ACOUSTIC TOMOGRAPHY, A TECHNOLOGY FOR SEED TREE SELECTION IN THE PERUVIAN AMAZON

Baselly-Villanueva J.R.; Fernández-Sandoval A.; Macedo-Ramírez A.T.; Salazar-Hinostroza E.J.; Chumbimune-Vivanco S.Y.; Pérez-Arirama J.E.; Vallejos- Torres G.; Macedo Ladeira Carvalho A.M. · Folia Amazonica (2024) · DOI: 10.24841/fa.v33i2.753

Resumen

Afforestation and reforestation help to slow deforestation, but plantations in Peru show low productivity due to the use of seeds of poor genetic quality. Mass selection is the first phase of breeding programs, evaluating dasometric and morphometric characteristics. However, the evaluation of internal health is assessed with imprecise techniques. The aim of this study was to demonstrate that acoustic tomography is key to the selection of seed trees in the Peruvian Amazon. The species Anaueria brasiliensis, Aspidosperma parvifolium, Bertholletia excelsa, Cedrelinga cateniformis, Dipteryx micrantha, Nectandra cuspidata and Schefflera morototoni were evaluated. The acoustic tomograph was used to evaluate health, the incidence by species and the percentage of affectation were analyzed using the Kruskal‑Wallis test; and the association of health with dasometric variables was evaluated. Anaueria brasiliensis showed the highest incidence (45.4%), while Bertholletia excelsa and Cedrelinga cateniformis showed the lowest percentages (0.9%). There were significant differences for the percentage of candidate trees affected (p < 0.05) and they presented strong positive associations with the dasometric variables. This study confirms that acoustic tomography is fundamental in the selection of seed trees in the Peruvian Amazon.

Instituciones: Universidad Nacional de San Martín