Evidence map›Paper›PMID 41310193›Full record

ArticleNature plants2025

Modelling the productivity of opportunity crops across Africa under climate change in support of the Vision for Adapted Crops and Soils.

Jose Rafael Guarin, Meijian Yang, Dilys S MacCarthy, Kevin Karl, Jonas Jägermeyr, Alex C Ruane, Andres Castellano, Bright S Freduah, Gershom O Wesley, Stephen Narh and 2 more

Abstract read
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In one paragraph

Article in Nature plants, 2025. 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. Article
  2. 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

12 authors.

Jose Rafael Guarin *Center for Climate Systems Research, Columbia Climate School, Columbia University, New York, NY, USA. jose.r.guarin@nasa.gov.ORCID 0000-0002-3167-4329
Meijian Yang *Center for Climate Systems Research, Columbia Climate School, Columbia University, New York, NY, USA. my2824@columbia.edu.ORCID 0000-0002-0704-7835
Dilys S MacCarthySoil and Irrigation Research Centre, School of Agriculture, College of Basic and Applied Sciences, University of Ghana, Kpong, Ghana.ORCID 0000-0002-8062-3499
Kevin KarlCenter for Climate Systems Research, Columbia Climate School, Columbia University, New York, NY, USA.ORCID 0000-0002-8916-5578
Jonas JägermeyrCenter for Climate Systems Research, Columbia Climate School, Columbia University, New York, NY, USA.
Alex C RuaneNASA Goddard Institute for Space Studies, New York, NY, USA.ORCID 0000-0002-5582-9217
Andres CastellanoAutonomic Integra LLC, Bethesda, MD, USA.
Bright S FreduahSoil and Irrigation Research Centre, School of Agriculture, College of Basic and Applied Sciences, University of Ghana, Kpong, Ghana.
Gershom O WesleySoil and Irrigation Research Centre, School of Agriculture, College of Basic and Applied Sciences, University of Ghana, Kpong, Ghana.ORCID 0009-0008-8316-2588
Stephen NarhSoil and Irrigation Research Centre, School of Agriculture, College of Basic and Applied Sciences, University of Ghana, Kpong, Ghana.
Elena Mendez LealCenter for Climate Systems Research, Columbia Climate School, Columbia University, New York, NY, USA.
Cynthia RosenzweigNASA Goddard Institute for Space Studies, New York, NY, USA.ORCID 0000-0002-8541-2201

Funding

Rockefeller Foundation 2023 FCW 004
6 · The paper itself

Abstract

Addressing future agricultural challenges requires breeding cultivars with improved tolerance to evolving climatic conditions. Many African traditional and indigenous 'opportunity crops' have shown increased resilience to climate hazards, yet have received minimal developmental investment. Here the SIMPLE process-based crop model is used to assess the impact of future climate change on the productivity of 5 staple crops and 19 African opportunity crops under low- and high-emissions scenario projections. Roots and tubers show the highest resiliency, while vegetables are the most vulnerable. Cassava, teff, grass pea, sesame seed and finger millet are projected to have the largest productivity increases, while mung bean, lablab, amaranth, Bambara groundnut and maize productivity are projected to decrease substantially. Soybean and cowpea, important cash crops in Africa, are projected to have comparable losses. Crops grown in the Sahel appear most susceptible to climate change, while crops in East and Central Africa show greater resilience. These findings guide regional investments in opportunity crop development and support their inclusion in adaptation measures.

Indexed as

Climate ChangeCrop ProductionCrops, AgriculturalSoilAfricaAgricultureSoil

Identifiers

PMID41310193

What OpenQuestion holds

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Registered trials

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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.