Evidence map›Paper›PMID 39744217›Full record

ArticleMolecular breeding : new strategies in plant improvement2025

A cooking and eating quality evaluating system for whole grain black rice.

Hangxue Tian, Yanhua Li, Yunrui Lu, Qinglu Zhang, Zhengji Wang, Shanshan Li, Yuqiong Zhou, Qifa Zhang, Jinghua Xiao

Abstract read
In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 2025. 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

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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

9 authors.

Hangxue TianNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.
Yanhua LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.
Yunrui LuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.
Qinglu ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.
Zhengji WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.
Shanshan LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.
Yuqiong ZhouNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.
Qifa ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.
Jinghua XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University and Hubei Hongshan Laboratory, Wuhan, 430070 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Black rice has a long history of cultivation in Asia especially China. As a whole grain, black rice is rich in diverse nutrients including proteins, vitamins, amino acids, minerals, unsaturated fatty acids, dietary fibers, alkaloids, carotenes, phenolic compounds, and anthocyanins, in addition to starch. Many studies have demonstrated a range of health-promoting effects by black rice, which has greatly attracted the attention of consumers. However, the production and consumption of black rice has been low mostly because of its poor cooking and eating quality. To address this problem, the first is a need for technology to evaluate the cooking and eating quality of black rice. In this study, we investigated the feasibility of using Rice Taste Evaluation System (RTES) as a proxy approach to eating and cooking quality evaluation of whole grain black rice (WGBR). Totally, 775 black rice samples obtained from 363 accessions harvested from field planting were evaluated both with sensory evaluation by panelists and with RTES consisting of a cooked rice taste analyzer and a hardness and stickiness meter, which produced 8 characteristic parameters. We obtained highly significant correlation ( Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-024-01535-z.

Indexed as

Cooking and eating qualityRegression equationRice taste evaluation systemSensory testWhole grain black rice

Identifiers

PMID39744217
PMCPMC11685361

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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.