GenomicLand: Software for genome-wide association studies and genomic prediction

Abstract

GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures.

Determination of optimal number of independent components in yield traits in rice

“…The configuration of the computer used in the statistical analyses was: Intel (R) Core (TM) i7-6500 (CPU 2.50 GHz) processor with 16 Gb of RAM. All the computational routines of the methods used were implemented in GenomicLand (Azevedo et al, 2019) available at https:// licaeufv.wordpress.com/genomicland/.…”

Genome-Enabled Prediction of Genetic Values for Using Radial Basis Function Neural Networks

“…The simulations and the RBFNN was implemented using Genes (Cruz, 2016) software in integration with Matlab (Matlab, 2011). The additive and additive-dominance G-BLUP models were fit using Genomic Land software (Azevedo et al, 2019) via REML through mixed model equations. Table 2 displays the accuracy and meansquare error root (RMSE) values for the scenario without dominance.…”

Multigenerational prediction of genetic values using genome-enabled prediction

“…The additive-dominance G-BLUP method was fitted using Genomic Land software [18] via REML through mixed model equations.…”

“…The simulations were implemented with software GENES [17]) and the statistical analyses were performed with software Genomic Land [18].…”