chlorophyll Content in Poplar
Saplings under Drought Using SFM-MVS. Forests 2024, 15(1).
Fan X, Zhang H, Zhou L, Bian L, Jin X, Tang L, et al. Evaluating drought stress response of poplar seedlings using a proximal sensing platform
via multi-parameter phenotyping and two-stage machine learning. Computers and Electronics in Agriculture 2024, 225.
2023
Chen, Z.-Q., Klingberg, A., Hallingbäck, H.R., and Wu, H.X. 2023. Preselection of QTL markers enhances accuracy of genomic selection in Norway spruce. BMC Genom. 24(1):147.
Estravis Barcala, M., van der Valk, T., Chen, Z-Q., Funda, T., Chaudhary, R., Klingberg, A., Fundova, I., Suontama, M., Hallingbäck, H., Bernhardsson, C., et al. 2023. Whole-genome resequencing facilitates the development of a 50K single nucleotide polymorphism genotyping array for Scots pine (Pinus sylvestris L.) and its transferability to other pine species. Plant J.
Zhao, B., Bian, L., Feng, Q., Wu, J., Zhang, X., Zheng, R., Zheng, X., Yang, Z., Chen, Z.-Q., Wu, H.X., and Shi, J. 2023. Development of an Advanced-Generation Multi-Objective Breeding Population for the 4th Cycle of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook.). Forests 14(8):1658.
Zhao B, Bian L, Feng Q, Wu J, Zhang X, Zheng R, et al. Development of an Advanced-Generation Multi-Objective Breeding Population for
the 4th Cycle of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook.). Forests 2023, 14(8).
Zhang H, Wang L, Jin X, Bian L, Ge Y. High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on
multiple scales using optical sensing. Crop Journal 2023, 11(5): 1303-1318.
Jing Y, Bian L, Zhang X, Zhao B, Zheng R, Su S, et al. Genetic diversity and structure of the 4<SUP>th</SUP> cycle breeding population of
Chinese fir (Cunninghamia lanceolata(lamb.) hook). Frontiers in Plant Science 2023, 14.
2022
Chen, Z.-Q., Zan, Y., Zhou, L., Karlsson, B., Tuominen, H., García-Gil, M.R., and Wu, H.X. Genetic architecture behind developmental and seasonal control of tree growth and wood properties in Norway spruce. Front. Plant Sci. 2022, 13:927673.
Li, L., Milesi, P., Tiret, M., Chen, J., Sendrowski, J., Baison, J., Chen, Z.-Q., Zhou, L., Karlsson, B., Berlin, M., et al. 2022. Teasing apart the joint effect of demography and natural selection in the birth of a contact zone. New Phytol. 236(5):1976-1987.
Nguyen HTH, Chen Z-Q, Fries A, Berlin M, Hallingbäck HR, Wu HX: Effect of additive, dominant and epistatic variances on breeding and deployment strategy in Norway spruce. Forestry: An International Journal of Forest Research 2022, 95(3):416 - 427.
Ye Z, Guo Q, Wei J, Zhang J, Zhang H, Bian L, et al. Recognition of terminal buds of densely-planted Chinese fir seedlings using improved
YOLOv5 by integrating attention mechanism. Frontiers in Plant Science 2022, 13.
Bian L, Zhang H, Ge Y, Cepl J, Stejskal J, El-Kassaby YA. Closing the gap between phenotyping and genotyping: review of advanced,
image-based phenotyping technologies in forestry. Annals of Forest Science 2022, 79(1).
2021
Chen, Z.-Q., Zan, Y., Milesi, P., Zhou, L., Chen, J., Li, L., Cui, B., Niu, S., Westin, J., Karlsson, B., et al. Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis. Genome Biol. 2021; 22(1):179.
Calleja-Rodriguez, A., Chen, Z-Q., Suontama, M., Pan, J., and Wu, H.X. Genomic Predictions With Nonadditive Effects Improved Estimates of Additive Effects and Predictions of Total Genetic Values in Pinus sylvestris. Front. Plant Sci. 2021;12(1236).
Wu HX, Ker R, Chen Z-Q, Ivkovic M. Balancing Breeding for Growth and Fecundity in Radiata Pine (Pinus radiata D. Don) Breeding Programme. Evol Appl. 2021; 14:834-846.
2020
10. Bernhardsson C, Zan Y, Chen Z-Q, Ingvarsson PK, Wu HX. Development of a highly efficient 50K SNP genotyping array for the large and complex genome of Norway spruce (Picea abies L. Karst) by whole genome re‐sequencing and its transferability to other spruce species. Mol Ecol Resour. 2020.
11. Chen Z-Q, Hai HNT, Helmersson A, Liziniewicz M, Hallingbäck HR, Fries A, Berlin M, Wu HX. Advantage of clonal deployment in Norway spruce (Picea abies (L.) H. Karst). Ann For Sci. 2020; 77:14.
