Cattle Industry Research Articles

Automated Livestock Practices: Incorporation Emerging Contemporary Technologies Toward Sustainable Livestock in Era of Smart Cities

Currently, numerous spheres now face a wider range of needs due to the increasingly competitive and globalized global market. Moreover, digital technologies are necessary for analysis and comprehension in many sectors of contemporary society. For instance, Internet of Things (IoT) has the potential to revolutionize livestock management, including the dairy cattle industry, by providing real-time data and enabling data-driven decisions to improve animal welfare, increase productivity, and promote sustainable farming practices. The main components of IoT-enabled livestock management include sensors, communication systems, data storage, and analysis systems. These components of IoT-enabled livestock management improve animal welfare, increase productivity, and reduce environmental impact. As well as promoting sustainable farming practices through using of precision farming methods, early illness detection, prevention, and improved animal reproduction and breeding. Given the importance of leveraging IoT in livestock, this study examines and categorizes IoTs’ applications based on their functionalities and objectives. Thus, this process has been conducted by identifying criteria or factors that are important for evaluating the effectiveness of IoT applications. To serve the study’s objectives, we are harnessing various techniques. Firstly, we are modeling the identified IoTs applications’ criteria into levels that encompass a set of nodes by utilizing Tree Soft Technique (TrST). Secondly, Multi-Criteria Decision Making (MCDM) techniques are utilized for certain roles as criteria importance through inter-criteria correlation (CRITIC) for analyzing identified criteria and determining weights for them. These weights are leveraged in another technique of MCDM in this study for ranking IoT applications entailed in TOmada de Decisao Interativa Multicriterio (TODIM). The utilized techniques operate within the sovereignty of neutrosophic theory for supporting these techniques in uncertain situations and when treated with incomplete data.

Investigation of the Optimal Immunization Dose and Protective Efficacy of an Attenuated and Marker M. bovis-Bovine Herpesvirus Type 1 Combined Vaccine in Rabbits.

Bovine respiratory disease (BRD) is one of the most common diseases in the cattle industry; it is a globally prevalent multifactorial infection primarily caused by viral and bacterial coinfections. In China, Mycoplasma bovis (M. bovis) and bovine herpesvirus type 1 (BoHV-1) are the most notable pathogens associated with BRD. Our previous study attempted to combine the two vaccines and conducted a preliminary investigation of their optimal antigenic ratios. Based on this premise, the research extended its investigation by administering varying vaccine doses in a rabbit model to identify the most effective immunization dosage. After immunization, all rabbits in other immunization dose groups had a normal rectal temperature without obvious clinical symptoms. Furthermore, assays performed on the samples collected from immunized rabbits indicated that there were increased humoral and cellular immunological reactions. Moreover, the histological analysis of the lungs showed that immunized rabbits had more intact lung tissue than their unimmunized counterparts after the challenge. Additionally, there appears to be a positive correlation between the protective efficacy and the immunization dose. In conclusion, the different immunization doses of the attenuated and marker M. bovis HB150 and BoHV-1 gG-/tk- combined vaccine were clinically safe in rabbits; the mix of 2.0 × 108 CFU of M. bovis HB150 and 2.0 × 106 TCID50 BoHV-1 gG-/tk- strain was most promising due to its highest humoral and cellular immune responses and a more complete morphology of the lung tissue compared with others. These findings determined the optimal immunization dose of the attenuated and marker M. bovis HB150 and BoHV-1 gG-/tk- combined vaccine, laying a foundation for its clinical application.

Comparative pangenomic analysis of Campylobacter fetus isolated from Spanish bulls and other mammalian species

Campylobacter fetus comprises two closely related mammal-associated subspecies: Campylobacter fetus subsp. fetus (Cff) and Campylobacter fetus subsp. venerealis (Cfv). The latter causes bovine genital campylobacteriosis, a sexually-transmitted disease endemic in Spain that results in significant economic losses in the cattle industry. Here, 33 C. fetus Spanish isolates were whole-genome sequenced and compared with 62 publicly available C. fetus genomes from other countries. Genome-based taxonomic identification revealed high concordance with in silico PCR, confirming Spanish isolates as Cff (n = 4), Cfv (n = 9) and Cfv biovar intermedius (Cfvi, n = 20). MLST analysis assigned the Spanish isolates to 6 STs, including three novel: ST-76 and ST-77 for Cfv and ST-78 for Cff. Core genome SNP phylogenetic analysis of the 95 genomes identified multiple clusters, revealing associations at subspecies and biovar level between genomes with the same ST and separating the Cfvi genomes from Spain and other countries. A genome-wide association study identified pqqL as a Cfv-specific gene and a potential candidate for more accurate identification methods. Functionality analysis revealed variations in the accessory genome of C. fetus subspecies and biovars that deserve further studies. These results provide valuable information about the regional variants of C. fetus present in Spain and the genetic diversity and predicted functionality of the different subspecies.

