Evidence map›Paper›PMID 35614172›Full record

ArticleScientific reports2022

Assessing the impacts of agricultural drought (SPI/SPEI) on maize and wheat yields across Hungary.

Safwan Mohammed, Karam Alsafadi, Glory O Enaruvbe, Bashar Bashir, Ahmed Elbeltagi, Adrienn Széles, Abdullah Alsalman, Endre Harsanyi

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Frontiers in plant science · 2023
    Article
  6. Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa.International journal of environmental research and public health · 2022
    Article
  7. 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

8 authors.

Safwan MohammedInstitute of Land Use, Engineering and Precision Farming Technology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Böszörményi 138, 4032, Debrecen, Hungary. safwan@agr.unideb.hu.ORCID http://orcid.org/0000-0003-2311-6789
Karam AlsafadiSchool of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China.ORCID http://orcid.org/0000-0001-8925-7918
Glory O EnaruvbeAfrican Regional Institute for Geospatial Information Science and Technology, Obafemi Awolowo University, Ile-Ife, 220282, Nigeria.ORCID https://orcid.org/0000-0002-8235-0834
Bashar BashirDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh, 11421, Saudi Arabia.
Ahmed ElbeltagiAgricultural Engineering Dept., Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt.
Adrienn SzélesInstitute of Land Use, Engineering and Precision Farming Technology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Böszörményi 138, 4032, Debrecen, Hungary.
Abdullah AlsalmanDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh, 11421, Saudi Arabia.
Endre HarsanyiInstitute of Land Use, Engineering and Precision Farming Technology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Böszörményi 138, 4032, Debrecen, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the physical properties of agricultural drought (i.e., intensity, duration, and severity) in Hungary from 1961 to 2010 based on the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The study analyzed the interaction between drought and crop yield for maize and wheat using standardized yield residual series (SYRS), and the crop-drought resilient factor (CDRF). The results of both SPI and SPEI (-3, -6) showed that the western part of Hungary has significantly more prone to agricultural drought than the eastern part of the country. Drought frequency analysis reveals that the eastern, northern, and central parts of Hungary were the most affected regions. Drought analysis also showed that drought was particularly severe in Hungary during 1970-1973, 1990-1995, 2000-2003, and 2007. The yield of maize was more adversely affected than wheat especially in the western and southern regions of Hungary (1961-2010). In general, maize and wheat yields were severely non-resilient (CDRF < 0.8) in the central and western part of the country. The results suggest that drought events are a threat to the attainment of the second Sustainable Development Goals (SDG-2). Therefore, to ensure food security in Hungary and in other parts of the world, drought resistant crop varieties need to be developed to mitigate the adverse effects of climate change on agricultural production.

Indexed as

DroughtsTriticumAgricultureHungaryZea mays

Identifiers

PMID35614172
PMCPMC9132936

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.