130220 20241220120715.0 doi 10.1080/00218839.2023.2231673 sideral 135172 ART-2023-135172 eng Divasón, José In vitro maintenance of drones and development of a new software for sperm quality analysis facilitate the study of honey bee reproductive quality 2023 Access copy available to the general public Unrestricted This study aimed to develop a laboratory method that allows the in vitro maintenance of honey bee drones for several days while preserving their reproductive capacity and to create a new open-source software for the automatic analysis of their sperm quality. Three experiments were performed. The first experiment was designed to validate the new open-source software named CASABee for sperm quality assessment specifically designed for the honey bee. The software was able to identify motile and static spermatozoa with high precision. Results showed a high correlation between the results of sperm quality obtained both manually and by the CASABee system (0.95 and 0.96 for sperm motility and concentration, respectively, p < 0.001). In the second and third experiments, the effect of in vitro maintenance of drones without attendant workers for four days on their ejaculatory capacity and sperm quality, respectively, was evaluated. Survival rate was 98.68%, 89.48%, 75.93%, and 60.97% on average on days 1, 2, 3, and 4 after capturing, respectively. A high proportion of the drones (80.37% on average) were able to ejaculate providing semen, and there were no significant differences in the ejaculatory capacity and sperm quality of drones on the different days of in vitro maintenance, except for sperm viability, which decreased slightly on day 4 (71.71% vs 82.8% on day 0, p < 0.05). It was concluded that the new CASABee system and the method for laboratory maintenance of honey bee drones facilitate the study of reproduction in this species. info:eu-repo/grantAgreement/ES/AEI/PID2020-112673RB-I00 info:eu-repo/grantAgreement/ES/AEI/PID2020-116641GB-I00 info:eu-repo/grantAgreement/ES/DGA-FSE/A07-17R info:eu-repo/semantics/openAccess by-nc http://creativecommons.org/licenses/by-nc/3.0/es/ 1.4 2023 ENTOMOLOGY 46 / 109 = 0.422 2023 Q2 T2 0.449 2023 Insect Science 2023 Q2 4.8 2023 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Romero, Ana Silvestre, Miguel Á Santolaria, Pilar Universidad de Zaragoza (orcid)0000-0001-8991-325X Yániz, Jesús L. Universidad de Zaragoza (orcid)0000-0001-5316-1703 2008 700 Universidad de Zaragoza Dpto. Produc.Animal Cienc.Ali. Área Producción Animal 63, 5 (2023), 1088-1095 J. Apic. Res. JOURNAL OF APICULTURAL RESEARCH 0021-8839 104398 http://zaguan.unizar.es/record/130220/files/texto_completo.pdf Postprint info:eu-repo/date/embargoEnd/2024-07-10 892666 http://zaguan.unizar.es/record/130220/files/texto_completo.jpg?subformat=icon icon Postprint info:eu-repo/date/embargoEnd/2024-07-10 oai:zaguan.unizar.es:130220 articulos driver 2024-12-20-12:05:29 ARTICLE