Strategies for Bovine Respiratory Disease (BRD) Diagnosis and Prognosis: A Comprehensive Overview.

Despite significant advances in vaccination strategies and antibiotic therapy, bovine respiratory disease (BRD) continues to be the leading disease affecting the global cattle industry. The etiology of BRD is complex, often involving multiple microbial agents, which lead to intricate interactions between the host immune system and pathogens during various beef production stages. These interactions present environmental, social, and geographical challenges. Accurate diagnosis is essential for effective disease management. Nevertheless, correct identification of BRD cases remains a daunting challenge for animal health technicians in feedlots. In response to current regulations, there is a growing interest in refining clinical diagnoses of BRD to curb the overuse of antimicrobials. This shift marks a pivotal first step toward establishing a structured diagnostic framework for this disease. This review article provides an update on recent developments and future perspectives in clinical diagnostics and prognostic techniques for BRD, assessing their benefits and limitations. The methods discussed include the evaluation of clinical signs and animal behavior, biomarker analysis, molecular diagnostics, ultrasound imaging, and prognostic modeling. While some techniques show promise as standalone diagnostics, it is likely that a multifaceted approach-leveraging a combination of these methods-will yield the most accurate diagnosis of BRD.

Sri Lankan Contribution to Climate Change by Enteric Fermentation of Large Ruminants: An Overview


 
 
 The Sri Lankan livestock sector (LS) which is essential to rural households' food systems and means of subsistence, contributed to 0.6% of the GDP in 2020. The cattle industry has contributed <40% to the LS. The objective of the review was to determine how Sri Lankan LS, especially ruminants contributed to climate change (CC) by emitting greenhouse gasses (GHG). In the year 2020, in total there were 1 426 570 cattle, including neat cattle and buffaloes. Sri Lanka has experienced various impacts of CC as it is a tropical island in the Indian Ocean. The cattle industry is involved in CC directly and indirectly. Global warming (GW) is a predominant factor in CC. The emission of GHG in different ways is a root cause of GW. As a GHG, 17% of methane emissions in the atmosphere are accounted by the enteric fermentation of ruminants, especially by the large ruminants; cattle, and buffaloes. It is a complex process that occurs within the fore stomach (rumen) of ruminants where gases are released outside via a process called eructation. As a GHG, methane (CH4) contributes to GW 28 times higher than carbon dioxide produced in large ruminants by enteric fermentation. In Sri Lanka, the majority of the local indigenous cattle and buffaloes are used to eat low-quality grasses, straws, and other roughage which significantly increases the emission of CH4. A past study revealed that the CH4 emission factor estimated according to the IPCC (2006) Tier 2 methodology for an improved dairy cattle is 42 kg /head /year while a local dairy cow is 52 kg /head /year and 65 kg /head /year for dairy buffalo in Sri Lanka and the values are lower compared to default emission factors given by the IPCC (2006). The expected temperature rise in Sri Lanka, which would be primarily caused by GHG, will be slightly less than the average worldwide. However, the highest emission scenario predicts a 2.9o C–3.5o C increase in temperature by the 2090s. Therefore, instead of focusing solely on production, it is important to investigate measures to minimize GHG emitted by large ruminants under local management conditions.
 Keyword: Climate change, Enteric fermentation, Livestock, Methane
 
 

Antigenic commonality and divergence of hemagglutinin-esterase-fusion protein among influenza D virus lineages revealed using epitope mapping.

