Template-Type: ReDIF-Article 1.0
Author-Name: Yutong Liu
Author-Workplace-Name: Agricultural College, Yanbian University, Yanji, P.R. China
Author-Name: Jiaming Luan
Author-Workplace-Name: Agricultural College, Yanbian University, Yanji, P.R. China
Author-Name: Xin Feng
Author-Workplace-Name: Agricultural College, Yanbian University, Yanji, P.R. China
Author-Name: Jinying Zhou
Author-Workplace-Name: Agricultural College, Yanbian University, Yanji, P.R. China
Author-Name: Chunyin Geng
Author-Workplace-Name: Agricultural College, Yanbian University, Yanji, P.R. China
Author-Workplace-Name: Ministry of Education, Engineering Research Center of North-East Cold Region Beef Cattle Science & Technology Innovation, Yanbian University, Yanji, P.R. China
Title: Evaluation of the feeding value of microbially fermented cottonseed meal by in vitro method
Abstract: In this study, different strains were used to ferment single/mixed cottonseed meal (cottonseed meal, corn flour, bran ratio of 7 : 2 : 1) substrates, and their feeding value was evaluated by an in vitro fermentation trial, to select suitable fermentation strains for cottonseed meal. For this purpose, two experiments (Exp.) were conducted. Exp. 1: Evaluation of the effect of fermentation of single cottonseed meal by different strains, which consisted of ten treatment groups: control (CON), Saccharomyces No. 1 (T1), Saccharomyces Fubon (T2), Saccharomyces Lallemand (T3), Lactobacillus (T4), Bacillus licheniformis (T5), Bacillus subtilis 10071 (T6), Bacillus subtilis 10089 (T7), Aspergillus niger (T8), and Monascus purpureus Went (T9). Exp. 2: Evaluation of the effect of fermentation of mixed cottonseed meal by different strains. The treatment groups were the same as in Exp. 1, numbered CON, M1, M2, M3, M4, M5, M6, M7, M8, and M9. The results showed that in both the single cottonseed meal group and the mixed cottonseed meal group free gossypol (FG) and methane (CH4) were significantly reduced and the gas production, total volatile fatty acids (TVFA), and in vitro digestibility of nutrients (P < 0.05) significantly increased, with Saccharomyces No. 1 showing the optimal effect. This study provides a theoretical basis for screening the suitable strains for fermenting cottonseed meal.
Keywords: detoxification efficiency, free gossypol, in vitro gas production, microorganisms, rumen fermentation
Journal: Czech Journal of Animal Science
Pages: 208-219
Volume: 71
Issue: 5
Year: 2026
DOI: 10.17221/6/2025-CJAS
File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/6/2025-CJAS.html
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Handle: RePEc:caa:jnlcjs:v:71:y:2026:i:5:id:6-2025-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, Czech Republic
Author-Name: Jaromír Ducháček
Author-Workplace-Name: Department of Animal Husbandry, Faculty of Agrobiology, Food, and Natural Resources, Czech University of Life Sciences Prague, Czech Republic
Author-Name: Luděk Stádník
Author-Workplace-Name: Department of Animal Husbandry, Faculty of Agrobiology, Food, and Natural Resources, Czech University of Life Sciences Prague, Czech Republic
Author-Name: Helena Brožová
Author-Workplace-Name: Department of Systems Engineering, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic
Title: Decision Support Systems in dairy cows farming: A 20-year scoping review of characteristics, applications, and future challenges
Abstract: Decision Support Systems (DSS) streamline dairy farm management by addressing challenges in productivity, animal welfare, sustainability, and economics. Yet, their precise impact on dairy cattle farm operations remains unclear. This scoping review systematically analyses DSS applications in dairy farming using studies from Scopus and Web of Science published between 2005 and June 2025, following PRISMA-ScR guidelines. From 1 112 identified records, 84 studies were included, after deduplication and screening, and classified into four mutually exclusive primary categories, namely data-, model- and knowledge-driven and other specialised DSS. The findings revealed that DSS complexity increased over time, with model-driven systems dominating (40.5%), followed by data- (38.1%) and knowledge-driven (15.5%) DSS, while other specialised systems accounted for the remaining 6.0%. Temporal multi-label analysis also highlighted trends towards integrated methodologies, with 20 DSS combining data- and model-driven approaches. DSS are mainly applied in Animal Health and Welfare (48% model- and 32% data-driven) and in Farm Business and Management (54.5% model- and 22.7% data-driven). Consequently, the top data inputs are Animal Health & Performance (28.0%), Farm & Business (22.4%), and Environmental & Spatial Data (21.3%). The most commonly applied models are Mathematical/Deterministic (22.7%) and Simulation (13.6%) models, increasingly alongside ML techniques. Key challenges include data integration, real-farm validation, model interpretability, bias reduction, and practical usability. Bridging these gaps will enhance DSS effectiveness and strengthen their potential to optimise dairy farming.
