Beekeeping Dotaz Zobrazit nápovědu

14 záznamů v Medvik

Časopis

Včelařství : odborný časopis pro včelařství

62 -- Dysentery ana Nosema diseases of Honeybees. 66 -- Methods of Animal Health Control .68 -- Beekeeping -- Production of a Good Mead Needs -- Much Knowledge and Artform 372 -- The 19th Conference of Beekeeping -- Nay Even Small Steps Move the Beekeeping Forward 4 -- Beekeeper P Emanuel Tocháček .7 -- Highlights is the Largest Honey -- Importer of the World .10 -- The Conference was Based on 17 Papers.14 -- Beekeeping Hobday of Beekeepers . 103 -- Every Bedceeper is Dying Stupid .104 -- An Example of Commercial Beekeeping

Praha : Státní zemědělské nakladatelství, 1953- | 1969-1970 Praha : Československý svaz včelařů | 1970- Praha : Český svaz včelařů

svazky ; 30 cm

MeSH
včelařství MeSH
Publikační typ
periodika MeSH

Abstrakt

K historii a současnosti chovu včel a péči o jejich zdraví

Zdraví a nemoc v dějinách člověka a zvířat. 2014 ; () : 15-18.

ISBN 978-80-87896-09-9
Medvik
Zdroj

Časopis

Včelár : Odborný časopis pre včelárov

Bratislava : Príroda, 1957-

svazky ;

MeSH
včelařství MeSH
Publikační typ
periodika MeSH

Časopis

Český včelař

Praha : Zemská skupina chovatelů včel v Čechách a na Moravě, 1946-1948

3 svazky

MeSH
včelařství MeSH
Publikační typ
periodika MeSH

Časopis

Včela moravská : časopis včelařů moravských

Brno : Spolek včelařský, 1899-1942

44 svazků

MeSH
včelařství MeSH
Publikační typ
periodika MeSH

Článek

Virucides in apiculture: persistence of surrogate enterovirus under simulated field conditions

Pest management science. 2017 ; 73 (12) : 2544-2549. [pub] 20170822

Pest manag. sci. (Print)
ISSN 1526-4998
Medvik
Zdroj

BACKGROUND: Honeybee viruses have been recognized as being among the most important factors leading to colony losses worldwide. Colony food and faeces are regarded as possible sources of infectious viruses able to contaminate the environment and equipment of apiaries. Thus, methods for elimination of viruses are required. No cell culture assay for testing the effect of disinfectants on honeybee viruses is yet available. Therefore, surrogate virus was employed for testing of the efficacy of iodophor- and peracetic acid-based disinfectants in combination with six organic contaminants at +6 °C and +22 °C. Moreover, we evaluated the persistence of the surrogate in honey at +6 °C, +22 °C, and +50 °C. RESULTS: Iodophor-based disinfectant showed a maximum reduction of virus titre of 3.4 log10. Peracetic acid reduced the titre (≥4 log10) only at 22 °C and without yeast extract/bovine serum albumin. After 25 days of incubation of the virus - honey mix, no decrease of virus titre was observed at +6 °C, whereas a significant reduction (3.5 log10) was found at +50 °C already after 1 day. CONCLUSIONS: Both tested disinfectants can serve as appropriate virucides in apiaries. The effect of peracetic acid significantly depended on temperature and organic contaminants. The iodophor-based disinfectant showed a stable antiviral effect at different temperatures and with different contaminants. © 2017 Society of Chemical Industry.

Článek

Identification of pollen taxa by different microscopy techniques

PLoS One. 2021 ; 16 (9) : e0256808. [pub] 20210901

ISSN 1932-6203
Medvik
Zdroj

Melissopalynology is an important analytical method to identify botanical origin of honey. Pollen grain recognition is commonly performed by visual inspection by a trained person. An alternative method for visual inspection is automated pollen analysis based on the image analysis technique. Image analysis transfers visual information to mathematical descriptions. In this work, the suitability of three microscopic techniques for automatic analysis of pollen grains was studied. 2D and 3D morphological characteristics, textural and colour features, and extended depth of focus characteristics were used for the pollen discrimination. In this study, 7 botanical taxa and a total of 2482 pollen grains were evaluated. The highest correct classification rate of 93.05% was achieved using the phase contrast microscopy, followed by the dark field microscopy reaching 91.02%, and finally by the light field microscopy reaching 88.88%. The most significant discriminant characteristics were morphological (2D and 3D) and colour characteristics. Our results confirm the potential of using automatic pollen analysis to discriminate pollen taxa in honey. This work provides the basis for further research where the taxa dataset will be increased, and new descriptors will be studied.