Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II

Genetic Analysis and Heterosis for Viscosity Parameters in Rice (Oryza sativa L.) through North Carolina III Mating Design

This study was conducted to evaluate the gene effects, heritability, heterosis and identification of appropriate breeding methods for improving rice viscosity parameters, during 2014-2016 at Rice Research Institute of Iran. The progeny obtained from the North Carolina III mating design with their parents were planted in a randomized complete block design with three replications. Analysis of var...

Univariate and multivariate Pareto models

The Pareto distribution has long been recognized as a suitable model for many non-negative socio-economic variables. Univariate and multivariate variations abound. Some unification is possible by representing the Pareto variables in terms of independent gamma distributed components. Further unification is sometimes possible since some of the frequently used multivariate Pareto models share the ...

Recent Advances in Univariate and Multivariate Models

Assessment of Yield Stability in Common Bean Cultivars Based on Univariate and Multivariate Methods

Stability and adaptability of ten common bean cultivars were studied in water stressed and normal conditions, three planting dates (including 5 May, 20 May and 5 June), and two years (2014 and 2016) in Shahrekord, Iran. Combined analysis of variance for yield indicated that the effect of genotype by environment interaction was significant; therefore, more accurate statistical analyses were requ...

Predicting Flow Number of Asphalt Mixtures Based on the Marshall Mix design Parameters Using Multivariate Adaptive Regression Spline (MARS)

Rutting is one of the major distresses in the flexible pavements, which is heavily influenced by the asphalt mixtures properties at high temperatures. There are several methods for the characterization of the rutting resistance of asphalt mixtures. Flow number is one of the most important parameters that can be used for the evaluation of rutting. The flow number is measured by the dynamic creep...