Template-Type: ReDIF-Article 1.0 Author-Name: Jean de Dieu Marcel Ufitikirezi Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Roman Bumbálek Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Tomáš Zoubek Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Petr Bartoš Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Workplace-Name: Department of Applied Physics and Technology, Faculty of Education, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Zbyněk Havelka Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Jan Kresan Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Radim Stehlík Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Radim Kuneš Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Pavel Olšan Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Miroslav Strob Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Sandra Nicole Umurungi Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Pavel Černý Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Marek Otáhal Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Author-Name: Luboš Smutný Author-Workplace-Name: Department of Technology and Cybernetics, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic Title: Enhancing cattle production and management through convolutional neural networks. A review Abstract: The rise in demand for animal products associated with global population growth has driven the world toward precision livestock farming, where convolutional neural networks (CNN) have gained increasing attention due to their potential to enhance animal health, productivity, and welfare. However, the effectiveness and generalizability of CNN applications in cattle production are limited by several challenges and limitations, which require further research and development to address. This systematic literature review aims to provide a comprehensive overview of the applications of CNN in cattle production. It identified some potential applications of CNN in this field and highlighted the challenges and limitations that need to be addressed to improve the effectiveness and efficiency of CNN applications in cattle production. It also provides valuable insights for researchers, practitioners, and policymakers interested in the use of CNN to enhance cattle production practices, animal welfare, and sustainability. Additionally, it also provides the reader with a summary of the literature on the fundamental concepts of convolutional neural networks and their commonly used model architectures in cattle production. This is because agriculture digitalisation is going more multidisciplinary and people from different areas of expertise may find it helpful to learn more from a combined source. Keywords: Agriculture 4.0, agriculture digitalization, cattle health monitoring, cattle identification, precision livestock farming, stables technologies Journal: Czech Journal of Animal Science Pages: 75-88 Volume: 69 Issue: 3 Year: 2024 DOI: 10.17221/124/2023-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/124/2023-CJAS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/cjs-202403-0001.txt Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:3:id:124-2023-CJAS Template-Type: ReDIF-Article 1.0 Author-Name: Jovana Grba Author-Workplace-Name: University of Novi Sad, Faculty of Agriculture, Department of Animal Science, Serbia Author-Name: Lenka Kuželová Author-Workplace-Name: Faculty of Biotechnology and Food Science, Slovak University of Agriculture, Nitra, Slovak Republic Author-Workplace-Name: AgroBioTech Research Centre, Slovak University of Agriculture, Nitra, Slovak Republic Author-Name: Alexander Makarevich Author-Workplace-Name: Research Institute for Animal Production Nitra, National Agricultural and Food Centre (NPPC), Lužianky, Slovak Republic Author-Name: Andrej Baláži Author-Workplace-Name: Research Institute for Animal Production Nitra, National Agricultural and Food Centre (NPPC), Lužianky, Slovak Republic Author-Name: Saša Dragin Author-Workplace-Name: University of Novi Sad, Faculty of Agriculture, Department of Animal Science, Serbia Author-Name: Dragana Tekić Author-Workplace-Name: University of Novi Sad, Faculty of Agriculture, Department of Agroeconomy, Serbia Author-Name: Peter Chrenek Author-Workplace-Name: Faculty of Biotechnology and Food Science, Slovak University of Agriculture, Nitra, Slovak Republic Author-Workplace-Name: Research Institute for Animal Production Nitra, National Agricultural and Food Centre (NPPC), Lužianky, Slovak Republic Title: The effect of ellagic acid on rabbit sperm in vitro parameters after cryopreservation Abstract: Cryopreservation reduces the antioxidant activity of spermatozoa and makes them more sensitive to damage caused by reactive oxygen species (ROS). The addition of antioxidants to the freezing medium could prevent cryo-damage by mitigating the harmful effects of ROS and, thus, protecting the spermatozoa. This study aimed to evaluate the effect of ellagic acid (EA) on the rabbit sperm traits after freezing-thawing. Semen samples collected from New Zealand White rabbit males were cryopreserved in a BotuCrio freezing medium (Nidacon, Sweden) supplemented with different concentrations of ellagic acid (EA at 0, 0.5, 1.5 and 2.5 mM) using the manual slow freezing procedure. After thawing, sperm motility parameters were evaluated by CASA. The parameters of viability (DRAQ7), apoptosis (Yo-Pro-1), acrosome integrity (peanut agglutinin; PNA), intracellular ROS (CellROX) and mitochondrial activity (MitoTracker) were evaluated by flow cytometry. EA added to the freezing medium at all concentrations led to a significant reduction (P < 0.05) in intracellular ROS in frozen-thawed sperm cells. However, this effect was not reflected in motility parameters. Semen supplemented with 1.5 mM EA