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From genotype x environment interaction to gene x environment interaction
Historically in plant breeding a large number of statistical models has been developed and used for studying genotype x environment interaction. These models have helped plant breeders to assess the stability of economically ...
A general Bayesian estimation method of linear-bilinear models applied to plant breeding trials with genotype × environment interaction
Statistical analyses of two-way tables with interaction arise in many different fields of research. This study proposes the von Mises?Fisher distribution as a prior on the set of orthogonal matrices in a linear?bilinear ...
Screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations
Crop breeding programs using conventional approaches, as well as new biotechnological tools, rely heavily on data resulting from the evaluation of genotypes in different environmental conditions (agronomic practices, ...
A bayesian approach for assessing the stability of genotypes
Several statistical models can be used for assessing genotype 3 environment interaction (GEI) and studying genotypic stability. The objectives of this research were to show how (i) to use Bayesian methodology for computing ...
Sample size for detecting and estimating the proportion of transgenic plants with narrow confidence intervals
Detecting the presence of genetically modified plants (adventitious presence of unwanted transgenic plants, AP) from outcrossing species such as maize requires a method that lowers laboratory costs without losing precision. ...
Optimal sample size for estimating the proportion of transgenic plants using the Dorfman model with a random confidence interval
Group testing is a procedure in which groups that contain several units (plants) are analysed without having to inspect individual plants, with the purpose of estimating the prevalence of genetically modified plants ...