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1.

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
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2.

001-es BibID:BIBFORM100875
035-os BibID:(cikkazonosító)3339 (WOS)000774243700001 (Scopus)85126999358
Első szerző:Csajbók József (agrármérnök)
Cím:Multispectral Analysis of Small Plots Based on Field and Remote Sensing Surveys-A Comparative Evaluation / József Csajbók, Erika Buday-Bódi, Attila Nagy, Zsolt Zoltán Fehér, András Tamás, István Csaba Virág, Csaba Bojtor, Fanni Forgács, Attila Miklós Vad, Erika Kutasy
Dátum:2022
ISSN:2071-1050
Megjegyzések:Remote sensing is an efficient method of monitoring experiments rapidly and by enabling the collection of significantly more detailed data, than using only field measurements, ensuring new possibilities in scientific research. A small plot field experiment was conducted in a randomized block design with winter oat (Avena sativa L.) varieties in Debrecen, Hungary in the 2020/2021 cropping year. Multiple field measurements and aerial surveys were carried out examining the response of oat on Silicon and Sulfur foliar fertilization treatments thereby monitoring their effects on the physiology, production and stress tolerance. Parallel application of in situ (elevation, soil pH, NDVI, SPAD, chlorophyll content) and aerial (NDVI, NDRE) surveys including unmanned aerial vehicles (UAVs) provided a diverse source of data for evaluation. Both the oat varieties (88.9%) and the foliar fertilization treatments (87.5%) were correctly classified and clearly separated with the discriminant analysis based on measured data. The Pearson correlation analysis showed a very strong positive connection (r = 0.895?1.00) between the NDVI values measured using a hand-held system and UAV-installed camera, except the third measurement time, where the correlation was weaker (r = 0.70). Our results indicate that field experiments can be effectively supported by UAVs.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
remote sensing
UAV
NDVI
NDRE
SPAD
LAI
chlorophyll
oats
foliar fertilization
Megjelenés:Sustainability. - 14 : 6 (2022), p. 1-22. -
További szerzők:Bódi Erika (1989-) (geológus, geográfus) Nagy Attila (1982-) (környezetgazdálkodási agrármérnök) Fehér Zsolt Zoltán (1984-) (geoinformatika) Tamás András (1986-) (gazdasági agrármérnök, növénytermesztés és kertészeti tudományok) Virág István Csaba (1994-) (agrármérnök) Bojtor Csaba (1993-) (okleveles növényorvos) Forgács Fanni (1998-) agrármérnök Vad Attila (1981-) (agrármérnök) Kutasy Erika (1974-) (agrármérnök)
Pályázati támogatás:EFOP-3.6.1-16-2016-00022
EFOP
EFOP-3.6.3-VEKOP-16-2017-00008
EFOP
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3.

001-es BibID:BIBFORM118443
035-os BibID:(Scopus)85183187117
Első szerző:Mirzaei, Morad
Cím:Crop Residues Stimulate Yield-Scaled Greenhouse Gas Emissions In Maize-Wheat Cropping Rotation In A Semi-Arid Climate / Morad Mirzaei, Manouchehr Gorji Anari, Maurício Roberto Cherubin, Nermina Saronjic, Seyed Mohammad Nasir Mousavi, Azin Rooien, Mohammad Zaman, Andrés Caballero-Calvo
Dátum:2024
ISSN:2071-9388 2542-1565
Megjegyzések:Mitigating yield-scaled greenhouse gas emissions (YSE) is beneficial for enhancing crop yield, reducing greenhouse gas (GHG) emissions, and advancing climate-smart agronomic management practices. This study aims to evaluate the impact of different crop residue rates? 100% (R100), 50% (R50), and residue removal (R0) ? on the YSE indicator within a maize-wheat cropping rotation under both conventional tillage (CT) and no-tillage (NT) systems in a semi-arid region. In the NT system, crop residues had a notable effect on the YSE indicator for wheat. Specifically, R0 exhibited a 39% and 20% decrease in YSE for wheat compared to R100 and R50, respectively. Interestingly, crop residue did not significantly influence YSE for maize under the NT system. On the other hand, in the CT system, YSE for maize in R0 was 33% and 25% lower than that in R100 and R50, respectively. Additionally, compared to R0, there were observed increases of 28% and 20% in YSE for wheat in R100 and R50 under the CT system, respectively. Our findings show that crop residue removal decreases YSE under both CT and NT systems. However, given that this practice degrades soil quality and results in lower yields, it is not considered a sustainable management practice compared to residue retention options. This research highlights the importance of evaluating GHG mitigation strategies by concurrently considering both emissions and crop production. Nevertheless, it is essential to conduct off-site assessments of GHG emissions from crop residue application and also engage in long-term studies to comprehend the full potential of crop residue management on YSE.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
climate change
conservation agriculture
cropping system
food security
greenhouse gas emissions
oil health
soil management
Megjelenés:Geography, Environment, Sustainability. - 16 : 4 (2024), p. 125-132. -
További szerzők:Anari, Manouchehr Gorji Cherubin, Maurício Roberto Saronjic, Nermina Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Rooien, Azin Zaman, Mohammad Caballero-Calvo, Andrés
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4.

001-es BibID:BIBFORM079928
035-os BibID:(Scopus)85071669719
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Climate Change Indicators In Alsheikh-Badr Basin (Syria) / Safwan A. Mohammed, Riad Qara Fallah
Dátum:2019
ISSN:2071-9388 2542-1565
Megjegyzések:The trends and variability of climate change were studied through analyzing the trend of change in the annual temperature and rainfall averages during the period (1960 - 2016) in Al-Sheikh Badr Region by using Normal Distribution and De-Martonne index. The results showed a (-189 mm) linear decrease in the general trend of the rainfall, associated with a (+0.9°C) increase in the general trend of the temperature between 1960 and 2016. Also, Normal distribution showed that the probability of extreme temperatures events higher than 17.5oC increased from 3.3% during the period 1960-1990 to 24.8% during the period 1991-2016. While the probability of an extreme annual rainfall (more than 1800 mm) decreases from 5.3% to 4.7%, nevertheless, the probability of rainfall events less than 800mm where increased. Furthermore, there is a significant trend of drought in the studied area, where the De-Martonne index reaches (-10.75) through the period (1960-2016).
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Megjelenés:Geography, environment, sustainability. - 12 : 2 (2019), p. 87-96. -
További szerzők:Fallah, Riad Qara
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5.

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
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Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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