李百炼

李百炼，1957年12月出生，美籍华人，博士。现任美国北卡罗莱纳州立大学副校长，北卡州立大学环境资源学院正教授，北美林木遗传改良协作组主任，国际林联IUFRO第二学部“树木生理与森林遗传”负责人，国际著名林学杂志《Forest Science》和《Canadian Journal of Forest Research》副主编，瑞典农业大学、澳大利亚昆士兰大学、芬兰赫尔辛基大学和北京林业大学等多所著名大学的兼职教授和博士生导师，并被中国教育部特聘为“长江学者”讲座教授。

人物经历

1982年毕业于北京林业大学资源学院林学专业，获农学学士学位；

1983年赴美就读于北卡罗莱纳州立大学森林系，先后分别在1985年和1989年获硕士及博士学位；毕业后作为博士后受聘于美国最大的林业公司Weyerhaeuser公司；

1991年到美国明尼苏达大学森林资源系任该系遗传研究课题的研究员和主任；

研究方向

主要贡献

Xi, X. J., Jiang, X. B., Li, D., Guo, L. Q., Zhang, J. F., Wei, Z. Z., & Li, B. L. (2011). Induction of 2n pollen by colchicine in Populus X popularis and its triploids breeding. Silvae Genetica, 60(3-4), 155-160.

 Cumbie, W. P., Isik, F., Li, B. L., & Goldfarb, B. (2011). Effects of propagule type on genetic parameters of wood density and growth in a loblolly pine progeny test at ages 10 and 11 years. Tree Genetics & Genomes, 7(6), 1147-1158.

 Zhang, D. Q., Yang, X. H., Zhang, Z. Y., & Li, B. L. (2010). Expression and nucleotide diversity of the poplar COBL gene. Tree Genetics & Genomes, 6(2), 331-344.

 Aspinwall, M. J., Li, B. L., McKeand, S. E., Isik, F., & Gumpertz, M. L. (2010). Prediction of whole-stem alpha-cellulose yield, lignin content, and wood density in juvenile and mature loblolly pine. Southern Journal of Applied Forestry, 34(2), 84-90.

 Eckard, J. T., Isik, F., Bullock, B., Li, B. L., & Gumpertz, M. (2010). Selection efficiency for solid wood traits in pinus taeda using time-of-flight acoustic and micro-drill resistance methods. Forest Science, 56(3), 233-241.

 Zhang, J. F., Wei, Z. Z., Li, D., & Li, B. L. (2009). Using SSR markers to study the mechanism of 2n pollen formation in Populus x euramericana (Dode) Guinier and P. x popularis. Annals of Forest Science, 66(5).

 Isik, F., Amerson, H. V., Whetten, R. W., Garcia, S. A., Li, B., & McKeand, S. E. (2008). Resistance of Pinus taeda families under artificial inoculations with diverse fusiform rust pathogen populations and comparison with field trials. Canadian Journal of Forest Research, 38(10), 2687-2696.

 McKeand, S. E., Li, B., Grissom, J. E., Isik, F., & Jayawickrama, K. J. S. (2008). Genetic parameter estimates for growth traits from diallel tests of loblolly pine throughout the southeastern United States. Silvae Genetica, 57, 101-110.

 Isik, F., Gumpertz, M., Li, B., Goldfarb, B., & Sun, X. (2008). Analysis of cellulose microfibril angle (MFA) using a linear mixed model in Pinus taeda clones. Canadian Journal of Forest Research, 38(6), 1676-1689.

 Isik, F., Li, B., Goldfarb, B., & McKeand, S. (2008). Prediction of wood density breeding values of Pinus taeda elite parents from an unbalanced data: A method for adjustment of site and age effects using a common checklot. Annals of Forest Science, 65, 406-418.

 Chen, Q. M., Hu, Z., Chang, H. M., & Li, B. (2007). Micro analytical methods for determination of compression wood content in loblolly pine. Journal of Wood Chemistry and Technology, 27(3-4), 169-178.

 Li, H., Amerson, H., & Li, B. L. (2006). Genetic models of host-pathogen gene interaction based on inoculation of loblolly pine seedlings with the fusiform rust fungus. New Forests, 31(2), 245-252.

