Evidence map›Paper›PMID 32868819›Full record

ArticleScientific reports2020

Application of Pedimap: a pedigree visualization tool to facilitate the decisioning of rice breeding in Sri Lanka.

Rasika Rathnayake, Shehan Sahibdeen, Kapila Udawela, Cholani Weebadde, Wijayasiri Weerakoon, Suneth Sooriyapathirana

Abstract read
In one paragraph

Article in Scientific reports, 2020. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Genetic and Cyto-Histological Analyses inInternational journal of molecular sciences · 2025
    Article
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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

6 authors.

Rasika RathnayakeDepartment of Molecular Biology and Biotechnology, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka.
Shehan SahibdeenDepartment of Molecular Biology and Biotechnology, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka.
Kapila UdawelaRice Research and Development Institute, Bathalagoda, Sri Lanka.
Cholani WeebaddeDepartment of Plant, Soil and Microbial Sciences, College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI, 48824, USA.
Wijayasiri WeerakoonDepartment of Agriculture, Peradeniya, Sri Lanka.
Suneth SooriyapathiranaDepartment of Molecular Biology and Biotechnology, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka. sunethuop@gmail.com.ORCID http://orcid.org/0000-0002-5592-1742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of rice cultivars with desirable traits is essential. The decision-making is a crucial step in rice breeding programs. Breeders can make efficient and pragmatic decisions if an organized pedigree visualization platform is available for the accessions and cultivars in rice breeding germplasm. In the present study, the available data of all the rice varieties released by Rice Research and Development Institute, Sri Lanka, and the related landraces and genotypes were arranged in Pedimap, a pedigree visualization tool. Pedimap can showcase pedigree relationships, phenotypic, and molecular data. The identity by descent probabilities were calculated using FlexQTL software and included in the Pedimap database. The parentage selection based on the variations of phenotypic traits, selection of marker alleles for molecular breeding, and detection of the founders of genetic effects can be swiftly conducted using Pedimap. However, the power of harnessing the value of Pedimap for making breeding decisions relies on the availability of data for the traits, markers, and genomic sequences. Thus, it is imperative to characterize the breeding germplasms using standard phenomic and genomic characterization procedures such as the assessment of before organized into Pedimap. Thereby, the worldwide breeding programs can benefit from each other to produce improved varieties to meet global challenges.

Indexed as

Databases, GeneticAmyloseDisease ResistanceEdible GrainGenotypeOryzaPedigreePlant BreedingQuantitative Trait, HeritableSoftwareSri LankaAmylose

Identifiers

PMID32868819
PMCPMC7459290

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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.