ASSESSMENT OF BREAD WHEAT GENOTYPES (Triticum aestivum L.) WITH GGE BIPLOT AND AMMI MODEL IN MULTIPLE ENVIRONMENTS
| dc.contributor.author | Karaman, Mehmet | |
| dc.contributor.author | Bayram, Sinan | |
| dc.contributor.author | Satana, Evrim | |
| dc.date.accessioned | 2023-11-10T21:10:10Z | |
| dc.date.available | 2023-11-10T21:10:10Z | |
| dc.date.issued | 2023 | |
| dc.department | MAÜN | en_US |
| dc.description.abstract | Wheat is one of the products with the widest cultivation area and adaptation ability in the world. Although the heritability of the variety is important in grain yield, the environment and genotype x environment interaction is significantly effective. This study was carried out in 6 different environments. According to the Additive Main Effect and Multiplication Interaction (AMMI) model; genotype, environment and genotype x environment interaction were found to be effective on grain yield, respectively, by 9.40%, 56.79% and 16.28%. It has been determined that, there is a positive relationship between grain yield and the number of spike per square meter and the number of grain in each spike. In the study, 3 mega environments were formed. G19 in the first mega environment, G13 in the second mega environment and G21, G22 in the third mega environment came to the fore. G9, G13 and G19 were seen as hopeful lines in the grain yield. Also, E5 was the ideal environment and, G19 had the highest adaptability and grain yield. It has been concluded that G19 may be a candidate for variety because genotypes that are stable in different environmental conditions are preferred by the producers. | en_US |
| dc.description.sponsorship | GAP International Agricultural Research and Training Center | en_US |
| dc.description.sponsorship | I would like to thanks the employees of the cool climate cereals unit and the management of the GAP International Agricultural Research and Training Center for their support in this study. | en_US |
| dc.identifier.endpage | 198 | en_US |
| dc.identifier.issn | 1222-4227 | |
| dc.identifier.scopus | 2-s2.0-85161050944 | |
| dc.identifier.scopusquality | Q4 | |
| dc.identifier.startpage | 189 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12639/5450 | |
| dc.identifier.volume | 40 | en_US |
| dc.identifier.wos | WOS:001012854500018 | |
| dc.identifier.wosquality | Q3 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Natl Agricultural Research & Development Inst | en_US |
| dc.relation.ispartof | Romanian Agricultural Research | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Ammi | en_US |
| dc.subject | Breeding | en_US |
| dc.subject | Gei | en_US |
| dc.subject | Wheat | en_US |
| dc.subject | Yield Component | en_US |
| dc.subject | Trial Data | en_US |
| dc.subject | Barley | en_US |
| dc.subject | Yield | en_US |
| dc.title | ASSESSMENT OF BREAD WHEAT GENOTYPES (Triticum aestivum L.) WITH GGE BIPLOT AND AMMI MODEL IN MULTIPLE ENVIRONMENTS | en_US |
| dc.type | Article |
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