2023
DOI: 10.46490/bf682
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Advancing height growth models for the improved forest reproductive material of the main tree species in Latvia

Abstract: The breeding of economically important forest tree species in the Baltic Sea region has contributed notably to the availability of quality wood for bioeconomy. Accordingly, the altered stand dynamics of improved trees should be identified and incorporated in growth models to accurately reflect these gains. Such advanced models can be used for assessment of different alternatives, e.g. strategies for increased carbon sequestration. We tested and modified dynamic forms of the King-Prodan height growth function b… Show more

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Cited by 2 publications
(1 citation statement)
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“…These initiatives have resulted in a few attempts to predict future genetic gains using estimates of quantitative genetic parameters (Danell and Werner 1991;Rosvall et al 2000;Gailis et al 2020). Other studies have addressed the growth of clone-propagated birch stands (Liziniewicz et al 2022) and improved birches representing two different levels of genetic improvement (Zeltiņš et al 2022). However, there is a general shortage of studies focusing on realised gains based on direct comparisons of representative, commercially deployed improved and unimproved birch materials growing in similar circumstances.…”
Section: Introductionmentioning
confidence: 99%
“…These initiatives have resulted in a few attempts to predict future genetic gains using estimates of quantitative genetic parameters (Danell and Werner 1991;Rosvall et al 2000;Gailis et al 2020). Other studies have addressed the growth of clone-propagated birch stands (Liziniewicz et al 2022) and improved birches representing two different levels of genetic improvement (Zeltiņš et al 2022). However, there is a general shortage of studies focusing on realised gains based on direct comparisons of representative, commercially deployed improved and unimproved birch materials growing in similar circumstances.…”
Section: Introductionmentioning
confidence: 99%