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1.

001-es BibID:BIBFORM108706
Első szerző:Abakeer, Rania Alrasheed
Cím:The impact of soil amendments on sweet maize (Zea mays L. var. saccharata) agronomic characteristics and yield / Rania, Alrasheed Abakeer ; Ocwa, Akasairi ; Seyed Mohammad Nasir Mousavi ; Attila Vad ; Nagy Janos
Dátum:2022
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
NPK
Soil fertility
sweet maize
Megjelenés:Leveraging on Research and Innovation for Sustainable Development. Conference Proceedings of the 2nd Postgraduate Students Conference (virtual) / eds. Emmy Kerich, Samuel Lutta, Boniface Alkamoi. - p. 53.
További szerzők:Ocwa, Akasairi (1987-) (Crop scientist) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Vad Attila (1981-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár)
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2.

001-es BibID:BIBFORM109592
035-os BibID:(Scopus)85150316055
Első szerző:Mousavi, Seyed Mohammad Nasir (agrármérnök)
Cím:Stability yield indices on different sweet corn hybrids based on AMMI analysis = Índices de estabilidade de rendimento em diferentes híbridos de milho-doce com base na análise AMMI / S. M. N. Mousavi, A. Illés, A. Szabó, S. H. Shojaei, C. Demeter, Z. Bakos, A. Vad, A. Széles, J. Nagy, C. Bojtor
Dátum:2024
ISSN:1519-6984 1678-4375
Megjegyzések:Currently, sweet corn is considered an important crop due to its high sugar content and low starch content. Important sugars in sweet corn include sucrose, fructose, glucose, and maltose. The purpose of the present study was to use the yield indices of the eight examined sweet corn hybrids and the correlation of the yield indices together. Concentration is important for consumers in terms of yield indices. The research site was located at the Látókép Experimental Station of the University of Debrecen. The small plot experiment had a strip plot design with four replications. The previous crop was sweet corn; the plant density was 64 thousand/ha. The obtained result indicates that Biplot AMMI based on IPCA1 showed that the DB, NO, GS, and GB hybrids had stability and high performance in terms of yield indices. At the same time, fructose and glucose had stable parameters for the hybrids involved in the study. IPCA1 AMMI biplot showed that the ME hybrid had stability and high performance in terms of iron and zinc as well. IPCA2 AMMI biplot showed that DE, GB, and GS hybrids had stability and the highest performance on yield parameters in the scope of the research. Fructose, glucose, and sucrose had stable parameters on hybrids based on IPCA2. The DB and SE hybrids had desirable performance in Lutein and Zeaxanthin based on the biplot. The DE hybrid had a maximum performance on iron and zinc parameters.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
zeaxanthin
AMMI analysis
cluster analysis
yield indices
Megjelenés:Brazilian Journal of Biology. - 84 (2024), p. 1-8. -
További szerzők:Illés Árpád (1994-) (növényorvos) Szabó Atala (1995-) (növénytermesztő mérnök) Shojaei, Seyed Habib (1980-) (agrármérnök) Demeter Cintia (1992-) (agrármérnök, növénytermesztő) Bakos Zsuzsanna (1982-) Vad Attila (1981-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár) Bojtor Csaba (1993-) (okleveles növényorvos)
Pályázati támogatás:TKP2021-NKTA-32
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3.

001-es BibID:BIBFORM103790
035-os BibID:(Scopus)85137794673
Első szerző:Mousavi, Seyed Mohammad Nasir (agrármérnök)
Cím:Quantitative and qualitative yield in sweet maize hybrids / S. M. N. Mousavi, A. Illés, C. Bojtor, C. Demeter, B. Zsuzsanna, A. Vad, R. A. Abakeer, H. M. I. Sidahmed, J. Nagy
Dátum:2024
ISSN:1519-6984 1678-4375
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Brazilian Journal of Biology. - 84 (2024), p. 1-9. -
További szerzők:Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Demeter Cintia (1992-) (agrármérnök, növénytermesztő) Bakos Zsuzsanna (1982-) Vad Attila (1981-) (agrármérnök) Abakeer, Rania Alrasheed Sidahmed, Hajer Mohamed Ibrahim (1979-) (Crop scientist) Nagy János (1951-) (agrármérnök, mérnök-tanár)
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4.

