Evidence map›Paper›PMID 38149206›Full record

ArticleHeliyon2023

Geographic differences and variation of functional components of brown rice in 690 mini-core collections from global germplasms.

Xiaomeng Yang, Md Siddikun Nabi Mandal, Henan Diao, Juan Du, Xiaoying Pu, Xia Li, Jiazhen Yang, Yawen Zeng, Zichao Li, Jianbin Li and 2 more

Abstract read
In one paragraph

Article in Heliyon, 2023. 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

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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Xiaomeng YangBiotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Agricultural Biotechnology Key Laboratory of Yunnan Province/Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Scientific Observation Station of Rice Germplasm Resources of Yunnan, Ministry of Agriculture, Kunming, Yunnan, 650205, China.
Md Siddikun Nabi MandalBiotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Agricultural Biotechnology Key Laboratory of Yunnan Province/Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Scientific Observation Station of Rice Germplasm Resources of Yunnan, Ministry of Agriculture, Kunming, Yunnan, 650205, China.
Henan DiaoCollege of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China.
Juan DuBiotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Agricultural Biotechnology Key Laboratory of Yunnan Province/Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Scientific Observation Station of Rice Germplasm Resources of Yunnan, Ministry of Agriculture, Kunming, Yunnan, 650205, China.
Xiaoying PuBiotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Agricultural Biotechnology Key Laboratory of Yunnan Province/Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Scientific Observation Station of Rice Germplasm Resources of Yunnan, Ministry of Agriculture, Kunming, Yunnan, 650205, China.
Xia LiBiotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Agricultural Biotechnology Key Laboratory of Yunnan Province/Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Scientific Observation Station of Rice Germplasm Resources of Yunnan, Ministry of Agriculture, Kunming, Yunnan, 650205, China.
Jiazhen YangBiotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Agricultural Biotechnology Key Laboratory of Yunnan Province/Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Scientific Observation Station of Rice Germplasm Resources of Yunnan, Ministry of Agriculture, Kunming, Yunnan, 650205, China.
Yawen ZengBiotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences/Agricultural Biotechnology Key Laboratory of Yunnan Province/Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Scientific Observation Station of Rice Germplasm Resources of Yunnan, Ministry of Agriculture, Kunming, Yunnan, 650205, China.
Zichao LiKey Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Jianbin LiCollege of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China.
Akbar HossainBangladesh Wheat and Maize Research Institute, Dinajpur, 5200, Bangladesh.
Muhammad Kazim AliKarachi Institute of Biotechnology and Genetic Engineering (KIBGE), University of Karachi, Karachi, 75270, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To understand the geographic differences and variations in the functional components of brown rice cores collected from global rice germplasms. Methods: Four functional components, γ-aminobutyric acid (GABA), resistant starch (RS), total flavonoids, and alkaloids, in brown rice from 690 mini-core collections from 31 countries from five continents and the International Rice Research Institute, were analyzed using a spectrophotometry colorimetric method, and the results were statistically validated. Conclusion: The highest average amounts of functional components were obtained in Asian germplasms, except for GABA, and total flavonoids were highest in brown rice from Europe and Oceania, followed by Asia. The highest coefficient of variation for GABA was observed in Asia; that for RS and total flavonoids was observed in Africa, followed by Asia; and that for alkaloids was observed in America, followed by Asia. Overall, Asian countries were the most prominent and representative zones with the highest genotypic potential for functional components of brown rice. Forty-one rice accessions with enriched functional components originated mostly from biodiversity-rich areas in China, followed by those in the Philippines. Late sowing favored the enrichment of these components in brown rice. The current study provides a reference for rice breeding with enriched functional constituents, and guidelines for screening functional rice that could be used for human chronic disease research.

Indexed as

Brown riceFunctional componentsGenotypic differencesMini-core collectionRegional characteristics

Identifiers

PMID38149206
PMCPMC10750027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.