Busca avançada
Ano de início
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Multispectral imaging for quality control of laboratory-reared Anastrepha fraterculus (Diptera: Tephritidae) pupae

Texto completo
Mastrangelo, Thiago [1] ; da Silva, Fabiano Franca [2] ; Mascarin, Gabriel Moura [3] ; da Silva, Clissia Barboza [2]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Ctr Nucl Energy Agr, Food Irradiat & Radioentomoly Lab, Piracicaba - Brazil
[2] Univ Sao Paulo, Coll Agr Luiz de Queiroz, Dept Crop Sci, Piracicaba - Brazil
[3] Embrapa Environm, Brazilian Agr Res Corp, Lab Environm Microbiol, Jaguariuna - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Journal of Applied Entomology; NOV 2019.
Citações Web of Science: 0

The sterile insect technique (SIT) has been widely used to suppress several fruit fly species. In southern Brazil, millions of sterile flies of the South American fruit fly, Anastrepha fraterculus Wiedemann (Dipetra: Tephritidae), will be produced in a mass-rearing facility called MOSCASUL to suppress wild populations from commercial apple orchards. In spite of standard rearing conditions, the quality of pupal batches can be inconsistent due to various factors. The quantification of poor quality material (e.g. empty pupae, dead pupae or larvae) is necessary to track down rearing issues, and pupal samples must be taken randomly and evaluated individually. To speed up the inspection of pupal samples by replacing the manual testing with the mechanized one, this study assessed a multispectral imaging (MSI) system to distinguish the variations in quality of A. fraterculus pupae and to quantify the variations based on reflectance patterns. Image acquisition and analyses were performed by the VideometerLab4 system on 7-d-old pupae by using 19 wavelengths ranging from 375 to 970 nm. The image representing the near infrared wavelength of 880 nm clearly distinguished among high-quality pupae and the other four classes (i.e. low-quality pupae, empty pupae, dead pupae and larvae). The blind validation test indicated that the MSI system can classify the fruit fly pupae with high accuracy. Therefore, MSI-based classification of A. fraterculus pupae can be used for future pupal quality assessments of fruit flies in mass-rearing facilities. (AU)

Processo FAPESP: 18/03802-4 - EMU concedido no processo 2017/15220-7: sistema de imagem VideoMeterLab
Beneficiário:Clíssia Barboza da Silva
Linha de fomento: Auxílio à Pesquisa - Programa Equipamentos Multiusuários
Processo FAPESP: 17/15220-7 - Métodos de análise de imagens não destrutivos para avaliação da qualidade de sementes
Beneficiário:Clíssia Barboza da Silva
Linha de fomento: Auxílio à Pesquisa - Apoio a Jovens Pesquisadores