Evidence map›Paper›PMID 41829855›Full record

ArticlePlants (Basel, Switzerland)2026

Altitude, Phenology, and Cotton Yield in Arid Oases: Quantifying Their Interactive Relationships.

Jian Huang, Pengfei Wu, Juan Huang, Wenyuan Xing, Hongfei Hao, Maochun Li, Xiaojun 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. 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. 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

7 authors.

Jian HuangInstitute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China.
Pengfei WuUrumqi Meteorological Satellite Ground Station, Urumqi 830011, China.
Juan HuangXinjiang Climate Center, Urumqi 830002, China.
Wenyuan XingUrumqi Meteorological Satellite Ground Station, Urumqi 830011, China.
Hongfei HaoBachu Meteorological Administration, Bachu 843800, China.
Maochun LiAlar Meteorological Bureau, Alar 843300, China.
Xiaojun WangInstitute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China.

Funding

Basic Scientific Research Fund of Central Public Welfare Research Institutes IDM2022004S&T Development Fund of CAMS 2021KJ034Tianshan mountain meritocracy project 2023SNGGNT029Xinjiang Talent Development Fund 20240325
6 · The paper itself

Abstract

Climate change induces cotton phenological changes, but the impact of these changes on yield and the regulatory role of altitude in the phenology-yield relationship remains unclear. Major Chinese cotton-growing regions (e.g., Xinjiang) are in arid and semi-arid areas with fragile ecosystems, making it crucial to clarify the phenology-yield correlation for ensuring regional cotton production security. Using long-term data (1981-2023) from 35 cotton monitoring stations in Xinjiang's arid oases, we analyzed key phenological variations, quantified phenology's impact on yield, and examined altitude's effects on phenology. The results showed that the dates of four key cotton phenology-sowing (Sow), emergence (Eme), squaring (Squ), and flowering (Flo)-exhibited an advancing trend at a rate of 0.037-0.050 days year

Indexed as

altitudearid oases areacottonlint yieldphenological change

Identifiers

PMID41829855
PMCPMC12986762

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.