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19 pages, 1667 KiB  
Article
Carbon Footprint and Economic Trade-Offs in Traditional Greek Silvopastoral Systems: An Integrated Life Cycle Assessment Approach
by Emmanouil Tziolas, Andreas Papadopoulos, Vasiliki Lappa, Georgios Bakogiorgos, Stavroula Galanopoulou, María Rosa Mosquera-Losada and Anastasia Pantera
Forests 2025, 16(8), 1262; https://doi.org/10.3390/f16081262 - 2 Aug 2025
Viewed by 179
Abstract
Silvopastoral systems, though ecologically beneficial, remain underrepresented in the European Union’s Common Agricultural Policy and are seldom studied in Mediterranean contexts. The current study assesses both the environmental and economic aspects of five typical silvopastoral systems in central Greece, encompassing cattle, sheep, and [...] Read more.
Silvopastoral systems, though ecologically beneficial, remain underrepresented in the European Union’s Common Agricultural Policy and are seldom studied in Mediterranean contexts. The current study assesses both the environmental and economic aspects of five typical silvopastoral systems in central Greece, encompassing cattle, sheep, and goat farming. A Life Cycle Assessment approach was implemented to quantify greenhouse gas emissions using economic allocation, distributing impacts between milk and meat outputs. Enteric fermentation was the major emission source, accounting for up to 65.14% of total emissions in beef-based systems, while feeding and soil emissions were more prominent in mixed and small ruminant systems. Total farm-level emissions ranged from 60,609 to 273,579 kg CO2eq per year. Economically, only beef-integrated systems achieved an average annual profitability above EUR 20,000 per farm, based on financial data averaged over the last five years (2020–2024) from selected case studies in central Greece, while the remaining systems fell below the national poverty threshold for an average household, underscoring concerns about their economic viability. The findings underline the dual challenges of economic viability and policy neglect, stressing the need for targeted support if these multifunctional systems are to add value to EU climate goals and rural sustainability. Full article
(This article belongs to the Special Issue Forestry in the Contemporary Bioeconomy)
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14 pages, 636 KiB  
Article
Molecular Epidemiology of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Guizhou Angus Calves: Dominance of Angus Cattle-Adapted Genotypes and Zoonotic Potential of E. bieneusi
by Peixi Qin, Zhuolin Tao, Kaizhi Shi, Jiaxian Zhao, Bingyan Huang, Hui Liu, Chunqun Wang, Jigang Yin, Guan Zhu, Simone M. Cacciò and Min Hu
Microorganisms 2025, 13(8), 1735; https://doi.org/10.3390/microorganisms13081735 - 25 Jul 2025
Viewed by 310
Abstract
Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 [...] Read more.
Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 intensive beef farms (Bijie City). Nested PCR methods targeting SSU rRNA (Cryptosporidium spp.), gp60 (Cryptosporidium bovis subtyping), bg/gdh/tpi (G. duodenalis), and ITS (E. bieneusi) coupled with DNA sequencing were employed. DNA sequences were analyzed against the NCBI. database. Statistical differences were assessed via a generalized linear mixed-effects model. Cryptosporidium spp. prevalence 23.5% (192/817; 95% CI 28.1–34.6%), with C. bovis predominating 89.6% (172/192; 95% CI 84.4–93.5%) and six subtypes (XXVIa-XXVIf). Highest infection in 4–8-week-olds 29.9% (143/479; 95% CI 25.8–34.1%) (p < 0.01). G. duodenalis: 31.3% (256/817; 95% CI 28.1–34.6%) positive, overwhelmingly assemblage E 97.6% (6/256; 95% CI 0.9–5.0%), zoonotic assemblage A was marginal 0.7% (6/817; 95% CI 0.3–1.6%). Farm-level variation exceeded 10-fold (e.g., Gantang: 55.0% (55/100; 95% CI 44.7–65.0%) vs. Tieshi: 4.9% (5/102; 95% CI 1.6–11.1%). E. bieneusi: prevalence 19.7% (161/817; 95% CI 17.0–22.6%), exclusively zoonotic genotypes BEB4: 49.7% (80/161; 95% CI 41.7–57.7%); I: 40.4% (65/161; 95% CI 32.7–48.4%). Strong diarrhea association (p < 0.01) and site-specific patterns (e.g., Guanyindong: 39.2%). While Giardia exhibited the highest prevalence (31.3%) with minimal zoonotic risk, Enterocytozoon—despite lower prevalence (19.7%)—posed the greatest public health threat due to exclusive circulation of human-pathogenic genotypes (BEB4/I) and significant diarrhea association, highlighting divergent control priorities for these enteric parasites in Guizhou calves. Management/Public health impact: Dominant zoonotic E. bieneusi genotypes (BEB4/I) necessitate: 1. Targeted treatment of 4–8-week-old Angus calves. 2. Manure biofermentation (≥55 °C, 3 days), and 3. UV-disinfection (≥1 mJ/cm2) for karst water to disrupt transmission in this high-humidity region. Full article
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14 pages, 1632 KiB  
Article
Is the Mineral Content of Muscle Tissue (Longissimus Lumborum) in Cattle Finished During the Rainy Season in the Eastern Amazon Influenced by Different Farming Systems?
