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

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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