 McKeand, S. E., Jokela, E. J., Huber, D. A., Byram, T. D., Allen, H. L., Li, B. L., & Mullin, T. J. (2006). Performance of improved genotypes of loblolly pine across different soils, climates, and silvicultural inputs. Forest Ecology and Management, 227(1-2), 178-184.

 Li, H., Ghosh, S., Amerson, H., & Li, B. L. (2006). Major gene detection for fusiform rust resistance using Bayesian complex segregation analysis in loblolly pine. Theoretical and Applied Genetics, 113(5), 921-929.

 Hu, X. S., & Li, B. L. (2006). Additive genetic variation and the distribution of QTN effects among sites. Journal of Theoretical Biology, 243(1), 76-85.

 Alizoti, P. G., Li, B. L., & McKeand, S. E. (2006). Early evaluation of intra- and inter-provenance hybrids of loblolly pine for planting in piedmont regions of the southern United States. Forest Science, 52(5), 557-567.

 McKeand, S. E., Abt, R. C., Allen, H. L., Li, B. L., & Catts, G. P. (2006). What are the best loblolly pine genotypes worth to landowners?. Journal of Forestry, 104(7), 352-358.

 Sykes, R., Li, B. L., Isik, F., Kadla, J., & Chang, H. M. (2006). Genetic variation and genotype by environment interactions of juvenile wood chemical properties in Pinus taeda L. Annals of Forest Science, 63(8), 897-904.

 Yu, Q., Li, B., Nelson, C. D., McKeand, S. E., Batista, V. B., & Mullin, T. J. (2006). Association of the cad-n1 allele with increased stem growth and wood density in full-sib families of loblolly pine. Tree Genetics & Genomes, 2(2), 98-108.

 Isik, F., Boos, D. D., & Li, B. L. (2005). The distribution of genetic parameter estimates and confidence intervals from small disconnected diallels. Theoretical and Applied Genetics, 110(7), 1236-1243.

 Li, S. Q., & Boyter, H. (2005). Washfastness improvement for heavy shade microdenier nylon 6,6 fabric. AATCC Review, 5(8), 36-40.

 Isik, F., Goldfarb, B., Lebude, A., Li, B. L., & McKeand, S. (2005). Predicted genetic gains and testing efficiency from two loblolly pine clonal trials. Canadian Journal of Forest Research, 35(7), 1754-1766.

 Sykes, R., Li, B. L., Hodge, G., Goldfarb, B., Kadla, J., & Chang, H. M. (2005). Prediction of loblolly pine wood properties using transmittance near-infrared spectroscopy. Canadian Journal of Forest Research, 35(10), 2423-2431.

 Lstiburek, M., Mullin, T. J., Mackay, T. F. C., Huber, D., & Li, B. (2005). Positive assortative mating with family size as a function of predicted parental breeding values. Genetics, 171(3), 1311-1320.

 Li, B., & McKeand, S. E. (2005). Forest genetics and tree breeding in the age of genomics--IUFRO Conference. Forest Genetics, 12(2), 141-143.

 Isik, F., Li, B. L., Frampton, J., & Goldfarb, B. (2004). Efficiency of seedlings and rooted cuttings for testing and selection in Pinus taeda. Forest Science, 50(1), 44-53.

 Zhang, D., Zhang, Z., Yang, K., & Li, B. (2004). Genetic mapping in (Populus tomentosa x Populus bolleana) and P-tomentosa Carr. using AFLP markers. Theoretical and Applied Genetics, 108(4), 657-662.

 Xiang, B., Li, B., & Isik, F. (2004). Time trend of genetic parameters in growth traits of Pinus taeda L.Silvae Genetica, 52(3), 114-121.

 Zeng, W., Ghosh, S., & Li, B. L. (2004). A blocking Gibbs sampling method to detect major genes with phenotypic data from a diallel mating. Genetical Research, 83(2), 143-154.

 Kegley, A. J., Mckeand, S. E., & Li, B. L. (2004). Seedling evaluation of Atlantic coastal and piedmont sources of loblolly pine and their hybrids for height growth. Southern Journal of Applied Forestry, 28(2), 83-90.

 Lee, G. J., Boerma, H. R., Villagarcia, M. R., Zhou, X., Carter, T. E., Li, Z., & Gibbs, M. O. (2004). A major QTL conditioning salt tolerance in S-100 soybeanand descendent cultivars. Theoretical and Applied Genetics, 109(8), 1610-1619.

