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1.

001-es BibID:BIBFORM097275
035-os BibID:(cikkazonosító)6495 (WoS)000713999600001 (Scopus)85125205821
Első szerző:Harsányi Endre (agrármérnök)
Cím:GHGs Emission from the Agricultural Sector within EU-28: A Multivariate Analysis Approach / Endre Harsányi, Bashar Bashir, Gafar Almhamad, Omar Hijazi, Mona Maze, Ahmed Elbeltagi, Abdullah Alsalman, Glory O. Enaruvbe, Safwan Mohammed, Szilárd Szabó
Dátum:2021
ISSN:1996-1073
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Energies. - 14 : 20 (2021), p. 1-18. -
További szerzők:Bashir, Bashar Gafar, Almhamad (1993-) Hijazi, Omar Maze, Mona Elbeltagi, Ahmed Alsalman, Abdullah Enaruvbe, Glory O. Mohammed Safwan (1985-) (agrármérnök) Szabó Szilárd (1974-) (geográfus)
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2.

001-es BibID:BIBFORM107439
035-os BibID:(cikkazonosító)104947 (WoS)000963237400001 (Scopus)85146558007
Első szerző:Mirzaei, Morad
Cím:Assessment of soil CO2 and NO fluxes in a semi-arid region using machine learning approaches / Morad Mirzaei, Manouchehr Gorji Anari , Eugenio Diaz-Pines, Nermina Saronjic, Safwan Mohammed, Szilard Szabo, Seyed Mohammad Nasir Mousavi, Andres Caballero Calvo
Dátum:2023
ISSN:0140-1963
Megjegyzések:Agricultural lands are sources and sinks of greenhouse gases (GHGs). The identification of the main drivers affecting GHGs is crucial for planning sustainable agronomic practices and mitigating global warming potential. The main aim of this research was to evaluate the impact of environmental drivers (soil temperature and water-filled pore space, WFPS) and crop residue rates on CO2, NO, and NOx fluxes under conventional tillage (CT) and no-tillage (NT) systems. The accuracy of Random Forest Regression (RFR), Multiple Adaptive Regression Splines (MARS), and General Linear Models (GLM) in predicting CO2, NO, and NOx fluxes were also assessed. In both CT and NT systems, CO2, NO, and NOx fluxes decreased with increasing WFPS. Increasing temperature resulted in higher CO2 emissions and lower NO and NOx emissions. Higher residue rates resulted in significant increases in CO2 emission, whereas the NO and NOx emissions increased by decreasing the ratio of residue. For CO2 prediction, the RFR provided the largest R2 with the observed data. For NO-N and NOx-N prediction, RFR was the most efficient algorithm, but NO?N can be predicted with better accuracy. The output of this research highlights the importance of agronomic practices for climate mitigation, along with the possibility of using RFR to predict GHGs fluxes.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Agroecosystems
Classical regression
Climate change
NOx
Machine learning
Iran
Megjelenés:Journal Of Arid Environments. - 211 (2023), p. 1-9. -
További szerzők:Anari, Manouchehr Gorji Diaz-Pines, Eugenio Saronjic, Nermina Mohammed Safwan (1985-) (agrármérnök) Szabó Szilárd (1974-) (geográfus) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Caballero-Calvo, Andrés
Pályázati támogatás:TKP2021-NKTA-32
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3.