by Ana Paula Damasceno Ferreira, Jamile Andréa Rodrigues da Silva, Miguel Pedro Mourato, José António Mestre Prates, Thomaz Cyro Guimarães de Carvalho Rodrigues, André Guimarães Maciel e Silva, Andrea Viana da Cruz, Adriny dos Santos Miranda Lobato, Welligton Conceição da Silva, Elton Alex Corrêa da Silva, Antônio Marcos Quadros Cunha, Vanessa Vieira Lourenço-Costa, Éder Bruno Rebelo da Silva, Tatiane Silva Belo and José de Brito Lourenço-Júnior
Animals 2025, 15(15), 2186; https://doi.org/10.3390/ani15152186 - 25 Jul 2025
Viewed by 277
Abstract
The scientific literature currently lacks studies that evaluate the nutritional composition of the tissues of cattle raised in different systems, so that the nutritional effects can be known and used to enhance consumption and use in the diet. The aim was therefore to [...] Read more.
The scientific literature currently lacks studies that evaluate the nutritional composition of the tissues of cattle raised in different systems, so that the nutritional effects can be known and used to enhance consumption and use in the diet. The aim was therefore to assess whether the mineral content of muscle tissue (longissimus lumborum) in cattle finished during the rainy season in the Eastern Amazon is influenced by different farming systems. The treatments consisted of four systems (three pasture production systems and one feedlot system). 1. native wetland pasture in Santa Cruz do Arari (Mesoregion of Marajó); 2. native wetland pasture in Monte Alegre (Mesoregion of Baixo Amazonas); 3. cultivated dryland pasture in São Miguel do Guamá (Mesoregion of Nordeste Paraense); and 4. Confinement in Santa Izabel do Pará (Metropolitan Region of Belém). The analyses were carried out on samples of the longissimus lumborum muscle tissue of 48 male, castrated, crossbred Nelore cattle, twelve per breeding system, from commercial farms, destined for meat production, finished during the rainiest period of the year (between January and June). In systems 1 and 2, the animals were slaughtered in licensed slaughterhouses; the animals in systems 3 and 4 were slaughtered in commercial slaughterhouses. Food sampling and chemical analysis, soil sample collection and analysis, longissimus lumborum muscle tissue collection, sample preparation and digestion, and inductively coupled plasma optical emission spectrometry were evaluated. The experimental design was completely randomized in a linear model with four rearing systems and one period (rainy). The data was compared using the Statistical Analysis Systems (SAS) program. All analyses were carried out considering a significance level of 0.05. Samples of the diets offered (pasture and concentrate) were also collected. The Amazon systems influenced the macro- and micromineral content in the muscles of cattle (p < 0.05). The interaction between pasture systems vs. confinement showed differences in the minerals calcium (Ca), magnesium (Mg), phosphorus (P), copper (Cu), zinc (Zn), iron (Fe), and manganese (Mn) (p < 0.05). However, there was no difference in the values of sodium (Na), potassium (K), and sulfur (S) between the rearing systems (p > 0.05). By contrast, the cultivated pasture system vs. extensive pasture showed differences in all the elements evaluated (p < 0.05). The rearing systems of the Eastern Amazon influenced the mineral content of beef, which continues to be an excellent source of macro- and microminerals and can compose the human diet. Full article
(This article belongs to the Section Cattle)
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20 pages, 1429 KiB  
Article
Beef Breeding Systems and Preferences for Breeding Objective Traits
by Zuzana Krupová, Emil Krupa, Michaela Brzáková, Zdeňka Veselá and Kamil Malát
Animals 2025, 15(15), 2175; https://doi.org/10.3390/ani15152175 - 23 Jul 2025
Viewed by 201
Abstract
Our study aimed to identify the overall and cluster-specific characteristics of Czech beef cattle breeding systems. We used data from an online survey to ascertain farmers’ preferences in breeding objectives. Considering various evaluation criteria and clustering approaches in 41 farms, three beef systems [...] Read more.
