Evidence map›Paper›PMID 42884863›Full record

ArticlePlants (Basel, Switzerland)2026

GWAS of Leaf Morphological and Chlorophyll-Related Traits Provides Genetic Resources for Improving Photosynthetic Traits in Sugarcane.

Yongsheng Chen, Huiyi He, Xinglong Chen, Jiayun Wu, Nannan Zhang, Jianwu Wang

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2026. 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

6 authors.

Yongsheng ChenCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China.
Huiyi HeGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou 510316, China.
Xinglong ChenGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou 510316, China.
Jiayun WuGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou 510316, China.
Nannan ZhangGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou 510316, China.
Jianwu WangCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-4421-8058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photosynthesis is the ultimate source of energy for crop productivity, and leaf morphology as well as chlorophyll content are traditional, indirectly related traits of photosynthesis. However, the genetic basis of these traits remains unexplored in sugarcane. In this study, we conducted genome-wide association studies (GWAS) to identify loci controlling nine photosynthesis-related traits, including four leaf morphological traits (leaf length, leaf width, leaf ratio, and leaf area) and five chlorophyll-related traits (chlorophyll a, chlorophyll b, chlorophyll a/b ratio, total chlorophyll, and SPAD value). The analysis was performed using whole-genome resequencing data from 219 elite, globally diverse sugarcane materials evaluated at two locations across two years (four environments). Based on 5,964,084 high-quality single nucleotide polymorphisms (SNPs), we identified 308 GWAS-significant SNPs (

Indexed as

candidate geneschlorophyll-related traitsGWASleaf morphology traitsSaccharum spp.SNPs

Identifiers

PMID42884863
PMCPMC13667283

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.