Evidence map›Paper›PMID 41465153›Full record

ArticleGenes2025

G2H: A Precise Block-Scanning Strategy for Genetic Background Assessment in Maize Backcross Breeding.

Xiangyu Qing, Weiwei Wang, Liwen Xu, Yunlong Zhang, Yikun Zhao, Jianrong Ge, Xuelei Shen, Rui Wang, Yingjie Xue, Fengge Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2025. 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

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

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

10 authors.

Xiangyu QingMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Weiwei WangMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Liwen XuMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Yunlong ZhangMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Yikun ZhaoMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Jianrong GeMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Xuelei ShenMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Rui WangMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Yingjie XueMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.
Fengge WangMaize Research Institute, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-Construction by Ministry and Province), Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China.

Funding

Biological Breeding-National Science and Technology Major Project 2022ZD04020
6 · The paper itself

Abstract

(1) Background: Backcross (BC) breeding is a key technology of crop improvement, yet its efficiency largely depends on the precise assessment of the genetic background recovery. Conventional molecular marker-assisted techniques suffer from inadequate genomic coverage or an inability to resolve true chromosomal structure. (2) Methods: To address major issues in maize BC breeding, we devised a G2H block-scanning strategy. This approach converts high-density point markers into haplotype blocks, enabling precise evaluation of the genetic background in backcross progenies. A key innovation is the CFDI, which quantifies the distribution of unrecovered fragments, allowing for visual tracking of chromosomal recombination and identification of ideal individuals with both a high genetic background recovery rate and few small fragments retention. (3) Results: We validated the accuracy and effectiveness of the G2H strategy across multiple backcross generations. Through enabling a precise "point-to-line-to-area" panoramic assessment of genetic background, G2H provides a powerful tool for developing ideal breeding materials with pure genetic background and minimized linkage drag. (4) Conclusions: Notably, this strategy significantly shortens the breeding cycle by 2-3 generations compared to conventional background assessment methods, thereby accelerating precision molecular design breeding in crops.

Indexed as

Genetic BackgroundPlant BreedingZea maysChromosomes, PlantGenetic MarkersGenome, PlantHaplotypesGenetic Markersbackcross breedinggenetic background recoveryhaplotypemaizepanoramic assessment

Identifiers

PMID41465153
PMCPMC12733054

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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.