Our study aimed to identify the overall and cluster-specific characteristics of Czech beef cattle breeding systems. We used data from an online survey to ascertain farmers’ preferences in breeding objectives. Considering various evaluation criteria and clustering approaches in 41 farms, three beef systems were defined according to herd size, management, marketing, breeding strategies and structures, and farmer age. Breeding values and performance were jointly used as the primary information in all three systems. Cow temperament and calf viability, maternal fertility and longevity, and animal health were found to be the most important traits. Cluster 1 represents pure-breeding farms that specialize in producing breeding animals. Farms in clusters 2 and 3 combined pure- and crossbreeding strategies with production, which was partially (cluster 2) and fully (cluster 3) diversified for all beef categories. Farms also prioritized calving performance and calf growth (clusters 1 and 2) and exterior traits (cluster 3). Production type scores significantly (p < 0.05) differed in clusters 3 (4.12) and 2 (3.25). The proportion of production, functional, and exterior trait categories was 12:37:51, with low variability among clusters (±1 to 2 percentage points). The inter-cluster comparison showed that specific characteristics were compatible with certain breeding goal trait preferences. Full article
(This article belongs to the Special Issue Advances in Cattle Genetics and Breeding)
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24 pages, 348 KiB  
Review
Knowledge Gaps in the Nutrient Requirements of Beef Cattle
by Michael L. Galyean, Karen A. Beauchemin, Joel S. Caton, N. Andy Cole, Joan H. Eisemann, Terry E. Engle, Galen E. Erickson, Clint R. Krehbiel, Ronald P. Lemenager and Luis O. Tedeschi
Ruminants 2025, 5(3), 29; https://doi.org/10.3390/ruminants5030029 - 29 Jun 2025
Viewed by 648
Abstract
The 8th revised edition of the Nutrient Requirements of Beef Cattle was released in 2016, with the recommendations provided in the publication being used extensively in both research and production settings. In the context of research needs identified in that publication, our objective [...] Read more.
The 8th revised edition of the Nutrient Requirements of Beef Cattle was released in 2016, with the recommendations provided in the publication being used extensively in both research and production settings. In the context of research needs identified in that publication, our objective was to review research on beef cattle nutrient requirements published since 2016 and identify knowledge gaps that should be addressed. Relative to energy requirements, the effects of environmental temperature and grazing activity, along with stress and disease, on maintenance requirements are inadequately characterized or defined. In addition, relationships between retained energy and protein should be more fully elucidated, and additional guidance on body weight at a target compositional endpoint is needed. Areas of continuing concern include accurately and precisely predicting microbial protein supply, predicting N recycling, and the metabolizable protein requirements for maintenance. Mineral and vitamin requirements are often challenging because of a lack of consistency in models used to determine requirements and potential effects of unique production settings on requirements. Based on recent research with feedlot cattle, zinc and chromium requirements should be examined more closely. Because predictions of dry matter intake are critical to supplying nutrients, additional development of prediction equations is needed, especially for beef cows and grazing beef cattle in general. Given considerable research in prediction of greenhouse gases, reevaluation of 2016 recommendations is warranted, along with a need for the updating of equations to predict excretions of N and P. Composition of feeds, particularly byproducts from ethanol production or other industrial streams, represents a knowledge gap, with obtaining reliable energy values of these feeds being a notable challenge. Nutritional models provide the means to integrate nutrient requirement recommendations into practice, and moving towards mechanistic models that take advantage of artificial intelligence and precision livestock farming technologies will be critical to developing future modeling systems. Full article
22 pages, 3981 KiB  
Article
Individual Recognition of a Group Beef Cattle Based on Improved YOLO v5
by Ziruo Li, Yadan Zhang, Xi Kang, Tianci Mao, Yanbin Li and Gang Liu
Agriculture 2025, 15(13), 1391; https://doi.org/10.3390/agriculture15131391 - 28 Jun 2025
Cited by 1 | Viewed by 376
Abstract
Deep learning-based individual recognition of beef cattle has improved the efficiency and effectiveness of individual recognition, providing technical support for modern large-scale farms. However, issues such as over-reliance on back patterns, similar patterns of adjacent cattle leading to low recognition accuracy, and difficulties [...] Read more.
