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001-es BibID:	BIBFORM117451
035-os BibID:	(cikkazonosító)100323 (WoS)001134137300001 (Scopus)85179467649
Első szerző:	Altouma, Ahmed
Cím:	An environmental impact assessment of Saudi Arabia's vision 2030 for sustainable urban development : a policy perspective on greenhouse gas emissions / Ahmed Altouma, Bashar Bashir, Behnam Ata, Akasairi Ocwa, Abdullah Alsalman, Endre Harsányi, Safwan Mohammed
Dátum:	2024
ISSN:	2665-9727
Megjegyzések:	Globally, countries are legitimizing actions to curtail the malevolent impacts of environmental degradation. This study examined the interaction between CO2 emissions and selected economic variables within the framework of Saudi Arabia's Vision 2030. The Autoregressive distributed lag model (ARDL) was used to analyze the long-run relationships and short-run dynamics between studied variables (1970-2020). The Mann-Kendall (MK) test revealed a significant (p < 0.05) positive increase of GHGs emissions from all sectors across the KSA. The highest increased were captured at the electricity and heat by 7345454.47 tonnes of carbon dioxide-equivalents/year (p < 0.05). On the hand, the ARDL model indicates that GDP, agriculture, industry, services, and oil production have short-term effects on the environment through CO2 emissions. Therefore, GDP, agriculture, services and oil production contribute to increases in CO2 emissions. While industry contributes to decrease in CO2 emissions. The ARDL model also showed that an increase in GDP of 1 percent increases CO2 emissions by 3.46 percent, while an increase in oil production of 1 percent increases CO2 emissions by 4.04 percent. However, an increase in industry of 1 percent decreases CO2 emissions by 7.25 percent. The output of this research has a policy implication for addressing environmental concerns in the country.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Net-zero emissions Saudi vision ARDL Sustainable societies Climate change
Megjelenés:	Environmental and Sustainability Indicators. - 21 (2024), p. 1-13. -
További szerzők:	Bashir, Bashar Ata Behnam (1991-) (Geográfus PhD hallgató) Ocwa, Akasairi (1987-) (Crop scientist) Alsalman, Abdullah Harsányi Endre (1976-) (agrármérnök) Mohammed Safwan (1985-) (agrármérnök)
Pályázati támogatás:	TKP2021-NKTA-32 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM112188
035-os BibID:	(cikkazonosító)8945 (Scopus)85161694421 (WoS)001003826200001
Első szerző:	Shojaei, Seyed Habib (agrármérnök)
Cím:	Sustainability on different canola (Brassica napus L.) cultivars by GGE Biplot Graphical Technique in multi-environment / Seyed Habib Shojaei, Khodadad Mostafavi, Seyed Hamed Ghasemi, Mohammad Reza Bihamta, Árpád Illés, Csaba Bojtor, János Nagy, Endre Harsányi, Adrienn Széles, Seyed Mohammad Nasir Mousavi
Dátum:	2023
ISSN:	2071-1050
Megjegyzések:	Knowledge about the extent of genotype in environment interaction is helpful for farmers and plant breeders. This is because it helps them choose the proper strategies for agricultural management and breeding new cultivars. The main contribution of this paper is to investigate genotype on environmental interaction using the GGE biplot method (Genotype and the Genotypeby-Environment) in ten canola cultivars. The experimental design was a randomized complete block design (RCBD) with three replications to assess the stability of grain yield of ten canola cultivars in five regions of Iran, including Birjand, Karaj, Kashmar, Sanandaj, and Shiraz, within two agricultural years of 2016 and 2017. The results of combined ANOVA illustrated that the effects of the environment, genotype x environment, and genotype were highly significant at 1%. Variance Analysis showed that three environmental impacts, genotype, and interaction of genotype in the environment effect, produced 68.44%, 18.63%, and 12.9% of the total variance. The GGE biplot graphs were constructed using PCA. The first principle component (PC1) explained 65.3%, and the second (PC2) explained 18.8% of the total variation. The research examined polygon diagrams to identify two top genotypes and four mega-environments. Also, the appropriate genotypes for each environment were diagnosed. Using the GGE biplot, it was possible to make visual comparisons and identify superior genotypes in canola. Accordingly,. The results obtained from graphical analysis indicated that Licord, Hyola 401 and Okapi genotypes showed the highest yield and were selected as the most stable genotypes. Also, Karaj region was chosen as a experimental region where the screening of genotypes was very suitable. Based on the ranking of the genotypes in the most suitable region (Karaj), Okapi genotype was selected as the desired genotype. In examining the heatmap drawn between the genotypes and the investigated environments, a lot of similarity between the genotypes of Sarigal, Hyola 401 and Okapi was observed in the investigated environments. The GGE biplot graphs enabled the detection of stable and superior environments and the grouping of cultivars and environments based on grain yield. The results of this research can be used both for extension and for future breeding programs. Our results provide helpful information about the canola genotypes and environments for future breeding programs.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk canola combined analysis genotype in environment interaction GGE biplot
Megjelenés:	Sustainability. - 15 : 11 (2023), p. 1-14. -
További szerzők:	Mostafavi, Khodadad Ghasemi, Seyed Hamed Bihamta, Mohammad Reza Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Nagy János (1951-) (agrármérnök, mérnök-tanár) Harsányi Endre (1976-) (agrármérnök) Vad Attila (1981-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök)
Pályázati támogatás:	TKP2021-NKTA-32 Egyéb
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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