Influenza D virus (IDV) is one of the causative agents of bovine respiratory disease complex, which is the most common and economically burdensome disease affecting the cattle industry, and the need for an IDV vaccine has been proposed to enhance disease control. IDVs are classified into five genetic lineages based on the coding sequences of the hemagglutinin-esterase-fusion (HEF) protein, an envelope glycoprotein, which is the main target of protective antibodies against IDV infection. Herein, we prepared a panel of monoclonal antibodies (mAbs) against the HEF protein of viruses of various lineages to investigate the antigenic characteristics of IDVs and found that the mAbs could be largely separated into three groups. The first, second, and third groups demonstrated lineage-specific reactivity, cross-reactivity to viruses of multiple but not all lineages, and cross-reactivity to viruses of all lineages, respectively. Analyzing the escape mutant viruses from virus-neutralizing mAbs revealed that the receptor-binding region of the HEF molecule harbors virus-neutralizing epitopes that are conserved across multiple lineage viruses. In contrast, the apex region of the molecule possessed epitopes unique to each lineage virus. Furthermore, reverse genetics-generated recombinant viruses with point mutations revealed that amino acids within positions 210-214 of the HEF protein determined the antigenic specificity of each lineage virus. Taken together, this study reveals considerable antigenic variation among IDV lineages, although they are presumed to form a single serotype in terms of HEF antigenicity. Characterization of the antigenic epitope structure of HEF may contribute to selecting and creating effective vaccine viruses against IDV.IMPORTANCEInfluenza D viruses (IDVs) are suggested to create cross-reactive single serotypes in hemagglutinin-esterase-fusion (HEF) antigenicity, as indicated by serological analyses among distinct HEF lineage viruses. This is supported by the high identities of HEF gene sequences among strains, unlike the hemagglutinin (HA) genes of the influenza A virus that exhibit HA subtypes. Herein, we analyzed HEF antigenicity using a monoclonal antibody panel prepared from several virus lineages and found the existence of lineage-conserved and lineage-specific epitopes in HEF molecules. These findings confirm the HEF commonality and divergence among IDVs and provide useful information for constructing a vaccine containing a recombinant IDV virus with an engineered HEF gene, thereby leading to broad immunogenicity.

Economic efficiency of feed use in milk production in agricultural enterprises of Ukraine

The article conducted comprehensive studies of the economic efficiency of using feed in milk production in Ukrainian agricultural enterprises. The principal value and natural indicators that characterize the productivity of feed use in dairy cattle breeding are defined. Based on the benchmarking technique, an assessment of the relative technological efficiency of the use of feed by the regions of Ukraine was carried out, and potential reserves of their reduction relative to the reference value of the indicator of feed consumption per 1 t of milk was established. The main measures to increase the economic efficiency of using feed in milk production in Ukraine's agricultural enterprises are proposed. According to the results of the study, it was established that the payment of feed in enterprises that produce milk in Ukraine for 2010-2023 increased from 2.5 to 17 UAH per 1 feed unit, which is due to the devaluation of the national currency during the studied period and partly due to the increase in technological efficiency use of fodder. In terms of US dollars, the feed payment for milk production during the same period increased from 0.31 to 0.51 dollars per 1 feed unit. As of the end of 2023, Ukrainian enterprises spent an average of 0.41 dollars of the cost of all types of feed to obtain 1 dollar of the cost of raw milk sold. Accordingly, for 1 dollar of the cost of fodder, enterprises produce and sell raw milk worth 2.41 dollars. It is essential to diversify milk sales channels with a partial focus on direct sales directly to the final consumer, taking into account the almost three-fold ratio between the level of retail and wholesale prices of milk sales. To increase the economic efficiency of the use of fodder in the dairy cattle industry of Ukraine, it is also necessary to implement a system of organizational and technological measures to improve the conditions of keeping, animal care, veterinary support, optimization of feeding rations, fodder storage conditions, implementation of cow productivity monitoring using specialized software.