Deep learning-based individual recognition of beef cattle has improved the efficiency and effectiveness of individual recognition, providing technical support for modern large-scale farms. However, issues such as over-reliance on back patterns, similar patterns of adjacent cattle leading to low recognition accuracy, and difficulties in deploying models on edge devices exist in the process of group cattle recognition. In this study, we proposed a model based on improved YOLO v5. Specifically, a Simple, Parameter-Free (SimAM) attention module is connected with the residual network and Multidimensional Collaborative Attention mechanism (MCA) to obtain the MCA-SimAM-Resnet (MRS-ATT) module, enhancing the model’s feature extraction and expression capabilities. Then, the LMPDIoU loss function is used to improve the localization accuracy of bounding boxes during target detection. Finally, structural pruning is applied to the model to achieve a lightweight version of the improved YOLO v5. Using 211 test images, the improved YOLO v5 model achieved an individual recognition precision (P) of 93.2%, recall (R) of 94.6%, mean Average Precision (mAP) of 94.5%, FLOPs of 7.84, 13.22 M parameters, and an average inference speed of 0.0746 s. The improved YOLO v5 model can accurately and quickly identify individuals within groups of cattle, with fewer parameters, making it easy to deploy on edge devices, thereby accelerating the development of intelligent cattle farming. Full article
(This article belongs to the Special Issue Computer Vision Analysis Applied to Farm Animals)
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23 pages, 1900 KiB  
Article
Application of a Dynamic Exposure Population Toxicokinetic Model for Perfluorooctane Sulfonic Acid (PFOS) and Extension to Perfluorodecanoic Acid (PFDA) at a North American Beef Cattle Farm with a History of Biosolids Land Application
by Barbara A. Astmann, Antti T. Mikkonen, Thomas L. Simones, Meghan Flanagan, Duncan Pfaehler, Ivan Lenov and Andrew E. Smith
Toxics 2025, 13(7), 541; https://doi.org/10.3390/toxics13070541 - 27 Jun 2025
Viewed by 737
Abstract
Historical application of wastewater treatment sludge (biosolids) has introduced per- and polyfluoroalkyl substances (PFAS) into agricultural systems and led to contamination of crops and livestock. Previous work validated a dynamic exposure and population toxicokinetic (DE_PopTK) modeling approach for estimating perfluorooctane sulfonic acid (PFOS) [...] Read more.
Historical application of wastewater treatment sludge (biosolids) has introduced per- and polyfluoroalkyl substances (PFAS) into agricultural systems and led to contamination of crops and livestock. Previous work validated a dynamic exposure and population toxicokinetic (DE_PopTK) modeling approach for estimating perfluorooctane sulfonic acid (PFOS) and perfluorohexane sulfonic acid (PFHxS) concentrations in cattle tissues at sites primarily dominated by water contamination. This work expands the efforts to validate the DE_PopTK model at a self-contained beef farm in Maine with PFAS exposures from feed grown on site where soil is contaminated from historical biosolids applications. The model is also extended to estimate perfluorodecanoic acid (PFDA) exposure and tissue levels. Farm-specific data were obtained to consider farm management practices, spatial variation of PFAS in soil, animal growth, and seasonal and annual variability in estimating daily exposures based on water, feed, and soil intake. A dynamic exposure pattern was observed as cattle accumulated PFAS while consuming feed grown on contaminated land and eliminated it while grazing on non-contaminated pastures. Model-estimated PFOS and PFDA levels in serum and muscle were in good agreement with biomonitoring data collected at the farm over a four-year period to reflect periods of accumulation and depuration, with the percentage error ranging from 16% to 73% when comparing modeled and measured data. Our findings demonstrated that understanding farm exposures and collecting site-specific data were integral to model performance. The model was applied to simulate management strategies and complement economic analyses to demonstrate that, with modifications to management practices, it is feasible for the farm to achieve lower PFOS and PFDA levels in beef and maintain economic viability despite elevated PFAS soil levels. Full article
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19 pages, 3218 KiB  
Article
Analysis of Pig Tendencies to Stay Specific Sections Within the Pig Barn According to Environmental Parameters and Facilities Features
by Dae Yeong Kang, Byeong Eun Moon, Myeong Yong Kang, Jung Hoo Kook, Nibas Chandra Deb, Niraj Tamrakar, Elanchezhian Arulmozhi and Hyeon Tae Kim
Agriculture 2025, 15(12), 1282; https://doi.org/10.3390/agriculture15121282 - 13 Jun 2025
Viewed by 363
Abstract
Pork accounts for 34% of global meat consumption, following poultry and beef. Intensive pig farming has expanded to meet increasing demand, but space constraints and poor environmental conditions can negatively affect pig welfare. This study aimed to investigate pigs’ spatial preferences in response [...] Read more.
