Evidence map›Paper›PMID 39169996›Full record

ArticleData in brief2024

Dataset on developing low glycemic index rice variety suitable for irrigated ecosystem in Bangladesh.

Md Abdul Kader, Ratna Rani Majumder, Tapas Kumer Hore, Urmi Rani Shaha, A K M Shalahuddin, Sanjida Akter, Zakaria Alam, Mohammad Kamruzzaman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. 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

8 authors.

Md Abdul KaderPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 171, Bangladesh.
Ratna Rani MajumderPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 171, Bangladesh.
Tapas Kumer HorePlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 171, Bangladesh.
Urmi Rani ShahaPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 171, Bangladesh.
A K M ShalahuddinPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 171, Bangladesh.
Sanjida AkterEntomology Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Zakaria AlamTuber Crops Research Centre, Bangladesh Agricultural Research Institute, Gzaipur 1701, Bangladesh.
Mohammad KamruzzamanFMPHT Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset offers a comprehensive analysis of rice grain yield and quality traits over a period of three years, spanning 27 different environments in Bangladesh. The focus is on evaluating the performance of various genotypes (G), environments (E), and their interactions (GEI). The study's goal is to identify a stable and adaptive rice genotype that not only exhibits high-quality traits but also has a low glycemic index. The combined ANOVA showed significant effects of G, E, and GEI on grain yield (

Indexed as

AMMIASTABASVGenotype-environment interactionGGEGlycemic indexGrain yield

Identifiers

PMID39169996
PMCPMC11338052

What OpenQuestion holds

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LicenceCC BY-NC
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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.