#Individual tree heterozygosity genodive driver

The aim of the present study was to analyze tree shape variability in a mixed oak forest consisting of four European white oak species: Quercus petraea, Q. LiDAR technology is an efficient solution for capturing the characteristics of individual trees. The accuracy of the description regarding tree architecture is crucial for data processing. This issue needs to be further investigated. The significant relationship between Northern red oak branch angle traits and individual tree heterozygosity was unexpected, and at this time we do not have any validated explanation for this. Thus, stem quality and crown dimension can primarily be controlled by silvicultural interventions.

#Individual tree heterozygosity genodive driver

We conclude that competition, not genetics, is the main driver of Northern red oak stem and crown characteristics. Most other tree characteristics, including the number of bark anomalies and mean stem non-circularity and crown characteristics such as crown volume, crown surface area, or mean branch length of first order branches responded exclusively to competition. Mean or median branch angles as well as branch angle ranges of first order branches decreased with individual heterozygosity calculated group-wise for all markers (HoAll) and for EST-derived markers (HoEST). With these data the individual heterozygosity of the sample trees was calculated. In addition, individual-based heterozygosity was calculated based on microsatellite data obtained by analyzing twelve potentially adaptive genic (EST derived markers) and eight putatively selectively neutral nuclear microsatellite markers. To clarify this, we studied the architecture of 92 (pre-) dominant Northern red oak trees in five German federal states using the non-destructive terrestrial laser scanning method (TLS). However, outside its natural range, Northern red oak has to date been insufficiently studied both in terms of silviculture and genetics. In Europe, the non-native Northern red oak (Quercus rubra L.) is widely recommended for future cultivation.