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1.

001-es BibID:BIBFORM133163
Első szerző:Illés Árpád (növényorvos)
Cím:Optimizing Nitrogen Fertilization in Maize Production to Improve Yield and Grain Composition Based on NDVI Vegetation Assessment / Árpád Illés, Csaba Bojtor, Endre Harsányi, János Nagy, Lehel Lengyel, Adrienn Széles
Dátum:2025
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agriculture. - 15 (2025), p. 1-19. -
További szerzők:Bojtor Csaba (1993-) (okleveles növényorvos) Harsányi Endre (1976-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár) Lengyel Lehel (2002-) Széles Adrienn (1980-) (okleveles agrármérnök)
Pályázati támogatás:TKP2021-NKTA- 32
Egyéb
(BO/00068/23/4)
Egyéb
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2.

001-es BibID:BIBFORM123728
035-os BibID:(WoS)001323535600001 (Scopus)85205042360
Első szerző:Nagy János (agrármérnök, mérnök-tanár)
Cím:The Impact of Crop Year and Crop Density on the Production of Sunflower in Site-Specific Precision Farming in Hungary / János Nagy, Mihály Zalai, Árpád Illés, Szabolcs Monoki
Dátum:2024
ISSN:2077-0472
Megjegyzések:Sunflower is considered a plant with extraordinary adaptability. However, the conditions of growing sunflower function as a limiting factor in its production. The hybrids used in production tolerate weather variability to a different level and utilise the nutrient and water resources of the soil, while the yield is also affected by the number of plants per hectare. In this study, the authors attempted to observe the environmental effects influencing sunflower cultivation, the heterogeneous productivity zones of the given production site and the correlation of the number of seeding plants used under various farm practices. The average rainfall of 2021 and the dry weather of 2022 created suitable conditions for examining the yearly weather effect. In the selected experimental areas, three distinguishable zones were defined in terms of productivity. In each productivity zone, three crop density steps were used in four replicates. Based on the performed comparative tests, the rainy year of 2021 resulted higher yield than the drier year of 2022 in the average- and high productivity zones, while in the low-productivity zone, higher yields were harvested under the drier conditions of 2022 than in the rainy year of 2021. In 2021, with the improvement in productivity, the obtained yield was also higher. However, in 2022, this clarity could not be demonstrated. In the zones with low productivity, identical yield results were observed in both weather conditions. Based on the examination of the obtained results, it was shown that the effect of weather conditions and the given number of plants have a smaller influence on the yield results of low-productivity zones, while these factors have a greater influence on the yields of high-productivity zones.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
crop density
crop year effect
productivity zone
sunflower
Megjelenés:Agriculture-Basel. - 14 : 9 (2024), p. 1-14. -
További szerzők:Zalai Mihály Illés Árpád (1994-) (növényorvos) Monoki Szabolcs Imre (1978-) (Agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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Internet cím:DOI
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3.

001-es BibID:BIBFORM125468
035-os BibID:(Scopus)85210276846 (WoS)001363593900001
Első szerző:Radócz László (Növényorvos)
Cím:Multispectral UAV-Based Disease Identification Using Vegetation Indices for Maize Hybrids / László Radócz, Csaba Juhász, András Tamás, Árpád Illés, Péter Ragán, László Radócz
Dátum:2024
ISSN:2077-0472
Megjegyzések:Abstract: In the future, the cultivation of maize will become more and more prominent. As the world's demand for food and animal feeding increases, remote sensing technologies (RS technologies), especially unmanned aerial vehicles (UAVs), are developing more and more, and the usability of the cameras (Multispectral-MS) installed on them is increasing, especially for plant disease detection and severity observations. In the present research, two different maize hybrids, P9025 and sweet corn Dessert R78 (CS hybrid), were employed. Four different treatments were performed with three different doses (low, medium, and high dosage) of infection with corn smut fungus (Ustilago maydis [DC] Corda). The fields were monitored two times after the inoculation?20 DAI (days after inoculation) and 27 DAI. The orthomosaics were created in WebODM 2.5.2 software and the study included five vegetation indices (NDVI [Normalized Difference Vegetation Index], GNDVI [Green Normalized Difference Vegetation Index], NDRE [Normalized Difference Red Edge], LCI [Leaf Chlorophyll Index] and ENDVI [Enhanced Normalized Difference Vegetation Index]) with further analysis in QGIS. The gathered data were analyzed using R-based Jamovi 2.6.13 software with different statistical methods. In the case of the sweet maize hybrid, we obtained promising results, as follows: the NDVI values of CS 0 were significantly higher than the high-dosed infection CS 10.000 with a mean difference of 0.05422 *** and a p value of 4.43 ? 10?5 value, suggesting differences in all of the levels of infection. Furthermore, we investigated the correlations of the vegetation indices (VI) for the Dessert R78, where NDVI and GNDVI showed high correlations. NDVI had a strong correlation with GNDVI (r = 0.83), a medium correlation with LCI (r = 0.56) and a weak correlation with NDRE (r = 0.419). There was also a strong correlation between LCI and GNDVI, with r = 0.836. NDRE and GNDVI indices had the correlation coefficients with a CCoeff. of r = 0.716. For hybrid separation analyses, useful results were obtained for NDVI and ENDVI as well.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
UAV
Plant protection
GIS
Vegetation indices
Plant disease
Megjelenés:Agriculture-Basel. - 14 : 11 (2024), p. 1-15. -
További szerzők:Juhász Csaba (1995-) (okleveles növényorvos, mezőgazdasági mérnök) Tamás András (1986-) (gazdasági agrármérnök, növénytermesztés és kertészeti tudományok) Illés Árpád (1994-) (növényorvos) Ragán Péter (1986-) (környzetgazdálkodási agrármérnök) Radócz László (1965-) (növényvédő agrármérnök)
Pályázati támogatás:ÚNKP-2023-3
Egyéb
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4.

