Introduction Statistical analysis of the data on the Earth's surface was a favorite subject among many researchers. Such data can be related to animal's migration from a region to another position. Then, statistical modeling of their paths helps biological researchers to predict their movements and estimate the areas that are most likely to constitute the presence of the animals. From a geome...

One of the most important challenges for plant breeding has always been genotype × environment interaction. In present study, genotype × environment interaction was invesitigated for 13 winter oilseed rape genotypes in six cold and temperate cold locations in Iran using non- parametric statistical methods during 2014-2017 growing seasons. Four methods; Hildebrand, Bredenkamp, Kubinger, and De K...

Analysis of genotype by environment interaction using different statistical methods is very important in plant breeding. In order to evaluate the seed yield stability of promising sesame lines using different parametric and non-parametric statistics, an experiment was conducted using 13 promising sesame lines with check variety Oltan at three locations of Karaj, Mashhad, and Moghan (Iran) in a ...