Evidence map›Paper›PMID 29200436›Full record

ArticlePloS one2017

Genomic selection of crossing partners on basis of the expected mean and variance of their derived lines.

Tanja Osthushenrich, Matthias Frisch, Eva Herzog

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Why usefulness is rarely useful.G3 (Bethesda, Md.) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  17. Article
  18. Article
  19. 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.

Tanja OsthushenrichInstitute of Agronomy and Plant Breeding II, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.
Matthias FrischInstitute of Agronomy and Plant Breeding II, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.
Eva HerzogInstitute of Agronomy and Plant Breeding II, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.ORCID http://orcid.org/0000-0001-8670-7688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a line or a hybrid breeding program superior lines are selected from a breeding pool as parental lines for the next breeding cycle. From a cross of two parental lines, new lines are derived by single-seed descent (SSD) or doubled haploid (DH) technology. However, not all possible crosses between the parental lines can be carried out due to limited resources. Our objectives were to present formulas to characterize a cross by the mean and variance of the genotypic values of the lines derived from the cross, and to apply the formulas to predict means and variances of flowering time traits in recombinant inbred line families of a publicly available data set in maize. We derived formulas which are based on the expected linkage disequilibrium (LD) between two loci and which can be used for arbitrary mating systems. Results were worked out for SSD and DH lines derived from a cross after an arbitrary number of intermating generations. The means and variances were highly correlated with results obtained by the simulation software PopVar. Compared with these simulations, computation time for our closed formulas was about ten times faster. The means and variances for flowering time traits observed in the recombinant inbred line families of the investigated data set showed correlations of around 0.9 for the means and of 0.46 and 0.65 for the standard deviations with the estimated values. We conclude that our results provide a framework that can be exploited to increase the efficiency of hybrid and line breeding programs by extending genomic selection approaches to the selection of crossing partners.

Indexed as

Crosses, GeneticModels, GeneticSelection, GeneticComputer SimulationGenetic LociGenotypeHaploidyLinkage DisequilibriumPhenotypePlant BreedingQuantitative Trait LociZea mays

Identifiers

PMID29200436
PMCPMC5714341

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.