https://www.selleckchem.com/pr....oducts/ly2835219.htm
with M3 being the less affected model; however, using the genome-enabled models (i.e., M2 and M3 ) the predictive ability is recovered when more genotypes are tested across environments. Our results indicate that a substantial part of the testing resources can be saved when using genome-based models including GE for optimizing sparse testing designs.We report work to quantify the impact on the probability of human genome polymorphism both of recombination and of sequence context at different scales. We use population-based analyses of
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