JOURNAL ARTICLE
New records of feather mites of the genus Proctophyllodes (Acariformes: Proctophyllodidae) in China.
Published In: Systematic & Applied Acarology, 2023, v. 28, n. 1. P. 53 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sun, Li-Hua; He, Shu-Xiang; Liu, Huai; Wang, Zi-Ying 3 of 3
Abstract
A new feather mite species Proctophyllodes gracilitussp. nov. is described from the mountain bulbul Ixos mcclellandii (Horsfield) (Passeriformes: Pycnonotidae) in China. The new species belongs to the mecistocaulus species-group and differs from the most similar species, P. stenophyllusGaud & Mouchet, 1957, by having the following characters: in males of P. gracilitus, the terminal lamellae are thinner and longer (45–49×4–5) and the posterior part of the hysteronotal shield has circular lacunae; and in females setae h1 are situated at the level of posterior margin of supranal concavity, setae h2 are longer than terminal appendages, do not have enlargement in base, and setae h3 are about 2/3rds the length of terminal appendages. In addition, Proctophyllodes weigoldiVitzthum, 1922 has been collected from the willow tit Poecile montanus (Baldenstein) (Passeriformes: Paridae) that is a new host record for this species. This species is redescribed, because it was found that specimens from Po. montanus have some minor morphological differences from specimens of the common blackbird Turdus merula Linnaeus (Passeriformes: Turdidae) (a type host) and eyebrowed thrush Turdus obscurus Gmelin (Passeriformes: Turdidae). [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Systematic & Applied Acarology. 2023/01, Vol. 28, Issue 1, p53
- Document Type:Article
- Subject Area:Zoology
- Publication Date:2023
- ISSN:1362-1971
- DOI:10.11158/saa.28.1.6
- Accession Number:161393298
- Copyright Statement:Copyright of Systematic & Applied Acarology is the property of Systematic & Applied Acarology Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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