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What is Genomic Prediction Models For Yield and Quality Traits about?

Genomic prediction models leverage genome-wide molecular marker data to estimate genetic potential for yield and quality traits in breeding programs, facilitating early and accurate selection. These models include various approaches such as linear mixed models, Bayesian methods, machine learning, and deep learning, each with unique advantages. Despite challenges like complex genetic architectures and computational demands, advancements in multi-omics integration and machine learning are expected to enhance

Author

mantu886148

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EN