Evidence map›Paper›PMID 40431077›Full record

ArticlePlants (Basel, Switzerland)2025

Phenotypic Genetic Analysis of Fruit Branch Angle in Upland Cotton.

Yanping Tan, Yilei Long, Yinan Yang, Yin Wang, Shen Jin, Xiantao Ai

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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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. 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

6 authors.

Yanping TanCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.
Yilei LongCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.ORCID 0000-0002-3589-6201
Yinan YangCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.
Yin WangCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.
Shen JinCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.
Xiantao AiCollege of Smart Agriculture (Research Institute), Xinjiang University, Urumqi 830017, China.

Funding

Tianshan Distinguished Young Talents Program - Young Scientific and Technological Innovation Talents 2023TSYCCX0018Xinjiang Uygur Autonomous Region Major Science and Technology Special Project. 2024A02002
6 · The paper itself

Abstract

This study aims to reveal the genetic variation of fruit branch angle (FBA) in upland cotton, thereby providing a scientific basis and practical guidance for cotton architecture breeding. We explored the genetic variation pattern of FBA in 300 upland cottons from different regions and different periods, respectively. Cluster analysis and principal component analysis were used to comprehensively evaluate the plant architecture traits and yield traits in 300 upland cottons. The results demonstrated that the range of variation of FBA in cotton was 43.59-69.32°, the coefficient of variation ranged from 6.06% to 7.42%, and the broad-sense heritability was 75.50%. The order of FBA in different regions was as follows: Foreign Germplasm (FG; 56.77°) > Yellow River Region (YRR; 56.24°) > Yangtze River Region (YZRR; 56.16°) > Liaoning Special Maturing Region (LSMR; 55.35°) > Northwest Inland Region (NIR; 55.25), which is rich in genetic diversity. FBA in cotton in different periods had obvious differences. FBA was the largest before 1960, and as the period progressed, FBA showed an overall fluctuating decrease, whose coefficient of variation and genetic diversity index tended to increase. In this study, it was found that when the range of FBA was 50.46-55.31°, cotton had the best overall performance, with compact architecture, fewer empty fruit branches, more bells, and higher yield, which can be further developed and utilized as an excellent cotton germplasm resource.

Indexed as

different periodsdifferent regionsfruit branch angleupland cotton

Identifiers

PMID40431077
PMCPMC12115341

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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.