Genetic Worth Effect Models for Boreal Conifers and Their Utility When Integrated into Density Management Decision-Support Systems
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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53473#.VMX5gyzQrzE
ABSTRACT
Based
on approaches deduced from previous research findings and empirical
observations from density control experiments, genetic worth effect
response models were developed for black spruce (Picea mariana (Mill) BSP.) and jack pine (Pinus banksiana
Lamb.) plantations. The models accounted for the increased rate of
stand development arising from the planting of genetically-improved
stock through temporal adjustments to the species-specific site-based
mean dominant height-age functions. The models utilized a relative
height growth modifier based on known estimates of genetic gain. The
models also incorporated a phenotypic juvenile age-mature age
correlation function in order to account for the intrinsic temporal
decline in the magnitude of genetic worth effects throughout the
rotation. Integrating the functions into algorithmic variants of
structural stand density management models produced stand development
patterns that were consistent with axioms of even-aged stand dynamics.
KEYWORDS
Picea mariana, Pinus banksiana, Structural Stand Density Management Models, Phenotypic Juvenile Age-Mature Age Correlation, Canadian Boreal Forest Region
Cite this paper
References
Newton,
P. (2015) Genetic Worth Effect Models for Boreal Conifers and Their
Utility When Integrated into Density Management Decision-Support
Systems. Open Journal of Forestry, 5, 105-115. doi: 10.4236/ojf.2015.51011.
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