
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Assessing the impacts of agricultural drought (SPI/SPEI) on maize and wheat yields across Hungary

pmid: 35614172
pmc: PMC9132936
AbstractThis 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.
- King Saud University Saudi Arabia
- King Saud University Saudi Arabia
- Adekunle Ajasin University Nigeria
- Mansoura University Egypt
- University of Debrecen Hungary
Adaptation to Climate Change in Agriculture, Climate Change and Variability Research, Agricultural productivity, Precipitation, Crop, Agricultural and Biological Sciences, Climate change, Triticum, Global and Planetary Change, Evapotranspiration, Geography, Ecology, Q, R, Life Sciences, Agriculture, Droughts, Archaeology, Physical Sciences, Metallurgy, Medicine, Science, Yield (engineering), Zea mays, Article, Environmental science, Meteorology, Crop yield, Biology, Ecology, Evolution, Behavior and Systematics, Hungary, Drought, Food security, Drought tolerance, Agronomy, Materials science, FOS: Biological sciences, Global Drought Monitoring and Assessment, Environmental Science
Adaptation to Climate Change in Agriculture, Climate Change and Variability Research, Agricultural productivity, Precipitation, Crop, Agricultural and Biological Sciences, Climate change, Triticum, Global and Planetary Change, Evapotranspiration, Geography, Ecology, Q, R, Life Sciences, Agriculture, Droughts, Archaeology, Physical Sciences, Metallurgy, Medicine, Science, Yield (engineering), Zea mays, Article, Environmental science, Meteorology, Crop yield, Biology, Ecology, Evolution, Behavior and Systematics, Hungary, Drought, Food security, Drought tolerance, Agronomy, Materials science, FOS: Biological sciences, Global Drought Monitoring and Assessment, Environmental Science
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).69 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
