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predictive-breeding

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Predictive breeding uses genomic data, statistical models, and machine learning to forecast the performance of plant varieties before they are grown, enabling breeders to select superior candidates earlier in the development process. This approach accelerates crop improvement by reducing the time and cost of traditional field trials, and allows scientists to optimize traits such as yield, disease resistance, and climate adaptability with greater precision across diverse growing conditions.

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