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GCA Variance Components in 36 Pinus sylvestris L. Full-Sib Families Cultivated at Five Nutrient Levels in a Growth Chamber

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Seedlings belonging to 36 families from a partial diallel mating between 11 parents of Scots pine (Pinus sylvestris L.) were cultivated for three growth periods in growth chambers at five different nutrient levels in the range 5-45 mg N/l. The relation between N:K:P was always 100:65:13. Several growth, growth component, and quality characters were assessed, mainly during the third growth period. ANOVAs were run to estimate GCA and SCA variance components at each treatment level and on pooled data from all five or the four higher nutrient treatments. In the two latter the interaction GCA x nutrient treatment variance component was also estimated. For most growth and growth component characters, the highest values of GCA variance component were found at the intermediate nutrient treatments (25 and 35 mg N/l). This phenomenon was less pronounced for quality characters. The SCA was in most cases of less importance than the GCA. ANOVAs based on pooled data from all treatments resulted in GCA x treatment variance components which were mostly a few times smaller than the GCA variance component. This interaction became negligible when the lowest nutrient treatment was dropped from the analyses. For. Sci. 38(3):575-593.
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Keywords: GCA x nutrient treatment variance component; SCA; Scots pine; early growth; growth components; quality traits

Document Type: Journal Article

Affiliations: Senior Lecturer, Department of Mathematics, University of Uppsala, Thunbergsvägen 3, S-752 38 Uppsala, Sweden

Publication date: 1992-08-01

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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.
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    June 1, 2016 to Feb. 28, 2017

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