001-es BibID:BIBFORM088055
Első szerző:Mousavi, Seyed Mohammad Nasir (agrármérnök)
Cím:Interaction between genotype in traits on FAO 340 hybrids based on GGE bi plot analysis / Seyed Mohammad Nasir Mousavi, Karamchand Bramdeo, Károly Kith, Attila Vad, János Nagy
Dátum:2020
ISBN:978-963-269-896-0
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:19th Alps-Adria Scientific Workshop : Abstract book / ed. Zoltán Kende. - p. 24. -
További szerzők:Bramdeo, Karamchand (1965-) Kith Károly (1986-) (környezetkutató, ökológus) Vad Attila (1981-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár)
Pályázati támogatás:NKFIH-1150-6/2019
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5.

001-es BibID:BIBFORM112188
035-os BibID:(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, Vad Attila, 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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6.

001-es BibID:BIBFORM111783
035-os BibID:(Scopus)85161110566
Első szerző:Shojaei, Seyed Habib (agrármérnök)
Cím:Selection of maize hybrids based on genotype x yield x trait (GYT) in different environments = Seleção de híbridos de milho com base no genótipo x rendimento x característica (GYT) em diferentes ambientes / S. H. Shojaei, K. Mostafavi, M. Bihamta, A. Omrani, C. Bojtor, A. Illes, A. Szabo, A. Vad, J. Nagy, E. Harsányi, S. M. N. Mousavi
Dátum:2024
ISSN:1519-6984 1678-4375
Megjegyzések:This study aimed to identify the best genotypes using the genotype x yield x trait (GYT) method. To investigate the relationships was performed between yield x traits in four regions of Karaj, Birjand, Shiraz and Arak in two cropping years in a randomized complete block design (RCBD) with three replications. The average grain yield in four regions and two years of the experiment was calculated as 5966 kg/ha, and GYT was obtained based on the multiplication of grain yield with different traits. Comparing the average effect of genotype x year in different environments showed that KSC703 and KSC707 hybrids are among the most productive hybrids among the studied genotypes in grain yield. By examining the correlation coefficients between yield x traits in the tested areas, Y x TWG with Y x GW, Y x NRE, Y x NGR and Y x EL, Y x ED with Y x NGR, Y x NRE with Y x GW and the combination of Y x GW with Y x GL had a positive and significant correlation in all regions. The correlation diagrams were drawn on the evaluated areas` data and showed the correlation of most compounds except Y x GT with each other. Based on the analysis of the main components, the first three components explained the greatest diversity in the population. They were named the component ear grain profile, grain thickness component and plant height profile component.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
maize
combined analysis
GYT
correlation
cluster analysis
Megjelenés:Brazilian Journal of Biology. - 84 (2024) 1-17. -
További szerzők:Mostafavi, Khodadad Bihamta, Mohammad Reza Omrani, Ali Bojtor Csaba (1993-) (okleveles növényorvos) Illés Árpád (1994-) (növényorvos) Szabó Atala (1995-) (növénytermesztő mérnök) Vad Attila (1981-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár) Harsányi Endre (1976-) (agrármérnök) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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7.

001-es BibID:BIBFORM132929
Első szerző:Sidahmed, Hajer Mohamed Ibrahim (Crop scientist)
Cím:Climate Change and Sweet Corn Production : risks, Adaptation Strategies, and Research Needs / Hajer Sidahmed, Attila Vad, Adrienn Széles, Ali ALmahi, Rayan Ahmed, Sumia Elbokhary, János Nagy
Dátum:2025
Megjegyzések:Climate change poses significant challenges to global agricultural systems, including the cultivation of sweet corn (Zea mays L. saccharata), a high-value crop sensitive to environmental fluctuations. Rising temperatures, erratic rainfall patterns, increased frequency of extreme weather events, and shifting pest and disease dynamics threaten both yield stability and crop quality. This review synthesizes current knowledge on the direct and indirect impacts of climate change on sweet corn production, focusing on physiological responses, phenological alterations, and stress-induced yield penalties. It aims to assess how climate-related stressors influence plant growth and productivity, while also evaluating adaptive agronomic practices such as optimized sowing dates, precision irrigation, and integrated nutrient management that can mitigate these effects. Additionally, the review examines breeding and biotechnological strategies, ranging from conventional methods to molecular tools and genomic selection, for developing climate-resilient sweet corn hybrids. The integration of digital agriculture technologies, including remote sensing and decision support systems, is also explored as a means to improve real-time farm management and enhance adaptive capacity. By highlighting critical research gaps in areas such as genotype x environment interactions, multi-stress tolerance breeding, and the formulation of region-specific mitigation frameworks, this review emphasizes the importance of innovative, science-based approaches to safeguard sweet corn production and support global food and nutritional security under future climate conditions.
ISBN:978-81-992763-7-6
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Megjelenés:"Sustainable agriculture and environmental innovation for a greener future". - p. 37. -
További szerzők:Vad Attila (1981-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) ALmahi, Ali Ahmed, Rayan Elbokhary, Sumia Nagy János (1951-) (agrármérnök, mérnök-tanár)
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8.

