A new study in Forest Ecosystems unveils innovative design strategies to dramatically improve Pinus tabuliformis, a cornerstone species of northern China's forests. The research focused on optimizing advanced generation breeding, revealing that direct selection significantly outperforms combined selection, delivering impressive gains: a 7.72% increase in diameter, a substantial 18.56% jump in height, and a remarkable 31.01% surge in overall volume. Furthermore, addressing the critical issue of inbreeding, the researchers developed the Improved Adaptive Genetic Programming Algorithm (IAPGA). This innovative strategy demonstrably reduces inbreeding by a significant 14.36% within advanced seed orchards established using the selected breeding population. The results are pivotal for sustainable forest management, promising enhanced ecological resilience and substantial economic benefits through increased timber yield and improved forest health. This study provides valuable insights for optimizing breeding programs and ensuring the long-term vitality of Pinus tabuliformis forests in China.

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