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.
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.
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.
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.
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.
