Template-Type: ReDIF-Article 1.0 Author-Name: Ayu Septi Anggraeni Author-Workplace-Name: Research Center for Food Technology and Processing, National Research and Innovation Agency, Gunungkidul, Indonesia Author-Name: Anuraga Jayanegara Author-Workplace-Name: Graduate School of Nutrition and Feed Science, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor, Indonesia Author-Name: Ahmad Sofyan Author-Workplace-Name: Research Center for Animal Husbandry - National Research and Innovation Agency, Bogor, Indonesia Author-Name: Erika Budiarti Laconi Author-Workplace-Name: Graduate School of Nutrition and Feed Science, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor, Indonesia Author-Name: Nur Rochmah Kumalasari Author-Workplace-Name: Graduate School of Nutrition and Feed Science, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor, Indonesia Author-Name: I Nyoman Gunadarma Author-Workplace-Name: Graduate School of Faculty of Animal Science Bogor Agricultural University (IPB University), Dramaga-Bogor, Indonesia Author-Name: Hendra Herdian Author-Workplace-Name: Research Center for Animal Husbandry - National Research and Innovation Agency, Bogor, Indonesia Author-Name: Rusli Fidriyanto Author-Workplace-Name: Research Center for Research Center for Applied Zoology - National Research and Innovation Agency, Bogor, Indonesia Title: In vitro and in sacco evaluation of total mixed ration silage added different levels of chitosan Abstract: This experiment aimed to evaluate the effects of chitosan administration to total mixed ration (TMR) silage on ruminal fermentation characteristics and degradability by using both in vitro and in sacco methods. The completely randomized design (CRD) used in this study included five treatments and six replications. The treatments consisted of TMR silage with distilled water as control (SA), TMR with 1% acetic acid (SB), 0.5% chitosan in 1% acetic acid diluent (SC), 1% chitosan in 1% acetic acid diluent (SD), and 1.5% chitosan in 1% acetic acid diluent (SE). The variables observed were ruminal fermentation parameters, methane production and in sacco nutrient degradability. Results revealed that adding 1-1.5% chitosan (SD and SE treatments) reduced (P < 0.05) total protozoa, total gas production, methane production, the percentage of acetic acid, and the ratio of acetic acid to propionic acid, while it increased (P < 0.05) the proportion of propionic acid. The addition of chitosan (SE treatment) decreased (P < 0.05) the degradation of dry matter, but it increased (P < 0.05) the degradability of organic matter and crude protein, as determined by in sacco analysis. Keywords: chitosan, in vitro, in sacco, rumen modifier, silage Journal: Czech Journal of Animal Science Pages: 178-190 Volume: 69 Issue: 5 Year: 2024 DOI: 10.17221/173/2023-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/173/2023-CJAS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/cjs-202405-0001.txt Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:5:id:173-2023-CJAS Template-Type: ReDIF-Article 1.0 Author-Name: Elizangela Zayana Lima D'suze Author-Workplace-Name: Department of Animal Sciences, Federal University of Roraima, Boa Vista, Roraima, Brazil Author-Name: Nandrya Hayne Santos de Lima Author-Workplace-Name: Department of Animal Sciences, Federal University of Roraima, Boa Vista, Roraima, Brazil Author-Name: Denise de Assis Paiva Author-Workplace-Name: Department of Statistics, Federal University of Lavras, Lavras, Minas Gerais, Brazil Author-Name: Nilsa Duarte da Silva Lima Author-Workplace-Name: Department of Animal Sciences, Federal University of Roraima, Boa Vista, Roraima, Brazil Author-Name: Thalles Ribeiro Gomes Author-Workplace-Name: Department of Animal Sciences, Federal University of Roraima, Boa Vista, Roraima, Brazil Author-Name: José Teodoro de Paiva Author-Workplace-Name: Department of Animal Sciences, Federal University of Roraima, Boa Vista, Roraima, Brazil Title: Meta-analysis of genetic parameters for productive traits in Nile tilapia (Oreochromis niloticus) Abstract: The advances in the production traits of Oreochromis niloticus are due to the development of genetically superior broodstock animals. Understanding the genetic variability of fish stocks is crucial to any animal breeding program. The aim of this study was to perform a meta-analysis of genetic parameters that considers the variability between studies for economically important traits in the Nile tilapia (Oreochromis niloticus) production. The final dataset from literature review contained 226 estimates of heritability and 53 