Pork accounts for 34% of global meat consumption, following poultry and beef. Intensive pig farming has expanded to meet increasing demand, but space constraints and poor environmental conditions can negatively affect pig welfare. This study aimed to investigate pigs’ spatial preferences in response to environmental factors in an experimental pig barn. Six 60-day-old Yorkshire pigs were observed for 60 days. Indoor temperature (IT), relative humidity (IRH), and CO2 concentration (ICO2) were measured hourly, and pig positions were recorded using an RGB 2D-IP camera. Pearson correlation analysis was performed using SPSS. IT ranged from 14.3 °C to 25.1 °C, IRH from 78.9% to 96.5%, and ICO2 from 1038 to 1850 ppm. A strong negative correlation was found between IT and IRH (r = −0.89), while IT and ICO2 were uncorrelated (r = −0.01). Pigs showed a clear preference for sections with lower IT, supporting previous findings on thermal preference. Structural features, such as two-wall enclosures, also influenced stay frequency. These results suggest that optimizing barn structure and improving ventilation and manure management can support thermal comfort and improve welfare in intensive pig farming systems. Full article
(This article belongs to the Section Artificial Intelligence and Digital Agriculture)
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16 pages, 1106 KiB  
Article
Investigation of Infection of Enterocytozoon bieneusi and Giardia duodenalis in Beef Cattle in Yunnan, China
by Fan Yang, Wenjie Cheng, Jianfa Yang, Junjun He, Liujia Li, Fengcai Zou and Fanfan Shu
Vet. Sci. 2025, 12(6), 552; https://doi.org/10.3390/vetsci12060552 - 5 Jun 2025
Viewed by 618
Abstract
Enterocytozoon bieneusi and Giardia duodenalis are major zoonotic pathogens that often cause diarrhea in immunocompromised humans or animals. Beef cattle are important reservoirs for these two pathogens. Yunnan Province is a major region for beef cattle farming, and its suitable climatic conditions facilitate [...] Read more.
Enterocytozoon bieneusi and Giardia duodenalis are major zoonotic pathogens that often cause diarrhea in immunocompromised humans or animals. Beef cattle are important reservoirs for these two pathogens. Yunnan Province is a major region for beef cattle farming, and its suitable climatic conditions facilitate the transmission of the pathogens. However, research on the prevalence and distribution of E. bieneusi and G. duodenalis in beef cattle in Yunnan remains understudied. This study collected 529 fecal samples from seven beef cattle breeds in four regions in Yunnan Province for an epidemiological survey. Nested PCR combined with sequencing was used to detect E. bieneusi and G. duodenalis, and the sequencing results were analyzed to determine genotypes or assemblage types. Our results demonstrate that the prevalence rates of E. bieneusi and G. duodenalis were 3.0% (16/529) and 3.6% (19/529), respectively. The study identified four genotypes of E. bieneusi, including I (n = 8), J (n = 4), BEB8 (n = 3), and BEB4 (n = 1). Both assemblages E (n = 18) and A (n = 1) were identified among G. duodenalis-positive animals. Phylogenetic analysis revealed that the E. bieneusi genotypes detected in this study belong to Group 2. In conclusion, these findings indicate that although the overall prevalence is relatively low compared to other regions, the presence of zoonotic Group 2 genotypes and assemblage A highlights the potential risk of cross-species transmission. Moreover, the results provide foundational data to support the development of region-specific surveillance and control strategies for bovine giardiasis and microsporidiosis, and emphasize the importance of the One Health approach in managing parasitic infections in livestock populations. Full article
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10 pages, 2975 KiB  
Article
Differential Distribution of Trypanosoma vivax and Trypanosoma theileri in Cattle from Distinct Agroecological Regions of Central Argentina
by Maria Celeste Facelli Fernández, Johann Barolin, Martin Allassia, Javier Hernan Gonzalez, Pablo Martin Beldomenico and Lucas Daniel Monje
Parasitologia 2025, 5(2), 27; https://doi.org/10.3390/parasitologia5020027 - 5 Jun 2025
Viewed by 538
Abstract
Bovine trypanosomiasis, caused by Trypanosoma vivax, affects livestock productivity and is increasingly being reported in South America. This study aimed to detect and characterize Trypanosoma spp. infections, with a focus on T. vivax, in cattle from two distinct agroecological regions of [...] Read more.
