Czech Journal of Animal Science, 2025 (vol. 70), issue 9
Antimicrobial properties of secondary metabolites of Cannabis sativa: A promising natural alternative for livestock healthReview
Tereza Paulová, Karel Novák, Eva Pěchoučková
Czech J. Anim. Sci., 2025, 70(9):357-382 | DOI: 10.17221/85/2025-CJAS 
In addition to their practical importance as a medicinal plant, animal feed and a source of materials for the textile and construction industry, industrial varieties of Cannabis sativa L. (hemp in a wider sense) provide an alternative for controlling infectious diseases in livestock. Despite the genetic divergence between two primary groups of cannabis, i.e. medicinal cannabis and technical hemp, hemp plants also produce a wide spectrum of secondary metabolites. These include the main classes of cannabinoids and terpenoids, as well as representatives of flavonoids, stilbenoids, steroids, alkaloids, spiroindans, dihydrophenanthrenes, and...
Computer vision-based approaches to cattle identification: A comparative evaluation of body texture, QR code, and numerical labellingOriginal Paper
Roman Bumbálek, Jean de Dieu Marcel Ufitikirezi, Tomáš Zoubek, Sandra Nicole Umurungi, Radim Stehlík, Zbyněk Havelka, Radim Kuneš, Petr Bartoš
Czech J. Anim. Sci., 2025, 70(9):383-396 | DOI: 10.17221/66/2025-CJAS
Cattle identification systems are advancing to meet the growing demands of precision livestock management, traceability, and ethical animal treatment. This study investigates three methods: body texture recognition, QR code collars, and numerical labelling, implemented using the YOLOv8 convolutional neural network. Each method was evaluated in terms of accuracy, scalability, adaptability to dynamic herd changes, and operational efficiency under various environmental conditions. Body texture recognition, while leveraging unique natural patterns and achieving a mean Average Precision (mAP50–95) of 0.78 proved limited by its reliance on frequent...
Estimation of lean meat percentage in pig carcass with the use of objective methods with regard to sexOriginal Paper
Kristýna Klímová, Kristýna Lokvencová, Ivan Bahelka, Kateřina Zadinová, Roman Stupka, Jaroslav Čítek
Czech J. Anim. Sci., 2025, 70(9):397-403 | DOI: 10.17221/72/2025-CJAS
In the Czech Republic, the pig carcass classification is mandatory in slaughterhouses processing over 200 pigs weekly. As breeding practices evolve to enhance lean meat yield, it is essential to update regression equations used in classification systems. This study presents new regression models for the Fat-O-Meater II (FOM II) device, using computed tomography (CT) as the reference method. Separate equations were developed for barrows, gilts, and boars to improve the accuracy of lean meat percentage (LMC) estimation. To calibrate the CT method, 24 carcasses were selected across a range of backfat thicknesses and sexes. CT scans were performed...
Cryopreservative and antimicrobial properties of kaempferol on the post-thaw quality of turkey spermatozoaOriginal Paper
Filip Benko, Tomáš Slanina, Michal Ďuračka, Miroslava Kačániová, Eva Tvrdá
Czech J. Anim. Sci., 2025, 70(9):404-413 | DOI: 10.17221/79/2025-CJAS
At present, the low post-thaw quality of poultry semen presents a challenge to develop new strategies for its cryopreservation. The purpose of this research was to assess the impact of kaempferol (KAE) on post-thaw turkey sperm characteristics (motility, membrane and acrosome integrity, mitochondrial function), oxidative and microbial profile. Turkey semen (n = 40) was diluted and cryopreserved in modified Beltsville extender with 5, 10, and 25 µM of KAE or without it (cryopreserved control – CtrlC), while fresh semen served as negative control (CtrlN). Following thawing, parameters were evaluated including...