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The present study, conducted in the Indian Himalayan region from 2021 to 2023, aimed to explore variations in the physico-chemical properties of wood in wild genotypes of Juglans regia, given the rising global demand for premium walnut wood. Wood samples were extracted at a depth of 5–7 cm in from the stem maximum diameter at breast height (DBH) for analysis. Significant variation (P < 0.05) among genotypes was observed in parameters such as DBH, tree height, specific gravity, bark per cent, alcohol-benzene extractives, and cold-water solubility, with high coefficients of variation, indicating their potential for genotype characterisation. Tree height showed a significant positive correlation with latitude (r = 0.31), fibre length (r = 0.98), and wood percentage (r = 0.55), whereas it was negatively correlated with bark percentage (r = −0.55). The lignin content was positively correlated with alcohol-benzene extractives (r = 0.76) and negatively correlated with holocellulose content (r = −0.80). Principal component analysis revealed that tree height, fibre length, wood percentage, lignin content, holocellulose content, and solubility traits accounted for 81% of total variation across five principal components (eigenvector score ≥ 0.75). Genotypes CHN-I, CHN-II, CHK-I, GSN-V, ANI-I, DML-II, and PLD-I were identified as being superior, offering significant potential for genomic breeding programs to enhance walnut wood quality and growth.
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Sharma et al. (2025) studied this question.
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