Evidence map›Paper›PMID 41127270›Full record

ArticleHorticulture research2025

Harnessing apomixis: natural mechanisms and synthetic innovations for advancing crop and forage breeding.

Shuyi Hu, Xiaoyun Han, Lei Tian, Kejian Wang, Shuangyan Chen

Abstract read
In one paragraph

Article in Horticulture research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Shuyi HuState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Xiaoyun HanState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Lei TianState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Kejian WangState Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China.ORCID https://orcid.org/0000-0002-8385-6714
Shuangyan ChenState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID https://orcid.org/0000-0002-6556-892X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Apomixis, a reproductive mechanism that enables clonal seed production, generates progeny genetically identical to the maternal parent. In plant breeding, sexual reproduction can enhance traits through genetic recombination and hybrid vigor, yet trait segregation significantly raises breeding costs and complexity. Although apomixis occurs naturally across various plant species, it remains notably absent in major crops like rice and maize. Significant progress has been made in identifying the genes that govern this process. Recent breakthroughs in synthetic apomixis provide promising pathways for crop improvement. This review offers a comprehensive analysis of natural apomixis and its genetic regulators, with a focus on recent advances in synthetic apomictic systems. We also explore the current state and potential of apomixis in forage breeding, especially in addressing challenges related to self-incompatibility, polyploidy, and genomic complexity in forage species. Finally, we discuss the challenges in applying apomixis to forage breeding and future directions for this research.

Identifiers

PMID41127270
PMCPMC12539870

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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.