Ideotype Development in Southern Pines: Rationale and Strategies for Overcoming Scale-Related Obstacles
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[1] Rongling Wu. Simulated optimal structure of a photosynthetic system: implication for the breeding of forest crop ideotype , 1993 .
[2] B. Bond,et al. Shoot and root vulnerability to xylem cavitation in four populations of Douglas-fir seedlings. , 1999, Tree physiology.
[3] Lawrence B. Flanagan,et al. Differential uptake of summer precipitation among co‐occurring trees and shrubs in a pinyon‐juniper woodland , 1992 .
[4] W. Cropper. SPM2: A simulation model for slash pine (Pinus elliottii) forests , 2000 .
[5] J. D. Kelley. Interrelationship of Plant Architecture and Yield Components in the Pinto Bean Ideotype , 1993 .
[6] L. Flanagan,et al. Genetic variation in carbon isotope discrimination and its relationship to growth under field conditions in full-sib families of Picea mariana , 1995 .
[7] N. T. Mirov. Meristems, Growth, and Development in Woody Plants. , 1964, Science.
[8] C. Lambeth,et al. Early selection is effective in 20 year old genetic tests of Loblolly fine , 1983 .
[9] R. P. Schultz,et al. Loblolly pine: the ecology and culture of loblolly pine ( Pinus taeda L.) , 1997 .
[10] Eric J. Jokela,et al. Canopy Dynamics, Light Interception, and Radiation Use Efficiency of Selected Loblolly Pine Families , 1998, Forest Science.
[11] H. W. Polley,et al. Genetic variation for carbon isotope composition in honey mesquite (Prosopis glandulosa). , 1999, Tree physiology.
[12] S. McKeand. Optimum Age For Family Selection for Growth in Genetic Tests of Loblolly Pine , 1988, Forest Science.
[13] B. Ewers,et al. CARRY-OVER EFFECTS OF WATER AND NUTRIENT SUPPLY ON WATER USE OF PINUS TAEDA , 1999 .
[14] G. Parker,et al. Structure and microclimate of forest canopies. , 1995 .
[15] R. Rousseau,et al. Eastern cottonwood clonal mixing study: intergenotypic competition effects , 1998 .
[16] A. Granier,et al. Evaluation of transpiration in a Douglas-fir stand by means of sap flow measurements. , 1987, Tree physiology.
[17] D. Smith,et al. Stable transformation and regeneration of transgenic plants of Pinus radiata D. Don , 1998, Plant Cell Reports.
[18] C. Donald,et al. The Biological Yield and Harvest Index of Cereals as Agronomic and Plant Breeding Criteria , 1976 .
[19] R. Timmis,et al. Biotechnology of Forest Yield , 1983, Science.
[20] Steven W. Running,et al. Analysis of carbon and water fluxes from the NOPEX boreal forest: comparison of measurements with FOREST-BGC simulations , 1998 .
[21] Robert O. Teskey,et al. MAESTRO Simulations of the Response of Loblolly Pine to Elevated Temperatures and Carbon Dioxide , 1998 .
[22] R. Burdon. Early selection in tree breeding: principles for applying index selection and inferring input parameters , 1989 .
[23] C. Nali,et al. Photosynthesis of two poplar clones contrasting in O3 sensitivity , 1998, Trees.
[24] K. Niklas,et al. Theories of optimization, form and function in branching architecture in plants , 1995 .
[25] N. Livingston,et al. Rates of stomatal opening in conifer seedlings in relation to air temperature and daily carbon gain , 1997 .
[26] Harold E. Burkhart,et al. A Linked Model for Simulating Stand Development and Growth Processes of Loblolly Pine , 1998 .
[27] D. C. Malcolm,et al. The ecology of even-aged forest plantations. , 1979 .
[28] E. D. Ford,et al. Growth of a Sitka Spruce Plantation: Analysis and Stochastic Description of the Development of the Branching Structure , 1978 .
[29] Graham D. Farquhar,et al. Carbon Isotope Fractionation and Plant Water-Use Efficiency , 1989 .
[30] J. Loo-Dinkins,et al. Statistical efficiency of six progeny test field designs on three loblolly pine (Pinustaeda L.) site types , 1987 .
[31] F. Cubbage,et al. Positive Returns from Investment in Fusiform Rust Research , 1997 .
[32] M. Cannell. Biological opportunities for genetic improvement in forest productivity , 1979 .
[33] P. P. Cotterill,et al. Successful Tree Breeding With Index Selection , 1989 .
[34] S. Fan,et al. Relationships between gas exchange and carbon isotope discrimination of Sitka x interior spruce introgressive genotypes and ribosomal DNA markers. , 1999, Tree physiology.
[35] K. Johnsen,et al. Family variation in photosynthesis of 22-year-old black spruce: a test of two models of physiological response to water stress , 1996 .
