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1.

001-es BibID:BIBFORM112339
Első szerző:Khatibi, Ali
Cím:Study of drought stress correlation on yield and yield components of maize cultivars (Zea mays L.) / Ali Khatibi, Saeed Omrani, Ali Omrani, Seyed Habib Shojaei, Arpad Illes, Csaba Bojtor, Seyed Mohammad Nasir Mousavi, Janos Nagy
Dátum:2023
ISSN:1587-1282
Megjegyzések:This article was investigated to study the correlation and analysis of drought stress regression on maize cultivars' yield and components. The variance analysis results showed a significant difference between drought stress levels in terms of plant height, total dry weight and number of seeds per row, the total weight of cob, grain yield, harvest index, stem diameter, and cob weight with protective leave. Also, there was a significant difference in ear weight without protective leaves, ear diameter, ear length, plant weight, 100-seed weight, and seed per ear on hybrid treatments. There were statistically significant differences between cultivars in plant height, leaf area, ear diameter, ear length, number of seeds per row, number of seeds per ear, the total weight of cob wood, 100-seed weight, harvest index, plant dry weight. The results of the correlation of traits for the mean levels of drought stress showed a positive and significant correlation between plant yield and plant height, seed per row, ear length and weight of 5 pieces of wood and also with a total weight of cob wood, ear weight with bark showed the highest correlation. There is a significant correlation between leaf area and stem diameter, plant weight, total dry weight at the probability level of 0.05. Correlation coefficients between traits in non-stress conditions showed a positive and significant correlation between grain yield and height, ear length and grain in the row, which was a significant increase compared to stress conditions. The correlation of traits under full stress conditions also showed that the correlation coefficient between cob length trait and positive height was positive and significant. From the study of correlation coefficients between maize traits in non-stress conditions, it can be concluded that the most important components of grain yield are cob length and grain per row. While the correlation coefficients under moisture stress conditions show that the grain trait in the row has a positive and significant correlation with yield, under stress conditions in the cob stage did not show any traits with correlation yield.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
maize
drought stress
correlation
regression
grain yield
Megjelenés:Agrártudományi közlemények = Acta agraria Debreceniensis. - 1 (2023), p. 67-73. -
További szerzők:Omrani, Saeed Omrani, Ali Shojaei, Seyed Habib (1980-) (agrármérnök) Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár)
Pályázati támogatás:TKP2021-NKTA-32
Egyéb
EFOP-3.6.3-VEKOP
EFOP-VEKOP
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2.

001-es BibID:BIBFORM101052
035-os BibID:(cikkazonosító)1012 (WoS)000780621400001 (Scopus)85127585992
Első szerző:Khatibi, Ali
Cím:Response of Maize Hybrids in Drought-Stress Using Drought Tolerance Indices / Ali Khatibi, Saeed Omrani, Ali Omrani, Seyed Habib Shojaei, Seyed Mohammad Nasir Mousavi, Árpád Illés, Csaba Bojtor, János Nagy
Dátum:2022
ISSN:2073-4441
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Water. - 14 : 7 (2022), p. 1-10. -
További szerzők:Omrani, Saeed Omrani, Ali Shojaei, Seyed Habib (1980-) (agrármérnök) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Nagy János (1951-) (agrármérnök, mérnök-tanár)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00008
EFOP
TKP2021-NKTA-32
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Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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3.

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
Egyéb
EFOP-3.6.3-VEKOP
Egyéb
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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4.

001-es BibID:BIBFORM101754
035-os BibID:(cikkazonosító)1130 (Wos)000801376800001 (Scopus)85130150349
Első szerző:Omrani, Ali
Cím:Evaluation of Grain Yield Stability in Some Selected Wheat Genotypes Using AMMI and GGE Biplot Methods / Ali Omrani, Saeed Omrani, Manoochehr Khodarahmi, Seyed Habib Shojaei, Árpád Illés, Csaba Bojtor, Seyed Mohammad Nasir Mousavi, János Nagy
Dátum:2022
ISSN:2073-4395
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agronomy-Basel. - 12 : 5 (2022), p. 1-14. -
További szerzők:Omrani, Saeed Khodarahmi, Manoochehr (1980-) (Agricultural Engineer) Shojaei, Seyed Habib (1980-) (agrármérnök) Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár)
Pályázati támogatás:EFOP-3.6.3-16-2017-00008
EFOP
TKP2021-NKTA-32
FIKP
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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5.

