Evidence map›Paper›PMID 33990638›Full record

ArticleScientific reports2021

Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations.

Ram Chandra Jena, Pradeep Kumar Chand

Open access · goldAbstract read
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Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

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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

5 citing papers in PubMed, 23 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ram Chandra JenaPlant Biotechnology Laboratory, Post-Graduate Department of Botany, Utkal University, VaniVihar, Bhubaneswar, Odisha, 751004, India.
Pradeep Kumar ChandPlant Biotechnology Laboratory, Post-Graduate Department of Botany, Utkal University, VaniVihar, Bhubaneswar, Odisha, 751004, India. pkchand13@gmail.com.
Utkal University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arbitrary (65 RAPD, 25 ISSR, 23 DAMD), gene-targeted (22 SCoT, 33 CBDP) and co-dominant sequence specific (40 SSR) markers were used individually, or in combinations, to examine the genetic variability within and among 70 selected Indian mango genotypes based on geographic origin (East India, West India, North India, South India) and fruit status (Selection, Hybrid, Landrace). The highest genetic variability was demonstrated by the East Indian populations, followed by those from South India, West India, and North India, when measured in terms of Na, Ne, H, I, PB%, Ht and Hs. Interestingly, the local genotypes of Odisha, which forms a part of East Indian populations, showed the highest diversity compared to hybrid or selection groups, suggesting that the indigenous genotypes hold a greater potential for exploiting the unique and favourable alleles. The maximum genetic variability was detected in geographical/fruit status populations with SSRs (Na-1.76/1.88, Ne-1.48/1.51, H-0.28/0.30, I-0.41/0.45, PB%-76.1/86.9, Ht-0.31/0.32 and Hs-0.28/0.30), followed by CBDPs and SCoTs, reflecting their preeminence for examining the level of genetic polymorphism and diversity. Outcome of AMOVA based analyses as well as low-to-moderate coefficient of genetic differentiation (Gst) and high gene flow (Nm) indicated a greater amount of intra-population genetic variation compared to heterogeneity at inter-population level. Information generated through this investigation could facilitate conservation and further exploitation of mango germplasm including genetic improvement through breeding.

Indexed as

Gene FlowGenetic VariationGenetic MarkersMangiferaPlant BreedingRandom Amplified Polymorphic DNA TechniqueSeed BankGenetic Markers

Identifiers

PMID33990638
PMCPMC8121829
OpenAlexW3162673755

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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.