Evidence map›Paper›PMID 33854283›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2021

Genetic relationship, population structure analysis and pheno-molecular characterization of rice (

S K Yasin Baksh, Ravindra Donde, Jitendra Kumar, Mitadru Mukherjee, Jitendriya Meher, Lambodar Behera, Sushanta Kumar Dash

Abstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2021. 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

7 authors.

S K Yasin BakshCrop Improvement Division, ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha 753006 India.
Ravindra DondeCrop Improvement Division, ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha 753006 India.
Jitendra KumarCrop Improvement Division, ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha 753006 India.
Mitadru MukherjeeCrop Improvement Division, ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha 753006 India.
Jitendriya MeherCrop Improvement Division, ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha 753006 India.
Lambodar BeheraCrop Improvement Division, ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha 753006 India.
Sushanta Kumar DashCrop Improvement Division, ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha 753006 India.ORCID 0000-0003-1160-5921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is an important source of calorie for the growing world population. Its productivity, however is affected by climatic adversities, pest attacks, diseases of bacterial, viral and fungal origin and many other threats. Developing cultivars that are high yielding and stress resilient seems a better solution to tackle global food security issues. This study investigates the potential resistance of 24 rice cultivars against SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-00951-1.

Indexed as

AMOVABacterial leaf blightGenetic diversityPCA analysisPopulation structureRiceSTS markersSubmergence

Identifiers

PMID33854283
PMCPMC7981353

What Socratic 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 Socratic graph.