Evidence map›Paper›PMID 36474028›Full record

ArticleInternational journal of biometeorology2023

Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa.

Nicole Costa Resende Ferreira, Reimund Paul Rötter, Gennady Bracho-Mujica, William C D Nelson, Quang Dung Lam, Claus Recktenwald, Isaaka Abdulai, Jude Odhiambo, Stefan Foord

Open access · hybridAbstract read
In one paragraph

Article in International journal of biometeorology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Climate change impacts on livestock in Brazil.International journal of biometeorology · 2024
    Article
  5. Phytochemical composition ofFood chemistry: X · 2024
    Article
  6. 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

9 authors at 2 institutions in 2 countries.

Nicole Costa Resende FerreiraTropical Plant Production and Agricultural Systems Modelling (TROPAGS), Georg-August-Universität Göttingen, Grisebachstraße 6, 37077, Göttingen, Germany. Nicole.resende@uni-goettingen.de.ORCID http://orcid.org/0000-0002-3098-5993
Reimund Paul RötterTropical Plant Production and Agricultural Systems Modelling (TROPAGS), Georg-August-Universität Göttingen, Grisebachstraße 6, 37077, Göttingen, Germany.
Gennady Bracho-MujicaTropical Plant Production and Agricultural Systems Modelling (TROPAGS), Georg-August-Universität Göttingen, Grisebachstraße 6, 37077, Göttingen, Germany.
William C D NelsonTropical Plant Production and Agricultural Systems Modelling (TROPAGS), Georg-August-Universität Göttingen, Grisebachstraße 6, 37077, Göttingen, Germany.
Quang Dung LamTropical Plant Production and Agricultural Systems Modelling (TROPAGS), Georg-August-Universität Göttingen, Grisebachstraße 6, 37077, Göttingen, Germany.
Claus RecktenwaldKasisi Agricultural Training Center (KATC), Kasisi Mission, Farm 591, Lusaka, Zambia.
Isaaka AbdulaiTropical Plant Production and Agricultural Systems Modelling (TROPAGS), Georg-August-Universität Göttingen, Grisebachstraße 6, 37077, Göttingen, Germany.
Jude OdhiamboDepartment of Soil Science, University of Venda, Thohoyandou, 0950, South Africa.
Stefan FoordDepartment of Zoology, University of Venda, Thohoyandou, 0950, South Africa.
University of Göttingen · DEUniversity of Venda · ZA

Funding

BMBF 01LL1802ABMBF 031B0811A
6 · The paper itself

Abstract

Due to global climate change, droughts are likely to become more frequent and more severe in many regions such as in South Africa. In Limpopo, observed high climate variability and projected future climate change will likely increase future maize production risks. This paper evaluates drought patterns in Limpopo at two representative sites. We studied how drought patterns are projected to change under future climatic conditions as an important step in identifying adaptation measures (e.g., breeding maize ideotypes resilient to future conditions). Thirty-year time horizons were analyzed, considering three emission scenarios and five global climate models. We applied the WOFOST crop model to simulate maize crop growth and yield formation over South Africa's summer season. We considered three different crop emergence dates. Drought indices indicated that mainly in the scenario SSP5-8.5 (2051-2080), Univen and Syferkuil will experience worsened drought conditions (DC) in the future. Maize yield tends to decline and future changes in the emergence date seem to impact yield significantly. A possible alternative is to delay sowing date to November or December to reduce the potential yield losses. The grain filling period tends to decrease in the future, and a decrease in the duration of the growth cycle is very likely. Combinations of changed sowing time with more drought tolerant maize cultivars having a longer post-anthesis phase will likely reduce the potential negative impact of climate change on maize.

Indexed as

DroughtsZea maysAgricultureClimate ChangeEdible GrainSouth AfricaClimate changeCrop modelingDroughtsMaizeSouth Africa

Identifiers

PMID36474028
PMCPMC9758106
OpenAlexW4311690110

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.