Evidence map›Paper›PMID 35283876›Full record

ArticleFrontiers in plant science2022

Phenotypic Characterization, Genetic Diversity Assessment in 6,778 Accessions of Barley (

Vikender Kaur, J Aravind, Manju, Sherry R Jacob, Jyoti Kumari, Bhopal S Panwar, Narendra Pal, Jai C Rana, Anjula Pandey, Ashok Kumar

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
9.9field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 49 citations in OpenAlex.

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  10. Diversity ofFrontiers in nutrition · 2023
    Review
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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.

Vikender KaurNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
J AravindNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
ManjuNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
Sherry R JacobNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
Jyoti KumariNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
Bhopal S PanwarNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
Narendra PalNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
Jai C RanaNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
Anjula PandeyNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
Ashok KumarNational Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
National Bureau of Plant Genetic Resources · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The entire collection of cultivated barley germplasm accessions conserved in the Indian National Genebank (INGB) was characterized for nine qualitative and 8 quantitative traits to assess the nature and magnitude of prevailing genetic variability and to develop a core set. A wide range of variability was observed for days to spike emergence (51-139 days), days to physiological maturity (100-152 days), plant height (45.96-171.32 cm), spike length (3.44-13.73 cm), grain number/spike (10.48-82.35), and 100-grain weight (1.20-6.86 g). Initially, seven independent core sets were derived using 3 core construction tools- MSTRAT, PowerCore, and Core Hunter 3 by employing the maximization method, heuristic sampling, and optimisation of average genetic distances, respectively. The core set-3 generated by Core Hunter 3 by simultaneous optimisation of diversity and representativeness, captured maximum genetic diversity of the whole collection as evident from the desirable genetic distance, variance difference percentage (VD; 87.5%), coincidence rate of range (CR; 94.27%) and variable rate of coefficient of variance (VR; 113.8%), which were more than threshold value of VD (80%), CR (80%), and VR (100%) required for good core collection. The coefficient of variation and Shannon-Weaver diversity indices were increased in the core set as compared with the whole collection. The low value of Kullback-Leibler distance (0.024-0.071) for all traits and quantile-quantile plots revealed a negligible difference between trait distribution patterns among the core set and entire assembly. Correlogram revealed that trait associations and their magnitude were conserved for most of the traits after sampling of the core set. The extraction of the INGB barley core set and identification of promising accessions for agronomically important traits in different genetic backgrounds will pave the way for expedited access to genetically diverse and agronomically important germplasm for barley breeding.

Indexed as

barley germplasmcharacterizationcore setgenebankgenetic diversityHordeum vulgareIndia

Identifiers

PMID35283876
PMCPMC8913045
OpenAlexW4213419931

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.