Keywords: animal health, dairy cows, decision support systems, farm management, machine learning, precision livestock farming, scoping review
Journal: Czech Journal of Animal Science
Pages: 191-207
Volume: 71
Issue: 5
Year: 2026
DOI: 10.17221/40/2026-CJAS
File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/40/2026-CJAS.html
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Template-Type: ReDIF-Article 1.0
Author-Name: Veronika Legarová
Author-Workplace-Name: Department of Food Science, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic
Author-Name: Sona Formankova Herman
Author-Workplace-Name: Department of Food Science, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic
Author-Name: Lucie Kejdova Rysova
Author-Workplace-Name: Department of Food Science, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic
Author-Name: Zbynek Formanek
Author-Workplace-Name: Department of Food Science, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic
Author-Name: Oto Hanus
Author-Workplace-Name: Dairy Research Institute Ltd., Prague 6 - Vokovice, Czech Republic
Author-Name: Katerina Bozikova
Author-Workplace-Name: Department of Food Science, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic
Author-Name: Hana Nejeschlebova
Author-Workplace-Name: Dairy Research Institute Ltd., Prague 6 - Vokovice, Czech Republic
Author-Name: Jaromir Duchacek
Author-Workplace-Name: Department of Food Science, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic
Author-Name: Matej Bozik
Author-Workplace-Name: Department of Food Science, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic
Title: Detection of milk manipulation for the purpose of targeted reduction of somatic cell count using the MALDI-TOF MS method
Abstract: This study examines methods for detecting illegal manipulation of raw cow's milk aimed at artificially reducing the somatic cell count (SCC) through centrifugation. This practice, motivated by economic gain, compromises the authenticity of the raw material and masks the true health status of the mammary gland. An experimental analysis of 68 samples demonstrated that centrifugation reduces somatic cell count by an average of 45.9 ± 11.6%. The MALDI-TOF MS method was used to identify changes in the peptide profile in the 500-4 000 Da range. Although no unique peaks specific to adulterated samples were detected, Pearson's correlation analysis revealed significant relationships between the intensity of specific peptides and SCC values. The strongest positive correlation was identified for peaks in the m/z 2 922 Da region (r = 0.69). Other relevant markers include fragments with m/z 1 768 Da (r = 0.51) and 901 Da (r = 0.49). The results confirm that monitoring quantitative changes in the intensity of specific peptides using mass spectrometry is a promising tool for identifying changes in the milk peptidome associated with variations in SCC, including those induced by technological manipulation.
Keywords: dairy authenticity, MALDI-TOF MS, proteomic profiling, udder health indicators
Journal: Czech Journal of Animal Science
Pages: 227-235
Volume: 71
Issue: 5
Year: 2026
DOI: 10.17221/52/2026-CJAS
File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/52/2026-CJAS.html
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Template-Type: ReDIF-Article 1.0
Author-Name: Eva Straková
Author-Workplace-Name: Department of Animal Breeding, Animal Nutrition and Biochemistry, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic
Author-Name: Natalie Klessy
Author-Workplace-Name: Department of Animal Breeding, Animal Nutrition and Biochemistry, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic
Title: Effect of cattle breed on muscle protein quality
Abstract: The aim of the study was to compare the muscle protein quality in the m. longissimus, pars thoracis of bulls of the Aberdeen Angus (AA) and Czech Fleckvieh (CF) breeds reared under identical conditions within an extensive pasture-based system. The CF breed exhibited a higher crude protein content (887 ± 87.4 g/kg of dry matter) compared to AA (812 ± 59.3 g/kg of dry matter); P ≤ 0.05. A higher content of non-essential amino acids was recorded in CF (390 ± 37.9 g/kg of dry matter) compared to AA (364 ± 44.5 g/kg of dry matter); P ≤ 0.05, as well as higher contents of essential amino acids (CF 406 ± 38.9 g/kg of dry matter, AA 382 ± 41.0 g/kg of dry matter; P ≤ 0.05) and total analysed amino acids (CF 796 ± 74.8 g/kg of dry matter, AA 746 ± 82.7 g/kg of dry matter; P ≤ 0.05). Breed-related differences were observed in the content of most analysed amino acids (P ≤ 0.05), except for tyrosine and phenylalanine, for which no effect of breed was found (P > 0.05). Lysine showed the highest content among essential amino acids (AA 73.4 ± 8.23 g/kg of dry matter, CF 76.6 ± 8.87 g/kg of dry matter; P ≤ 0.05), while glutamic acid was dominant among non-essential amino acids (AA 109 ± 14.4 g/kg of dry matter, CF 119 ± 12.5 g/kg of dry matter; P ≤ 0.05). The ratio of essential to non-essential amino acids (EAA/NEAA) did not differ between breeds (AA 1.05 ± 0.08, CF 1.04 ± 0.05; P > 0.05). The results indicate that cattle breed affects the content of crude protein and the content of most analysed amino acids in the muscle tissue of AA and CF breeds; however, the EAA/NEAA ratio remains unaffected by breed.
Keywords: beef, genotype, nutrients, nutritional quality, pasture
Journal: Czech Journal of Animal Science
Pages: 220-226
Volume: 71
Issue: 5
Year: 2026
DOI: 10.17221/55/2026-CJAS
File-URL: http://cjas.agriculturejournals.cz/doi/10.17221/55/2026-CJAS.html
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