001-es BibID:BIBFORM131391
035-os BibID:(Scopus)105006409323 (WoS)001495871000001
Első szerző:Sidahmed, Hajer Mohamed Ibrahim (Crop scientist)
Cím:Advances in Sweet Corn (Zea mays L. saccharata) Research from 2010 to 2025 : genetics, Agronomy, and Sustainable Production / Hajer Sidahmed, Attila Vad, Janos Nagy
Dátum:2025
Megjegyzések:Sweet corn (Zea mays L. saccharata) has emerged as a valuable crop not only for its economic potential but also for its role in sustainable food systems due to its high consumer demand and adaptability. As global agricultural systems face increasing pressure from climate change, resource scarcity, and nutritional challenges, a strategic synthesis of research is essential to guide future innovation. This review aims to critically assess and synthesize major advancements in sweet corn (Zea mays L. saccharata) research from 2010 to 2025, with the objectives of identifying key genetic improvements, evaluating agronomic innovations, and examining sustainable production strategies that collectively enhance crop performance and resilience. The analysis is structured around three core pillars: genetic improvement, agronomic optimization, and sustainable agriculture, each contributing uniquely to the enhancement of sweet corn productivity and environmental adaptability. In the genetics domain, recent breakthroughs such as CRISPR-Cas9 genome editing and marker-assisted selection have accelerated the development of climate-resilient hybrids with enhanced sweetness, pest resistance, and nutrient content. The growing emphasis on biofortification aims to improve the nutritional quality of sweet corn, aligning with global food security goals. Additionally, studies on genotype?environment interaction have provided deeper insights into varietal adaptability under varying climatic and soil conditions, guiding breeders toward more location-specific hybrid development. From an agronomic perspective, innovations in precision irrigation and refined planting configurations have significantly enhanced water use efficiency, especially in arid and semi-arid regions. Research on plant density, nutrient management, and crop rotation has further contributed to yield stability and system resilience. These agronomic practices, when tailored to specific genotypes and environments, ensure sustainable intensification without compromising resource conservation. On the sustainability front, strategies such as reduced-input systems, organic nutrient integration, and climate-resilient hybrids have gained momentum. The adoption of integrated pest management and conservation tillage further promotes sustainable cultivation, reducing the environmental footprint of sweet corn production. By integrating insights from these three dimensions, this review provides a comprehensive roadmap for the future of sweet corn research, merging genetic innovation, agronomic efficiency, and ecological responsibility to achieve resilient and sustainable production systems.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
sweet corn
environmental interaction
sustainability
genotype
agronomic practices
biofortification
Megjelenés:Agronomy-Basel. - 15 : 5 (2025), p. 1-51. -
További szerzők:Vad Attila (1981-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár)
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9.

001-es BibID:BIBFORM130112
Első szerző:Sidahmed, Hajer Mohamed Ibrahim (Crop scientist)
Cím:Impact of Sowing Dates on the Performance of Sweet Corn Hybrids (Zea mays L. Saccharata). / Hajer Sidahmed; Árpád Illes; Csaba Bojtor; Attila Vad; Adrienn Széles; Manahil Mohammed; János Nagy
Dátum:2025
Megjegyzések:This study, conducted at the Látókép Experimental Station of the University of Debrecen during the 2023 growing season, assessed the performance of 32 sweet corn hybrids under two sowing dates using a randomized complete block design. Key traits evaluated included plant height, yield, dry matter content, and ear characteristics. The highest plant heights were observed in HMC305 (242 cm) for the first sowing date and Impress (251 cm) for the second. Yield performance differed across hybrids, with HMC302 producing the highest yield (29,300 kg/ha) in the first sowing and Messenger (22,300 kg/ha) leading in the second. The dry matter per cob increased from 31.54 g in the first sowing to 34.99 g in the second, suggesting enhanced nutrient accumulation with later planting. The highest number of cobs per plot was recorded in SVSK4540 (89) for the second sowing and HMC302 (114) for the first. Grain yield showed variation, with ZHY5022OD achieving the highest in the first sowing (2.0) and SVSK2949 leading in the second (2.02). Ear length ranged widely among hybrids, with ZHY5022OD (22.6 cm) and ZHY5233OD (23.15 cm) displaying the longest ears in the first and second sowing dates, respectively. The study also revealed that delayed sowing could enhance cob dry matter, contributing to better crop quality. Moreover, hybrids demonstrated diverse adaptability to different planting windows, underscoring the need for targeted hybrid selection. These results emphasize the substantial influence of sowing date on hybrid performance. The study highlights the importance of selecting suitable hybrids for specific sowing windows to optimize sweet corn yield and quality. This research contributes valuable insights for developing agronomic strategies to enhance productivity and sustainability in sweet corn cultivation, offering practical guidance for growers and agronomists.
ISBN:978-963-688-044-6
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Sowing dates
Hybrids
Sweet corn
Yield.
Megjelenés:22nd Wellmann International Scientific Conference : Book of abstracts / eds. Dávid Köteles; Flórián Kovács; Ingrid Melinda Gyalai; László Beier; Szilárd Czóbel. - p. 36. -
További szerzők:Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Vad Attila (1981-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) Mohammed, Manahil Nagy János (1951-) (agrármérnök, mérnök-tanár)
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10.