13. Zhou L, Chen Z-Q, Olsson L, Grahn T, Karlsson B, Wu HX, Lundqvist S-O, García-Gil MR. Effect of number of annual rings and tree ages on genomic predictive ability for solid wood properties of Norway spruce. BMC Genom. 2020; 21:323.
14. Elfstrand M, Baison J, Lundén K, Zhou L, Vos I, Capador‐Barreto HD, Åslund MS, Chen Z-Q, Chaudhary R, Olson Å. Association genetics identifies a specifically regulated Norway spruce laccase gene, PaLAC5, linked to Heterobasidion parviporum‐resistance. Plant, Cell & Environment. 2020.
2019
Chen Z-Q, Baison J, Pan J, Westin J, Garcia-Gil MR, Wu HX (2019): Increased prediction ability in Norway spruce trials using a marker x environment interaction and non-additive genomic selection model. Journal of heredity, 110:830–843.
Zhou L, Chen Z-Q, Lundqvist S-O, Olsson L, Grahn T, Karlsson B, Wu H, García-Gil MR (2019): Genetic analysis of wood quality traits in Norway spruce open-pollinated progenies and their parent plus-trees at clonal archives, and the evaluation of phenotypic selection of plus-trees. Can J For Res.
Baison J, Vidalis A, Zhou L, Chen Z-Q, Li Z, Sillanpaeae MJ, Bernhardsson C, Scofield D, Forsberg N, Grahn T et al (2019): Genome-wide association studyidentified novel candidate loci affecting wood formation in Norway spruce. The Plant Journal.
Calleja-Rodriguez A, Pan J, Funda T, Chen Z-Q, Baison J, Isik F, Abrahamsson S, Wu HX (2019): Genomic prediction accuracies and abilities for growth and wood quality traits of Scots pine, using genotyping-by-sequencing (GBS) data. BMC Genomics, 2020; 21:796.
2018
Chen Z-Q, Baison J, Pan J, Karlsson B, Andersson B, Westin J, García-Gil MR, Wu HX. Accuracy of genomic selection for growth and wood quality traits in two control-pollinated progeny trials using exome capture as the genotyping platform in Norway spruce. BMC Genom. 2018; 19:946.
Chen, Z.-Q, Lundén, K., Karlsson, B., Vos, I., Olson, Å., Lundqvist, S.-O., Stenlid, J. Wu, H.X., García Gil, M.R., & Elfstrand, M. (2018). Early selection for resistance toHeterobasidion parviporum in Norway spruce is not likely to affect growth and wood quality traits in late-age performance. European Journal of Forest Research.
*Chen, Z.-Q, Helmersson, A., Westin, J., Karlsson, B. & Wu, H.X. (2018) Efficiency of using spatial analysis for Norway spruce field tests in Sweden. Annals of Forest Science, ss. 1–10.
2017
*Chen, Z.-Q., Karlsson, B., & Wu, H.X. (2017) Patterns of additive genotype-by-environment interaction in tree height of Norway spruce in southern and central Sweden. Tree Genetics & Genomes 13:25. doi:10.1007/s11295-017-1103-6
2016
*Chen, Z.-Q., Karlsson, B., Mörling, T., Olsson, L., Mellerowicz, E.J., Wu, H.X., Lundqvist S.-O., & García Gil, M.R. (2016) Genetic analysis of fiber dimensions and their correlation with stem diameter and solid-wood properties in Norway spruce. Tree Genetics & Genomes 12:123. doi:10.1007/s11295-016-1065-0
Chen, Z.-Q., Abramowicz, K., Raczkowski, R., Ganea, S., Wu, H.X., Lundqvist, S.-O., Mörling, T., Sjöstedt de Luna, S., García Gil, M.R. & Mellerowicz, E.J. (2016).Method for accurate fibre length determination from increment cores for large-scale population analyses in Norway spruce. Holzforschung 70: 829−838. doi:10.1515/hf-2015-0138.
Huang, Y., Mao, J., Chen Z.-Q., Meng, J., Xu, Y., Duan, A., Li, Y. (2016) Genetic structure of needle morphological and anatomical traits of Pinus yunnanensis.Journal of Forestry Research 27:13–25. doi:10.1007/s11676-015-0133-x
2015
*Chen, Z.-Q., Karlsson, B., Lundqvist, S.-O., García Gil, M.R., Olsson, L. & Wu, H.X. (2015). Estimating solid wood properties using Pilodyn and acoustic velocity on standing trees of Norway spruce. Annals of Forest Science, 1–10. doi:10.1007/s13595-015-0458-9.
2014
*Chen, Z.-Q., García Gil, M.R., Karlsson, B., Lundqvist, S.-O., Olsson, L. & Wu, H.X. (2014). Inheritance of growth and solid wood quality traits in a large Norway spruce population tested at two locations in southern Sweden. Tree Genetics & Genomes, 10(5), pp. 1291–1303.