Efficacy of H2O2 inactivated bovine virus diarrhoea virus (BVDV) type 1 vaccine in mice

BackgroundBovine viral diarrhea (BVD) is an acute febrile infectious disease caused by the bovine viral diarrhea virus (BVDV), which has brought huge economic losses to the world's cattle industry. At present, commercial inactivated BVDV vaccines may cause some adverse reactions during use. This study aims to develop a safer and more efficient inactivated BVDV vaccine.MethodsHere, we described the generation and preclinical efficacy of a hydrogen peroxide (H2O2) inactivated BVDV type 1 vaccine in mice, and administered it separately with commercial vaccine (formaldehyde inactivated) in mice to study its efficacy.ResultsThe BVDV type 1 IgG, IFN- γ, IL-4 and neutralizing antibody in the serum of the H2O2 inactivated vaccine group can be maintained in mice for 70 days. The IgG level reached its maximum value of 0.67 on the 42nd day, significantly higher than the commercial formaldehyde inactivated BVDV type 1 vaccine. IFN- γ and IL-4 reached their maximum values on the 28th day after immunization, at 123.16 pg/ml and 143.80 pg/ml, respectively, slightly higher than commercial vaccines, but the effect was not significant. At the same time the BVDV—1 neutralizing antibody titer reached a maximum of 12 Nu on the 42nd day post vaccination.ConclusionsThe H2O2 inactivated BVDV vaccine has good safety and immunogenicity, which provides a potential solution for the further development of an efficient and safe BVDV vaccine.

Using participatory epidemiology to investigate the causes of cattle abortion in Southwest Ethiopia

Cattle abortion, stemming from both infectious and non-infectious causes, lead to notable financial setbacks in the cattle industry. Between October 2020 and October 2021, an epidemiological investigation took place in Southwest Ethiopia. The objective was to determine the magnitude and seasonal occurrence of the presumed causes of cattle abortion. Information for this research was collected through 30 group discussions, each involving 8–12 participants. Various participatory epidemiological tools, including semi-structured interviews, pairwise ranking, matrix scoring, proportional piling, and seasonal calendars, were employed in the designated areas. By employing the pairwise ranking approach, the relative significance of presumed causes contributing to cattle abortion was established. The identified major presumed causes of cattle abortion, listed in increasing order of importance, were blackleg, foot-and-mouth disease, pasteurellosis, lumpy skin disease, listeriosis, trypanosomosis, Q fever, leptospirosis, and brucellosis. Participants identified brucellosis (6.1%), leptospirosis (6.0%), and Q-fever (5.7%) as the primary presumed causes of abortion, determined through proportional piling. Matrix scoring analysis indicated a robust agreement (W = 0.464–0.989; P < 0.001) among different informant groups regarding both the presumed causes of abortion and the associated clinical signs. Brucellosis and Q-fever were perceived to be more prevalent during the dry season, while leptospirosis, listeriosis, and lumpy skin disease were associated with the wet, hot, and rainy seasons. However, Pasteurellosis, blackleg, and physical/mechanical factors were deemed to be consistently encountered causes of abortion throughout the year. The patterns of seasonal occurrence of suspected abortion causes were widely acknowledged across informant groups (W = 0.977–0.863; P < 0.001). Local practices involving herbal remedies and traditional methods were employed by participants to manage cattle abortion. Moreover, the results underscore the necessity for additional laboratory research to pinpoint the exact causes of abortion in the study areas.

The Global Epidemiology of Bovine Leukemia Virus: Current Trends and Future Implications.

Bovine leukemia virus (BLV) is a retrovirus that causes enzootic bovine leucosis (EBL), which is the most significant neoplastic disease in cattle. Although EBL has been successfully eradicated in most European countries, infections continue to rise in Argentina, Brazil, Canada, Japan, and the United States. BLV imposes a substantial economic burden on the cattle industry, particularly in dairy farming, as it leads to a decline in animal production performance and increases the risk of disease. Moreover, trade restrictions on diseased animals and products between countries and regions further exacerbate the problem. Recent studies have also identified fragments of BLV nucleic acid in human breast cancer tissues, raising concerns for public health. Due to the absence of an effective vaccine, controlling the disease is challenging. Therefore, it is crucial to accurately detect and diagnose BLV at an early stage to control its spread and minimize economic losses. This review provides a comprehensive examination of BLV, encompassing its genomic structure, epidemiology, modes of transmission, clinical symptoms, detection methods, hazards, and control strategies. The aim is to provide strategic information for future BLV research.

Mitochondria-mediated ferroptosis contributes to the inflammatory responses of bovine viral diarrhea virus (BVDV) in vitro.

