Evidence map›Paper›PMID 24833229›Full record

ArticleBiology2013

Next generation characterisation of cereal genomes for marker discovery.

Paul Visendi, Jacqueline Batley, David Edwards

Abstract read
In one paragraph

Article in Biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Paul VisendiAustralian Centre for Plant Functional Genomics, School of Agriculture and Food Science, the University of Queensland, Brisbane, QLD 4072, Australia. paul.muhindira@uqconnect.edu.au.
Jacqueline BatleyCentre for Integrative Legume Research, School of Agriculture and Food Science, the University of Queensland, Brisbane, QLD 4072, Australia. j.batley@uq.edu.au.
David EdwardsAustralian Centre for Plant Functional Genomics, School of Agriculture and Food Science, the University of Queensland, Brisbane, QLD 4072, Australia. Dave.Edwards@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cereal crops form the bulk of the world's food sources, and thus their importance cannot be understated. Crop breeding programs increasingly rely on high-resolution molecular genetic markers to accelerate the breeding process. The development of these markers is hampered by the complexity of some of the major cereal crop genomes, as well as the time and cost required. In this review, we address current and future methods available for the characterisation of cereal genomes, with an emphasis on faster and more cost effective approaches for genome sequencing and the development of markers for trait association and marker assisted selection (MAS) in crop breeding programs.

Identifiers

PMID24833229
PMCPMC4009793

What OpenQuestion holds

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LicenceCC BY
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.