Evidence map›Paper›PMID 39565376›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Genomic resources, opportunities, and prospects for accelerated improvement of millets.

Faizo Kasule, Oumar Diack, Modou Mbaye, Ronald Kakeeto, Bethany Fallon Econopouly

Abstract readReview
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Faizo KasuleInterdepartmental Genetics and Genomics (IGG), Iowa State University, Ames, IA, 50011, USA.ORCID http://orcid.org/0000-0002-3130-1258
Oumar DiackCentre National de Recherches Agronomiques de Bambey (CNRA), Institut Sénégalais de Recherches Agricoles (ISRA), BP 53, Bambey, Sénégal.
Modou MbayeCentre d'Etude Régional Pour L'Amélioration de L'Adaptation À La Sécheresse (CERAAS), Institut Sénégalais de Recherches Agricoles (ISRA), Route de Khombole, BP 3320, Thiès, Sénégal.
Ronald KakeetoNational Agricultural Research Organization (NARO), National Semi-Arid Resources Research Institute (NaSARRI), P.O. Box 56, Soroti, Uganda.ORCID http://orcid.org/0000-0001-7622-6944
Bethany Fallon EconopoulyInstitute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA. econopouly@cornell.edu.ORCID http://orcid.org/0000-0002-0194-4834

Funding

United States Agency for International Development 7200AA-19LE-00005
6 · The paper itself

Abstract

key messageGenomic resources, alongside the tools and expertise required to leverage them, are essential for the effective improvement of globally significant millet crop species. Millets are essential for global food security and nutrition, particularly in sub-Saharan Africa and South Asia. They are crucial in promoting nutrition, climate resilience, economic development, and cultural heritage. Despite their critical role, millets have historically received less investment in developing genomic resources than major cereals like wheat, maize, and rice. However, recent advancements in genomics, particularly next-generation sequencing technologies, offer unprecedented opportunities for rapid improvement in millet crops. This review paper provides an overview of the status of genomic resources in millets and in harnessing the recent opportunities in artificial intelligence to address challenges in millet crop improvement to boost productivity, nutrition, and end quality. It emphasizes the significance of genomics in tackling global food security issues and underscores the necessity for innovative breeding strategies to translate genomics and AI into effective breeding strategies for millets.

Indexed as

Genome, PlantGenomicsMilletsPlant BreedingArtificial IntelligenceCrops, AgriculturalHigh-Throughput Nucleotide Sequencing

Identifiers

PMID39565376
PMCPMC11579216

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.