MAÜ GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

AMMI Model to Assess Durum Wheat Genotypes in Multi-Environment Trials

dc.authorid0000-0002-8812-8847
dc.contributor.authorTekdal, S
dc.contributor.authorKendal, E.
dc.date.accessioned2021-09-21T10:01:04Z
dc.date.available2021-09-21T10:01:04Z
dc.date.issued2018
dc.departmentMAÜ, Meslek Yüksekokulları, Kızıltepe Meslek Yüksekokulu, Bitkisel ve Hayvansal Üretim Bölümüen_US
dc.description.abstractThe goal of this research was to assess the stability and yield performance of 150 durum wheat genotypes in multi-environment trials in two locations (Diyarbakir and Kiziltepe), in 2011-2012, and 2012-2013 growing seasons. The trials were designed by Lattice Experimental Design with two replications (incomplete block design). The AMMI (Additive Main Effects and Multiplicative Interaction) and GEI (GenotypexEnvironment Interaction) analysis were used in the study to estimate GEI effects on grain yield, because of plant breeders' great interest in these models for breeding programs. AMMI evaluation indicated that genotypes made the most important contributions to treatments Sum of Squares (59.8%), environments (3.5%), and GEI (36.7%), respectively, suggesting that grain yield had been affected by environment. IPCA 1 and IPCA 2 axes (Principal Component) were significant as P< 0.01 and explained 63.8 and 36.2%, respectively. Results showed that Kiziltepe 2013 was more stable and high yielding, meanwhile Diyarbakir 2012 and Diyarbakir 2013 environments were unstable and low yielding. According to stability variance, usually the province lines were more productive and stable than some old cultivars and many landraces/genotypes. Moreover, genotype G24 was more effective in all environments. The GEI model according to AMMI analysis suggested that this genotype can be considered as a candidate, due to extensive adaptability and high performances in all environments.en_US
dc.identifier.endpage166en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85041364212
dc.identifier.startpage153en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12514/2857
dc.identifier.volume20en_US
dc.identifier.wosWOS:000424077400014
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherJOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGYen_US
dc.relation.ispartofJOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAMMI; GGE biplot; Rain fed wheat; Stabilityen_US
dc.titleAMMI Model to Assess Durum Wheat Genotypes in Multi-Environment Trialsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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