001-es BibID:BIBFORM105120
035-os BibID:(WOS)000869106800001 (Scopus)85139856111 (cikkazonosító)11786221221128789
Első szerző:Mirzaei, Morad
Cím:Soil Nitrous Oxide Emissions Following Crop Residues Management in Corn-Wheat Rotation Under Conventional and No-Tillage Systems / Morad Mirzaei, Manouchehr Gorji Anari, Arezoo Taghizadeh-Toosi, Mohammad Zaman, Nermina Saronjic, Safwan Mohammed, Szilard Szabo, Andrés Caballero-Calvo
Dátum:2022
ISSN:1178-6221
Megjegyzések:Agricultural activity is the major anthropogenic source of nitrous oxide (N2O) emissions from terrestrial ecosystems. Conservation agriculture including crop residue management can play a key role in enhancing soil resilience to climate change and mitigating N2O emissions. We investigated the effects of crop residue rates, including 100 % (R100), 50 % (R50), and residue removal (R0), on N2O emissions in corn-wheat rotation under conventional (CT) and no-tillage (NT) systems. The key factors evaluated affecting N2O emissions included soil temperature, soil moisture, soil ammonium, and soil nitrate concentrations. Results showed that the N2O emissions increased with the increasing rate of residue under both CT and NT systems. Both R100 and R50 significantly (p?<?.05) increased the N2O emissions compared to R0 during the annual rotation cycle. Soil moisture and mineral nitrogen (ammonium and nitrate) were the main driving factors that stimulated N2O emission in both CT and NT systems. In the NT and CT systems, cumulative N2O emissions showed a significant increase with R50 (+75.5 % in NT, +36.5 % in CT) and R100 (+134 % in NT, +40 % in CT) as compared to R0. Furthermore, no significant differences were found between R100 and R50 in the CT system, while in the NT system significant increases were observed for R100 compared to R50. Overall, our study justified as a first approach only during the first year that crop residue removal led to decreased N2O emissions under semi-arid conditions. However, due to the deteriorating impact of crop residue removal on crop productivity and soil C sequestration, this management method cannot be considered a sustainable agronomic practice. We suggest long-term studies to determine the appropriate rate of postharvest crop residue to achieve less N2O emissions and climate-friendly agricultural practices.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Greenhouse gases
crop residue
soil management
nitrous oxide emission
conventional tillage
no-tillage
global warming
Megjelenés:Air, Soil and Water Research. - 15 (2022), p. 1-12. -
További szerzők:Anari, Manouchehr Gorji Taghizadeh-Toosi, Arezoo Zaman, Mohammad Saronjic, Nermina Mohammed Safwan (1985-) (agrármérnök) Szabó Szilárd (1974-) (geográfus) Caballero-Calvo, Andrés
Pályázati támogatás:NKFI-TNN-123457
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4.

001-es BibID:BIBFORM114827
035-os BibID:(cikkazonosító)100312 (WoS)001105611200001 (Scopus)85174233743
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Assessment of the environmental kuznets curve within EU-27: Steps toward environmental sustainability (1990-2019) / Safwan Mohammed, Abid Rashid Gill, Kaushik Ghosal, Main Al-Dalahmeh, Karam Alsafadi, Szabó Szilárd, Judit Oláh, Ali Alkerdi, Akasairi Ocwa, Endre Harsanyi
Dátum:2024
ISSN:2666-4984
Megjegyzések:Reducing environmental pollution is a critical goal in global environmental economics and economic development. The European Union (EU) faces environmental challenges due to its development activities. Here we present a comprehensive approach to assess the impact of carbon dioxide (CO2) emissions, energy consumption (EC), population structure (POP), economy (GDP), and policies on the environment within the EU using the environmental Kuznets curve (EKC). Our research reveals that between 1990 and 2019, the EU-27 experienced an increase of +1.18 million tonnes of oil equivalent (Mtoe) per year in energy consumption (p < 0.05), while CO2 emissions decreased by 24.25 million tonnes (Mt) per year (p < 0.05). The highest reduction in CO2 emissions occurred in Germany (-7.52 Mt CO2 annually), and the lowest in Latvia (-0.087 Mt CO2 annually). The empirical EKC analysis shows an inverted-U shaped relationship between GDP and CO2 emissions in the EU-27. Specifically, a 1% increase in GDP results in a 0.705% increase in carbon emission, while a 1% increase in GDP(2) leads to a 0.062% reduction in environmental pollution in the long run (p < 0.01). These findings indicate that economic development within the EU has reached a stage where economic growth positively impacts the environment. Overall, this study provides insights into the effectiveness of environmental policies in mitigating degradation and promoting green growth in the EU 27 countries.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Climate change
Environmental management
Sustainable communities
Green growth
Megjelenés:Environmental Science and Ecotechnology. - 18 (2024), p. 1-13. -
További szerzők:Gill, Abid Rashid Ghosal, Kaushik Al-Dalahmeh, Main (1985-) Alsafadi, Karam Szabó Szilárd (1974-) (geográfus) Oláh Judit (1973-) (agrárközgazdász, logisztika) Alkerdi, Ali Ocwa, Akasairi (1987-) (Crop scientist) Harsányi Endre (1976-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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5.