001-es BibID:BIBFORM125122
035-os BibID:(WoS)001274732300001 (Scopus)85199365967
Első szerző:Shojaei, Seyed Habib (agrármérnök)
Cím:Application of graphical analysis and principal components to identify the effect of genotype - trait in maize hybrids / Seyed Habib Shojaei, Mohammad Reza Bihamta, Seyed Mohammad Nasir Mousavi, Seyed Hamed Qasemi, Mohammad Hossein Bijeh Keshavarzi, Ali Omran
Dátum:2024
ISSN:2639-6696
Megjegyzések:In order to identify the effect of genotype - trait, 20 maize (Zea mays L.) hybrids were cultivated and investigated in a randomized complete block design in three replications in the Karaj region. The results of the analysis of variance showed that the effect of genotype in terms of all traits except for the traits of days until the tassel dries, peduncle outside the flag leaf, tassel length, the number of fill seeds, and the depth of the seeds are significantly different. Based on the mean comparison done by Duncan's method, G3, G6, G7, and G4 genotypes were identified as favorable hybrids. Based on the graphic analysis, the genotypes G5, G4, G6, G3, G9, and G14 can be identified as desirable hybrids. The correlation diagram indicated that the grain yield trait has a positive correlation with tassel length, leaf length, leaf width, and leaf surface traits. Based on the principal component analysis, the first 10 components explained more than 74% of the data variance. The traits were classified into 10 components: components of ear characteristics, time characteristics in terms of maturity, leaf characteristics, characteristics of maize plant 1 (cob corn diameter, peduncle length, and grain yield traits), characteristics of maize plant 2 (number of tassel branches, leaf surface, and grain yield traits), physiological characteristics and germination, the crown part of the ear characteristics, grain characteristics, grain yield, and characteristics of the ear head. The experiment results indicated that G8, G15, G1, and G6 hybrids were more favorable in terms of grain yield trait. ? 2024 The Author(s). Agrosystems, Geosciences & Environment published by Wiley Periodicals LLC on behalf of Crop Science Society of America and American Society of Agronomy.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agrosystems, Geosciences & Environment. - 7 : 3 (2024), p. 1-14. -
További szerzők:Bihamta, Mohammad Reza Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Qasemi, Seyed Hamed Keshavarzi, Mohammad Hossein Bijeh Omrani, Ali
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6.

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, 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
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7.

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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Internet cím:DOI
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8.

