Evidence map›Paper›PMID 37455348›Full record

ReviewThe plant genome2024

What plant breeding may (and may not) look like in 2050?

Filippo M Bassi, Miguel Sanchez-Garcia, Rodomiro Ortiz

Abstract readReview
In one paragraph

Review in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Special Issue: "Molecular Genetics and Plant Breeding, 5th Edition".International journal of molecular sciences · 2025
    Article
  4. Review
  5. Article
  6. Early detection ofData in brief · 2025
    Article
  7. Review
  8. Genetic improvement of robusta coffee (Frontiers in plant science · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Biocultural diversity and crop improvement.Emerging topics in life sciences · 2023
    Review
  17. Review
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.

Filippo M BassiInternational Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco.ORCID https://orcid.org/0000-0002-1164-5598
Miguel Sanchez-GarciaInternational Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco.
Rodomiro OrtizDepartment of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden.ORCID https://orcid.org/0000-0002-1739-7206

Funding

Arab Fund for Economic and Social DevelopmentBertebos Prize of the Royal Swedish Academy of Agriculture and ForestryOne CGIAR Accelerated Breeding InitiativeVetenskapsrådet
6 · The paper itself

Abstract

At the turn of 2000 many authors envisioned future plant breeding. Twenty years after, which of those authors' visions became reality or not, and which ones may become so in the years to come. After two decades of debates, climate change is a "certainty," food systems shifted from maximizing farm production to reducing environmental impact, and hopes placed into GMOs are mitigated by their low appreciation by consumers. We revise herein how plant breeding may raise or reduce genetic gains based on the breeder's equation. "Accuracy of Selection" has significantly improved by many experimental-scale field and laboratory implements, but also by vulgarizing statistical models, and integrating DNA markers into selection. Pre-breeding has really promoted the increase of useful "Genetic Variance." Shortening "Recycling Time" has seen great progression, to the point that achieving a denominator equal to "1" is becoming a possibility. Maintaining high "Selection Intensity" remains the biggest challenge, since adding any technology results in a higher cost per progeny, despite the steady reduction in cost per datapoint. Furthermore, the concepts of variety and seed enterprise might change with the advent of cheaper genomic tools to monitor their use and the promotion of participatory or citizen science. The technological and societal changes influence the new generation of plant breeders, moving them further away from field work, emphasizing instead the use of genomic-based selection methods relying on big data. We envisage what skills plant breeders of tomorrow might need to address challenges, and whether their time in the field may dwindle.

Indexed as

GenomePlant BreedingGenetic MarkersGenomicsSeedsGenetic Markers

Identifiers

PMID37455348
PMCPMC12806966

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.