Evidence map›Paper›PMID 28499040›Full record

ArticleJournal of experimental botany2017

Evolving gene banks: improving diverse populations of crop and exotic germplasm with optimal contribution selection.

W A Cowling, L Li, K H M Siddique, M Henryon, P Berg, R G Banks, B P Kinghorn

Open access · greenAbstract read
In one paragraph

Article in Journal of experimental botany, 2017. 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
4.2field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. The effect of selection on allele frequencies and diversity in wheat (Triticum aestivum).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
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  8. Review
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  12. Genetic gains in IRRI's rice salinity breeding and elite panel development as a future breeding resource.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  13. Article
  14. Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

7 authors at 3 institutions in 3 countries.

W A CowlingThe UWA Institute of Agriculture M082, The University of Western Australia, 35 Stirling Highway, Perth WA 6009, Australia.
L LiAnimal Genetics and Breeding Unit, University of New England, Armidale NSW 2351, Australia.
K H M SiddiqueThe UWA Institute of Agriculture M082, The University of Western Australia, 35 Stirling Highway, Perth WA 6009, Australia.
M HenryonSEGES, Pig Research Centre, Axeltorv 3, 1609 Copenhagen V, Denmark.
P BergNordGen, Nordic Genetic Resource Center, Postboks 115, NO-1431 Ås, Norway.
R G BanksAnimal Genetics and Breeding Unit, University of New England, Armidale NSW 2351, Australia.
B P KinghornSchool of Environmental & Rural Science, University of New England, Armidale NSW 2351, Australia.
The University of Western Australia · AUUniversity of New England · AUGenetic Resources Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We simulated pre-breeding in evolving gene banks - populations of exotic and crop types undergoing optimal contribution selection for long-term genetic gain and management of population genetic diversity. The founder population was based on crosses between elite crop varieties and exotic lines of field pea (Pisum sativum) from the primary genepool, and was subjected to 30 cycles of recurrent selection for an economic index composed of four traits with low heritability: black spot resistance, flowering time and stem strength (measured on single plants), and grain yield (measured on whole plots). We compared a small population with low selection pressure, a large population with high selection pressure, and a large population with moderate selection pressure. Single seed descent was compared with S0-derived recurrent selection. Optimal contribution selection achieved higher index and lower population coancestry than truncation selection, which reached a plateau in index improvement after 40 years in the large population with high selection pressure. With optimal contribution selection, index doubled in 38 years in the small population with low selection pressure and 27-28 years in the large population with moderate selection pressure. Single seed descent increased the rate of improvement in index per cycle but also increased cycle time.

Indexed as

Crops, AgriculturalGenetic VariationPisum sativumPlant BreedingSeed BankSpecimen HandlingCrop breedingeffective population sizeevolving gene bankmean population coancestryoptimal contribution selectionpre-breedingself-pollinating crops.

Identifiers

PMID28499040
PMCPMC5853616
OpenAlexW2552112222

What OpenQuestion holds

Textmetadata
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.