Genotype‐by‐environment (G× E) interaction (GEI) and quantitative trait locus (QTL)‐by‐
environment interaction (QEI) are common phenomena in multiple‐environment trials and …

Missing values for some genotype-environment combinations are commonly encountered in
multienvironment trials. The recommended methodology for analyzing such unbalanced …

We propose a new methodology for multiple imputation when faced with missing data in
multi-environmental trials with genotype-by-environment interaction, based on the …

A common problem in multi-environment trials arises when some genotypeby-environment
combinations are missing. In Arciniegas-Alarcón et al.(2010) we outlined a method of data …

This paper proposes five new imputation methods for unbalanced experiments with
genotype by‐environment interaction (G× E). The methods use cross‐validation by …

GabrielEigen is a simple deterministic imputation system without structural or distributional
assumptions, which uses a mixture of regression and lower-rank approximation of a matrix …

Field trials supposed to enable selection of the most successful genotypes which is critical
because of the existence of Genotype by Environment interaction. To assess this interaction …

This study was conducted to evaluate yield stability of 12 Iranian and foreign olive cultivars
in Dalaho Olive Research Station during 2006-2008. According to the variance analysis …

O objetivo deste trabalho foi propor um novo algoritmo de imputação múltipla livre de
distribuição, por meio de modificações no método de imputação simples recentemente …

Research Article Deterministic Imputation in Multienvironment Trials Page 1 Hindawi
Publishing Corporation ISRN Agronomy Volume 2013, Article ID 978780, 17 pages http://dx.doi.org/10.1155/2013/978780 …