Works matching AU Harry X. Wu
Results: 87
In Quest of Institutional Interpretation of TFP Change—The Case of China.
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- Man & the Economy, 2019, v. 6, n. 2, p. N.PAG, doi. 10.1515/me-2018-0015
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- Article
Development of an Advanced-Generation Multi-Objective Breeding Population for the 4th Cycle of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook.).
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- Forests (19994907), 2023, v. 14, n. 8, p. 1658, doi. 10.3390/f14081658
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Non-Destructive Assessment of Wood Stiffness in Scots Pine (Pinus sylvestris L.) and its Use in Forest Tree Improvement.
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- Forests (19994907), 2019, v. 10, n. 6, p. 491, doi. 10.3390/f10060491
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Method for accurate fiber length determination from increment cores for large-scale population analyses in Norway spruce.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2016, v. 70, n. 9, p. 829, doi. 10.1515/hf-2015-0138
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Seasonal reorganization of the xylem transcriptome at different tree ages reveals novel insights into wood formation in Pinus radiata.
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- New Phytologist, 2010, v. 187, n. 3, p. 764, doi. 10.1111/j.1469-8137.2010.03333.x
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Performance of Seven Tree Breeding Strategies Under Conditions of Inbreeding Depression.
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- G3: Genes | Genomes | Genetics, 2016, v. 6, n. 3, p. 529, doi. 10.1534/g3.115.025767
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Performance of Seven Tree Breeding Strategies Under Conditions of Inbreeding Depression.
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- G3: Genes | Genomes | Genetics, 2016, v. 6, n. 1, p. 529, doi. 10.1534/g3.115.025767
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Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production.
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- GCB Bioenergy, 2020, v. 12, n. 10, p. 848, doi. 10.1111/gcbb.12723
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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.
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- Plant Journal, 2024, v. 117, n. 3, p. 944, doi. 10.1111/tpj.16535
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Benefits and risks of using clones in forestry – a review.
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- Scandinavian Journal of Forest Research, 2019, v. 34, n. 5, p. 352, doi. 10.1080/02827581.2018.1487579
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General and specific combining ability from partial diallels of radiata pine: implications for utility of SCA in breeding and deployment populations.
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- Theoretical & Applied Genetics, 2004, v. 108, n. 8, p. 1503, doi. 10.1007/s00122-004-1598-8
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Transcriptome profiling of radiata pine branches reveals new insights into reaction wood formation with implications in plant gravitropism.
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- BMC Genomics, 2013, v. 14, n. 1, p. 1, doi. 10.1186/1471-2164-14-768
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A transcriptome-based association study of growth, wood quality, and oleoresin traits in a slash pine breeding population.
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- PLoS Genetics, 2022, v. 18, n. 2, p. 1, doi. 10.1371/journal.pgen.1010017
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Effect of additive, dominant and epistatic variances on breeding and deployment strategy in Norway spruce.
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- Forestry: An International Journal of Forest Research, 2022, v. 95, n. 3, p. 416, doi. 10.1093/forestry/cpab052
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MicroRNA and cDNA-Microarray as Potential Targets against Abiotic Stress Response in Plants: Advances and Prospects.
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- Agronomy, 2022, v. 12, n. 1, p. 11, doi. 10.3390/agronomy12010011
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Genetic architecture behind developmental and seasonal control of tree growth and wood properties in Norway spruce.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.927673
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The impact of the digital economy on China's economic growth and productivity performance.
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- China Economic Journal, 2022, v. 15, n. 2, p. 153, doi. 10.1080/17538963.2022.2067689
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How fast has Chinese industry grown? – The upward bias hypothesis revisited.
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- China Economic Journal, 2013, v. 6, n. 2/3, p. 80, doi. 10.1080/17538963.2013.860678
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Balancing Breeding for Growth and Fecundity in Radiata Pine (Pinus radiata D. Don) Breeding Programme.
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- Evolutionary Applications, 2021, v. 14, n. 3, p. 834, doi. 10.1111/eva.13164
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A STORY BEHIND EACH NUMBER.
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- 2010
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- Obituary
MEASURING GROWTH, PRODUCTIVITY, INCOME DISTRIBUTION AND POVERTY IN TRANSITION ECONOMIES: PROGRESS, CHALLENGES AND PROSPECTS.
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- Review of Income & Wealth, 2009, v. 55, p. 413, doi. 10.1111/j.1475-4991.2009.00324.x
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MORE COSTLY OR MORE PRODUCTIVE? MEASURING CHANGES IN COMPETITIVENESS IN MANUFACTURING ACROSS REGIONS IN CHINA.
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- Review of Income & Wealth, 2009, v. 55, p. 514, doi. 10.1111/j.1475-4991.2009.00329.x
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How Fast Has Chinese Industry Grown?—Measuring The Real Output Of Chinese Industry, 1949–97.
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- Review of Income & Wealth, 2002, v. 48, n. 2, p. 179, doi. 10.1111/1475-4991.00047
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CHINA'S GDP LEVEL AND GROWTH PERFORMANCE: ALTERNATIVE ESTIMATES AND THE IMPLICATIONS.
