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Quantile function modeling with application to salinity tolerance analysis of plant data

In plant science, the study of salinity tolerance is crucial to improving plant growth and productivity under saline conditions. Since quantile regression is a more robust, comprehensive and flexible method of statistical analysis than the commonly used mean regression methods, we applied a set of quantile analysis methods to barley field data. | Quantile function modeling with application to salinity tolerance analysis of plant data