Evidence map›Paper›PMID 35783964›Full record

ArticleFrontiers in plant science2022

Benefit of Introgression Depends on Level of Genetic Trait Variation in Cereal Breeding Programmes.

Yongjun Li, Fan Shi, Zibei Lin, Hannah Robinson, David Moody, Allan Rattey, Jayfred Godoy, Daniel Mullan, Gabriel Keeble-Gagnere, Matthew J Hayden and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2022. 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
1.9field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. 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

12 authors at 3 institutions in 1 country.

Yongjun LiAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Fan ShiAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Zibei LinAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Hannah RobinsonInterGrain, Bibra Lake, WA, Australia.
David MoodyInterGrain, Bibra Lake, WA, Australia.
Allan RatteyInterGrain, Bibra Lake, WA, Australia.
Jayfred GodoyInterGrain, Bibra Lake, WA, Australia.
Daniel MullanInterGrain, Bibra Lake, WA, Australia.
Gabriel Keeble-GagnereAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Matthew J HaydenAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Josquin F G TibbitsAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Hans D DaetwylerAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
AgriBio · AUAgriculture Victoria · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the benefit from introgression of external lines into a cereal breeding programme and strategies that accelerated introgression of the favourable alleles while minimising linkage drag using stochastic computer simulation. We simulated genomic selection for disease resistance and grain yield in two environments with a high level of genotype-by-environment interaction (G × E) for the latter trait, using genomic data of a historical barley breeding programme as the base generation. Two populations (existing and external) were created from this base population with different allele frequencies for few (

Indexed as

cereal breeding programmedisease resistancegenomic selectionintrogressionlinkage drag

Identifiers

PMID35783964
PMCPMC9240786
OpenAlexW4282925089

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.