Evidence map›Paper›PMID 41866491›Full record

ArticleBMC plant biology2026

Comprehensive evaluation and climate response analysis of Ginkgo biloba Linn. wood properties across different regions.

Tianhui Gao, Xiongjie Li, You Zhou, Jiazhou Shang, Yingkuo Ma, Jing Guo, Fangfang Fu, Guibin Wang

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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Tianhui GaoState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China.
Xiongjie LiState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China.
You ZhouState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China.
Jiazhou ShangState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China.
Yingkuo MaNatural Resources and Planning Bureau of Tancheng County, Linyi, 276000, China.
Jing GuoState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China.
Fangfang FuState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China.
Guibin WangState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China. guibinwang99@163.com.

Funding

Graduate Research and Innovation Projects of Jiangsu Province KYCX23_1245Jiangsu Provincial Key Research and Development Program BE2022373the Independent Research Project of State Key Laboratory of Tree Genetics and Breeding SKLTGBNJ2024-005
6 · The paper itself

Abstract

Ginkgo biloba is a valuable timber tree species, particularly suitable for high-end furniture manufacturing. Understanding the variations in its wood properties and their relationship with environmental factors is crucial for the selection and cultivation of superior timber germplasm. In this study, the analysis of 13 wood property indicators from 289 Ginkgo biloba across 20 regions revealed a relatively high variation coefficient (7.076% to 37.719%). With the exception of hemicellulose content, significant differences in other properties were observed among various regions. Correlation analysis demonstrated relationships among multiple traits, particularly indicating that an increase in tracheid wall thickness and the width-to-lumen ratio, along with a decrease in tracheid lumen diameter, could result in higher wood density. The ginkgo wood properties across multiple regions were assessed using principal component analysis and membership function method. The HC and LA regions were identified as sources of high-quality ginkgo wood, and several exceptional individual trees suitable for high-end furniture manufacturing were selected. Further investigation into the influence of environmental factors on ginkgo wood properties revealed that temperature, precipitation, and their fluctuations significantly affect wood density, tracheid morphology, and chemical composition. Regions with higher temperatures and precipitation, along with smaller fluctuations, exhibit greater wood density and larger tracheid, making them more suitable for furniture manufacturing.

Indexed as

ClimateGinkgo bilobaWoodTemperatureComprehensive evaluationEnvironmental factorsGinkgo bilobaWood anatomical properties

Identifiers

PMID41866491
PMCPMC13130716

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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.