Evidence map›Paper›PMID 39640406›Full record

ArticleData in brief2024

Dataset on developing climate-smart transplanted

Sanjoy K Debsharma, Fahamida Akter, Md Abu Syed, Mohammad Rafiqul Islam, Md Rokebul Hasan, Md Adil, Md Ruhul Amin Sarker, Biswajit Karmakar, Mahmuda Khatun

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. 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. 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.

Sanjoy K DebsharmaPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Fahamida AkterPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Md Abu SyedPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Mohammad Rafiqul IslamPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Md Rokebul HasanPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Md AdilPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Md Ruhul Amin SarkerPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Biswajit KarmakarAdaptive Research Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Mahmuda KhatunPlant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset provides an in-depth analysis of rice yield and grain quality attributes in four successive four years across 27 diverse environments in Bangladesh. The analysis emphasizes assessing the performance of studied genotypes (GEN), environments (ENV), and their interrelations (GEI). The research aim is to detect a stable and adaptive rice cultivar that not only displays high yield, and better grain quality but also has molecular data to know favorable alleles and biotic and abiotic stress-related traits. The combined ANOVA revealed significant GEN, ENV, and GEI effects on grain yield (

Indexed as

AMMIGGEGrain qualityMulti-environmentSNPStabilityTrait characterizationYield estimation

Identifiers

PMID39640406
PMCPMC11617962

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.