Methodological approaches for estimating radiosensitivity in <i>Quillaja saponaria</i> : comparison of LD <sub>50</sub> models and a PCA-based integrative index

PURPOSE: estimates. MATERIAL & METHODS: values were derived from individual morphometric traits. In addition, a multivariate approach based on Principal Component Analysis was applied to integrate multiple growth related variables into a single radiosensitivity index. RESULTS: value of 89 Gy, capturing the combined phenotypic impact of radiation on early seedling development. CONCLUSION: Growth based multivariate integration provides a more robust and biologically meaningful framework for radiosensitivity assessment than conventional binary endpoints. The Principal Component Analysis offers an integrative radiosensitivity estimator, supporting its use as a reference threshold for future studies based on ionizing radiation in woody species.

Authors

Institutions

Publication Details

Journal
International Journal of Radiation Biology
Published
2026-04-14
DOI
https://doi.org/10.1080/09553002.2026.2654430
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Methodological approaches for estimating radiosensitivity in Quillaja saponaria : comparison of LD 50 models and a PCA-based integrative index

Martina Ruíz, Doris Ly, Tamara Vera, Daniel Villegas et al.
International Journal of Radiation Biology
Genetic diversity and population structure
article

Methodological approaches for estimating radiosensitivity in Quillaja saponaria : comparison of LD 50 models and a PCA-based integrative index

Martina Ruíz, Doris Ly, Tamara Vera, Daniel Villegas, María Pinto Molina, Jorge González, Laura Koch, Patricio Rojas, Macarena Fuica
article en

Abstract

PURPOSE: estimates. MATERIAL & METHODS: values were derived from individual morphometric traits. In addition, a multivariate approach based on Principal Component Analysis was applied to integrate multiple growth related variables into a single radiosensitivity index. RESULTS: value of 89 Gy, capturing the combined phenotypic impact of radiation on early seedling development. CONCLUSION: Growth based multivariate integration provides a more robust and biologically meaningful framework for radiosensitivity assessment than conventional binary endpoints. The Principal Component Analysis offers an integrative radiosensitivity estimator, supporting its use as a reference threshold for future studies based on ionizing radiation in woody species.

International Journal of Radiation Biology
Pontificia Universidad Católica de Valparaíso (CL), Comisión Chilena de Energía Nuclear (CL), Millennium Institute of Oceanography (CL)
Life in Land
Openalex Percentile: Top 15%
Genetic diversity and population structure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Methodological approaches for estimating radiosensitivity in <i>Quillaja saponaria</i> : comparison of LD <sub>50</sub> models and a PCA-based integrative index — Martina Ruíz, Doris Ly, et al. · International Journal of Radiation Biology (2026) | TGRS Research Map | TGRS