Your English writing platform
Discover LudwigSuggestions(3)
Exact(1)
In the simulation, breeding values are generated for three types of individuals, queens, sires and worker groups, and subsequently the phenotypes for colonies are generated.
Similar(59)
Based on a real dairy cattle dataset, breeding values were generated in the last generation of sires to mimic genomic pre-selection.
Breeding values were generated by designating 200 random segregating (minor allele frequency ≥ 0.1) SNPs as quantitative trait loci (QTL).
The remaining generations, serving as the test data, were only genotyped but not phenotyped, although the true breeding values were generated for testing the accuracy of models.
An animal's breeding value was generated as the sum of the parent average and a Mendelian sampling deviation that considered inbreeding of the sire and dam.
Simulation shows that the resulting estimated breeding values are unbiased predictors of true breeding values.
Consider how breeding values are calculated for the different approaches.
Deregressed estimated breeding values were available for 328 genotyped boars.
p values were generated by Student t-test.
Genomic breeding values are calculated using the same approach as window breeding values but utilized every SNP in the genome.
Two breeding values are simulated for each individual, a breeding value for the worker effect and a breeding value for the queen effect.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com