biometrical models

Metan: an r package for multi‐environment trial analysis

Multi-environment trials (MET) are crucial steps in plant breeding programs that aim at increasing crop productivity to ensure global food security. The analysis of MET data requires the combination of several approaches including data manipulation, …

Repeatability coefficients and number of measurements for evaluating traits in strawberry

The objective of this study was to estimate the coefficient of repeatability and the number of measurements required for production and quality variables in a strawberry crop. An experiment was conducted with two strawberry cultivars from two origins …

Estimates of genetic parameters between and within black oat populations

The aims of this study were to characterize black oat populations by estimating between- and within-populations variance components and genetic parameters, as well as to distinguish the populations using multivariable statistics. The experiment was …

Grain yield and its associations with pre-harvest sprouting in wheat

This study aimed to evaluate direct and indirect effects of agronomic traits importance on grain yield with focus in pre-harvest sprouting. Experiment was conducted in 2017 crop season, and conducted in a randomized block design, with three …

Mean performance and stability in multi‐environment trials i: combining features of ammi and blup techniques

Additive main effect and multiplicative interaction (AMMI) and best linear unbiased prediction (BLUP) are popular methods for analyzing multi‐environment trials (MET). The AMMI has nice graphical tools for modeling genotype‐vs.‐environment …

Mean performance and stability in multi‐environment trials ii: selection based on multiple traits

Modeling the genotype × environment interaction (GEI) and quantifying genotypic stability are crucial steps for selecting/recommending genotypes in multi‐environment trials (METs). The efficiency in selection/recommendation could be greater if based …

Multicollinearity in path analysis: a simple method to reduce its effects

Path analysis of grain yield associated characters in brazilians wheat genotypes (triticum aestivum l.)

The aim of this study was to evaluate the phenotypic interrelation among agronomic characters associated with wheat grain yield of the main Brazilian cultivated genotypes through path analysis in two environments. The tests were conducted in Tenente …

Pearson correlation coefficients and accuracy of path analysis used in maize breeding: a critical review

Maize (Zea mays L.) has been the subject of several studies involving correlation coefficient estimates and path analysis. This critical review discusses some systematic errors that have been observed in estimating of correlation coefficients and its …