0000000000392854
AUTHOR
Isabelle Trinsoutrot-gattin
Démarche statistique pour la sélection des indicateurs par Random Forests pour la surveillance de la qualité des sols
The volume of data, and the large number of biological variables to be tested (one hundred), require analytical techniques, such asRandom Forests, which can overcome the problem of multi-colinearity for the selection of indicators, sensitive to various factors.Random Forests methodology is appropriate for the selection of the most discriminant variables. So, we searched for the best wayto select them, by bringing together all biological variables, representing the Microflora and Fauna. This approach focuses on impactindicators from the Bio2 program, indicators of flora and indicators of accumulation (snails) were not included.This work has been implemented on the three factors of discrimina…
Étude comparée du rôle des exsudats racinaires de pois (Pisum sativum) et de féverole (Vicia faba) durant les premières phases d’infection par Aphanomyces euteiches, agent pathogène de la pourriture racinaire du pois.
International audience