Agricultural Bioinformatics › Genetic Load Assessment in Crop Populations
Mutational Target Size and Efficacy Selection in Crop Improvement Programs
This research quantifies the genome-wide mutational burden relative to selective breeding intensity to predict the feasibility of maintaining selection progress while controlling load accumulation. The findings establish mathematical frameworks for optimizing breeding strategies under load-fitness trade-offs.
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