001-es BibID:BIBFORM122355
035-os BibID:(WoS)001276496500001 (Scopus)85199619194
Első szerző:Sojnóczki István
Cím:Comparative Analysis of Drought Effects on the Soil Moisture Level and Penetration Resistance in Conventional and Non-Conventional Tillage Systems in Maize Production / István Sojnóczki, János Nagy, Árpád Illés, István Kecskés, Csaba Bojtor
Dátum:2024
ISSN:2077-0472
Megjegyzések:The period of extreme weather anomalies in recent years has challenged farmers, and this has encouraged greater adaptability in farming practices. In the last decade, conventional tillage systems have been complemented by more biologically based cropping systems. The research evaluated the impact of drought on soil physical parameters in maize production by testing different conventional and non-conventional tillage systems to ensure optimal soil physical parameters. In the analysis of the prevailing weather conditions, rainfall values were divided into two parts, the pre-growing season and the growing season. We studied different climatic seasons. In 2021, the soil moisture content in the upper shallow 15 cm soil layer during the sowing period in April in the case of conventional tillage was significantly lower than in reduced tillage, conservation tillage and strip tillage. The most significant difference was measured between conventional and conservation tillage, with a difference of 11.25 v/v%. The 2022 crop year was extremely dry. In June, the highest moisture value in the soil was measured in the case of strip tillage with a value of 21.64 v/v%, which was more than 60% higher than in the case of conventional and conservation tillage. In conventional tillage, a very pronounced compacted layer was observed in the lower part of the ploughed layer. This zone reached a compaction of 6.9 MPa between 28 and 34 cm, which is agronomically harmful. No compacted soil layer was found in the experiment site under conservation tillage. In the severe drought year of 2022, only the strip-till system provided the proper water management conditions for the maize stand.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agriculture-Basel. - 14 : 7 (2024), p. 1-16. -
További szerzők:Nagy János (1951-) (agrármérnök, mérnök-tanár) Illés Árpád (1994-) (növényorvos) Kecskés István (1988-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos)
Pályázati támogatás:TKP2021-NKTA-32
Egyéb
C1005854
Egyéb
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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5.

001-es BibID:BIBFORM109784
035-os BibID:(Scopus)85152002959 (WoS)000953872600001
Első szerző:Tamás András (gazdasági agrármérnök, növénytermesztés és kertészeti tudományok)
Cím:Assessment of NDVI dynamics of maize (Zea mays L.) and its relation to grain yield in a polyfactorial experiment based on remote sensing / Tamás András, Kovács Elza, Horváth Éva, Juhász Csaba, Radócz László, Rátonyi Tamás, Ragán Péter
Dátum:2023
ISSN:0551-3677 1338-4376
Megjegyzések:Remote sensing is an efficient tool to detect vegetation heterogeneity and dynamics of crop development in real-time. In this study, the performance of three maize hybrids (Fornad FAO-420, Merida FAO-380, and Corasano FAO-490-510) was monitored as a function of nitrogen dose (0, 80 and 160 kg N ha?1 ), soil tillage technologies (winter ploughing, strip-tillage, and ripping), and irrigation (rainfed and 3x25 mm) in a warm temperature dry region of East-Central Europe. Dynamics of the Normalized Difference Vegetation Index (NDVI) were followed in the vegetation period of 2021, a year of drought, by using sensors mounted on an unmanned aerial vehicle. N-fertilization resulted in significantly higher NDVI throughout the entire vegetation period (p < 0.001) in each experimental combination. A significant positive effect of irrigation was observed on the NDVI during the drought period (77-141 days after sowing). For both the tillage technologies and hybrids, NDVI was found to be significantly different between treatments, but showing different dynamics. Grain yield was in strong positive correlation with the NDVI between the late vegetative and the early generative stages (r = 0.80-0.84). The findings suggest that the NDVI dynamics is an adequate indicator for evaluating the impact of different treatments on plant development and yield prediction.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agriculture-Basel. - 13 : 3 (2023), p. 1-17. -
További szerzők:Kovács Elza (1976-) (okleveles vegyész, angol-magyar szakfordító, anyagmérnök MSc) Horváth Éva (1993-) (környezetgazdálkodási agrármérnök) Juhász Csaba (1962-) (környezetgazdálkodási agrármérnök) Radócz László (1996-) (Növényorvos) Rátonyi Tamás (1967-) (agrármérnök) Ragán Péter (1986-) (környzetgazdálkodási agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
Egyéb
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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6.

