Evidence map›Paper›PMID 36650887›Full record

ArticleForest ecology and management2023

Development of a universal height response model for transfer of Norway spruce (

Mateusz Liziniewicz, Mats Berlin, Thomas Solvin, Henrik R Hallingbäck, Matti Haapanen, Seppo Ruotsalainen, Arne Steffenrem

Abstract read
In one paragraph

Article in Forest ecology and management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mateusz LiziniewiczThe Forestry Research Institute of Sweden (Skogforsk), Ekebo, Sweden.
Mats BerlinThe Forestry Research Institute of Sweden (Skogforsk), Uppsala, Sweden.
Thomas SolvinNorwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway.
Henrik R HallingbäckThe Forestry Research Institute of Sweden (Skogforsk), Uppsala, Sweden.
Matti HaapanenNatural Resources Institute Finland (Luke), Helsinki, Finland.
Seppo RuotsalainenNatural Resources Institute Finland (Luke), Savonlinna, Finland.
Arne SteffenremNorwegian Institute of Bioeconomy Research (NIBIO), Steinkjer, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Norway spruce is a major industrial tree species in Fennoscandia and future productivity of the species must be secured by matching the variation in adaptation of the species with suitable sites for optimized performance. An appropriate transfer model for forest reproductive material (FRM) is crucial for regeneration of productive forests in the changing climatic conditions that are predicted to occur in Fennoscandia. We have developed a transfer model for prediction of height of Norway spruce in Norway, Sweden, and Finland, using data acquired from 438 progeny and provenance trials with 1919 genetic entries of local and transferred origins. Transfer of genetic material at a given site was expressed in terms of the difference in daylength (photoperiod) between the site and its origin. This variable best reflected the nonlinear response to transfer that has been commonly reported in previous studies. Apart from the transfer variable, the height prediction model included the age of material when height measurements were acquired, annual temperature sum over 5 °C, precipitation during the vegetation period, and interaction terms between test site and transfer variables. The results show that long northward transfers (4-5° latitude) seem to be optimal for relatively mild sites in southern parts of the countries where growing season is longer, and shorter northward transfers (2-4° latitude) for harsher northern sites with shorter growing seasons. The transfer model also predicts that southward transfers of Norway spruce would result in height growth reductions. The developed model provides foundations for development of common or national recommendations for genetically improving Norway spruce material in Fennoscandia.

Identifiers

PMID36650887
PMCPMC9720906

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.