Bovine trypanosomiasis, caused by Trypanosoma vivax, affects livestock productivity and is increasingly being reported in South America. This study aimed to detect and characterize Trypanosoma spp. infections, with a focus on T. vivax, in cattle from two distinct agroecological regions of central Argentina: a dairy-producing plain, located in the Espinal ecoregion, and a riparian zone, dedicated to beef production, located in the Delta and Islands of Paraná ecoregion. A total of 220 blood samples were collected from nine cattle farms and analyzed using real-time PCR, melting curve analysis, and the sequencing of 18S rRNA gene fragments. Trypanosoma vivax was detected at low prevalence (2.73%), exclusively in dairy cattle. In contrast, the prevalence of Trypanosoma theileri was much higher (10.91%), and it was found mainly in beef cattle from the riparian region. Phylogenetic analyses confirmed the species identity in all sequenced samples. No trypanosomes were observed by microscopy, and none of the animals showed clinical signs. The results indicate a differential distribution of T. vivax and T. theileri between regions and production systems. Although the study initially focused on T. vivax, the detection of T. theileri highlights the need to consider multiple Trypanosoma species in epidemiological surveys. This study contributes new data on the occurrence of bovine trypanosomes in central Argentina under extensive and semi-intensive management systems. Full article
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20 pages, 520 KiB  
Review
Towards an Application of the Life Cycle Assessment Framework for GHG Emissions of the Dairy System: A Literature Review
by Fern T. Baker and Stephen Axon
Land 2025, 14(6), 1207; https://doi.org/10.3390/land14061207 - 4 Jun 2025
Cited by 1 | Viewed by 730
Abstract
Farm simulation models are a popular form of measuring greenhouse gas emissions (GHGe) from the agricultural industry as they are holistic and cost effective. The simulation models often follow the well-accepted life cycle assessment (LCA) framework to estimate the GHGe from the complete [...] Read more.
Farm simulation models are a popular form of measuring greenhouse gas emissions (GHGe) from the agricultural industry as they are holistic and cost effective. The simulation models often follow the well-accepted life cycle assessment (LCA) framework to estimate the GHGe from the complete system from cradle to farm-gate. However, several studies have highlighted flaws in the methodology and accuracy of the application of the LCA tool, underestimating emissions based on the scope of the study. GHGe vary considerably across livestock species, with cattle contributing to the highest proportion, from dairy and beef production. An extensive literature review evaluating the application of the LCA tool for measuring and comparing dairy farm GHGe has not been conducted. The current review evaluates the literature on LCAs of the dairy system across the globe, to highlight the flaws in poor scope design, the potential to underestimate emissions, and significant trade-offs disregarding vital variables. Full article
(This article belongs to the Section Land Use, Impact Assessment and Sustainability)
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14 pages, 325 KiB  
Article
Decision-Making Regarding On-Farm Culling Methods for Dairy Cows Related to Cow Welfare, Sustainable Beef Production, and Farm Economics
by Mariska Barten, Yvette de Geus, Joop den Hartog and Len Lipman
Animals 2025, 15(11), 1651; https://doi.org/10.3390/ani15111651 - 3 Jun 2025
Viewed by 474
Abstract
In the Netherlands, around 52,000 dairy cows die on the primary farm each year due to natural death, euthanasia, or on-farm emergency slaughter (OFES). The decision as to what is the best option is made by the farmer, often after consulting a veterinarian, [...] Read more.