001-es BibID:BIBFORM101159
035-os BibID:(cikkazonosító)942 (WoS)000780516900001 (Scopus)85127411191
Első szerző:Shojaei, Seyed Habib (agrármérnök)
Cím:Comparison of Maize Genotypes Using Drought-Tolerance Indices and Graphical Analysis under Normal and Humidity Stress Conditions / Seyed Habib Shojaei, Khodadad Mostafavi, Ali Omrani, Árpád Illés, Csaba Bojtor, Saeed Omrani, Seyed Mohammad Nasir Mousavi, János Nagy
Dátum:2022
ISSN:2223-7747
Megjegyzések:This study aimed to identify drought-tolerant genotypes and to evaluate and compare the response of genotypes under normal conditions and humidity stress. The experiment was conducted in a Randomized Complete Block Design (RCBD) on 12 commercial single cross hybrids of maize (Zea mays L.) with three replications in two separate experiments under normal and stress conditions. GT biplot was used to compare genotypes under normal conditions and humidity stress. Based on the polygon diagrams' graphical analysis, KSC206, KSC704, KSC705 and KSC706 genotypes were identified as desirable hybrids. The ranking diagram of genotypes based on ideal genotype also showed that the KSC704 genotype had high desirability in all evaluated traits in normal and stress conditions. TOL, MP, HARM, GMP, SSI and STI indices were used to identify drought-tolerant genotypes, and the genotypes were ranked based on this index. Based on this, KSC260, SC302 and KSC400 hybrids were selected as resistant hybrids. Based on the correlation analysis between drought-tolerance indices, a positive correlation was observed between MP, GMP, HARM and STI indices. Based on the analysis of the PCA on the indices, the first and second principal components were given the titles of grain yield tolerance component under humidity stress conditions and grain yield stability component under normal humidity conditions, respectively. KSC704 was superior to other hybrids in terms of grain yield under normal conditions and stress, and the KSC260 hybrid was identified as a tolerant hybrid in terms of all studied traits under drought stress.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Plants-Basel. - 11 (2022), p. 1-15. -
További szerzők:Mostafavi, Khodadad Omrani, Ali Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Omrani, Saeed Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Nagy János (1951-) (agrármérnök, mérnök-tanár)
Pályázati támogatás:EFOP-3.6.3-16-2017-00008
EFOP
TKP2021-NKTA-32
Egyéb
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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9.

001-es BibID:BIBFORM100134
035-os BibID:(cikkazonosító)394 (WoS)000763231600001 (Scopus)85123978679
Első szerző:Shojaei, Seyed Habib (agrármérnök)
Cím:Stability on Maize Hybrids Based on GGE Biplot Graphical Technique / Seyed Habib Shojaei, Khodadad Mostafavi, Mohammad Reza Bihamta, Ali Omrani, Seyed Mohammad Nasir Mousavi, Árpád Illés, Csaba Bojtor, Janos Nagy
Dátum:2022
ISSN:2073-4395
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agronomy-Basel. - 12 (2022), p. 1-10. -
További szerzők:Mostafavi, Khodadad Bihamta, Mohammad Reza Omrani, Ali Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Nagy János (1951-) (agrármérnök, mérnök-tanár)
Pályázati támogatás:EFOP-3.6.3-16-2017-00008
EFOP
TKP2021-NKTA-32
Egyéb
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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10.

001-es BibID:BIBFORM098239
035-os BibID:(Scopus)85119190464
Első szerző:Shojaei, Seyed Habib (agrármérnök)
Cím:Evaluation of stability in maize hybrids using univariate parametric methods / Seyed Habib Shojaei, Khodadad Mostafavi, Amirparviz Lak, Ali Omrani, Saeed Omrani, Seyed Mohammad Nasir Mousavi, Árpád Illés, Csaba Bojtor, János Nagy
Dátum:2022
ISSN:1975-9479
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Journal of Crop Science and Biotechnology. - 25 (2022), p. 269-276. -
További szerzők:Mostafavi, Khodadad Amirparviz Lak (1980-) (agrármérnök) Omrani, Ali Omrani, Saeed Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Nagy János (1951-) (agrármérnök, mérnök-tanár)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00008
EFOP
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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11.

001-es BibID:BIBFORM092818
035-os BibID:(cikkazonosító)5576691
Első szerző:Shojaei, Seyed Habib (agrármérnök)
Cím:Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods / Seyed Habib Shojaei, Khodadad Mostafavi, Ali Omrani, Saeed Omrani, Seyed Mohammad Nasir Mousavi, Árpád Illés, Csaba Bojtor, János Nagy
Dátum:2021
ISSN:2090-908X
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Scientifica. - 2021 (2021), p. 1-9. -
További szerzők:Mostafavi, Khodadad Omrani, Ali Omrani, Saeed Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Nagy János (1951-) (agrármérnök, mérnök-tanár)
Pályázati támogatás:TKP2020-IKA-04
FIKP
EFOP-3.6.3-VEKOP-16-2017-00008
EFOP
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