Evidence map›Paper›PMID 31544777›Full record

ArticleJournal of genetics2019

Candidate screening of blast resistance donors for rice breeding.

Manoj Kumar Yadav, S Aravindan, U Ngangkham, S R Prabhukarthikeyan, U Keerthana, S Raghu, D Pramesh, A Banerjee, S Roy, P Sanghamitra and 5 more

Abstract read
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Article in Journal of genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 4 institutions in 1 country.

Manoj Kumar YadavICAR-National Rice Research Institute, Cuttack 753 006, India. m.yadav14@gmail.com.
S Aravindan
U Ngangkham
S R Prabhukarthikeyan
U Keerthana
S Raghu
D Pramesh
A Banerjee
S Roy
P Sanghamitra
T Adak
Priyanka Priyadarshinee
Mayabini Jena
M K Kar
P C Rath
Central Rice Research Institute · INIndian Institute of Rice Research · INICAR Research Complex for NEH Region · INUniversity of Agricultural Sciences Raichur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice blast is one of the most serious diseases in the world. The use of resistant cultivars is the most preferred means to control this disease. Resistance often breaks down due to emergence of new races; hence identification of novel resistance donors is indispensable. In this study, a panel of 80 released varieties from National Rice Research Institute, Cuttack was genotyped with 36 molecular markers that were linked to 36 different blast resistance genes, to investigate the varietal genetic diversity and molecular marker-trait association with blast resistance. The polymorphism information content of 36 loci varied from 0.11 to 0.37 with an average of 0.34. The cluster analysis and population structure categorized the 80 National Rice Research Institute released varieties (NRVs) into three major genetic groups. The principal co-ordinate analysis displays the distribution of resistant and moderately resistant NRVs into different groups. Analysis of molecular variance result demonstrated maximum (97%) diversity within populations and minimum (3%) diversity between populations. Among tested markers, two markers (RM7364 and pi21_79-3) corresponding to the blast resistance genes (

Indexed as

Biological Variation, PopulationCluster AnalysisDisease ResistanceGenetic Association StudiesGenetic MarkersMagnaportheOryzaPhenotypePlant BreedingPolymorphism, GeneticGenetic Markers

Identifiers

PMID31544777
OpenAlexW2964440902

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.