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UrduA research team created seven learning models using Support Vector Machine (SVM) algorithms to discern flowering-time-associated genes (FTAGs) from non-FTAGs, with the SVM-Kmer-PC-PseAAC model performing the best (F1 score = 0.934, accuracy = 0.939, and receiver operating characterstic = 0.943).
Tag: flowering time
Tomato timekeeper: NF-YA3b gene’s role in flowering time revealed
Controlling the timing of flowering in crops is crucial for optimizing yields and adapting to climate changes. A recent study has identified a specific gene in tomatoes that regulates this critical phase, providing a significant step forward in the ability to fine-tune agricultural practices and enhance productivity.