Ontology highlight
ABSTRACT:
SUBMITTER: Tepa-Yotto GT
PROVIDER: S-EPMC8063841 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
Tepa-Yotto Ghislain T GT Tonnang Henri E Z HEZ Goergen Georg G Subramanian Sevgan S Kimathi Emily E Abdel-Rahman Elfatih M EM Flø Daniel D Thunes Karl H KH Fiaboe Komi K M KKM Niassy Saliou S Bruce Anani A Mohamed Samira A SA Tamò Manuele M Ekesi Sunday S Sæthre May-Guri MG
Insects 20210324 4
The present study is the first modeling effort at a global scale to predict habitat suitability of fall armyworm (FAW), <i>Spodoptera frugiperda</i> and its key parasitoids, namely <i>Chelonus insularis</i>, <i>Cotesia marginiventris,</i><i>Eiphosoma laphygmae,</i><i>Telenomus remus</i> and <i>Trichogramma pretiosum</i>, to be considered for biological control. An adjusted procedure of a machine-learning algorithm, the maximum entropy (Maxent), was applied for the modeling experiments. Model pre ...[more]