Genetic variation in Pinus brutia Ten.: Wood density traits

Abstract

Trees in two provenance-progeny experimental sites of Pinus brutia Ten. were sampled to study variation in wood density and its components among and within six populations and to estimate heritability of wood density and ring components. Wood increment cores (12 mm thick) were collected from 29-year-old trees at breast height. A total of 1023 wood strips were scanned with the X-ray densitometry technique. There were significant differences among populations and among families (within populations) in all the characters studied. Murtbeli (M) population from the middle altitude (486 m asl) had the highest values in both ring-area-weighted density and late wood proportion (500 ± 2.7 kg/ m3 and 49 ± 0.3 %, respectively), whereas Hacibekar (H) population from the highest altitude (1032 m asl) exhibited the lowest values (468 ± 3.0 kg/ m3, 42 ± 0.3 %). Relatively high heritability values (hi2 between 0.45 and 0.74; hhs2 between 0.68 and 0.80) for investigated characters (except latewood density) suggest that these characteristics are under moderate to strong genetic control, and thus, by selecting populations (and families within populations) having high wood density, genetic improvement can be achieved in P. brutia. Correlations between wood density and other growth traits have indicated that simultaneous selection of desired genotypes for most of the wood density components is possible for the species. Latewood percentage and earlywood density present an optimal target for selection to improve wood density.

Usability of fractometer for the purpose of a practical preliminary assessment tool for wood density of Pinus brutia

“…Therefore, the relationship should be investigated on fresh samples (increment cores which keep their moisture content). There is a previously published work of the author on the same site (Guller et al 2011).…”

“…For the same species medium to high heritability values (hi 2 between 0,45 and 0,74; h hs 2 between 0,68 and 0,80) were reported for wood density (determined by x-ray densitometry) and ring density components (except for latewood density) suggesting that these characters are under moderate to strong genetic control, and thus, by selecting populations having high wood density would lead to genetic improvement can be achieved in red pine (Pinus brutia Ten.) (Guller et al 2011).There is a need to include wood quality traits in tree selection program to ensure future wood supplies that have the appropriate mechanical properties for primarily structural applications and other end uses.…”

A Design of Tree Micro Drill Instrument to Improve the Accuracy of Wood Density Measurement

“…A significant amount of research has been done to explore the use of the micro drill resistance instrument for various application such as tree-ring analysis [2,[5][6][7], tree age [3,8], wood density measurement [9][10][11][12][13], tree decay detection [14]and structural timber condition assessment [15]. Rinn et al demonstrated that Resistograph profiles of coniferous and deciduous wood can reveal density variations inside tree rings caused by earlywood and latewood.…”

“…The main reason is that the measurement accuracy of the micro drill resistance instrument is still lower than that of the increment corer. For example, Isik et al found that drill resistance had weak (0.29) to moderate (0.65) phenotypic correlations with density on an individual-tree [16], Guller et al found that there was still a significant difference between the ring width measured by the micro drill resistance instrument and the ring width measured by the increment corer [5]. In order to further improve the measurement accuracy of the micro drill resistance instrument, Academician Shouzheng Tang of the Chinese Academy of Sciences guided us to study the principle and application of the micro drill resistance instrument in 2017.…”