Identification of superior genotypes of Rapeseed by GTBiplot and GGEBiplot methodology in normal and stressed conditions

Document Type : Research Paper


Assistant of Professor, Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Birjand, Iran


The objective of this study was to investigate the stability of rapeseed genotypes using GTBiplot and GGEBiplot in two normal and stress conditions. The experiment was conducted in a randomized complete block design with three replications and ten treatments in the research field of Birjand University in 2012-2013. The GTBiplot explained %59.31, %62.33 and %62.01 of total variation of the standard data in normal, stress, and both, respectively. The most of variation was explained by GTBiplot caused by seed and biological yield, number of seeds per pod and number of pods per main branch in normal environment. The most of variation was explained by GTBiplot caused by seed yield, harvest index, pod length, number of auxiliary branches and number of pods per plant in stress condition.  The most of variation was explained by GTBiplot caused by seed yield, pod length, number of pods per auxiliary branch and the total of pods per plant in normal and stress conditions. According to GTBiplot polygon it was revealed that the Hay-308 genotype in view of day to 50% flowering, biological yield, number of auxiliary branches, number of pods per auxiliary branch and number of pods per plant was the best genotypes in normal and stress conditions.  Licord and Zarfam genotypes had the most of 1000-seed weight. Hay-401 genotype had the most of pod length. Genotypes comparison using Biplot cleared that the Hay-308 had the highest yield. The Hay-401, SLM046, Sarigol and opera genotypes had the lowest yield. The other genotypes had high yield.


Main Subjects

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