Evidence map›Paper›PMID 38726298›Full record

ArticleFrontiers in plant science2024

Utilizing genomic prediction to boost hybrid performance in a sweet corn breeding program.

Marco Antônio Peixoto, Kristen A Leach, Diego Jarquin, Patrick Flannery, Jared Zystro, William F Tracy, Leonardo Bhering, Márcio F R Resende

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Genomic Prediction in a Self-Fertilized Progenies ofPlants (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Review
  10. 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

8 authors.

Marco Antônio PeixotoLaboratório de Biometria, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Kristen A LeachDepartment of Horticultural Sciences, University of Florida, Gainesville, FL, United States.
Diego JarquinDepartment of Agronomy, University of Florida, Gainesville, FL, United States.
Patrick FlanneryDepartment of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI, United States.
Jared ZystroOrganic Seed Alliance, Port Townsend, WA, United States.
William F TracyDepartment of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI, United States.
Leonardo BheringLaboratório de Biometria, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Márcio F R ResendeDepartment of Horticultural Sciences, University of Florida, Gainesville, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweet corn breeding programs, like field corn, focus on the development of elite inbred lines to produce commercial hybrids. For this reason, genomic selection models can help the

Indexed as

cross-validation schemesG×E interactionhybrid predictionnon-additive effectsRKHS model

Identifiers

PMID38726298
PMCPMC11080654

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.