001-es BibID:BIBFORM108818
035-os BibID:(WoS)000956899600001 (Scopus)85151408992
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland : A case study in Syria / Safwan Mohammed, Ali Jouhra, Glory O. Enaruvbe, Bashar Bashir, Mona Barakat, Firas Alsilibe, Luc Cimusa Kulimushi, Abdullah Alsalman, Szilárd Szabó
Dátum:2023
ISSN:1085-3278
Megjegyzések:The development of new techniques, such as machine learning (ML), can provide better insight into the processes and drivers of soil erosion and runoff. However, the performance of these techniques to assess soil erosion in agricultural landscapes is poorly understood. The aim of this study was to evaluate the performance of four machine learning algorithms, Generalized Linear Model (GLM), Random Forest Regression (RF), Elastic Net Regression (EN) and Multiple Adaptive Regression Splines (MARS), in predicting soil erosion and runoff in Syria. Soil erosion and runoff were measured on three experimental plots (2.25 m ??1.50 m ??0.50 m, 0.10 m depth in the soil), combined with 3 different slopes and land use types: RS (8%, olive), SS (12%, citrus), KS (20%, pomegranate). Both erosion and runoff were determined after rainfall events of >10?mm between October 2019 and April 2020. Based on 24 effective rainfall events, the average soil erosion was 0.18?0.14 kg/m2 per event in KS, 0.14?0.11 kg/m2 per event in SS, and 0.12?0.10 kg/m2 per event in RS. Regression analysis indicated strong relationship between the rainfalls and the runoff, the highest connection was recorded in the KS plot (r2=0.85; p<0.05, n=24). The analysis of covariance indicated that only the runoff had a significant impact on soil erosion (p=0.02) with a medium effect (?2p=0.26). However, the impacts of rainfall events and slope categories on soil erosion were limited (?2p<0.01) and not significant (p>0.05). ML techniques were usually efficient in the prediction, the RF and MARS models were the most accurate: RF had the strongest correlation with the measured values (r=0.85) with a low estimation error (0.06 kg/m2), but MARS's standard deviation (SD) was closer to the recorded values' SD. GLM and and EN were the weakest predictor models. Modelled values of the slightest slope (8%) had the worst accuracies, and the predictions of the 12% slope were the best in all models. This study provides important insights into the usefulness of machine learning techniques and algorithms in predicting the rate of soil erosion and runoff in agricultural dominated landscapes. We highlighted that the RF and MARS algorithms were better predictors of soil erosion and runoff in the coastal region of Syria.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
soil properties
Entisols
GLM
ML-algorithms
Syria
Megjelenés:Land Degradation & Development. - [Epub ahead of print] : - (2023), p.1-38. -
További szerzők:Jouhra, Ali Enaruvbe, Glory O. Bashir, Bashar Barakat, Mona Alsilibe, Firas Cimusa Kulimushi, Luc Alsalman, Abdullah Szabó Szilárd (1974-) (geográfus)
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6.

001-es BibID:BIBFORM095983
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Soil carbon dioxide emissions from maize (Zea mays L.) fields as influenced by tillage management and climate / Safwan Mohammed, Morad Mirzaei, Ágnes Pappné Törő, Manouchehr Gorji Anari, Ebrahim Moghiseh, Hossein Asadi, Szilárd Szabó, Adrienn Kakuszi-Széles, Endre Harsányi
Dátum:2022
ISSN:1531-0353
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Irrigation And Drainage. - 71 (2022), p. 228-240. -
További szerzők:Mirzaei, Morad Törő Ágnes (1991-) (élelmezésbiztonsági szakértő) Anari, Manouchehr Gorji Moghiseh, Ebrahim Asadi, Hossein Szabó Szilárd (1974-) (geográfus) Széles Adrienn (1980-) (okleveles agrármérnök) Harsányi Endre (1976-) (agrármérnök)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-0000
EFOP
KP2020-IKA-04
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7.

