BLUP

metan: an R package for multi‐environment trial analysis

The reference article of the r pakage metan

MGIDI: towards an effective multivariate selection in biological experiments

Multi-trait selection in biological experiments

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, …

Mgidi: towards an effective multivariate selection in biological experiments

Multivariate data are common in biological experiments and using the information on multiple traits is crucial to make better decisions for treatment recommendations or genotype selection. However, identifying genotypes/treatments that combine high …

Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using reml/blup and gower's algorithm

The cultivation of second-harvest with soybean crop after first-harvest with maize crop has become an alternative to aggregate income to farmers in the South region of Brazil. However, there is little information about this cropping system in this …

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 …

Methods of adaptability and stability applied to eucalyptus breeding

textcopyright 2018 Embrapa. The objective of this work was to evaluate the consistency of the methods of Annicchiarico, Lin \& Binns, Wricke, and factor analysis in identifying eucalyptus clones with stability, adaptability, and high productive …

Reml/blup and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield-related traits