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The influence of climate change on the sesame yield in North Gondar, North Ethiopia: Application Autoregressive Distributed Lag (ARDL) time series model.

التفاصيل البيبلوغرافية
العنوان: The influence of climate change on the sesame yield in North Gondar, North Ethiopia: Application Autoregressive Distributed Lag (ARDL) time series model.
المؤلفون: Abebe DM; Department of Statistics, College of Natural and Computational Science, Jigjiga University, Jigjiga, Ethiopia., Mengistie DT; Department of Statistics, College of Natural and Computational Science, Jigjiga University, Jigjiga, Ethiopia. dagne.tesstat1216@gmail.com., Mekonen AA; Department of Statistics, College of Natural and Computational Science, Jigjiga University, Jigjiga, Ethiopia.
المصدر: BMC plant biology [BMC Plant Biol] 2024 Jun 06; Vol. 24 (1), pp. 506. Date of Electronic Publication: 2024 Jun 06.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : BioMed Central, [2001-
مواضيع طبية MeSH: Climate Change* , Sesamum*/growth & development , Sesamum*/physiology, Ethiopia ; Rain ; Temperature
مستخلص: Sesame is a major annual oil crop that is grown practically everywhere in tropical and subtropical Asia, as well as Africa, for its very nutritious and tasty seeds. Rising temperatures, droughts, floods, desertification, and weather all have a significant impact on agricultural production, particularly in developing countries like Ethiopia. Therefore, the main objective of this study is to examine the influence of climate change on the sesame yield in North Gondar, North Ethiopia, by using the autoregressive distributed Lag (ARDL) time series model. This study employed climate data from the Bahirdar Agrometeorological Center and secondary data on sesame production from the Ethiopian Statistical Service, spanning 36 years, from 1987 to 2023. Autoregressive Distributed LAG (ARDL) includes diagnostic tests for both short- and long-term autoregressive models. The results for the long-run and short-run elastic coefficients show a significant positive association between temperatures and sesame yield. Sesame yield and rainfall have a significant negative long-run and short-run relationship in North Gondar, North Ethiopia. ARDL results confirm that temperature and rainfall have significant effects on sesame productivity. Temperature had a considerable favorable effect on sesamen production, but rainfall had a negative effect in North Gondar, Ethiopia. Based on the evidence acquired from our study, we made several policy recommendations and suggestions to government officials, policymakers, new technologies, researchers, policy development planners, and other stakeholders in order to develop or implement new technology to halt its production and direct adaptation measures in light of the certainty of global warming and the characteristics of climate-dependent agricultural production.
(© 2024. The Author(s).)
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Environ Sci Pollut Res Int. 2020 Apr;27(11):11944-11957. (PMID: 31982999)
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فهرسة مساهمة: Keywords: ARDL; Co-integration and FE; ECM; Rainfall; Temperature; Yields of sesame
تواريخ الأحداث: Date Created: 20240605 Date Completed: 20240606 Latest Revision: 20240608
رمز التحديث: 20240608
مُعرف محوري في PubMed: PMC11155004
DOI: 10.1186/s12870-024-05203-4
PMID: 38840055
قاعدة البيانات: MEDLINE
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