also yielded a lower proportion of apoptotic cells compared to the control group. In conclusion, EA supplementation of semen extender demonstrated its antioxidative properties protecting spermatozoa against oxidative damage during cryopreservation. Nevertheless, to draw a definitive conclusion regarding the effect of EA on spermatozoa functionality, additional research is necessary. Keywords: spermatozoa, antioxidant, viability, motility, ROS Journal: Czech Journal of Animal Science Pages: 110-117 Volume: 69 Issue: 3 Year: 2024 DOI: 10.17221/142/2023-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/142/2023-CJAS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/cjs-202403-0002.txt Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:3:id:142-2023-CJAS Template-Type: ReDIF-Article 1.0 Author-Name: Joab Malanda Osotsi Author-Workplace-Name: Department of Animal Science, Institute of Animal Science Biotechnology and Natural Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary Author-Workplace-Name: Doctoral School of Animal Science, University of Debrecen, Debrecen, Hungary Author-Name: Gabriella Novotni-Danko Author-Workplace-Name: Department of Animal Science, Institute of Animal Science Biotechnology and Natural Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary Author-Name: Peter Balogh Author-Workplace-Name: Non-independent Department of Research Methodology and Statistics, Institute of Statistics and Methodology, Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary Title: The nurse sow system ‒ A natural process of handling large litters: A review Abstract: Reproductive performance in pig production has gained genetic momentum resulting in large litters. Several strategies have been used to raise the number of piglets to address the challenge of a large litter size. This review provides a rationale for employing the nurse sow system as a biological way of handling large litters, exploring its step-by-step processes and its selected impacts. By exposing these steps, pig farmers will use the information to pinpoint their weak points in the chain and customize the procedures to meet their farm-specific goals for improved productivity. The nurse sow system helps to maximize pre-weaning survival by boosting the overall worth of low birth weight piglets. When piglets weaned per sow/year are used as a performance benchmark, nurse sows weaning double litters become economically advantageous. Extended time in lactation for nurse sows gives them an ample time for their uterus to involute before the next pregnancy. However, nurse sows lose their body reserves reflected in backfat thickness from high milk production. Prolonged confinement in lactation deteriorates the physical condition of nurse sows, resulting in leg ulcers and teat damage. Additionally, piglets are more distressed when taken away from their biological sow to a new sow. Keywords: fostering, piglet, pig production, selection Journal: Czech Journal of Animal Science Pages: 89-101 Volume: 69 Issue: 3 Year: 2024 DOI: 10.17221/158/2023-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/158/2023-CJAS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/cjs-202403-0003.txt Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:3:id:158-2023-CJAS Template-Type: ReDIF-Article 1.0 Author-Name: Eva Straková Author-Workplace-Name: Department of Animal Husbandry, Animal Nutrition and Biochemistry, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic Author-Name: Lucie Všetičková Author-Workplace-Name: Department of Zoology, Fisheries, Hydrobiology and Apiculture, Faculty of AgriSciences, Mendel University in Brno, Brno, Czech Republic Author-Name: Pavel Suchý Author-Workplace-Name: Department of Animal Husbandry, Animal Nutrition and Biochemistry, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic Title: Effect of three types of oils on intramuscular fat composition of fattened cockerels Abstract: The aim of the study was to assess the effect of selected vegetable oils on the representation of dietary fatty acids in the muscle of broiler cockerels. The experiment included three groups of one-day-old cockerels of ROSS 308 genotype, 15 individuals each. The feed mixture and drinking water were fed to the cockerels, ad libitum. In accordance with the technological instructions for the hybrid combination ROSS 308, BR1 was fed to chickens up to 9 days of age with the same nutrient and oil (soybean) composition for all three groups. From day 10 to day 28 of fattening the chicks were fed BR2 and from day 29 to day 35 BR3. The components and composition of the BR2 and BR3 feeds were identical; feed mixtures differed only in oil, soybean oil was added to Group 1 (SBO), rapeseed oil to Group 2 (RSO) and sunflower oil to Group 3 (SFO). Cockerels were fed until 35 days of age and then slaughtered. Breast and thigh muscles were collected from 10 individuals from each group to determine total fat in which individual fatty acid (FA) analysis was performed. Based on the obtained results, rapeseed oil can be clearly recommended for broiler chickens in feed mixtures, for the reasons that the cockerels from the RSO group showed the highest live weight (35 days of fattening), had the lowest feed conversion ratio, had an increased n-3 FAs content in the intramuscular fat (breast and thigh), and the narrowest n-3 : n-6 FAs ratio in the intramuscular fat (breast and thigh). Keywords: fatty acids, rapeseed oil, ROSS 308, soybean oil, sunflower oil Journal: Czech Journal of Animal Science Pages: 102-109 Volume: 69 Issue: 3 Year: 2024 DOI: 10.17221/5/2024-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/5/2024-CJAS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/cjs-202403-0004.txt Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:3:id:5-2024-CJAS