Evidence map›Paper›PMID 30798332›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019

Technological advances in maize breeding: past, present and future.

Carson Andorf, William D Beavis, Matthew Hufford, Stephen Smith, Walter P Suza, Kan Wang, Margaret Woodhouse, Jianming Yu, Thomas Lübberstedt

Abstract readReview
PubMed Publisher
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
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  7. Cloning and function analysis ofPlant signaling & behavior · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. The Enhancement of aPlants (Basel, Switzerland) · 2025
    Article
  12. Article
  13. 50 years of breeding to improve yield: how maize stands up to climate change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  14. Article
  15. The Effect ofPlants (Basel, Switzerland) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

9 authors.

Carson AndorfUSDA-ARS, Ames, IA, 50011-1010, USA.
William D BeavisDepartment of Agronomy, Iowa State University, Agronomy Hall, Ames, IA, 50011-1010, USA.
Matthew HuffordDepartment of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA, 50011-1010, USA.
Stephen SmithDepartment of Agronomy, Iowa State University, Agronomy Hall, Ames, IA, 50011-1010, USA.
Walter P SuzaDepartment of Agronomy, Iowa State University, Agronomy Hall, Ames, IA, 50011-1010, USA.
Kan WangDepartment of Agronomy, Iowa State University, Agronomy Hall, Ames, IA, 50011-1010, USA.
Margaret WoodhouseUSDA-ARS, Ames, IA, 50011-1010, USA.
Jianming YuDepartment of Agronomy, Iowa State University, Agronomy Hall, Ames, IA, 50011-1010, USA.
Thomas LübberstedtDepartment of Agronomy, Iowa State University, Agronomy Hall, Ames, IA, 50011-1010, USA. thomasL@iastate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize has for many decades been both one of the most important crops worldwide and one of the primary genetic model organisms. More recently, maize breeding has been impacted by rapid technological advances in sequencing and genotyping technology, transformation including genome editing, doubled haploid technology, parallelled by progress in data sciences and the development of novel breeding approaches utilizing genomic information. Herein, we report on past, current and future developments relevant for maize breeding with regard to (1) genome analysis, (2) germplasm diversity characterization and utilization, (3) manipulation of genetic diversity by transformation and genome editing, (4) inbred line development and hybrid seed production, (5) understanding and prediction of hybrid performance, (6) breeding methodology and (7) synthesis of opportunities and challenges for future maize breeding.

Indexed as

Chromosome MappingGenetic VariationGenome, PlantGenomicsPlant BreedingZea mays

Identifiers

What OpenQuestion holds

Textmetadata
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.