Predicting Heterosis and Selecting Superior Families and Individuals in spp. Based on Growth Traits and Genetic Distance Coupling.

spp. is one of the most important salt-alkali resistant tree species in the Yellow River region of China. However, the limited number of superior families and individuals, as well as the lack of a well-established parent selection system for hybrid breeding, have seriously constrained the improvement of seed orchards and the construction of advanced breeding populations. To address these issues, this study investigated 22 full-sib families of spp., using SSR molecular markers to calculate the genetic distance () between parents. Combined with combining ability analysis, the study aimed to predict heterosis in offspring growth traits and select superior families and individuals through multi-trait comprehensive evaluation. The results showed the following: (1) Tree height (), diameter at breast height (), and volume index () exhibited extremely significant differences among families, indicating rich variation and strong selection potential. (2) The phenotypic and genotypic coefficients of variation for , , and ranged from 4.34% to 16.04% and 5.10% to 17.73%, respectively. Family heritability was relatively high, ranging from 0.724 to 0.818, suggesting that growth is under strong genetic control. (3) The observed and expected heterozygosity of 15 parents were 0.557 and 0.410, respectively, indicating a moderate level of heterozygosity. Nei's genetic diversity index and Shannon's information index were 0.488 and 0.670, respectively, indicating relatively high genetic diversity. between parents ranged from 0.155 to 0.723. (4) Correlation analysis revealed significant or highly significant positive correlations between family heterosis and growth traits, combining ability, and , with specific combining ability () showing the strongest predictive power. Regression analysis further demonstrated significant linear correlations between and heterosis of and , and between and heterosis of , , and , establishing a threshold (≤0.723) and -based co-selection strategy. In addition, four superior families and 11 elite individuals were selected. Their genetic gains for , , and reached 2.28%, 3.30%, and 9.96% (family selection), and 1.98%, 2.11%, and 4.00% (individual selection), respectively. By integrating genetic distance () and quantitative genetic combining ability (), this study established a quantifiable prediction model and proposed the "- dual-index parent selection method", offering a new paradigm for genetic improvement in tree breeding.