Evidence map›Paper›PMID 42199231›Full record

ArticleFrontiers in plant science2026

Improved construction and applicability analysis of stomatal conductance model for cotton under drip irrigation in Northern Xinjiang.

Wenting Qi, Ning Meng, Qianyu Cheng, Xiaopeng Ma, Weijie Wang, Jiandong Wang, Chuanjuan Wang, Hang Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 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

8 authors.

Wenting QiInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.
Ning MengSchool of Water Resources and Hydropower, Hebei University of Engineering, Handan, Hebei, China.
Qianyu ChengInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiaopeng MaInstitute of Soil Fertilizer and Agricultural Water Saving, Xinjiang Academy of Agricultural Sciences, Urumqi, China.
Weijie WangLinshu County Bureau of Agriculture and Rural Affairs, Linshu, Shandong, China.
Jiandong WangInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.
Chuanjuan WangInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.
Hang WangInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Traditional plant stomatal conductance (g Method: This 2-year field study selected three g Results: Results revealed that the USO model exhibited the highest simulation accuracy, followed by the BBL and BWB models. Among the three models, the USO model incorporating ΔT, f(θ), and f(T) was the most accurate improved model. Compared to the BBL and BWB models, its 2-year Discussion: Overall, accurate estimation of g

Indexed as

leaf-air temperature differencemoisture response functionstomatal conductance modelstomatal conductance modelstemperature response function

Identifiers

PMID42199231
PMCPMC13199926

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.