Evidence map›Paper›PMID 41157738›Full record

ArticlePlants (Basel, Switzerland)2025

The Ionome-Hormone-Flavonoid Network Shapes Genotype-Dependent Yield Adaptation in Sugarcane.

Qinyu Lu, Shimiao Chen, Bin Shan, Ailin Wei, Yuhuan Luo, Lanfang Wu, Qiang Jiang, Zhendong Chen

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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. Enhancing Cryopreservation Efficiency inPlants (Basel, Switzerland) · 2025
    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.

Qinyu LuGuangxi Baise Modern Agriculture Technology Research and Extension Center, Management Committee of Baise National Agricultural Science and Technology Zone of Guangxi, Baise 533612, China.ORCID 0000-0001-6075-9471
Shimiao ChenGuangxi Subtropical Crops Research Institute, Nanning 530001, China.ORCID 0000-0002-5904-4695
Bin ShanGuangxi Subtropical Crops Research Institute, Nanning 530001, China.ORCID 0009-0004-9580-039X
Ailin WeiBaise Institute of Agricultural Sciences, Baise 533612, China.
Yuhuan LuoSeed Station of the Bureau of Agriculture and Rural Affairs, Tianyang District, Baise 533612, China.
Lanfang WuBaise Institute of Agricultural Sciences, Baise 533612, China.
Qiang JiangGuangxi Baise Modern Agriculture Technology Research and Extension Center, Management Committee of Baise National Agricultural Science and Technology Zone of Guangxi, Baise 533612, China.
Zhendong ChenGuangxi Academy of Agricultural Science, Nanning 530001, China.

Funding

Guangxi Major Science and Technology Program Guike AA24263045National Natural Science Foundation of China 32201392Natural Science Foundation of Guangxi Province 2024GXNSFBA010329
6 · The paper itself

Abstract

Sugarcane productivity varies widely among genotypes, but the biochemical traits underlying these differences remain poorly characterized. In this study, six contrasting sugarcane cultivars were profiled to investigate how ionomic, hormonal, flavonoid, and photosynthetic pigment signatures are associated with yield and sucrose accumulation. Morphological traits and field performance revealed marked genotypic variation, with ZZ14 and GL1215 achieving the highest yields and sugar content, while GT59 and GT60 performed less favorably. Multivariate analyses of ionomic data showed that potassium, magnesium, and calcium were consistently enriched in high-yield cultivars, whereas sodium, boron, and manganese were negatively associated with growth traits. Hormone profiling revealed that high-yielding genotypes utilize diverse strategies: while the high-yielding GL1215 achieved superior sugar content with the lowest levels of growth-promoting hormones, the LT1790 genotype, despite having the highest levels of these hormones, showed suboptimal yield due to a costly trade-off with its hyperactive defense system. Flavonoid analysis indicated that LT1790 contained the highest levels of Quercetin, rutin, and caffeic acid, suggesting enhanced antioxidant capacity, whereas GT59 preferentially accumulated chlorogenic acid. Canonical correlation analysis confirmed that nutrient balance and metabolite composition strongly correlated with plant height, stem diameter, and sugar concentration. Together, these results suggest that high-yield sugarcane genotypes achieve a superior metabolic balance, combining efficient nutrient uptake and robust antioxidant capacity with a favorable hormone profile that promotes strong growth without triggering a costly constitutive defense system.

Indexed as

constitutive defense postureflavonoidsmultivariate analysisnutrient homeostasisphytohormone

Identifiers

PMID41157738
PMCPMC12566931

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.