Torgny Persson, Bengt Andersson, Tore Ericsson. (2010). Relationship between autumn cold hardiness and field performance in northern Pinus sylvestris. Silva Fennica vol. 44 no. 2 article id 152. https://doi.org/10.14214/sf.152

Keywords: Scots pine; cold hardiness; genetic coefficient of variation; genetic correlation; multivariate analysis; narrow-sense heritability

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Results from 3 artificial freezing tests (one-year-old seedlings) and 15 field trials (9- to 21-year old trees) of half-sib offspring from first generation Scots pine (Pinus sylvestris L.) plus-trees were used to estimate the amount of additive genetic variance for autumn cold hardiness and traits assessed in the field, and the genetic correlations between them. Cold hardiness of individual seedlings was scored visually, based on the discoloration of their needles after freezing in a climate chamber. The field traits analyzed were tree vitality, tree height, spike knot frequency, branch diameter, branch angle, stem straightness, and susceptibility to infection by the pathogenic fungi Phacidium infestans L., Gremmeniella abietina (Lagerb.) Morelet, Melampsora pinitorqua (Braun) Rostr. and Lophodermella sulcigena (Rostr.) Höhn. Narrow sense individual heritabilities varied between 0.30 and 0.54 for autumn cold hardiness, 0 and 0.18 for tree vitality, 0.07 and 0.41 for tree height, and 0.01 and 0.26 for the remaining traits. Based on the results of the artificial freeze tests, our estimates of additive genetic correlations indicate that while early selection for cold hardiness can improve seedling survival rates in the field, it may also reduce growth in mild environments. It also has minor effects on quality traits and attack by common fungal diseases. The results indicate that artificial freeze testing is an appropriate method for identifying suitable clones for establishing seed orchards to supply stock for the reforestation of regions with harsh environments.

Persson, Forestry Research Institute of Sweden, Sävar, Sweden E-mail: torgny.persson@skogforsk.se
Andersson, Forestry Research Institute of Sweden, Sävar, Sweden E-mail: ba@nn.se
Ericsson, Forestry Research Institute of Sweden, Sävar, Sweden E-mail: te@nn.se

article id 170, category Research article

Ryoichi Doi, Senaratne L. Ranamukhaarachchi. (2009). Community-level physiological profiling in monitoring rehabilitative effects of Acacia auriculiformis plantation on degraded land in Sakaerat, Thailand. Silva Fennica vol. 43 no. 5 article id 170. https://doi.org/10.14214/sf.170

Keywords: multivariate analysis; Acacia auriculiformis; community-level physiological profile; land degradation and rehabilitation; soil bacterial community

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This study was conducted to investigate the rehabilitative effects of planting Acacia auriculiformis trees on degraded land by observing variations in soil bacterial community profiles provided by community-level physiological profiling. Soil bacterial and physicochemical comparisons between an original evergreen forest and the Acacia plantation plot, established on an area severely degraded as a result of deforestation, showed that most soil characteristics were rehabilitated 18 to 19 years after the plantation of Acacia according to single variables, Shannon and Simpson diversity indices based on the community-level physiological profiles, principal component analysis and redundancy analysis. However, a more strict statistical comparison, discriminant analysis, completely discriminated between the Acacia plantation and the evergreen forest soils when the community-level physiological profiles were compared. Thus, the Acacia plantation soil was shown to still be in the process to full recovery. Here, we discuss the relevance of planting A. auriculiformis in land rehabilitation schemes in savanna regions.

Doi, AFE Building, School of Environment, Resources and Development, Asian Institute of Technology, Pathumthani 12120, Thailand E-mail: roird@aeiou.pt
Ranamukhaarachchi, AFE Building, School of Environment, Resources and Development, Asian Institute of Technology, Pathumthani 12120, Thailand E-mail: slr@nn.th

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