Prof. Luan Qifu and his group constructed high generation breeding groups of southern pines (Pinus elliottii and P. taeda) in China, and established markers (genes) assisted selection (MAS) breeding technology system using the whole genome association and selection (GWAS and GS) research methods. The research work has created a pine breeding innovation chain of "theory-method-technology-varieties and their promotion". More than 20 peer-review papers published, and most of the papers were indexed by SCI and collected in WOS. They have won 6 awards or achievements, including second prize of Zhejiang Science and Technology Progress Award and second prize of Science and Technology Award of Chinese Academy of Forestry.
Ding, X., Diao, S., Luan, Q*., Wu, H. X., Zhang, Y.,Jiang, J., A transcriptome-based association study of growth, wood quality, and oleoresin traits in a slash pine breeding population. PLoS genetics, 2022, 18: e1010017
Ding, X., Li, Y., Zhang, Y., Diao, S., Luan, Q*., Jiang, J., Genetic analysis and elite tree selection of the main resin components of slash pine. Frontiers in Plant Science, 2023, 14: 1079952
Diao Shu, ZhangYini, Luan Q*, et al. Identification of TPS-dsubfamily genes and functional characterization of three monoterpene synthases in slash pine. Industrial Crops and Products, 2022, 115609
Luan Qifu, Diao Shu, Sun Honggang, et al. Prediction and comparisons of turpentine content in slash pine at different slope positions using near-infrared spectroscopy. Plants, 2022, 11(7):914
Li Yanjie, Sun Honggang, Jiang Jingmin, Luan Q*, et al. Spectrometric prediction of nitrogen content in different tissues of slash pine trees. Plant Phenomics, 2022, 9892728
Zhang Yini, Diao Shu, Ding Xianyin, Luan Q*, et al. Transcriptional regulation modulates terpenoid biosynthesis of Pinus elliottii under drought tress. Industrial Crops and Products, 2023, 116975
Luan, Q., Xu, C., Tao, X. et al. Estimating canopy chlorophyll in slash pine using multitemporal vegetation indices from uncrewed aerial vehicles (UAVs). Precision Agric, 2024, https://doi.org/10.1007/s11119-023-10106-9
Luan Qifu*, Tao Xueyu, Diao Shu, et al. Chapter 6-Methods: characteristics, variance, and genetics of pine oleoresin components, and their potential for renewable and sustainable energy, in Atta-ur-Rahman. (Eds.), Studies in Natural Products Chemistry [M]. Elsevier, 2021, 68, pp.221-253
Luan Qifu, Jiang Jingmin. Nondestructive testing of living trees and genetic breeding of wetland pine [M], Singapore: Eno-Scientific Press, 2020
