Response and yield stability of canola (Brassica napus L.) genotypes to multi-environments using GGE biplot analysis

Estabilidad de rendimiento de genotipos de canola (Brassica napus L.) a multi-ambientes usando el análisis biplot GGE

dc.creatorSincik, Mehmet
dc.creatorGoksoy, Abdurrahim T.
dc.creatorSenyigit, Emre
dc.creatorUlusoy, Yahya
dc.creatorAcar, Mustafa
dc.creatorGizlenci, Sahin
dc.creatorAtagun, Gulhan
dc.creatorSuzer, Sami
dc.date2021-04-29
dc.date.accessioned2022-11-14T20:16:58Z
dc.date.available2022-11-14T20:16:58Z
dc.identifierhttps://revistas.uclave.org/index.php/bioagro/article/view/3195
dc.identifier10.51372/bioagro332.4
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5188104
dc.descriptionhe GxE interaction (GEI) provides essential information for selecting and recommending cultivars in multi-environment trials. This study aimed to evaluate genotype (G) and environment (E) main effects and GxE interaction of 15 canola genotypes (10 canola lines and 5 check varieties) over 8 environments and to examine the existence of different mega environments. Canola yield performances were evaluated during 2015/16 and 2016/17 production season in three different locations (Southern Marmara, Thrace side of Marmara, and Black Sea regions) of Turkey. The trial in each location was arranged in a randomized complete block design with four replications. The seed yield data were analyzed using GGE biplot and the yield components data were analyzed using ANOVA. The agronomical traits revealed that environments, genotypes, and GEI were significant at 1 % probability for all of the characters. The variance analysis exhibited that genotypes, environments, and GEI explained 21.6, 21.7, and 25.7 % of the total sum of squares for seed yield, respectively. The GGE biplot analysis showed that the first and second principal components explained 57.3 and 18.3 % of the total variation in the data matrix, respectively. GGE biplot analysis showed that the polygon view of a biplot is an excellent way to visualize the interactions between genotypes and environments.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad Centroccidental Lisandro Alvaradoen-US
dc.relationhttps://revistas.uclave.org/index.php/bioagro/article/view/3195/1976
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0es-ES
dc.sourceBioagro; Vol. 33 No. 2 (2021): Mayo-Agosto; 105-114en-US
dc.sourceBioagro; Vol. 33 Núm. 2 (2021): Mayo-Agosto; 105-114es-ES
dc.source2521-9693
dc.source1316-3361
dc.titleResponse and yield stability of canola (Brassica napus L.) genotypes to multi-environments using GGE biplot analysisen-US
dc.titleEstabilidad de rendimiento de genotipos de canola (Brassica napus L.) a multi-ambientes usando el análisis biplot GGEes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArticlesen-US
dc.typeArtículoses-ES


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