Evidence map›Paper›PMID 41573218›Full record

ArticleFrontiers in plant science2025

Divergent genetic architecture of cold stress tolerance in

Georgia C Eizenga, Yami Santamaria, Aaron K Jackson, Huy Phan, Melissa H Jia, Quynh P-H Grunden, Jeremy D Edwards, Ed Himelblau, Michael R Schläppi

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. 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

9 authors.

Georgia C EizengaDale Bumpers National Rice Research Center, US Department of Agriculture, Agricultural Research Service (USDA-ARS), Stuttgart, AR, United States.
Yami SantamariaDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Aaron K JacksonDale Bumpers National Rice Research Center, US Department of Agriculture, Agricultural Research Service (USDA-ARS), Stuttgart, AR, United States.
Huy PhanDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Melissa H JiaDale Bumpers National Rice Research Center, US Department of Agriculture, Agricultural Research Service (USDA-ARS), Stuttgart, AR, United States.
Quynh P-H GrundenDale Bumpers National Rice Research Center, US Department of Agriculture, Agricultural Research Service (USDA-ARS), Stuttgart, AR, United States.
Jeremy D EdwardsDale Bumpers National Rice Research Center, US Department of Agriculture, Agricultural Research Service (USDA-ARS), Stuttgart, AR, United States.
Ed HimelblauDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Michael R SchläppiDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Exploring natural genetic variation to facilitate breeding of improved rice seedling cold tolerance will allow the crop to be planted earlier in the growing season, taking advantage of spring rainfall and decreasing exposure to high summer nighttime temperatures, which reduce grain quality. Methods: To uncover genomic regions in rice that manage cold stress tolerance response mechanisms in the cold-sensitive Results and discussion: Thirteen subpopulation-specfic QTL were revealed: three EL and four LTSS QTL for AUS, and two EL and four LTSS QTL for TRJ, with no overlap between AUS and TRJ QTL. Only two AUS QTL overlapped with regions previously identified by our AUS ×

Indexed as

aus ricechilling toleranceheading dateOryza sativaplant heightQTL mappingricetropical japonica rice

Identifiers

PMID41573218
PMCPMC12819804

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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.