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Stability analysis of some soybean genotypes using parametric and non parametric methods in multi-environments

dc.contributor.authorCubukco, Pinar
dc.contributor.authorKocaturk, Mehmet
dc.contributor.authorIlker, Emre
dc.contributor.authorKadiroglu, Abdullah
dc.contributor.authorVurarak, Yasemin
dc.contributor.authorSahin, Yesim
dc.contributor.authorKarakus, Mehmet
dc.contributor.authorYildirim, Umran Akgun
dc.contributor.authorSincik, Mehmet
dc.contributor.buuauthorGoksoy, Abdurrahim Tanju
dc.contributor.buuauthorGÖKSOY, ABDURRAHİM TANJU
dc.contributor.departmentZiraat Fakültesi
dc.contributor.orcid0000-0002-0012-4412
dc.contributor.researcheridAAH-1811-2021
dc.contributor.researcheridJCO-4159-2023
dc.contributor.researcheridA-3491-2012
dc.date.accessioned2024-06-24T10:58:09Z
dc.date.available2024-06-24T10:58:09Z
dc.date.issued2021-01-01
dc.description.abstractSeed yields of 14 soybean genotypes were evaluated in four locations i.e. Adana, Sanhurfa, Antalya and Izmir under second crop conditions through summer seasons from 2014 to 2016. The study aims to estimate the stability parameters in terms of seed yield of 14 soybean genotypes by using different stability analysis methods across eleven environmental conditions and to study interrelationships among these stability methods. The analysis of variance for seed yield revealed that the genotypes and the environments as well as the genotype x environment interactions (GEI) were statistically significant at P<0.01. Environmental effects were contributed 51.04% to the total sum of squares whereas GEI and genotype effects were 20.8% and 2.59%, respectively. According to most stability methods, BATEM 223, BATEM 306, BATEM 317 and KASM 02 were determined to be stable genotypes. These genotypes demonstrated superior adaptability with high yield performances in many environments. Results of correlation analysis indicated that seed yield was positively and significantly correlated with Di(2) (P<0.01), Si-(6) (P<0.05) and TOP (P<0.01) and showed a negative and significant correlation with Pi (P<0.01) and RS (P<0.01). In addition, the coefficient of regression (bi) was positively significant associated with CVi, alpha i (P<0.01) and Ri(2) (P<0.05).
dc.identifier.endpage271
dc.identifier.issn1301-1111
dc.identifier.issue2
dc.identifier.startpage262
dc.identifier.urihttps://hdl.handle.net/11452/42280
dc.identifier.volume26
dc.identifier.wos000733963600002
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherSoc Field Crop Sci
dc.relation.journalTurkish Journal Of Field Crops
dc.relation.tubitak113O082
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectYield stability
dc.subjectAdaptability
dc.subjectCultivars
dc.subjectAmmi
dc.subjectAdaptation
dc.subjectGlycine max
dc.subjectGenotype x environment interaction
dc.subjectStability
dc.subjectYield
dc.subjectScience & technology
dc.subjectLife sciences & biomedicine
dc.subjectAgronomy
dc.subjectAgriculture
dc.titleStability analysis of some soybean genotypes using parametric and non parametric methods in multi-environments
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentZiraat Fakültesi
relation.isAuthorOfPublicationb8df27e7-199c-4626-99ea-5850ed66c28c
relation.isAuthorOfPublication.latestForDiscoveryb8df27e7-199c-4626-99ea-5850ed66c28c

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