001-es BibID:BIBFORM093929
035-os BibID:(cikkazonosító)e06764
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Assessing the WEPP model performance for predicting daily runoff in three terrestrial ecosystems in western Syria / Safwan Mohammed, Mais Hussien, Karam Alsafadi, Ali Mokhtar, Guido Rianna, Issa Kbibo, Mona Barkat, Swapan Talukdar, Szilárd Szabó, Endre Harsanyi
Dátum:2021
ISSN:2405-8440
Megjegyzések:Soil erosion is one of the main threats facing the agriculture and natural resources sector all over the world, and the same is true for Syria. Several empirical and physically based tools have been proposed to assess erosion induced soil losses and runoff driving the processes, from plot to regional spatial scales. The main goal of this research is to evaluate the performance of the Water Erosion Prediction Project (WEPP) model in predicting runoff in comparison with field experiments in the Al-Sabahia region of Western Syria in three ecosystems: agricultural lands (AG), burned forest (BF) and forest (FO). To achieve this, field experimental plots (2?1.65?0.5 m) were prepared to obtain runoff observation data between September 2012 and December 2013. In addition, the input data (atmospheric forcing, soil, slope, land management) were prepared to run the WEPP model to estimate the runoff. The results indicate that the average observed runoffs in the AG, BF and FO were 12.54 ? 1.17, 4.81 ? 0.97 and 1.72 ? 0.16 mm/event, respectively, while the simulated runoffs in the AG, BF and FO were 15.15 ? 0.89, 9.23 ? 1.48 and 2.61 ? 0.47mm/event, respectively. The statistical evaluation of the model's performance showed an unsatisfactory performance of the WEPP model for predicting the run-offs in the study area. This may be caused by the structural flaws in the model, and/or the insufficient site-specific input parameters. So, to achieve good performance and reliable results of the WEPP model, more observation data is required from different ecosystems in Syria. These findings can provide guidance to planners and environmental engineers for proposing environmental protection and water resources management plans in the Coastal Region in Syria.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
soil erosion
wepp model
runoff prediction
ecosystem
statistical analysis
Megjelenés:Heliyon. - 7 : 4 (2021), p. 1-12. -
További szerzők:Hussien, Mais Alsafadi, Karam Mokhtar, Ali Rianna, Guido Kbibo, Issa Barkat, Mona Talukdar, Swapan Szabó Szilárd (1974-) (geográfus) Harsányi Endre (1976-) (agrármérnök)
Pályázati támogatás:TKP2020-IKA-04
Egyéb
2020-4.1.1-TKP2020
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8.

001-es BibID:BIBFORM089395
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Impacts of rainstorms on soil erosion and organic matter for different cover crop systems in the western coast agricultural region of Syria / Safwan Mohammed, Ebaa Hassan, Hazem Ghassan Abdo, Szilard Szabo, Ali Mokhtar, Karam Alsafadi, Issam Al-Khouri, Jesus Rodrigo-Comino
Dátum:2021
ISSN:0266-0032
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Soil Use And Management. - 37 : 1 (2021), p. 196-213. -
További szerzők:Hassan, Ebaa Abdo, Hazem Ghassan Szabó Szilárd (1974-) (geográfus) Mokhtar, Ali Alsafadi, Karam Al-Khouri, Issam Rodrigo-Comino, Jesús
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9.

