Evidence map›Paper›PMID 39650756›Full record

ArticlePhotosynthetica2022

Response of upland cotton (

A L Thompson, M M Conley, M T Herritt, K R Thorp

Abstract read
In one paragraph

Article in Photosynthetica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Phenotyping cotton leaf chlorophyll viaFrontiers in plant science · 2024
    Article
  4. Tomato Biodiversity and Drought Tolerance: A Multilevel Review.International journal of molecular sciences · 2023
    Review
  5. 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

4 authors.

A L ThompsonUS Arid-Land Agricultural Research Center, 21881 North Cardon Lane, Maricopa, 85138 Arizona, USA.ORCID https://orcid.org/0000-0003-4850-5158
M M ConleyUS Arid-Land Agricultural Research Center, 21881 North Cardon Lane, Maricopa, 85138 Arizona, USA.ORCID https://orcid.org/0000-0001-5221-7576
M T HerrittUS Arid-Land Agricultural Research Center, 21881 North Cardon Lane, Maricopa, 85138 Arizona, USA.ORCID https://orcid.org/0000-0002-8307-8123
K R ThorpUS Arid-Land Agricultural Research Center, 21881 North Cardon Lane, Maricopa, 85138 Arizona, USA.ORCID https://orcid.org/0000-0001-9168-875X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sustainable production of upland cotton, an economically important fiber crop, is threatened by changing environmental factors including high temperatures and low-soil water content. Both high heat and low-soil water can reduce net photosynthesis resulting in low fiber yields or poor fiber quality. Leaf chlorophyll content has a direct relationship with photosynthetic rate. Understanding how high heat and low-soil water affect chlorophyll content can identify opportunities for breeding improvement that will lead to sustainable fiber yields. A two-year field trial located in Maricopa Arizona measured leaf chlorophyll content, available soil water, ambient air temperatures, and cotton growth measurements collected by a high-clearance tractor equipped with proximal sensors. The results showed that low-soil water significantly increased leaf chlorophyll content, while high temperatures significantly reduced content. Structured equation modeling revealed that cotton may divert available resources to leaf area and chlorophyll content for the production of photosynthates during periods of high temperatures.

Indexed as

abiotic stressleaf chlorophyll contentproximal sensingupland cotton

Identifiers

PMID39650756
PMCPMC11558507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.