Evidence map›Paper›PMID 35910441›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2022

Unravelling genetic architecture and development of core set from elite rice lines using yield-related candidate gene markers.

Rameswar Prasad Sah, Sasmita Behera, Sushant Kumar Dash, T P Muhammed Azharudheen, Jitendriya Meher, Awadhesh Kumar, Bishnu Charan Marndi, Meera Kumari Kar, H N Subudhi, C Anilkumar

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In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2022. 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
1.5field-weighted citation impact, top 17% of its field
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, 8 citations in OpenAlex.

  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

10 authors at 1 institution in 1 country.

Rameswar Prasad Sah *Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.ORCID 0000-0003-1724-3685
Sasmita Behera *Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.
Sushant Kumar DashCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.
T P Muhammed AzharudheenCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.ORCID 0000-0002-4763-4946
Jitendriya MeherCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.
Awadhesh KumarCrop Physiology and Biochemistry, ICAR-National Rice Research Institute, Cuttack, Odisha India.
Bishnu Charan MarndiCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.
Meera Kumari KarCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.
H N SubudhiCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.
C AnilkumarCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.
Central Rice Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing genetic diversity and development of a core set of elite breeding lines is a prerequisite for selective hybridization programes intended to improve the yield potential in rice. In the present study, the genetic diversity of newly developed elite lines derived from Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-022-01190-8.

Indexed as

DiversityGrain yieldPopulation structureRice

Identifiers

PMID35910441
PMCPMC9334483
OpenAlexW4284961980

What OpenQuestion holds

Textmetadata
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.