@article{xiang_li_isik_2004, title={Time trend of genetic parameters in growth traits of Pinus taeda L.}, volume={52}, number={3}, journal={Silvae Genetica}, author={Xiang, B. and Li, B. and Isik, F.}, year={2004}, pages={114–121} }
 @article{xiang_li_2003, title={Best linear unbiased prediction of clonal breeding values and genetic values from full-sib mating designs}, volume={33}, ISSN={["0045-5067"]}, DOI={10.1139/X03-118}, abstractNote={ Full-sib progeny tests with clonal replicates may provide better breeding value estimates and the greatest genetic gain in a tree improvement program. Clonal breeding values (CBV) that combine the family and within-family breeding values due to additive genetic effects can maximize the genetic gain for advanced generation breeding. Clonal genetic values (CGV) that further incorporate full-sib family specific combining ability due to nonadditive genetic effect can maximize gain for a deployment program with clonal propagation techniques. The best linear unbiased prediction (BLUP) is the best statistical method for estimating both CBV and CGV because of its desirable statistical properties compared with the heritability-based gain calculation. A BLUP method for determining both the CBV and CGV for full-sib clonal progeny tests was proposed in this paper. The formulas for CBV and CGV were derived using general BLUP methodology, and formulas were derived for the calculations of their standard errors. An analytical method by using a standard statistical package (SAS PROC MIXED) was presented for CBV and CGV calculations from any full-sib mating designs. }, number={10}, journal={CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE}, author={Xiang, B and Li, BL}, year={2003}, month={Oct}, pages={2036–2043} }
 @article{xiang_li_mckeand_2003, title={Genetic gain and selection efficiency of loblolly pine in three geographic regions}, volume={49}, number={2}, journal={Forest Science}, author={Xiang, B. and Li, B. L. and McKeand, S.}, year={2003}, pages={196–208} }
 @article{karnosky_percy_xiang_callan_noormets_mankovska_hopkin_sober_jones_dickson_et al._2002, title={Interacting elevated CO2 and tropospheric O-3 predisposes aspen (Populus tremuloides Michx.) to infection by rust (Melampsora medusae f. sp tremuloidae)}, volume={8}, ISSN={["1365-2486"]}, DOI={10.1046/j.1354-1013.2002.00479.x}, abstractNote={Abstract}, number={4}, journal={GLOBAL CHANGE BIOLOGY}, author={Karnosky, DF and Percy, KE and Xiang, BX and Callan, B and Noormets, A and Mankovska, B and Hopkin, A and Sober, J and Jones, W and Dickson, RE and et al.}, year={2002}, month={Apr}, pages={329–338} }
 @article{xiang_li_2001, title={A new mixed analytical method for genetic analysis of diallel data}, volume={31}, DOI={10.1139/cjfr-31-12-2252}, abstractNote={Diallel is a popular mating design used for crop and tree breeding programs, but its unique feature of a single observation with two levels of the same main effect, general combining ability (GCA), makes it difficult to analyze with standard statistical programs. A new approach using the SAS PROC MIXED is developed in this study for analyzing genetic data from diallel mating. Dummy variables for GCA effects were first constructed with SAS PROC IML, then PROC MIXED procedure was used to estimate variance components and to obtain BLUE (best linear unbiased estimators) of fixed effects and BLUP (best linear unbiased predictors) of random genetic effects (GCA and specific combining ability (SCA) effects) simultaneously. The new method can also be used for predicting individual breeding values with BLUP methodology, applying SAS IML to the outputs provided by PROC MIXED to calculate breeding value for each individual in the progeny test, adjusted for the fixed effects such as test location. The accurate BLUP prediction, the ability to estimate individual breeding values, and the ease of use would make this new method especially attractive for analyzing tree breeding data.}, number={12}, journal={Canadian Journal of Forest Research}, author={Xiang, B. and Li, B. L.}, year={2001}, pages={2252–2259} }