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Evolotion Barley Genotypes in Multi-Environment Trials by Ammi Model and Gge Biplot Analysis

dc.authorid 0000-0002-3557-3840
dc.authorid Dogan, Yusuf/0000-0002-3557-3840
dc.authorwosid Kendal, Enver/J-4128-2018
dc.authorwosid Kiliç, Hasan/Abi-5180-2020
dc.authorwosid Oral, Erol/Gxp-1481-2022
dc.authorwosid Dogan, Yusuf/H-4377-2015
dc.contributor.author Oral, Erol
dc.contributor.author Kendal, Enver
dc.contributor.author Kilic, Hasan
dc.contributor.author Dogan, Yusuf
dc.contributor.author Doğan, Yusuf
dc.contributor.author Oral, Erol
dc.contributor.author Kendal, Enver
dc.contributor.other Department of Plant Protection / Bitki Koruma Bölümü
dc.contributor.other Department of Seed Production / Tohumculuk Teknolojisi Bölümü
dc.date.accessioned 2019-07-31T11:40:11Z
dc.date.available 2019-07-31T11:40:11Z
dc.date.issued 2019
dc.department Artuklu University en_US
dc.department-temp [Oral, Erol] Yuzuncu Yil Univ, Dept Field Crops, Fac Agr, Van, Turkey; [Kendal, Enver; Dogan, Yusuf] Mardin Artuklu Univ, Dept Plant & Anim Prod, Vocat Sch Kiziltepe, TR-21500 Mardin, Turkey; [Kilic, Hasan] Bingol Univ, Dept Field Crops, Fac Agr, TR-12000 Bingol, Turkey en_US
dc.description.abstract The uniformity of genotypes are significant for crop breeding program decisions to improve new varieties. The AMMI (Additive main effects and multiplicative interaction) analysis and Genotype x Environment Interaction (GEI) is make to estimation grain yield and understands GxE interaction patterns by researches as differential ranking of variety yields in multi-environment trials. Therefore, fifteen barley advanced line and six national cultivars and four foreign varieties (registered in abroad) were used in the study. The experiments were performed according to a complete randomized block design with four replications at five environments during two years. The stability and superiority of genotypes for yield and other traits were determined using AMMI and GGE biplot analysis. Factors (G, GE, and GEI) were found to be highly significant (P < 0.01) for grain yield. AMMI analysis indicated that the major contributions to treatment sum of squares were environments (98.52%), GE (0.45%) and genotypes (1.02%), respectively, suggesting that grain yield of genotypes were effected environmental conditions. The GGE biplot indicated that PCA 1 axes (Principal component) was significant as P<0.01 and supplied to 49.36% of complete GxE interaction. The AMMI indicated that G8 and G23 desirable and stabile genotypes for grain yield in multi-environment. Moreover, E2 and E5 (irrigated environments) were high yielding, while E3 (drought stress) low yielding as forecast. On the other hand, GGE biplot indicated that three group were occurred among traits, first group (GY: grain yield, CC: crude cellulose, CD: cold damage), second group (PC:, HVV: hectoliter weight, TGW: thousand grain weight, SH: seed humidity), third group (LOD: lodging, PH: plant height, HT: heading time). Moreover: the study showed that G3, G6, G7, G8, G13 and G21 were the best genotypes both grain yield and other traits. The results of AMMI model and GGE biplot indicated that G8 is suitable to recommend for release and G23 desirable origin for yield stability and G7 valuable source for quality to use in barley breeding program. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.endpage 3196 en_US
dc.identifier.issn 1018-4619
dc.identifier.issn 1610-2304
dc.identifier.issue 4A en_US
dc.identifier.scopusquality N/A
dc.identifier.startpage 3186 en_US
dc.identifier.volume 28 en_US
dc.identifier.wos WOS:000467668200024
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Parlar Scientific Publications (p S P) 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 Barley en_US
dc.subject Gei en_US
dc.subject Ammi en_US
dc.subject Gge Biplot en_US
dc.subject Grain Yield en_US
dc.subject Stability en_US
dc.title Evolotion Barley Genotypes in Multi-Environment Trials by Ammi Model and Gge Biplot Analysis en_US
dc.type Article en_US
dc.wos.citedbyCount 4
dspace.entity.type Publication
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relation.isAuthorOfPublication c0098ea3-c5e9-4285-b656-6c5f26cc234b
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