Evidence map›Paper›PMID 40608086›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Assessing and mining grain amaranth diversity for sustainable cropping systems.

Markus G Stetter, Dinesh C Joshi, Akanksha Singh

Abstract readReview
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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.

Markus G StetterInstitute for Plant Sciences, University of Cologne, Cologne, Germany. m.stetter@uni-koeln.de.ORCID http://orcid.org/0000-0001-7136-0589
Dinesh C JoshiICAR-Vivekananda Institute of Hill Agriculture (Vivekananda Parvatiya Krishi Anusandhan Sansthan), Almora, Uttarakhand, India.
Akanksha SinghCluster of Excellence on Plant Sciences, University of Cologne, Cologne, Germany. asingh3@uni-koeln.de.

Funding

Department of Biotechnology IC-12025 (11)/1/2021-ICD-DBTDeutsche Forschungsgemeinschaft CRC TRR 341/1-456082119Deutsche Forschungsgemeinschaft STE 2654/4
6 · The paper itself

Abstract

Global challenges and new demands require adaptation of cropping systems. Plant genetic diversity can contribute to adapt and improve crops and create more sustainable agricultural systems. In order to harness this diversity, a unified framework that combines genomic, ecological, and geographical approaches is needed for targeted conservation efforts and breeding strategies. In this review, we discuss the potential of genetic diversity to improve the nutritious and resilient pseudocereal grain amaranth. We emphasize on the utilization of within crop diversity and crop wild relatives. We discuss the impact of hybridization and introgression in facilitating the exchange of genetic material between wild and cultivated amaranth, highlighting their significance in broadening the crop's genetic base. Additionally, we focus on utilization of climate distribution models in predicting the future geographic ranges and their suitability with implications for conservation and future sustainability. We aim to suggest a roadmap for leveraging genetic diversity of underutilized crops to contribute to resilient and sustainable cropping systems in a changing climate.

Indexed as

AmaranthusCrops, AgriculturalEdible GrainGenetic VariationAgricultureConservation of Natural ResourcesHybridization, GeneticPlant Breeding

Identifiers

PMID40608086
PMCPMC12226704

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.