Evidence map›Paper›PMID 31548720›Full record

ArticleNature genetics2019

Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics.

Philomin Juliana, Jesse Poland, Julio Huerta-Espino, Sandesh Shrestha, José Crossa, Leonardo Crespo-Herrera, Fernando Henrique Toledo, Velu Govindan, Suchismita Mondal, Uttam Kumar and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing 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

132 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Content characteristics and genetic architecture of macronutrient signatures in cottonseed.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Reinforced Defenses:International journal of molecular sciences · 2025
    Review
  20. Review

72 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

24 authors.

Philomin JulianaInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Jesse PolandWheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.ORCID http://orcid.org/0000-0002-7856-1399
Julio Huerta-EspinoCampo Experimental Valle de Mexico, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias (INIFAP), Chapingo, Mexico.
Sandesh ShresthaWheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.
José CrossaInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.ORCID http://orcid.org/0000-0001-9429-5855
Leonardo Crespo-HerreraInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Fernando Henrique ToledoInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Velu GovindanInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Suchismita MondalInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.ORCID http://orcid.org/0000-0002-8582-8899
Uttam KumarBorlaug Institute for South Asia (BISA), New Delhi, India.
Sridhar BhavaniInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Pawan K SinghInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Mandeep S RandhawaInternational Maize and Wheat Improvement Center (CIMMYT), Nairobi, Kenya.
Xinyao HeInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Carlos GuzmanInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Susanne DreisigackerInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.ORCID http://orcid.org/0000-0002-3546-5989
Matthew N RouseUnited States Department of Agriculture, Agricultural Research Service (USDA-ARS), Cereal Disease Laboratory and Department of Plant Pathology, University of Minnesota, St Paul, MN, USA.
Yue JinUnited States Department of Agriculture, Agricultural Research Service (USDA-ARS), Cereal Disease Laboratory and Department of Plant Pathology, University of Minnesota, St Paul, MN, USA.
Paulino Pérez-RodríguezColegio de Post graduados, Montecillos, Mexico.
Osval A Montesinos-LópezFacultad de Telematica, Universidad de Colima, Colima, Mexico.
Daljit SinghWheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.
Mohammad Mokhlesur RahmanWheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.ORCID http://orcid.org/0000-0003-1831-3198
Felix MarzaInstituto Nacional de Innovación Agropecuaria y Forestal (INIAF), La Paz, Bolivia.
Ravi Prakash SinghInternational Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico. r.singh@cgiar.org.ORCID http://orcid.org/0000-0002-4676-5071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bread wheat improvement using genomic tools is essential for accelerating trait genetic gains. Here we report the genomic predictabilities of 35 key traits and demonstrate the potential of genomic selection for wheat end-use quality. We also performed a large genome-wide association study that identified several significant marker-trait associations for 50 traits evaluated in South Asia, Africa and the Americas. Furthermore, we built a reference wheat genotype-phenotype map, explored allele frequency dynamics over time and fingerprinted 44,624 wheat lines for trait-associated markers, generating over 7.6 million data points, which together will provide a valuable resource to the wheat community for enhancing productivity and stress resilience.

Indexed as

Quantitative Trait LociAscomycotaChromosome MappingDisease ResistanceEdible GrainGenetic Association StudiesGenetic MarkersGenome, PlantGenome-Wide Association StudyGenomicsPlant BreedingPlant DiseasesSelection, GeneticStress, PhysiologicalTriticumGenetic Markers

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.