Bovine viral diarrhea virus (BVDV) belongs to the family Flaviviridae and includes two biotypes in cell culture: cytopathic (CP) or non-cytopathic (NCP) effects. Ferroptosis is a non-apoptotic form of programmed cell death that contributes to inflammatory diseases. However, whether BVDV induces ferroptosis and the role of ferroptosis in viral infection remain unclear. Here, we provide evidence that both CP and NCP BVDV can induce ferroptosis in Madin-Darby bovine kidney cells at similar rate. Mechanistically, biotypes of BVDV infection downregulate cytoplasmic and mitochondrial GPX4 via Nrf2-GPX4 pathway, thereby resulting in lethal lipid peroxidation and promoting ferroptosis. In parallel, BVDV can degrade ferritin heavy chain and mitochondrial ferritin via NCOA4-mediated ferritinophagy to promote the accumulation of Fe2+ and initiate ferroptosis. Importantly, CP BVDV-induced ferroptosis is tightly associated with serious damage of mitochondria and hyperactivation of inflammatory responses. In contrast, mild or unapparent damage of mitochondria and slight inflammatory responses were detected in NCP BVDV-infected cells. More importantly, different mitophagy pathways in response to mitochondria damage by both biotypes of BVDV are involved in inflammatory responses. Overall, this study is the first to show that mitochondria may play key roles in mediating ferroptosis and inflammatory responses induced by biotypes of BVDV in vitro.IMPORTANCEBovine viral diarrhea virus (BVDV) threatens a wide range of domestic and wild cattle population worldwide. BVDV causes great economic loss in cattle industry through its immunosuppression and persistent infection. Despite extensive research, the mechanism underlying the pathogenesis of BVDV remains elusive. Our data provide the first direct evidence that mitochondria-mediated ferroptosis and mitophagy are involved in inflammatory responses in both biotypes of BVDV-infected cells. Importantly, we demonstrate that the different degrees of injury of mitochondria and inflammatory responses may attribute to different mitophagy pathways induced by biotypes of BVDV. Overall, our findings uncover the interaction between BVDV infection and mitochondria-mediated ferroptosis, which shed novel light on the physiological impacts of ferroptosis on the pathogenesis of BVDV infection, and provide a promising therapeutic strategy to treat this important infectious disease with a worldwide distribution.

Exploration of Extension Research to Promote Genetic Improvement in Cattle Production: Systematic Review.

In the cattle industry, tools for genetic improvement play a crucial role in animal selection. The changing circumstances faced by farmers and the significant part agricultural extension plays in these changes must be considered. Despite progress in genetic selection tools and the push for their adoption through extension services, a disconnect persists between the development of new strategies and tools for genetic improvement and their adoption by livestock farmers. This systematic review is designed to globally investigate the methodology and outcomes of extension research aimed at advancing genetic improvement in beef cattle. Adhering to PRISMA guidelines, a search was conducted across four databases for studies published from January 2012 to June 2023. Twenty-one articles were selected and reviewed. The research design in the articles predominantly employed mixed methods, utilizing both quantitative and qualitative approaches. While social factors are acknowledged as influencers in the adoption process, the application of theories or frameworks from social sciences is still in its early stages. To successfully implement extension activities that promote the use of genetic tools in cattle for a specific production region, more participatory research is required where farmers are actively involved.

Relationships between Dietary Chemical Components and Enteric Methane Production and Application to Diet Formulation in Beef Cattle

We used published data consisting of 263 treatment mean observations from beef cattle and dairy steers and heifers, in which CH4 was measured via chambers or head boxes, to evaluate relationships between enteric CH4 production and dry matter intake (DMI) and dietary components. Daily DMI was positively related (slope = 15.371, p &lt; 0.001) to total daily production (g/d) of CH4 (r2 = 0.821). Among chemical components, dietary neutral detergent fiber (NDF) concentration was the most highly related (r2 = 0.696; slope = 0.2001; p &lt; 0.001) to CH4 yield (g/kg of DMI), with strong relationships also noted for dietary starch:NDF ratio (r2 = 0.662; slope = −2.4587; p &lt; 0.001), starch (r2 = 0.495; slope = −0.106; p &lt; 0.001), and the proportion of metabolizable energy relative to gross energy (r2 = 0.561; slope = −23.663; p &lt; 0.001). The slope (−0.5871) and intercept (22.2295) for the dietary ether extract vs. CH4 yield were significant (p &lt; 0.001), but the relationship was highly variable (r2 = 0.150). For dietary crude protein concentration, the slope for CH4 yield was not significant (−0.0344; p &lt; 0.381) with an r2 value near zero. Decreasing DMI by programming body weight gain or restricting feed intake could decrease CH4 production in confined cattle, but these approaches might negatively affect growth performance and product quality, potentially negating positive effects on CH4 production. Feeding higher-quality forages or using grazing management systems that decrease dietary NDF concentrations or substituting grain (starch) for forage should decrease both CH4 yield from enteric production and manure CH4 production via increased digestibility. Effects of feeding management and diet formulation strategies should be additive with other mitigation approaches such as feed additives, allowing the cattle industry to achieve maximal decreases in enteric CH4 production, while concurrently maintaining optimal beef production.

