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001-es BibID:	BIBFORM111783
035-os BibID:	(cikkazonosító)e272093 (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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