estimates of genetic correlation across 37 peer-reviewed articles published between 2002 and 2022. Weighted genetic parameter estimates were obtained by fitting a random effect model for all traits studied. Heterogeneity across studies were assessed using the Q statistic and I2 index. Heritability estimates ranged from low to moderate magnitude, indicating that a greater response to selection is expected for body length (0.37), body weight (0.29), body width (0.28), and daily weight gain (0.28), compared to the other traits, body height (0.25) and fillet yield (0.19). Genetic correlations ranged from moderate to high magnitude (0.47 to 0.94), which suggests that part of expression of traits is regulated by the same gene groups. The meta-analysis study provided reliable genetic parameter estimates and these findings may be served as the baseline reference for new Nile tilapia (Oreochromis niloticus) breeding programs. Keywords: genetic correlation, fish production, heritability, heterogeneity Journal: Czech Journal of Animal Science Pages: 200-208 Volume: 69 Issue: 5 Year: 2024 DOI: 10.17221/6/2024-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/6/2024-CJAS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/cjs-202405-0002.txt Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:5:id:6-2024-CJAS Template-Type: ReDIF-Article 1.0 Author-Name: Jakub Vozaf Author-Workplace-Name: Institute of Biotechnology, Faculty of Biotechnology and Food Sciences, Slovak University of Agriculture, Nitra, Slovak Republic Author-Name: Andrea Svoradová Author-Workplace-Name: Institute of Farm Animal Genetics and Reproduction, NPPC, Research Institute for Animal Production, Nitra - Lužianky, Slovak Republic Author-Workplace-Name: Department of Morphology, Physiology and Animal Genetics, Faculty of Agri Sciences, Mendel University, Brno, Czech Republic Author-Name: Jaromír Vašíček Author-Workplace-Name: Institute of Biotechnology, Faculty of Biotechnology and Food Sciences, Slovak University of Agriculture, Nitra, Slovak Republic Author-Workplace-Name: Institute of Farm Animal Genetics and Reproduction, NPPC, Research Institute for Animal Production, Nitra - Lužianky, Slovak Republic Author-Name: Lucia Olexiková Author-Workplace-Name: Institute of Farm Animal Genetics and Reproduction, NPPC, Research Institute for Animal Production, Nitra - Lužianky, Slovak Republic Author-Name: Andrej Baláži Author-Workplace-Name: Institute of Farm Animal Genetics and Reproduction, NPPC, Research Institute for Animal Production, Nitra - Lužianky, Slovak Republic Author-Name: Hana Ďuránová Author-Workplace-Name: AgroBioTech Research Centre, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic Author-Name: Alexander Ostró Author-Workplace-Name: Department of Gynaecology and Obstetrics, Pavol Jozef Šafárik University, Košice, Slovak Republic Author-Name: Silvia Toporcerová Author-Workplace-Name: Department of Gynaecology and Obstetrics, Pavol Jozef Šafárik University, Košice, Slovak Republic Author-Name: Peter Chrenek Author-Workplace-Name: Institute of Biotechnology, Faculty of Biotechnology and Food Sciences, Slovak University of Agriculture, Nitra, Slovak Republic Author-Workplace-Name: Institute of Farm Animal Genetics and Reproduction, NPPC, Research Institute for Animal Production, Nitra - Lužianky, Slovak Republic Title: High percentage of morphological defects in sperm of the Zemplin rabbit breed: A major obstacle to fertility? Abstract: This research investigates the high prevalence of morphological defects in the sperm of a particular rabbit breed, namely the Zemplin rabbit (ZR). We tried to uncover the possible causes and consequences of the observed abnormalities. Ejaculate samples from ten adult males were divided into two qualitative groups according to the motility parameters revealed by CASA (computer-assisted sperm analysis). Group A contained samples with total motility (TM) above 50% and progressive motility (PM) above 30%. Group B contained samples with TM and PM below these values. Viability (SYBR-14/DRAQ5TM and SYTOXTM Green/DRAQ5TM staining) and apoptosis (YO-PRO TM-1/DRAQ5 TM stainig) analyses through flow cytometry served as an additional insight into the characteristics of the qualitative groups. In both cases, we noted significant differences (P < 0.05) between groups which corresponded to motility values. Both groups showed an increased incidence of abnormal spermatozoa, and we did not observe any significant differences between them. Simultaneously, we assessed the practical implications of these sperm defects on artificial