Evidence map›Paper›PMID 30824972›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019

Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder's equation.

Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan D Arbelaez, Jessica Rutkoski, Gary Atlin, Tom Hagen, Michael Quinn, Eng Hwa Ng

Open access · hybridAbstract readReview
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 142 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 1 pooled it
61.3field-weighted citation impact, top 1% of its field
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

142 citing papers in PubMed, 1 synthesis or guideline pooled it, 415 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Improving hybrid breeding efficiency in winter oilseed rape under sparse multi-environment testing.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Genetic Mapping of thePlants (Basel, Switzerland) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

82 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 at 3 institutions in 6 countries.

Joshua N CobbInternational Rice Research Institute, Los Banos, Laguna, Philippines. j.cobb@irri.org.ORCID http://orcid.org/0000-0002-1732-2378
Roselyne U JumaInternational Rice Research Institute, Los Banos, Laguna, Philippines.
Partha S BiswasInternational Rice Research Institute, Los Banos, Laguna, Philippines.
Juan D ArbelaezInternational Rice Research Institute, Los Banos, Laguna, Philippines.
Jessica RutkoskiInternational Rice Research Institute, Los Banos, Laguna, Philippines.
Gary AtlinBill and Melinda Gates Foundation, Seattle, WA, USA.
Tom HagenCGIAR Excellence in Breeding Platform (EiB), El Batan, Mexico.
Michael QuinnCGIAR Excellence in Breeding Platform (EiB), El Batan, Mexico.
Eng Hwa NgCGIAR Excellence in Breeding Platform (EiB), El Batan, Mexico.
International Rice Research Institute · PHCGIAR · FRGates Foundation · US

Funding

Bill and Melinda Gates Foundation OPP1076488
6 · The paper itself

Abstract

key messageThe integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian genetics. The breeder's equation is the foundational application of quantitative genetics to crop improvement. Guided by the variables that describe response to selection, emerging breeding technologies can make a powerful step change in the effectiveness of public breeding programs. The most promising innovations for increasing the rate of genetic gain without greatly increasing program size appear to be related to reducing breeding cycle time, which is likely to require the implementation of parent selection on non-inbred progeny, rapid generation advance, and genomic selection. These are complex processes and will require breeding organizations to adopt a culture of continuous optimization and improvement. To enable this, research managers will need to consider and proactively manage the, accountability, strategy, and resource allocations of breeding teams. This must be combined with thoughtful management of elite genetic variation and a clear separation between the parental selection process and product development and advancement process. With an abundance of new technologies available, breeding teams need to evaluate carefully the impact of any new technology on selection intensity, selection accuracy, and breeding cycle length relative to its cost of deployment. Finally breeding data management systems need to be well designed to support selection decisions and novel approaches to accelerate breeding cycles need to be routinely evaluated and deployed.

Indexed as

Public SectorGenetic MarkersInheritance PatternsPlant BreedingPlantsPolymorphism, Single NucleotideSelection, GeneticGenetic Markers

Identifiers

PMID30824972
PMCPMC6439161
OpenAlexW2918389998

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.