 Jansson, G., & Li, B. (2004). Genetic gains of full-sib families from disconnected diallels in loblolly pine.Silvae Genetica, 53(2), 60-64.

 Sykes, R., Isik, F., Li, B., Kadla, J., & Chang, H.-M. (2004). Genetic variation in physiochemical wood properties in loblolly pine (Pinus taeda L.). TAPPI Journal, 2(12), 3-8.

 Isik, F., Li, B. L., & Frampton, J. (2003). Estimates of additive, dominance and epistatic genetic variances from a clonally replicated test of loblolly pine. Forest Science, 49(1), 77-88.

 Hu, X. S., & Li, B. L. (2003). On migration load of seeds and pollen grains in a local population.Heredity, 90(2), 162-168.

 Xiang, B., Li, B. L., & McKeand, S. (2003). Genetic gain and selection efficiency of loblolly pine in three geographic regions. Forest Science, 49(2), 196-208.

 Zeng, W., & Li, B. L. (2003). Simple tests for detecting segregation of major genes with phenotypic data from a diallel mating. Forest Science, 49(2), 268-278.

 McKeand, S. E., Amerson, H. V., Li, B., & Mullin, T. J. (2003). Families of loblolly pine that are the most stable for resistance to fusiform rust are the least predictable. Canadian Journal of Forest Research, 33(7), 1335-1339.

 Hu, X. S., Zeng, W., & Li, B. L. (2003). Impacts of one-way gene flow on genetic variance components in a natural population. Silvae Genetica, 52(1), 18-24.

 Jansson, G., Li, B. L., & Hannrup, B. (2003). Time trends in genetic parameters for height and optimal age for parental selection in Scots pine. Forest Science, 49(5), 696-705.

 Xiang, B., & Li, B. L. (2003). Best linear unbiased prediction of clonal breeding values and genetic values from full-sib mating designs. Canadian Journal of Forest Research, 33(10), 2036-2043.

 Sykes, R., Isik, F., Li, B. L., Kadla, J., & Chang, H. M. (2003). Genetic variation of juvenile wood properties in a loblolly pine progeny test. TAPPI Journal, 2(12), 08-Mar.

 Isik, F., & Li, B. L. (2003). Rapid assessment of wood density of live trees using the Resistograph for selection in tree improvement programs. Canadian Journal of Forest Research, 33(12), 2426-2435.

 Isik, F., & Li, B.-L. (2003). Time trend of genetic parameter estimates in growth traits of Pinus Taeda L.Silvae Genetica, 52, 114-121.

 Isik, F., Isik, K., Yildirim, T., & Li, B. L. (2002). Annual shoot growth components related to growth of Pinus brutia. Tree Physiology, 22(1), 51-58.

 Hu, X. S., & Li, B. (2002). Seed and pollen flow and cline discordance among genes with different modes of inheritance. Heredity, 88(2002 Mar), 212-217.

 Hu, X. S., & Li, B. (2002). Linking evolutionary quantitative genetics to the conservation of genetic resources in natural forest populations. Silvae Genetica, 51(5-6), 177-183.

 Hu, X. S., & Li, B. (2001). Assessment of the ratio of pollen to seed flow in a cline for genetic variation in a quantitative trait. Heredity, 87(2001 Oct), 400-409.

 Xiang, B., & Li, B. L. (2001). A new mixed analytical method for genetic analysis of diallel data.Canadian Journal of Forest Research, 31(12), 2252-2259.

 Olsson, T., Lindgren, D., & Li, B. (2001). Balancing genetic gain and relatedness in seed orchards.Silvae Genetica, 50(5-6), 222-227.

 Frampton, J., Li, B., & Goldfarb, B. (2000). Early field growth of loblolly pine rooted cuttings and seedlings. Southern Journal of Applied Forestry, 24(2), 98-105.

 Li, B., McKeand, S., & Weir, R. (2000). Impact of forest genetics on sustainable forestry: results from two cycles of loblolly pine breeding in the U.S. Journal of Sustainable Forestry, 10(1/2), 79-85.

 Wu, R. L., & Li, B. L. (2000). A quantitative genetic model for analyzing species differences in outcrossing species. Biometrics, 56(4), 1098-1104.