In the Netherlands, around 52,000 dairy cows die on the primary farm each year due to natural death, euthanasia, or on-farm emergency slaughter (OFES). The decision as to what is the best option is made by the farmer, often after consulting a veterinarian, a livestock trader, or a slaughterhouse operator. To determine which factors play a role in this decision-making process, semi-structured interviews were conducted with dairy farmers, private veterinary practitioners, livestock traders, and slaughterhouse operators in the Netherlands. Dairy cattle culling decisions are influenced and limited by strict enforcement of livestock transport regulations and limited options for on-farm killing methods. Requirements regarding mortality rates imposed by the dairy industry and private quality labels for raw milk also influence culling decisions in the Netherlands. Most participants stated that restrictive conditions regarding OFES and mobile slaughterhouses (MSHs) appear to have (unintended) negative effects on cow welfare and meat salvage in general. Different interests, such as cow welfare, food safety, economic concerns of various stakeholders, the reputational interests of the dairy and beef industries, and sustainability objectives such as meat salvage can be conflictive. The results of this study show that the decision-making process regarding culling or (prolonged) veterinary treatment of dairy cattle is complex because various factors, interests, and uncertainties must be weighed. This weighing can vary between individual dairy farms and individual dairy farmers. Full article
(This article belongs to the Section Animal Welfare)
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17 pages, 577 KiB  
Article
Economic Performance and Meat Quality Traits of Extensively Reared Beef Cattle in Greece
by Vasiliki Papanikolopoulou, Stella Dokou, Anestis Tsitsos, Stergios Priskas, Sotiria Vouraki, Angeliki Argyriadou and Georgios Arsenos
Animals 2025, 15(11), 1601; https://doi.org/10.3390/ani15111601 - 29 May 2025
Viewed by 480
Abstract
Extensive cattle farming significantly contributes to Greece’s agricultural economy. In such systems, animals mainly graze on natural grasslands whose biodiversity significantly affects meat quality traits. In Greece, the sector faces several economic challenges, while the literature investigating beef quality produced by these systems [...] Read more.
Extensive cattle farming significantly contributes to Greece’s agricultural economy. In such systems, animals mainly graze on natural grasslands whose biodiversity significantly affects meat quality traits. In Greece, the sector faces several economic challenges, while the literature investigating beef quality produced by these systems is scarce. Hence, this study aimed to (i) evaluate farms’ economic performance; (ii) assess meat quality; and (iii) investigate the presence of heavy metals in liver samples of extensively reared beef cattle. The study involved three farms located in the Axios River Delta, a protected area of significant ecological importance in Northern Greece. A designated questionnaire was used to collect farm technical (herd size, meat production, grazing, feeding, reproduction, animal health) and economic data (income, variable costs). Meat samples of the Longissimus dorsi muscle (ninth rib) from 54 carcasses were collected and subjected to physicochemical (color, pH, texture, chemical composition, fatty acid profile) and microbiological analyses. Additionally, heavy metal analysis was conducted on 14 liver samples. A comparative analysis using parametric and non-parametric tests was performed to assess differences in meat quality traits between the 1st and 15th days of storage. The economic analysis showed that all studied farms operated with losses, with the average gross margin excluding subsidies being negative at EUR 130.5 ± 92.60/year per animal. Beef exhibited low fat content (1.1 ± 1.12%), with an average pH24 value of 5.5 ± 0.36, respectively. The concentrations of polyunsaturated, monounsaturated, and saturated fatty acids were 2.7 ± 0.72%, 44.6 ± 4.71%, and 47.3 ± 4.91%, respectively. Over the 15-day storage period, the yellowness (b*) value (p < 0.01), hue angle (p < 0.001), cohesiveness (p < 0.01), and springiness (p < 0.01) significantly decreased, while the lightness (L*) value significantly increased (p < 0.01). The mean Total Mesophilic Viable Counts and Total Enterobacterales were 5.0 log10 CFU/g and 2.34 log10 CFU/g, respectively, while heavy metal concentrations in bovine livers were below the maximum limits set by the European Commission. The results suggest that, despite the financial losses observed, beef’s improved color parameters during storage, along with other favorable quality traits, highlight the potential of extensive cattle farming to meet consumer demand and support value-added marketing. Full article
(This article belongs to the Section Cattle)
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14 pages, 1003 KiB  
Article
Health and Growth Performance During the Pre-Weaning Phase of Angus × Holstein Crossbred and Holstein Calves Managed Under the Same Conditions
by Michail Sabino Moroz, Camila Cecilia Martin and Ruan Rolnei Daros
Dairy 2025, 6(3), 20; https://doi.org/10.3390/dairy6030020 - 27 Apr 2025
Viewed by 887
Abstract
There are few studies on how dairy × beef crossbred calves perform during the pre-weaning phase compared to dairy calves. This observational study evaluated birth weight, average daily gain (ADG), and disease occurrence in Angus × Holstein (Ang × Hol) crossbred and Holstein [...] Read more.