001-es BibID:BIBFORM125974
Első szerző:Sidahmed, Hajer Mohamed Ibrahim (Crop scientist)
Cím:Effect of varying levels of Nitrogen Fertilizer on yield traits of different sweet corn hybrids (Zea mays convar. Saccharata Koern) / Hajer Sidahmed, Árpád Illes, Csaba Bojtor, Attila Vad, Adrienn Széles, János Nagy
Dátum:2024
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok nem besorolt
egyéb
További szerzők:Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Vad Attila (1981-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár)
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11.

001-es BibID:BIBFORM124806
Első szerző:Sidahmed, Hajer Mohamed Ibrahim (Crop scientist)
Cím:Estimation Of Yield Potential of Five Sweet Corn Hybrids (Zea mays L. Saccharates) / Hajer Sidahmed, Árpád Illes, Csaba Bojtor, Attila Vad, Adrienn Széles, Ali ALmahi, János Nagy
Dátum:2024
Megjegyzések:A wide range of variability among maize hybrids can be exploited in the improvement of the crop. Crop yield and resource use efficiency depend on successful plant establishment in the field. The application of good agricultural practices leads to higher yields and improved yield quality. Environmental factors, especially temperature, are the key agents that influence plant growth and development. Environmental factors, especially temperature during seed development and maturation, might have affected yield and components. The experiments were carried out at the Látókép Experimental Station of the University of Debrecen (47?83·30 N, 21?82·60 E, 111 m asl) during the growing season of 2023. The sweet maize experiment was conducted in a randomized complete block design with four replications to estimate the yield potential of Five hybrids of sweet corn. Based on the results the analysis revealed that the hybrid dessert 78 registered the highest means in yield 23233.33kg/h However the hybrid Azlan scored the smallest means in yield 9850 kg/h. Based on the results between means the highest mean of plant height (cm) by Gss6924 was 277.75 whereas the smallest mean was detected by the spirit (205.55). however, the results revealed that the highest means of Emergence% was obtained by Azlan and Gss6924 (86.31) while the smallest means scored by (dessert 78 )73.1325. moreover, the results showed the highest means on dry matter (g) registered by the spirit (38.55) therefore the lowest means achieved by Im- press and (dessert 78 )23.4.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
Sweet corn
Hybrids
potential
Yield
Growth
Megjelenés:Proceeding of 3rd International Institute for Technology Education and Research. - p. 28-29
További szerzők:Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Vad Attila (1981-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) ALmahi, Ali Nagy János (1951-) (agrármérnök, mérnök-tanár)
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12.

001-es BibID:BIBFORM120617
Első szerző:Sidahmed, Hajer Mohamed Ibrahim (Crop scientist)
Cím:Effect of different sowing dates on yield of four hybrids of sweet corn (Zea mays L.) saccharates / Hajer Sidahmed, Árpád Illés, Attila Vad, János Nagy
Dátum:2024
ISBN:978-963-306-980-6
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok előadáskivonat
könyvrészlet
sowing date
sweet corn
hybrids
yield
Megjelenés:21st Wellmann International Scientific Conference Book of abstracts / felelős kiadó Edit Mikó, szerk. Ingrid Melinda Gyalai, Szilárd Czóbel. - p. 30. -
További szerzők:Illés Árpád (1994-) (növényorvos) Vad Attila (1981-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár)
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