Evidence map›Paper›PMID 41902534›Full record

ArticleThe plant genome2026

Optimum recombination rates for genetic gains in simulated recurrent selection in empirical maize populations.

Chandrappa Anilkumar, Rex Bernardo

Abstract read
In one paragraph

Article in The plant genome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Chandrappa AnilkumarDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-7359-1249
Rex BernardoDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0003-3323-4690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meiotic recombination creates new allelic combinations, but it also disrupts favorable parental haplotypes. Our objective was to assess if optimum recombination rates exist in elite maize (Zea mays L.) populations undergoing simulated short-term and long-term recurrent selection. Genomewide marker effects were calculated for eight populations genotyped with 3072 single nucleotide polymorphism markers and phenotyped in up to 18 environments for yield, moisture, test weight, and plant and ear height. The recombination rate was altered by multiplying the sizes of linkage maps by 0.25-10. The regression of genetic gain on the number of crossovers was often curvilinear, and an optimum number of crossovers (CO

Indexed as

Recombination, GeneticSelection, GeneticZea maysCrossing Over, GeneticGenetic LinkageHaplotypesPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID41902534
PMCPMC13032164

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.