Evidence map›Paper›PMID 42326649›Full record

ArticleACS omega2026

Developing Quick Screening Method to Identify Rice Cultivars with Unique Aromatic Features.

Heena Rani, Rahul Sen, Christian De Guzman, Scott Lafontaine

Abstract read
In one paragraph

Article in ACS omega, 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

4 authors.

Heena RaniDepartment of Food Science, University of Arkansas, 2650 N Young Ave, Fayetteville, Arkansas 72704, United States.ORCID https://orcid.org/0000-0003-1440-5212
Rahul SenDepartment of Food Science, University of Arkansas, 2650 N Young Ave, Fayetteville, Arkansas 72704, United States.ORCID https://orcid.org/0000-0002-0291-8523
Christian De GuzmanDivision of Agriculture, Rice Research and Extension Center, University of Arkansas, Stuttgart, Arkansas 72160, United States.
Scott LafontaineDepartment of Food Science, University of Arkansas, 2650 N Young Ave, Fayetteville, Arkansas 72704, United States.ORCID https://orcid.org/0000-0003-4098-7711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aroma is a primary determinant of rice quality and market value, yet its evaluation in breeding programs remains constrained by labor-intensive milling, cooked-grain sensory methods, binary screening assays, and the limited seed availability of early generation selection. Moreover, aromatic rice breeding has historically focused narrowly on 2-acetyl-1-pyrroline-mediated popcorn aroma, potentially overlooking valuable alternative aromatic profiles. In this study, we developed a rapid sensory phenotyping approach for paddy rice that enables quantitative assessment of the aroma intensity and qualitative aroma characterization without milling or cooking. A diverse panel of 126 rice genotypes was evaluated using 1 g of ground paddy rice heated under controlled conditions coupled with sensory analysis and targeted HS-SPME-GC-MS/MS quantification of 164 volatile compounds. The method discriminated the aroma intensity and enabled characterization of aroma quality. Hierarchical clustering integrating sensory and chemical data resolved five distinct aroma classes, including popcorn-dominant, fruity-floral, nutty-grainy, woody-floral, and oxidation-driven phenotypes. While 2AP showed the strongest association with popcorn aroma and overall intensity (

Identifiers

PMID42326649
PMCPMC13280887

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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.