Evidence map›Paper›PMID 35061854›Full record

ArticlePloS one2022

Climate change impact on wheat and maize growth in Ethiopia: A multi-model uncertainty analysis.

Fasil Mequanint Rettie, Sebastian Gayler, Tobias K D Weber, Kindie Tesfaye, Thilo Streck

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
19.6field-weighted citation impact, top 1% of its field
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

11 citing papers in PubMed, 52 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Fasil Mequanint RettieInstitute of Soil Science and Land Evaluation, Biogeophysics, University of Hohenheim, Stuttgart, Germany.ORCID 0000-0001-6049-1794
Sebastian GaylerInstitute of Soil Science and Land Evaluation, Biogeophysics, University of Hohenheim, Stuttgart, Germany.ORCID 0000-0002-8577-6486
Tobias K D WeberInstitute of Soil Science and Land Evaluation, Biogeophysics, University of Hohenheim, Stuttgart, Germany.ORCID 0000-0002-3448-5208
Kindie TesfayeInternational Maize and Wheat Improvement Centre (CIMMYT), Addis Ababa, Ethiopia.
Thilo StreckInstitute of Soil Science and Land Evaluation, Biogeophysics, University of Hohenheim, Stuttgart, Germany.
University of Hohenheim · DEInternational Maize and Wheat Improvement Center · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethiopia's economy is dominated by agriculture which is mainly rain-fed and subsistence. Climate change is expected to have an adverse impact particularly on crop production. Previous studies have shown large discrepancies in the magnitude and sometimes in the direction of the impact on crop production. We assessed the impact of climate change on growth and yield of maize and wheat in Ethiopia using a multi-crop model ensemble. The multi-model ensemble (n = 48) was set up using the agroecosystem modelling framework Expert-N. The framework is modular which facilitates combining different submodels for plant growth and soil processes. The multi-model ensemble was driven by climate change projections representing the mid of the century (2021-2050) from ten contrasting climate models downscaled to finer resolution. The contributions of different sources of uncertainty in crop yield prediction were quantified. The sensitivity of crop yield to elevated CO2, increased temperature, changes in precipitations and N fertilizer were also assessed. Our results indicate that grain yields were very sensitive to changes in [CO2], temperature and N fertilizer amounts where the responses were higher for wheat than maize. The response to change in precipitation was weak, which we attribute to the high water holding capacity of the soils due to high organic carbon contents at the study sites. This may provide the sufficient buffering capacity for extended time periods with low amounts of precipitation. Under the changing climate, wheat productivity will be a major challenge with a 36 to 40% reduction in grain yield by 2050 while the impact on maize was modest. A major part of the uncertainty in the projected impact could be attributed to differences in the crop growth models. A considerable fraction of the uncertainty could also be traced back to different soil water dynamics modeling approaches in the model ensemble, which is often ignored. Uncertainties varied among the studied crop species and cultivars as well. The study highlights significant impacts of climate change on wheat yield in Ethiopia whereby differences in crop growth models causes the large part of the uncertainties.

Indexed as

Climate ChangeModels, BiologicalCrops, AgriculturalEthiopiaTriticumZea mays

Identifiers

PMID35061854
PMCPMC8782302
OpenAlexW4205916272

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.