Evidence map›Paper›PMID 28018845›Full record

ReviewApplied & translational genomics2016

Maximizing the potential of multi-parental crop populations.

Olufunmilayo Ladejobi, James Elderfield, Keith A Gardner, R Chris Gaynor, John Hickey, Julian M Hibberd, Ian J Mackay, Alison R Bentley

Abstract readReview
In one paragraph

Review in Applied & translational genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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

8 authors.

Olufunmilayo LadejobiThe John Bingham Laboratory, NIAB, Huntingdon Road, Cambridge CB3 0LE, United Kingdom; Department of Plant Sciences, The University of Cambridge, Downing Street, Cambridge CB2 3EA, United Kingdom.
James ElderfieldDepartment of Plant Sciences, The University of Cambridge, Downing Street, Cambridge CB2 3EA, United Kingdom.
Keith A GardnerThe John Bingham Laboratory, NIAB, Huntingdon Road, Cambridge CB3 0LE, United Kingdom.
R Chris GaynorThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Research Centre, Midlothian EH25 9RG, United Kingdom.
John HickeyThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Research Centre, Midlothian EH25 9RG, United Kingdom.
Julian M HibberdDepartment of Plant Sciences, The University of Cambridge, Downing Street, Cambridge CB2 3EA, United Kingdom.
Ian J MackayThe John Bingham Laboratory, NIAB, Huntingdon Road, Cambridge CB3 0LE, United Kingdom.
Alison R BentleyThe John Bingham Laboratory, NIAB, Huntingdon Road, Cambridge CB3 0LE, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/E007201/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211553Biotechnology and Biological Sciences Research Council BBS/E/D/20211554Medical Research Council MR/M000370/1
6 · The paper itself

Abstract

Most agriculturally significant crop traits are quantitatively inherited which limits the ease and efficiency of trait dissection. Multi-parent populations overcome the limitations of traditional trait mapping and offer new potential to accurately define the genetic basis of complex crop traits. The increasing popularity and use of nested association mapping (NAM) and multi-parent advanced generation intercross (MAGIC) populations raises questions about the optimal design and allocation of resources in their creation. In this paper we review strategies for the creation of multi-parent populations and describe two complementary

Indexed as

MAGICMappingNAMTrait dissectionWheat

Identifiers

PMID28018845
PMCPMC5167364

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.