Optimized Histological Preparation of Ovary for Ovariole Counting in Africanized Honey Bee Queens (Hymenoptera: Apidae).


Journal

Journal of insect science (Online)
ISSN: 1536-2442
Titre abrégé: J Insect Sci
Pays: United States
ID NLM: 101096396

Informations de publication

Date de publication:
01 Mar 2019
Historique:
received: 22 09 2018
entrez: 10 3 2019
pubmed: 10 3 2019
medline: 15 3 2019
Statut: ppublish

Résumé

Techniques for counting ovariole number in virgin and mated Apis mellifera L. queens have been described in previous studies. Having a systematic and fast way to collect this measurement can help accelerate bee breeding programs, because selection decisions can be taken faster. The aim of this work was to develop an efficient histological method to preserve ovaries that allows assessing the number of ovarioles in newly emerged virgin queens, and also in mated queens, in a shorter time than the methods already published. The proposed method resulted in images suitable for ovariole counting in both newly emerged and mated queens, and the total histological process took less than 10 h. This method provides the optimization of the histological procedure for research breeding programs that use ovariole number as selection criteria for improving reproduction and production traits.

Identifiants

pubmed: 30851034
pii: 5372555
doi: 10.1093/jisesa/iez013
pmc: PMC6408696
pii:
doi:

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America.

Références

Braz J Biol. 2002 Nov;62(4A):641-9
pubmed: 12659014
J Insect Sci. 2011;11:82
pubmed: 21870968

Auteurs

Fernanda Raulino-Domanski (F)

Animal Science Department, Federal Technological University of Paraná - UTFPR, Estrada para Boa Esperança, Dois Vizinhos, PR, Brazil.

Michele Potrich (M)

Biological Sciences Department, Laboratory of Biological Control II, Federal Technological University of Paraná - UTFPR, Dois Vizinhos, PR, Brazil.

Patrícia F Freitas (PF)

Biological Sciences Department, Laboratory of Biological Control II, Federal Technological University of Paraná - UTFPR, Dois Vizinhos, PR, Brazil.

Fábio C Abdalla (FC)

Department of Biology, Laboratory of Structural and Functional Biology (LABEF), Federal University of São Carlos - UFSCar, Sorocaba, SP, Brazil.

Elias N Martins (EN)

Animal Science Department, Federal Technological University of Paraná - UTFPR, Estrada para Boa Esperança, Dois Vizinhos, PR, Brazil.

Daniela A L Lourenco (DAL)

Department of Animal and Dairy Science, University of Georgia, Athens, GA.

Fabiana Martins Costa-Maia (FM)

Animal Science Department, Federal Technological University of Paraná - UTFPR, Estrada para Boa Esperança, Dois Vizinhos, PR, Brazil.

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Classifications MeSH