001-es BibID:BIBFORM088332
035-os BibID:(cikkazonosító)2786 (Scopus)85092708721 (WoS)000585255400001
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Estimating Human Impacts on Soil Erosion Considering Different Hillslope Inclinations and Land Uses in the Coastal Region of Syria / Safwan Mohammed, Hazem G. Abdo, Szilard Szabo, Quoc Bao Pham, Imre J. Holb, Nguyen Thi Thuy Linh, Duong Tran Anh, Karam Alsafadi, Ali Mokhtar, Issa Kbibo, Jihad Ibrahim, Jesus Rodrigo-Comino
Dátum:2020
ISSN:2073-4441
Megjegyzések:Soils in the coastal region of Syria (CRoS) are one of the most fragile components of natural ecosystems. However, they are adversely affected by water erosion processes after extreme land cover modifications such as wildfires or intensive agricultural activities. The main goal of this research was to clarify the dynamic interaction between erosion processes and different ecosystem components (inclination, land cover/land use, and rainy storms) along with the vulnerable territory of the CRoS. Experiments were carried out in five different locations using a total of 15 erosion plots. Soil loss and runoff were quantified in each experimental plot, considering different inclinations and land uses (agricultural land (AG), burnt forest (BF), forest/control plot (F)). Observed runoff and soil loss varied greatly according to both inclination and land cover after 750 mm of rainfall (26 events). In the cultivated areas, the average soil water erosion ranged between 0.14 ? 0.07 and 0.74 ? 0.33 kg/m2; in the BF plots, mean soil erosion ranged between 0.03 ? 0.01 and 0.24 ? 0.10 kg/m2. The lowest amount of erosion was recorded in the F plots where the erosion ranged between 0.1 ? 0.001 and 0.07 ? 0.03 kg/m2. Interestingly, the General Linear Model revealed that all factors (i.e., inclination, rainfall and land use) had a significant (p < 0.001) effect on the soil loss. We concluded that human activities greatly influenced soil erosion rates, being higher in the AG lands, followed by BF and F. Therefore, the current study could be very useful to policymakers and planners for proposing immediate conservation or restoration plans in a less studied area which has been shown to be vulnerable to soil erosion processes.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
soil management
land cover changes
Syria
soil erosion
hillslopes
Megjelenés:Water. - 12 : 10 (2020), p. 1-25. -
További szerzők:Abdo, Hazem Ghassan Szabó Szilárd (1974-) (geográfus) Pham, Quoc Bao Holb Imre (1973-) (agrármérnök) Linh, Nguyen Thi Thuy Anh, Duong Tran Alsafadi, Karam Mokhtar, Ali Kbibo, Issa Ibrahim, Jihad Rodrigo-Comino, Jesús
Pályázati támogatás:Tématerületi Kiválósági Program (ED_18-1-2019-0028)
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10.

001-es BibID:BIBFORM087876
035-os BibID:(cikkazonosító)2529 (Scopus)85090981264 (WoS)000581970800001
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Soil Management Effects on Soil Water Erosion and Runoff in Central Syria : A Comparative Evaluation of General Linear Model and Random Forest Regression / Safwan Mohammed, Ali Al-Ebraheem, Imre J. Holb, Karam Alsafadi, Mohammad Dikkeh, Quoc Bao Pham, Nguyen Thi Thuy Linh, Szilard Szabo
Dátum:2020
ISSN:2073-4441
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Water. - 12 : 9 (2020), p. 1-19. -
További szerzők:Al-Ebraheem, Ali Holb Imre (1973-) (agrármérnök) Alsafadi, Karam Dikkeh, Mohammad Pham, Quoc Bao Linh, Nguyen Thi Thuy Szabó Szilárd (1974-) (geográfus)
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11.

001-es BibID:BIBFORM094218
035-os BibID:(cikkazonosító)935 (WoS)000653289800001 (Scopus)85106529645
Első szerző:Négyesi Gábor (geográfus)
Cím:Influence of Soil Moisture and Crust Formation on Soil Evaporation Rate: A Wind Tunnel Experiment in Hungary / Gábor Négyesi, Szilárd Szabó, Botond Buró, Safwan Mohammed, József Lóki, Kálmán Rajkai, Imre J. Holb
Dátum:2021
ISSN:2073-4395
Megjegyzések:In both arid and semiarid regions, erosion by wind is a significant threat against sustainability of natural resources. The objective of this work was to investigate the direct impact of various soil moisture levels with soil texture and organic matter on soil crust formation and evaporation. Eighty soil samples with different texture (sand: 19, loamy sand: 21, sandy loam: 26, loam: 8, and silty loam: 6 samples) were collected from the Nyírség region (Eastern Hungary). A wind tunnel experiment was conducted on four simulated irrigation rates (0.5, l.0, 2.0, and 5.0 mm) and four levels of wind speeds (4.5, 7.8, 9.2, and 15.5 m s?1). Results showed that watering with a quantity equal to 5 mm rainfall, with the exception of sandy soils, provided about 5?6 h protection against wind erosion, even in case of a wind velocity as high as 15.5 m s?1. An exponential connection was revealed between wind velocities and the times of evaporation (R2 = 0.88?0.99). Notably, a two-way ANOVA test revealed that both wind velocity (p < 0.001) and soil texture (p < 0.01) had a significant effect on the rate of evaporation, but their interaction was not significant (p = 0.26). In terms of surface crusts, silty loamy soils resulted in harder and more solid crusts in comparison with other textures. In contrast, crust formation in sandy soils was almost negligible, increasing their susceptibility to wind erosion risk. These results can support local municipalities in the development of a local plan against wind erosion phenomena in agricultural areas.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
wind tunnel
wetting front
SDGs
regional planning
Megjelenés:Agronomy-Basel. - 11 : 5 (2021), p. 1-16. -
További szerzők:Szabó Szilárd (1974-) (geográfus) Buró Botond (1986-) (geográfus) Mohammed Safwan (1985-) (agrármérnök) Lóki József (1946-) (geográfus) Rajkai Kálmán (1951-) (biológus) Holb Imre (1973-) (agrármérnök)
Pályázati támogatás:GINOP-2.3.2-15-2016-00009
GINOP
K131478
OTKA
TKP2020-NKA-04
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12.

