Evidence map›Paper›PMID 41126069›Full record

ArticleBMC plant biology2025

Selecting a core germplasm population using molecular markers: a case study with Eucalyptus pellita grown in common garden trials.

Haiwen Zhao, Ping Wang, Qiaocai Gu, Changrong Li, David Bush, Qijie Weng, Changpin Zhou, Fagen Li

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Haiwen Zhao *Key Laboratory of National Forestry and Grassland Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China.
Ping Wang *Key Laboratory of National Forestry and Grassland Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China.
Qiaocai Gu *Key Laboratory of National Forestry and Grassland Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China.
Changrong LiGuangxi Key Laboratory of Superior Timber Trees Resource Cultivation & Key Laboratory of Central South Fast-growing Timber Cultivation of Forestry Ministry of China, Guangxi Forestry Research Institute, 23 Yongwu Road, Nanning, 530002, China.
David BushCSIRO Australian Tree Seed Centre, GPO Box 1700, Canberra, ACT, 2601, Australia.
Qijie WengKey Laboratory of National Forestry and Grassland Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China.
Changpin ZhouKey Laboratory of National Forestry and Grassland Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China.
Fagen LiKey Laboratory of National Forestry and Grassland Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China. lifagen@caf.ac.cn.

Funding

the Fundamental Research Funds of Chinese Academy of Forestry CAFYBB2021ZA001the National Key R&D Program of China during the 14th Five-year Plan Period 2022YFD2200203- -2
6 · The paper itself

Abstract

Germplasm resources are crucial for revitalizing of the forest industry and plant breeding. Eucalyptus pellita is one of the most widely planted tropical eucalyptus species used for pulp and timber production. Maintaining large field-based germplasm collections for breeding and conservation is expensive. A smaller "core" population, retaining most of genetic diversity, is an efficient strategy. A comparative analysis using the marker-based tools DARwin, CoreFinder, and Core Hunter identified hypothetical subpopulations from 10 to 15% of the source population size, while still capturing the majority of the broader population diversity. Examination of phenotypic data in the source and hypothetical core populations over 34 months allowed comparison of growth and survival, and the effects of mortality on marker-based diversity parameters. After 34 months, the survival in the source population was 88%, while that in the core subsets ranged from 82 to 90%. Populations with higher heterozygosity showed somewhat superior survival, and the core population constructed using CoreFinder displayed marginally higher observed heterozygosity (Ho) and superior growth traits. Population structure and discriminant principal component (DAPC) analyses revealed that the study population was divided into two main subpopulations: New Guinea (NG) and Australia(AUS). The proportion of samples from NG and AUS selected using the three methods differed significantly, with the ratios from CoreF and CoreH closely resembling the source population. Although survival declined over time, the genetic diversity remained largely constant. Since the growth of the NG material was somewhat better than that of the AUS provenances, we advocate modifying the core selections or conducting selections within regions of provenance to ensure that the best breeding materials are represented in the core subpopulations. We explore the practicality of employing marker-based methods to select a core population in genebanks and/or breeding populations that rely on genetic diversity for trait improvement, which are likely to experience ongoing mortality due to inbreeding depression and competition.

Indexed as

EucalyptusPlant BreedingGenetic MarkersGenetic VariationPhenotypeGenetic MarkersCore germplasmEucalyptus pellitaGenetic diversityPopulation structureSSR markers

Identifiers

PMID41126069
PMCPMC12548287

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.