Evidence map›Paper›PMID 39402155›Full record

ReviewNature genetics2024

Potential approaches to create ultimate genotypes in crops and livestock.

Ben J Hayes, Timothy J Mahony, Kira Villiers, Christie Warburton, Kathryn E Kemper, Eric Dinglasan, Hannah Robinson, Owen Powell, Kai Voss-Fels, Ian D Godwin and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Exploring standing genetic variation for barley leaf rust resistance in Australian breeding panel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  4. Review
  5. Haplotype stacking to improve stability of stripe rust resistance in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  6. Optimising parent selection in plant breeding: comparing metaheuristic algorithms for genotype building.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Animal genetics 100 years ago.Animal genetics · 2025
    Article
  12. Article
  13. Review
  14. 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

11 authors.

Ben J HayesQueensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia. b.hayes@uq.edu.au.ORCID http://orcid.org/0000-0002-5606-3970
Timothy J MahonyQueensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia.ORCID http://orcid.org/0000-0003-4573-7906
Kira VilliersQueensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia.
Christie WarburtonQueensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia.ORCID http://orcid.org/0000-0003-3687-1580
Kathryn E KemperInstitute for Molecular Biology, the University of Queensland, St Lucia, Queensland, Australia.
Eric DinglasanQueensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia.
Hannah RobinsonDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.
Owen PowellQueensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia.
Kai Voss-FelsDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.
Ian D GodwinQueensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia.ORCID http://orcid.org/0000-0002-4006-4426
Lee T HickeyQueensland Alliance for Agriculture and Food Innovation, the University of Queensland, St Lucia, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many thousands and, in some cases, millions of individuals from the major crop and livestock species have been genotyped and phenotyped for the purpose of genomic selection. 'Ultimate genotypes', in which the marker allele haplotypes with the most favorable effects on a target trait or traits in the population are combined together in silico, can be constructed from these datasets. Ultimate genotypes display up to six times the performance of the current best individuals in the population, as demonstrated for net profit in dairy cattle (incorporating a range of economic traits), yield in wheat and 100-seed weight in chickpea. However, current breeding strategies that aim to assemble ultimate genotypes through conventional crossing take many generations. As a hypothetical thought piece, here, we contemplate three future pathways for rapidly achieving ultimate genotypes: accelerated recombination with gene editing, direct editing of whole-genome haplotype sequences and synthetic biology.

Indexed as

Crops, AgriculturalGenotypeHaplotypesLivestockAnimalsBreedingCattleGene EditingPlant Breeding

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.