There are few studies on how dairy × beef crossbred calves perform during the pre-weaning phase compared to dairy calves. This observational study evaluated birth weight, average daily gain (ADG), and disease occurrence in Angus × Holstein (Ang × Hol) crossbred and Holstein calves reared under the same conditions on a commercial dairy farm. Retrospective data from 379 calves (290 Holstein females; 89 Ang × Hol crossbreds: 46 males, 43 females) born between January 2022 and August 2023 were analyzed. Variables included dam parity, calving type, birth weight, colostrum Brix levels, serum total protein (STP), mortality, disease occurrence, ADG, and weaning weight. Statistical analysis used linear and logistic regression models. Ang × Hol male calves had higher odds of assisted calving. Male and female Ang × Hol calves had greater birth weights than Holstein calves, with males being the heaviest. No differences in STP were observed. Ang × Hol calves (both sexes) showed higher ADG than Holsteins but did not differ from each other. Holstein calves had higher odds of diarrhea (OR: 2.95, 95% CI: 1.63–5.35), while Bovine Respiratory Disease (BRD) incidence was similar across groups. Overall, Ang × Hol crossbred calves demonstrated superior growth and lower diarrhea risk under the same management conditions. Full article
(This article belongs to the Section Dairy Animal Health)
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17 pages, 1693 KiB  
Review
Host Immune Response to Bovine Viral Diarrhea Virus (BVDV): Insights and Strategies for Effective Vaccine Design
by Asamenew Tesfaye Melkamsew, Tesfaye Sisay Tessema and Jan Paeshuyse
Vaccines 2025, 13(5), 456; https://doi.org/10.3390/vaccines13050456 - 25 Apr 2025
Viewed by 1445
Abstract
Bovine viral diarrhea (BVD) is caused by bovine viral diarrhea virus (BVDV), a member of the genus Pestivirus and in the family Flaviviridae. According to some studies, the disease incurs USD 1.5–2.5 billion per year and USD 0.50 to USD 687.80 per cow [...] Read more.
Bovine viral diarrhea (BVD) is caused by bovine viral diarrhea virus (BVDV), a member of the genus Pestivirus and in the family Flaviviridae. According to some studies, the disease incurs USD 1.5–2.5 billion per year and USD 0.50 to USD 687.80 per cow loss in beef and dairy farms, respectively. Using vaccines is among the strategies to prevent the disease. However, complete protection requires vaccines that target both the humoral and cellular immune responses of the adaptive immune system. A comprehensive literature review was made to provide insights into the interaction of BVDV with host immunity, vaccine applications, and the limitation of the currently available vaccines, as well as explore strategies used to advance the vaccines. BVDV causes immunosuppression by interfering with the innate and adaptive immune systems in a manner that is species and biotype-dependent. Interferon production, apoptosis, neutrophil activity, and antigen-processing and presenting cells are significantly affected during the viral infection. Despite maternal antibodies (MatAbs) being crucial to protect calves from early-age infection, a higher level of MatAbs are counterproductive during the immunization of calves. There are numerous inactivated or modified BVDV vaccines, most of which are made of cytopathic BVDV 1 and 2 and the BVDV 1a subgenotypes. Furthermore, subunit, marker, DNA and mRNA vaccines are made predominantly from E2, Erns, and NS3 proteins of the virus in combination with modern adjuvants, although the vaccines have not yet been licensed for use and are in the experimental stage. The existing BVDV vaccines target the humoral immune system, which never gives the full picture of protection without the involvement of the cell-mediated immune system. Several limitations were associated with conventional and next-generation vaccines that reduce BVDV vaccine efficiency. In general, providing complete protection against BVDV is very complex, which requires a multi-pronged approach to study factors affecting vaccine efficacy and strategies needed to improve vaccine efficacy and safety. Full article
(This article belongs to the Special Issue Vaccines and Antibody-Based Therapeutics Against Infectious Disease)
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