insemination (AI), and also, we did not notice any significant differences in these parameters. The use of transmission electron microscopy enhanced our understanding of the morphological defects at the ultrastructural level. In summary, the study provides an understanding of the qualitative differences in rabbit semen, highlighting variations in quality parameters. While these differences exist, they may not necessarily translate into significant variations in AI outcomes. Our study shows higher values of cytoplasmic droplets in ZR semen, but it also shows that these conditions do not necessarily mean a fundamental obstacle to fertility in the case of AI. Keywords: biodiversity, conservation, cytoplasmic droplet, morphology, spermatozoa Journal: Czech Journal of Animal Science Pages: 191-199 Volume: 69 Issue: 5 Year: 2024 DOI: 10.17221/29/2024-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/29/2024-CJAS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/cjs-202405-0003.txt Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:5:id:29-2024-CJAS Template-Type: ReDIF-Article 1.0 Author-Name: Jan Saro Author-Workplace-Name: Department of Systems Engineering, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic Author-Name: Luděk Stádník Author-Workplace-Name: Department of Animal Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic Author-Name: Petra Bláhová Author-Workplace-Name: Department of Systems Engineering, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic Author-Name: Simona Huguet Author-Workplace-Name: Department of Systems Engineering, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic Author-Name: Helena Brožová Author-Workplace-Name: Department of Systems Engineering, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic Author-Name: Jaromír Ducháček Author-Workplace-Name: Department of Animal Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic Title: A decision support system based on disease scoring enables dairy farmers to proactively improve herd health Abstract: Decision support systems (DSSs) enable dairy farmers to make informed and timely decisions on herd health management. However, the lack of a disease scoring system by category and severity limits the application of this approach. In this study, we developed an innovative approach to dairy herd health management by establishing a novel scoring system for dairy herd health management aimed at providing a more nuanced understanding of disease impact. For this purpose, we retrieved 5-year data from 2 558 disease diary records of 798 primiparous and multiparous cows housed on a Czech farm and classified 125 production diseases into six categories, namely lameness, mastitis, postpartum diseases, digestive system, reproductive diseases and other diseases. Based on this metric, we developed a data-driven DSS for farm management. Using this DSS, we identified markers of disease categories for efficient veterinary monitoring on dairy farms. This DSS highlighted a decreasing trend of average monthly disease scores, yet the prevalence of postpartum and other diseases increased during the same period, due to changes in reproduction management within the herd. These findings underscore the need for data-driven targeted interventions for promoting the herd health. Therefore, our scoring model not only provides a comprehensive framework for dairy herd health monitoring and improvement but also advances dairy farming by providing a decision support system easily applicable to dairy farms based on available data recorded in disease diaries. Keywords: dairy cows, descriptive analysis, disease scoring system, farm management, production disease Journal: Czech Journal of Animal Science Pages: 165-177 Volume: 69 Issue: 5 Year: 2024 DOI: 10.17221/53/2024-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/53/2024-CJAS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/cjs-202405-0004.txt Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:5:id:53-2024-CJAS Template-Type: ReDIF-Article 1.0 Author-Name: Murteza Cakir Author-Workplace-Name: Department of Neurosurgery, Medical Faculty, Ataturk University, Erzurum, Turkey Title: Corrigendum: Protective effects of green tea (Camellia sinensis) extract against cypermethrin-induced neurotoxicity in rainbow trout (Oncorhynchus mykiss) brain tissues Journal: Czech Journal of Animal Science Pages: 209 Volume: 69 Issue: 5 Year: 2024 DOI: 10.17221/83/2024-CJAS File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/83/2024-CJAS.html File-Format: text/html Handle: RePEc:caa:jnlcjs:v:69:y:2024:i:5:id:83-2024-CJAS