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Annual height increment (AHI) and its two components, number of stem units (NSU) and mean stem unit length (MSUL), were measured when both components were developing simultaneously during the first season and when preceded by a rest period during the second season. Plant material consisted of 20 open-pollinated Pinus banksiana families comprising four provenances in the Lake States region. The seedlings were grown the first season in two controlled environment rooms that differed only in temperature, and they were grown the second season in a greenhouse. Measurements were made at the end of each growing season. In addition, seeds of each family were dissected and seedcoat, endosperm and embryo weights were obtained. Based on seed class effects, there was no maternal effect on height growth parameters (AHI, NSU, MSUL) for the two growing seasons. Provenance effects, detected only during the second season, were significant for NSU and AHI; MSUL was controlled primarily by family-within-provenance effects. NSU and MSUL were negatively correlated both on an environmental and genetic basis during both seasons. NSU was a better predictor of AHI on a provenance level, whereas MSUL was a slightly better predictor on a family-within-provenance level. Path analyses computed on family mean values showed that the path coefficient corresponding to MSUL was slightly superior to that corresponding to NSU. A significant part of both path coefficients was due to the negative correlation between the two components. Forest Sci. 29:451-464.
Chief Plant Physiologist, USDA Forest Service, North Central Forest Experiment Station, Rhinelander, Wisconsin 54501
Publication date: September 1, 1983
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Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.