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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
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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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 DOI
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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 Egyéb
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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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 DOI Szerző által megadott URL
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