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- Review of Income & Wealth, 2000, v. 46, n. 4, p. 475, doi. 10.1111/j.1475-4991.2000.tb00412.x
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THE "REAL" CHINESE GROSS DOMESTIC PRODUCT (GDP) FOR THE PRE-REFORM PERIOD 1952-77.
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- Review of Income & Wealth, 1993, v. 39, n. 1, p. 63, doi. 10.1111/j.1475-4991.1993.tb00438.x
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Evaluation of the efficiency of genomic versus pedigree predictions for growth and wood quality traits in Scots pine.
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- BMC Genomics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12864-020-07188-4
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Effect of number of annual rings and tree ages on genomic predictive ability for solid wood properties of Norway spruce.
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- BMC Genomics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12864-020-6737-3
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Comparative genomics reveals conservative evolution of the xylem transcriptome in vascular plants.
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- BMC Evolutionary Biology, 2010, v. 10, p. 190, doi. 10.1186/1471-2148-10-190
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Genomic Predictions With Nonadditive Effects Improved Estimates of Additive Effects and Predictions of Total Genetic Values in Pinus sylvestris.
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- Frontiers in Plant Science, 2021, v. 12, p. 1, doi. 10.3389/fpls.2021.666820
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The methylation landscape of giga-genome and the epigenetic timer of age in Chinese pine.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-37684-6
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Household Income Determination and Regional Income Differential in Rural China.
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- Asian Economic Journal, 1998, v. 12, n. 1, p. 35, doi. 10.1111/1467-8381.00052
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Household Grain Consumption in China: Effects of Income, Price and Urbanization.
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- Asian Economic Journal, 1997, v. 11, n. 3, p. 325, doi. 10.1111/1467-8381.113040
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Publisher Correction: Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis.
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- 2021
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- Correction Notice
Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis.
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- Genome Biology, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s13059-021-02392-1
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Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis.
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- Genome Biology, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s13059-021-02392-1
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- Article
Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis.
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- Genome Biology, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s13059-021-02392-1
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- Article
Inheritance of density, microfibril angle, and modulus of elasticity in juvenile wood of Pinus radiata at two locations in Australia.
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- Canadian Journal of Forest Research, 2007, v. 37, n. 11, p. 2164, doi. 10.1139/X07-061
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Developing breeding objectives for radiata pine structural wood production. I. Bioeconomic model and economic weights.
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- Canadian Journal of Forest Research, 2006, v. 36, n. 11, p. 2920, doi. 10.1139/X06-161
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Developing breeding objectives for radiata pine structural wood production. II. Sensitivity analyses.
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- Canadian Journal of Forest Research, 2006, v. 36, n. 11, p. 2932, doi. 10.1139/X06-162
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- Article
Efficiency of early selection for rotation-aged growth and wood density traits in Pinus radiata.
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- Canadian Journal of Forest Research, 2005, v. 35, n. 8, p. 2019, doi. 10.1139/X05-134
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- Article
The Transcriptional Landscape and Hub Genes Associated with Physiological Responses to Drought Stress in Pinus tabuliformis.
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- International Journal of Molecular Sciences, 2021, v. 22, n. 17, p. 9604, doi. 10.3390/ijms22179604
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Genome-wide TCP transcription factors analysis provides insight into their new functions in seasonal and diurnal growth rhythm in Pinus tabuliformis.
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- BMC Plant Biology, 2022, v. 22, n. 1, p. 1, doi. 10.1186/s12870-022-03554-4
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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.
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- BMC Genomics, 2018, v. 19, n. 1, p. 1, doi. 10.1186/s12864-018-5256-y
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Correction: 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.
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- 2024
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- Correction Notice
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.
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- BMC Genomic Data, 2024, v. 25, n. 1, p. 1, doi. 10.1186/s12863-024-01241-x
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Increased Prediction Ability in Norway Spruce Trials Using a Marker X Environment Interaction and Non-Additive Genomic Selection Model.
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- Journal of Heredity, 2019, v. 110, n. 7, p. 830, doi. 10.1093/jhered/esz061
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Has China’s fast industrial growth been efficient? An industry-level investigation with a newly constructed data set.
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- Applied Economics, 2015, v. 47, n. 40, p. 4275, doi. 10.1080/00036846.2015.1026589
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Development of a highly efficient 50K single nucleotide polymorphism genotyping array for the large and complex genome of Norway spruce (Picea abies L. Karst) by whole genome resequencing and its transferability to other spruce species.
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- Molecular Ecology Resources, 2021, v. 21, n. 3, p. 880, doi. 10.1111/1755-0998.13292
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Changes in the Occupational Structure of Chinese Workforce in the Course of China’s Industrialization and Urbanization, 1912-1952.
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- Economic Review / Keizai Kenkyū, 2016, v. 67, n. 1, p. 47
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The Growth of “Non-material Services” in China -- Maddison’s “Zero-Labor-Productivity-Growth” Hypothesis Revisited --.
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- Economic Review / Keizai Kenkyū, 2014, v. 65, n. 3, p. 265
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- Article