001-es BibID:BIBFORM112204
035-os BibID:(cikkazonosító)14 (Scopus)85160908963
Első szerző:Ocwa, Akasairi (Crop scientist)
Cím:A bibliographic review of climate change and fertilization as the main drivers of maize yield: implications for food security / Akasairi Ocwa ; Endre Harsanyi ; Adrienn Széles ; Imre János Holb ; Szilárd Szabó ; Tamás Rátonyi ; Safwan Mohammed
Dátum:2023
ISSN:2048-7010
Megjegyzések:Introduction Crop production contribution to food security faces unprecedented challenge of increasing human population. This is due to the decline in major cereal crop yields including maize resulting from climate change and declining soil infertility. Changes in soil nutrient status and climate have continued to occur and in response, new fertilizer recommendations in terms of formulations and application rates are continuously developed and applied globally. In this sense, this review was conducted to: (i) identify the key areas of concentration of research on fertilizer and climate change effect on maize grain yield, (ii) assess the extent of the effect of climate change on maize grain yield, (iii) evaluate the extent of the effect of fertilization practices on maize grain yield, and (iv) examine the effect of interaction between climate change factors and fertilization practices on maize grain yield at global perspective.MethodologyComprehensive search of global literature was conducted in Web of Science (WoS) database. For objective 1, metadata on co-authorship (country, organisation), and co-occurrence of keywords were exported and analysed using VOSviewer software. For objective 2-4, yield data for each treatment presented in the articles were extracted and yield increment calculated.ResultsThe most significant keywords: soil fertility, nutrient use efficiency, nitrogen use efficiency, integrated nutrient management, sustainability, and climate change adaptation revealed efforts to improve maize production, achieve food security, and protect the environment. A temperature rise of 1-4 °C decreased yield by 5-14% in warm areas and increased by < 5% in cold areas globally. Precipitation reduction decreased yield by 25-32%, while CO2concentration increased and decreased yield by 2.4 to 7.3% and 9 to 14.6%, respectively. A promising fertilizer was a combination of urea +nitrapyrin with an average yield of 5.1 and 14.4 t ha?1 under non-irrigation and irrigation, respectively. Fertilization under climate change was projected to reduce yield in the average range of 10.5-18.3% by 2099.ConclusionThe results signified that sole fertilizer intensification is insufficient to attain sustainable maize yield. Therefore, there is need for integrated agronomic research that combines fertilizers and other technologies for enhancing maize yield, and consequently maize contribution to the attainment of global food security under climate change conditions
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Climate change
Drought
Fertilizers
Heat stress
Maize
Nitrogen
Temperature
Yield
Megjelenés:Agriculture & Food Security. - 12 : 1 (2023), p. 1-18. -
További szerzők:Harsányi Endre (1976-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) Holb Imre (1973-) (agrármérnök) Szabó Szilárd (1974-) (geográfus) Rátonyi Tamás (1967-) (agrármérnök) Mohammed Safwan (1985-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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