Evidence map›Paper›PMID 40212868›Full record

ReviewFrontiers in plant science2025

Genetic and molecular insights into tiller development and approaches for crop yield improvement.

Zaid Chachar, Xiaoming Xue, Junteng Fang, Ming Chen, Weiwei Chen, Xuhui Li, Nazir Ahmed, Sadaruddin Chachar, Aamir Ali, Zhong Liang Chen and 3 more

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
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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

13 authors.

Zaid Chachar *College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Xiaoming Xue *College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Junteng FangCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Ming ChenCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Weiwei ChenInstitute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, China.
Xuhui LiInstitute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, China.
Nazir AhmedCollege of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Sadaruddin ChacharCollege of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Aamir AliCollege of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China.
Zhong Liang ChenKey Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi and Key Laboratory of Sugarcane Genetic Improvement/Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China.
Lina FanCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Ruiqiang LaiCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Yongwen QiCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tiller development is a critical factor in boosting agricultural productivity and securing global food security. This review offers a comprehensive analysis of recent advancements in enhancing crop yield through extensive research on tiller development, utilizing a multi-faceted approach that includes quantitative trait loci (QTL) mapping, association studies, and transcriptome analysis across various crops. Extensive investigations have revealed complex genetic, molecular, and environmental interactions that influence this pivotal yield determinant. QTL mapping has pinpointed specific genomic regions associated with tiller development, while genome-wide association studies (GWAS) have provided deeper insights into natural genetic variations within populations. Additionally, transcriptome analyses have offered a dynamic view of gene expression, shedding light on molecular regulatory mechanisms that govern tillering. The integration of these multi-omics approaches has enabled a holistic understanding of the process, identifying crucial genetic loci and expression patterns that are key to optimizing tillering. Key genes such as

Indexed as

genesgenome-wide association studies (GWAS)quantitative trait loci (QTL)tiller developmenttranscriptome analysis

Identifiers

PMID40212868
PMCPMC11983604

What OpenQuestion holds

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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.