Evidence map›Paper›PMID 42271226›Full record

ArticleBMC plant biology2026

Provenance variations in wood traits of Larix kaempferi (Lamb.) Carr. and their relationships with growth parameters.

Yalin Zhang, Leiming Dong, Yunhui Xie, Dongsheng Chen, Xiaomei Sun

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yalin Zhang *State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.ORCID http://orcid.org/0000-0002-2854-382X
Leiming Dong *Key Laboratory of National Forestry and Grassland Administration On Plant Ex Situ Conservation, Beijing Floriculture Engineering Technology Research Centre, Beijing Botanical Garden, Beijing, 100093, China.ORCID http://orcid.org/0000-0003-0111-3720
Yunhui XieState Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.ORCID http://orcid.org/0000-0003-3865-1047
Dongsheng ChenState Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Xiaomei SunState Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China. xmsun@caf.ac.cn.ORCID http://orcid.org/0000-0002-1420-7403

Funding

National Key Research and Development Program of China 2022YFD2200302, 2022YFD2200103
6 · The paper itself

Abstract

backgroundUnderstanding genetic variations in wood traits and their relationships with dynamic growth is essential for optimizing tree breeding strategies. In this study, we investigated genetic control of 15 wood traits and the genetic associations of these traits with dynamic growth of tree height (H) and diameter at breast height (DBH) in Japanese larch (Larix kaempferi (Lamb.) Carr.), using data from 84 families from six Japanese provenances in a 22-year-old common garden experiment.

resultsThe Logistic model provided a good fit to the temporal dynamics of H and DBH. Substantial genetic variation was detected among provenances and families for most traits. Wood anatomical traits exhibited the highest coefficients of genotypic variation (up to 20.49%) and individual-tree heritabilities (0.39-0.80). Growth-related logistic parameters showed moderate heritability for DBH parameters (0.14-0.17) and low to moderate estimates for height parameters (< 0.12). Genetic correlation analyses revealed that the relative growth rate of DBH (DBH_r) was positively correlated with cellulose content and fiber width but negatively correlated with basic density. Height growth parameters displayed few significant correlations with wood traits.

conclusionsThese findings provide new insights into the genetic control of growth and wood formation, supporting the development of multi-trait selection strategies in L. kaempferi and other conifer breeding programs, such as selecting for families with both rapid early growth and desirable wood properties for solid and pulp wood products.

Indexed as

Genetic VariationLarixWoodGenotypePhenotypeGrowth parametersHeritabilityLarix kaempferiProvenance variationWood traits

Identifiers

PMID42271226
PMCPMC13480270

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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.