A multiplex real-time fluorescence-based quantitative PCR assay for calf diarrhea viruses.

Calf diarrhea is a significant condition that has a strong effect on the cattle industry, resulting in huge economic losses annually. Bovine torovirus (BToV), bovine enterovirus (BEV), bovine norovirus (BNoV), bovine coronavirus (BCoV), bovine rotavirus (BRV), and bovine viral diarrhea virus (BVDV) are key pathogens that have been implicated in calf diarrhea. Among these viruses, there remains limited research on BToV, BEV, and BNoV, with no available vaccines or drugs for their prevention and control. Although commercial vaccines exist for BCoV, BRV, and BVDV, the prevalence of these diseases remains high. To address this issue, we developed a multiplex real-time fluorescence quantitative PCR method for detecting BToV, BEV, BNoV, BCoV, BRV, and BVDV. This method can be used to effectively monitor the prevalence of these six viruses and serve as a reference for future prevention and control strategies. In this study, we specifically designed primers and probes for the BNoV Rdrp, BEV 5'UTR, BToV M, BCoV N, BRV NSP5, and BVDV 5'UTR genes. This method was determined to be efficient, stable, and sensitive. The lowest detectable levels of plasmids for BNoV, BEV, BToV, BRV, BCoV, and BVDV were 1.91 copies/μL, 96.0 copies/μL, 12.8 copies/μL, 16.4 copies/μL, 18.2 copies/μL, and 65.3 copies/μL, respectively. Moreover, the coefficients of variation for all six detection methods were < 3%; they also exhibited a strong linear relationship (R2 ≥ 0.98), and an amplification efficiency of 90%-110%. A total of 295 fecal and anal swabs were collected from calves with diarrhea in Guangdong, China. The positive rates for BToV, BEV, BNoV, BCoV, BR, and BVDV were determined to be 0.34% (1/295), 6.10% (18/295), 0.68% (2/295), 1.36% (4/295), 10.85% (32/295), and 2.03% (6/295), respectively. Notably, BEV and BRV exhibited the highest prevalence. Additionally, this study identified the occurrence of BToV and BNoV in Guangdong for the first time. In summary, this study successfully established an effective method for detecting several important bovine viruses; ultimately, this holds strong implications for the future development of the cattle industry.

Association of genomically enhanced residual feed intake with performance, feed efficiency, feeding behavior, gas flux, and nutrient digestibility in growing Holstein heifers.