[36] T. White,et al. Test designs and optimum age for parental selection in advanced-generation progeny tests of slash pine , 1992 .
[37] E. D. Ford. High Productivity in a Polestage Sitka Spruce Stand and its Relation to Canopy Structure , 1982 .
[38] Robert A. Mickler,et al. The Productivity and Sustainability of Southern Forest Ecosystems in a Changing Environment , 1998, Ecological Studies.
[39] C. Field,et al. Scaling physiological processes: leaf to globe. , 1995 .
[40] M. Cannell,et al. Attributes of trees as crop plants , 1985 .
[41] L. Flanagan,et al. Genetic variation in growth, carbon isotope discrimination, and foliar N concentration in Picea mariana: analyses from a half-diallel mating design using field-grown trees , 1999 .
[42] Timothy L. White,et al. An advanced-generation tree improvement plan for slash pine in the southeastern United States , 1993 .
[43] J. A. Romberger. Plant Physiology. (Biological and Medical Sciences: Meristems, Growth, and Development in Woody Plants. An analytical review of anatomical, physiological, and morphogenic aspects) , 1963 .
[44] J. Ehleringer,et al. Responses of boreal conifers to climate fluctuations: indications from tree-ring widths and carbon isotope analyses , 1998 .
[45] J. Talbert,et al. Index selection for increased dry weight in a young loblolly pine population , 1983 .
[46] R. Stettler,et al. Molecular genetics of growth and development in populus. IV. Mapping QTLs with large effects on growth, form, and phenology traits in a forest tree. , 1995, Genetics.
[47] R. Ceulemans,et al. Crown conductance and tree and stand transpiration in a second growth **Abies amabilis** forest , 1997 .
[48] R. Waring,et al. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning , 1997 .
[49] A. Kremer,et al. Genetic control of height growth components in Jack pine seedlings , 1983 .
[50] R. Ceulemans,et al. A fractal-based Populus canopy structure model for the calculation of light interception , 1994 .
[51] J. Marshall,et al. Stable carbon isotope discrimination, photosynthetic gas exchange, and growth differences among western larch families. , 1994, Tree physiology.
[52] K. Johnsen,et al. Gas exchange of 20-year-old black spruce families displaying a genotype × environment interaction in growth rate , 1995 .
[53] B. Bongarten. Relationships between shoot length and shoot length components in Douglas-fir and blue spruce , 1986 .
[54] R. A. Schmidt,et al. Temporal and Spatial Patterns of Fusiform Rust Epidemics in Young Plantations of Susceptible and Resistant Slash and Loblolly Pines , 1986 .
[55] R. McMurtrie,et al. Environmental constraints on the structure and productivity of pine forest ecosystems : a comparative analysis , 1994 .
[56] Henry L. Gholz,et al. Simulation of the carbon dynamics of a Florida slash pine plantation , 1993 .
[57] E. D. Ford. Branching, crown structure and the control of timber production , 1985 .
[58] Kurt H. Johnsen,et al. Applying 3-PG, a Simple Process-Based Model Designed to Produce Practical Results, to Data from Loblolly Pine Experiments , 2001, Forestry sciences.
[59] S. Wofsy,et al. Modelling the soil-plant-atmosphere continuum in a Quercus-Acer stand at Harvard Forest : the regulation of stomatal conductance by light, nitrogen and soil/plant hydraulic properties , 1996 .
[60] H. L. Allen,et al. Fascicle nutrient and biomass responses of young loblolly pine to control of woody and herbaceous competitors , 1999 .
[61] E. D. Ford. The Control of Tree Structure and Productivity Through the Interaction of Morphological Development and Physiological Processes , 1992, International Journal of Plant Sciences.
[62] T. C. Hennessey,et al. Provenance variation in carbon isotope discrimination of mature ponderosa pine trees at two locations in the Great Plains. , 2000 .
[63] P. Tigerstedt,et al. Definition and exploitation of forest tree ideotypes in Finland , 1985 .
[64] Paul G. Jarvis,et al. Description and validation of an array model - MAESTRO. , 1990 .
[65] N. Jackson,et al. On index selection. I. Methods of determining economic weight. , 1985 .
[66] S. McKeand,et al. A Strategy for the Third Breeding Cycle of Loblolly Pine in the Southeastern U.S. , 1998 .
[67] H. Grüneberg,et al. Introduction to quantitative genetics , 1960 .
[68] R. L. Wu,et al. Genetic mapping of QTLs affecting tree growth and architecture in Populus: implication for ideotype breeding , 1998, Theoretical and Applied Genetics.
[69] D. I. Dickmann,et al. The ideotype concept and the genetic improvement of tree crops , 1994 .
[70] D. R. Marshall. Alternative approaches and perspectives in breeding for higher yields , 1991 .