Evidence map›Paper›PMID 41095252›Full record

ArticlePlants (Basel, Switzerland)2025

Genetic Diversity Evaluation of 70 Chewing Cane Germplasm Resources Based on Phenotypic Traits.

Jing Xie, Zhuang Liu, Hailong Chang, Chuiming Zhang, Qinggan Liang, Zhuqing Wang, Yinjie Cheng, Qinnan Wang, Jiantao Wu

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

9 authors.

Jing XieGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.
Zhuang LiuGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.
Hailong ChangGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.
Chuiming ZhangGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.
Qinggan LiangGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.
Zhuqing WangGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.ORCID 0000-0003-2897-3421
Yinjie ChengGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.
Qinnan WangGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.ORCID 0000-0001-5050-3843
Jiantao WuGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.ORCID 0000-0003-0742-1636

Funding

CARS CRAS-17the provincial scientific research institutions stability support sub-project in 2020 "Breeding and construction of healthy seedling propagation system of new sugarcane varieties (lines) No
6 · The paper itself

Abstract

Chewing cane is primarily consumed as fresh fruit and contains a variety of essential amino acids and iron. The identification and evaluation of chewing cane germplasm resources are prerequisites for the rational utilization of these resources, and phenotypic traits provide a direct and convenient means to determine breeding objectives. To facilitate the utilization and development of chewing cane germplasm, thirty-six phenotypic traits in 70 chewing cane germplasm resources were analyzed. The results revealed rich genetic diversity among the chewing cane resources. Seven phenotypic traits exhibited relatively high diversity and considerable potential for genetic improvement. The three groups exhibited relatively small genetic distances and relatively high genetic similarity coefficients, among which the Local varieties (Lv) group displayed the highest genetic diversity indices and retained more private alleles. Based on genetic similarity, the resources were classified into 3 groups, 5 subgroups, and 5 subclasses through cluster analysis, with more than half (54%) of the chewing cane materials forming a separate cluster. A total of 26 private alleles associated with 13 different phenotypic traits in chewing cane were identified across the three groups. The results of genetic diversity analysis based on phenotypic data provide important references for the utilization of chewing cane germplasm resources, selection of parents, and variety breeding.

Indexed as

cluster analysisgenetic correlationgenetic resourcesgenetic similarityprivate allele

Identifiers

PMID41095252
PMCPMC12526319

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