Evidence map›Paper›PMID 41144003›Full record

ReviewPlanta2025

Application and development prospect of genomic selection breeding in coniferous trees.

Tianyang Zhang, Xiaomei Sun, Jin Li, Kai Cui

Abstract readReview
PubMed Publisher
In one paragraph

Review in Planta, 2025. 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. Synergistic Promotion of Somatic Embryogenesis inPlants (Basel, Switzerland) · 2026
    Article
  2. Review
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

4 authors.

Tianyang ZhangState Key Laboratory of Tree Genetics and Breeding, Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, 650233, People's Republic of China.
Xiaomei SunState Key Laboratory of Tree Genetics and Breeding, Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, 650233, People's Republic of China.
Jin LiState Key Laboratory of Tree Genetics and Breeding, Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, 650233, People's Republic of China.
Kai CuiState Key Laboratory of Tree Genetics and Breeding, Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, 650233, People's Republic of China. cuikai@caf.ac.cn.ORCID http://orcid.org/0000-0003-3432-5957

Funding

Essential Scientific Research of Chinese National Nonprofit Institute CAFYBB2021ZW003Essential Scientific Research of Chinese National Nonprofit Institute CAFYBB2023QB006Fundamental Research Funds for the Central Universities of Beijing University of Chemical Technology 202301AV070002Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization SPU2023-02Major Project of Agricultural Biological Breeding 2023ZD0405902Major Project of Agricultural Biological Breeding 2023ZD040680307National key research and development program 2022YFD2200204National Natural Science Foundation of China 32022058Training Objects of Technological Innovation Talents in Yunnan Province 2019HB074
6 · The paper itself

Abstract

MAIN

conclusionGenomic selection (GS) is the preferred, non-transgenic strategy in conifer breeding, significantly accelerating genetic gain and overcoming limitations through early selection and the adoption of advanced, adaptive models. Genomic selection (GS) is a breeding method that uses molecular markers and phenotypic characteristics in the population genome to construct an associated genetic model, and then estimates the breeding value and predicts the phenotype of breeding populations with known genotypes but unknown phenotypes to achieve accurate and efficient genetic breeding. As an important part of the global forests, coniferous trees have high ecological and utilization value. However, due to their slow growth, large genome size, complex phenotypes, and weak foundational research, traditional phenotypic selection breeding is long and difficult. GS can complete the early selection of coniferous trees only based on the genotype after establishing the model, which not only saves the breeding time but also improves the genetic gain. It has become an important research direction in conifer breeding. This review first introduces the principle and method of GS, provides an overview of statistical models used in GS, then summarizes the research status of conifer GS. Finally, the factors affecting the implementation of GS for coniferous tree species were pointed out, and puts forward the prospect of the future development of conifer GS. This review provides strategies and ideas for further research on conifer GS breeding technology.

Indexed as

Genome, PlantGenomicsPlant BreedingSelection, GeneticTracheophytaTreesGenotypeModels, GeneticPhenotypeConifersForest genetic improvementGenomic predictionMolecular breedingQuantitative genetics

Identifiers

PMID41144003

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.