001-es BibID:BIBFORM135500
Első szerző:Wasikoyo, Erastus Masika
Cím:Plant-Soil Microbe Interactions` Effects on CO2 Emissions, Soil Organic Carbon and Nutrients Under Different Tillage Systems / Erastus Wasikoyo, Jozsef Zsembeli, Njomza Gashi, Costa Gumisiriya, Juhasz Csaba
Dátum:2026
ISSN:2077-0472
Megjegyzések:Soil microbes are central to carbon and nutrient cycling; however, the influence of tillage practices on plant-soil microbe interactions, particularly their contribution to carbon sta- bilization under increasing atmospheric CO2, remains insufficiently understood. This systematic review evaluated 238 studies published between 2010 and 2025 from Scopus, Web of Science (WoS), and Google Scholar, of which 113 met the inclusion criteria related to carbon dynamics, agro-climatic conditions, and soil?microbial processes. Evidence indi- cates that conventional plowing (CP) disrupts microbial structure, habitat, and function, resulting in lower soil organic carbon (SOC) stocks and elevated CO2 emissions. Con- versely, conservation tillage promotes rhizodeposition, microbial biomass carbon (MBC) accumulation, and enhanced nitrogen (N) and phosphorus (P) availability, thereby increas- ing SOC sequestration and reducing CO2 emissions. Overall, insights from this study will enhance our understanding of beneficial microbes that enhance carbon stabilization and root exudate compounds, which trigger specifically needed nutrients in the rhizosphere.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
CO2 emissions
soil organic carbon
nutrients
plant-soil microbe interactions
tillage
Megjelenés:Agriculture. - 16 : 4 (2026), p. 1-23. -
További szerzők:Zsembeli József (1967-) (agrármérnök) Gashi Njomza (2001-) (Food Scientist) Gumisiriya, Costa (1985-) (Phd student) Juhász Csaba (1962-) (környezetgazdálkodási agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
Egyéb
Internet cím:Szerző által megadott URL
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7.

001-es BibID:BIBFORM122364
035-os BibID:(Scopus)85197174050 (WoS)001254975000001
Első szerző:Zagyi Péter (agrármérnök)
Cím:Effect of Split Basal Fertilisation and Top-Dressing on Relative Chlorophyll Content and Yield of Maize Hybrids / Péter Zagyi, Éva Horváth, Gyula Vasvári, Károly Simon, Adrienn Széles
Dátum:2024
ISSN:2077-0472
Megjegyzések:The aim of this study was to determine the nitrogen requirement of maize, the optimal timing and amount of nutrient application, based on long time series data. An additional objective was to examine the response of the relative chlorophyll content of maize to nitrogen fertilisation. The examinations were carried out in a long-term field experiment at the University of Debrecen between 2016 and 2022, using two maize hybrids with different genotypes. Spatial and temporal changes in the N status of maize leaves were monitored using the Soil and Plant Analysis Development (SPAD) instrument. In addition to the non-fertilised (A0 ) treatment, six fertiliser treatments were applied (spring basal fertilisation: 60 and 120 kg N ha?1 , A60; A120). Basal fertilisation was followed by two occasions of top-dressing at phenological stages V6 and V12, at rates of +30-30 kg N ha?1 (V690 and V6150, and V12120 and V12180). The CMR (Chlorophyll Meter Reading), averaged over the examined years, genotypes and fertiliser treatments, were lowest in the V6 phenological phase (40.23 ± 5.57, p < 0.05) and highest in R1 (49.91 ± 8.41, p < 0.05). A120 fertiliser treatment increased the relative chlorophyll content by 5.11 compared to the non-fertilised treatment, 1.67 more than A60 treatment. The basal fertilisation treatment substantially increased the yield (A60: +30.75%; A120: +66.68%) compared to the A0 treatment averaged over years and genotypes. Based on the obtained research results, a basal treatment of 120 kg N ha?1 is recommended and it can be concluded that, under appropriate water supply conditions (rainfall, irrigation), nitrogen top-dressing applied in V6 phenophase results in a significant yield increase compared to basal fertilisation.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Chlorophyll Meter Reading (CMR)
crop change
hybrid
maize
nitrogen fertiliser
Megjelenés:Agriculture-Basel. - 14 : 6 (2024), p. 1-16. -
További szerzők:Horváth Éva (1993-) (környezetgazdálkodási agrármérnök) Vasvári Gyula (1981-) (Ph.D hallgató) Simon Károly (1985-) (okleveles agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
Egyéb
BO/00068/23/4
Egyéb
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
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