ASSESSMENT OF THE IMPACT OF ECOLOGICAL FACTORS ON YIELD AND QUALITY PARAMETERS IN TRITICALE USING GGE BIPLOT AND AMMI ANALYSIS

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dc.authorid0000-0002-8812-8847en_US
dc.authorid0000-0001-6943-2109en_US
dc.authorscopusid36665798700en_US
dc.authorwosidABA-7273-2020en_US
dc.contributor.authorKendal, Enver
dc.contributor.authorSayar, Mehmet Salih
dc.contributor.authorTekdal, Sertaç
dc.contributor.authorAktaş , Hüsnü
dc.contributor.authorKaraman, Mehmet
dc.date.accessioned2024-01-19T11:37:51Z
dc.date.available2024-01-19T11:37:51Z
dc.date.issued2016en_US
dc.departmentMAÜ, Meslek Yüksekokulları, Kızıltepe Meslek Yüksekokulu, Tohumculuk Bölümüen_US
dc.description.abstractWe examined the effects of late spring frost on grain yield (GY) and quality of spring triticale ( × Triticosecale) genotypes, based on genotype plus genotype × environment interaction (GGE) biplot analysis. The study included a total of 25 genotypes, including 20 advanced lines, 3 triticale varieties, and 2 candidate lines. The genotypes were evaluated for GY and quality traits during the 2012/2013 (normal season) and 2013/2014 (late spring frost) seasons. We observed significant differences between seasons for GY and quality traits, as affected by changing environmental conditions over the two seasons. Late spring frost caused a statis tically significant 50% reduction in GY, 7.1% reduction in test weight (TW), and 26.1% reduction in thousand grain weight (TGW); however, it positively affected protein content (PC), and it increased by 42.6%. We observed that early heading genotypes were differently affected by late spring frost, compared to late maturing genotypes, in terms of GY, TW, and TGW. The GGE biplot analysis highlighted three and four distinct groups of traits in the 2012/2013 and 2013/2014 growing seasons, respectively. Results from the GGE biplot analysis revealed that G12 and G16 were stable and ideal genotypes for all of the traits in the 2012/2013 season, and G10 and G23 were stable and ideal for the 2013/2014 season. In addition, G10 was the best genotype averaged over the t wo growing seasons. The genotypes G9, G13, and G17 were more stable and higher yielding, based on Additive Main Effect and Multiplicative Interaction (AMMI) analysis, compared to the remaining genotypes.en_US
dc.identifier.endpage1913en_US
dc.identifier.issn2070-3368
dc.identifier.issue5en_US
dc.identifier.startpage1903en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12514/5718
dc.identifier.volume48en_US
dc.identifier.wosqualityQ4en_US
dc.institutionauthorKendal, Enver
dc.institutionauthorAktaş, Hüsnü
dc.language.isoenen_US
dc.publisherPakistan Journal of Botanyen_US
dc.relation.ispartofPakistan Journal of Botanyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGenotype × environnent interactionsen_US
dc.subjectTest weighten_US
dc.subjectProtein contenten_US
dc.subjectAMMI analysisen_US
dc.titleASSESSMENT OF THE IMPACT OF ECOLOGICAL FACTORS ON YIELD AND QUALITY PARAMETERS IN TRITICALE USING GGE BIPLOT AND AMMI ANALYSISen_US
dc.typeArticleen_US

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