Publications des scientifiques de l'IRD

de Araujo W. A., Degrande P. E., Malaquias J. B., Silvie Pierre, Scoton A. M. N., Pachu J. K. D. (2023). Cut off behavior of Spodoptera frugiperda (Smith, 1797) (Lepidoptera : Noctuidae) in Soybean (Glycine max (L.) Merrill) seedlings. Brazilian Archives of Biology and Technology, 66, p. e23220386 [8 p.]. ISSN 1516-8913.

Titre du document
Cut off behavior of Spodoptera frugiperda (Smith, 1797) (Lepidoptera : Noctuidae) in Soybean (Glycine max (L.) Merrill) seedlings
Année de publication
2023
Type de document
Article référencé dans le Web of Science WOS:000973887900001
Auteurs
de Araujo W. A., Degrande P. E., Malaquias J. B., Silvie Pierre, Scoton A. M. N., Pachu J. K. D.
Source
Brazilian Archives of Biology and Technology, 2023, 66, p. e23220386 [8 p.] ISSN 1516-8913
In addition to destroying the leaves, stems, pods, and grains of soybean (Glycine max), Spodoptera frugiperda larvae may also have the cut off behavior in the seedlings close to the ground, harming the establishment of the soybean crop. Therefore, this study aimed to evaluate the consequences of the fall armyworm attack by adopting the cut off behavior, which has been similarly documented for black cutworm (Agrotis ipsilon) in newly emerged soybean plants. The treatments were five levels of infestation with 0, 5, 10, 20 and 40 larvae per m2. Three variables were assessed: (1) stand (relationship between attacked and initial number of plants), (2) types and amounts of injured structures, such as hypocotyl (embryonic shoot), and the cotyledons (seed leaves), and (3) level of defoliation. The variables were collected every 24 hours until the pupal stage. Additionally, the final stand of the seedlings was quantified, with the highest injury intensity observed in the plots that contained the highest number of larvae. In the second experiment, the dynamics of movement and attacks of plants by S. frugiperda larvae at the following times of the day: 07:00, 10:00, 13:00, 16:00, 19:00 and 21:00 were analyzed with supervised machine learning models. The injury caused by S. frugiperda with the behavior of the cut off and the voracity of the larvae were evident in the structures (hypocotyl and cotyledons) of the evaluated plants. The results of the present study emphasize the need to manage S. frugiperda during the preplanting phase of soybean.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du monde végétal [076]
Localisation
Fonds IRD [F B010087667]
Identifiant IRD
fdi:010087667
Contact