Residual feed intake (RFI), a metric of feed efficiency, is moderately heritable and independent of body size and productivity, making it an ideal trait for investigation as a selection criterion to improve the feed efficiency of growing cattle. The objective of this study was to examine the differences in performance, feed efficiency, feeding behavior, gas flux, and nutrient digestibility in Holstein heifers with divergent genomically enhanced breeding values for RFI (RFIg). Holstein heifers (n = 55; BW = 352 ± 64kg) with low (n = 29) or high (n = 26) RFIg were selected from a contemporary group of 453 commercial Holstein heifers. Heifers were rotated between 1 of2 pens, each equipped with 4 electronic feed bunks and 1 pen with a GreenFeed emissions monitoring (GEM) system. Individual dry matter intake (DMI) and feeding behavior data were collected for 84-d. Body weight (BW) was measured weekly and spot fecal samples were collected at weighing. Phenotypic RFI (RFIp) was calculated as the residual fromthe regression of DMI on average daily gain (ADG) and mid-test metabolic BW (BW0.75). A mixed model including the fixed effect of RFIg classification and the random effect of group was used to evaluate the effect of RFIg classification on response variables. There were no differences (P > 0.05) in BW and ADG for heifers with divergent RFIg; however, low RFIg heifers consumed 7.5% less (P < 0.05) feed per day. Consequently, low RFIg heifers exhibited a more favorable (P < 0.05) RFIp compared to high RFIg heifers(-0.196 vs 0.222kg/d, respectively). Low RFIg heifers had 8.7% fewer (P < 0.05) bunk visit events per day and tended to have an 11.2% slower (P < 0.10) eating rate. Low RFIg heifers had 7.7% lower (P < 0.05) methane (CH4) emissions (g/d), 6.1% lower (P ≤ 0.05) carbon dioxide (CO2) production (g/d), and 5.6% lower (P ≤ 0.05) heat production (Mcal/d) than high RFIg heifers. However, CH4 yield and CO2 yield (g/kg DMI), and heat production per unit DMI (Mcal/kg DMI) did not differ (P > 0.05) between heifers with divergent RFIg. Dry matter (DM) and nutrient digestibility did not differ (P > 0.05) between heifers with divergent RFIg. Results suggest that selection based on RFIg provides opportunities to select cattle with favorable feed efficiency phenotypes to increase the economic and environmental sustainability of the cattle industry.

Higher abundance of 2-dehydro-d-gluconate in the plasma of sub-fertile or infertile Bos taurus heifers.

Infertility or subfertility impacts approximately 5% and 15% of dairy and beef heifers (Bos taurus), respectively. Heifers that do not produce a calf within an optimum window of time have a significant negative impact on the profitability and sustainability of the cattle industry. Selection of heifers based on their fertility potential remains a challenge yet to be resolved. Here, we tested the hypothesis that heifers of different fertility potential have differing metabolome signatures in their plasma. We obtained blood from Bos taurus heifers at their first artificial insemination and processed the samples to separate the plasma. The heifers were classified based on their reproductive outcome as fertile (pregnant and delivered a calf after their first artificial insemination (AI)) or sub-fertile (Angus heifers: no pregnancy after two AI and exposure to a bull; Holstein heifers: no pregnancy by the third AI). We tested the relative abundance of 140 metabolites obtained from 22 heifers (Angus fertile n = 5, Angus sub-fertile n = 7, Holstein fertile N = 5, Holstein sub-fertile N = 5). The metabolite 2-Dehydro-D-gluconate (C6H10O7) was significantly more abundant in the plasma of sub-fertile heifers in both breeds (1.4-fold, false discovery rate < 0.1). In the context that a small proportion of circulating metabolites in the plasma were quantified in this study, the results show that the metabolomic profile in the blood stream may be associated with heifer fertility potential.

Prediction of Maize Yield and Assessment of the Material Circularity of Maize Residues Used in the Dairy Cattle Feed Production

The dairy cattle industry is expanding rapidly to accommodate the growing demand for human consumption. This results in high cattle feed production. This study aims to forecast the amount of maize residue and calculate the circularity level of using maize residue as a feedstock for total mixed ration feed production in dairy cattle feed production. The multiple linear regression analysis is performed to predict maize yields in Thailand so that maize residues can be calculated and used in feed production. The material circularity indicator is also used with biological cycles to assess the circularity level of dairy cattle feed production under the circular economy concept. The results show that the maize yield is expected to increase, resulting in more maize residues. The use of maize residues in daily cattle feed production gives the MCI value of 0.6038, representing a high degree of circularity and explaining the sustainable management of wastes in the cattle feed industry. Moreover, using maize residues as a part of feed ingredients instead of the Napier grass saves the cost by 14.2%. The study results provide a guideline for farmers and related authorities to plan for managing maize residue in daily cattle feed production to lower operation costs and minimize environmental problems. Keywords: Biological cycle, Circular economy, Dairy cattle feed production, Maize residues, Material circularity indicator, Multiple linear regression

Climate change and livestock production in Sub‐Saharan Africa: Effects and transmission channels

AbstractThis article assesses the effect of climate change on livestock production in Sub‐Saharan Africa, for a sample of 45 countries over the period 2000–2021. Using a two‐factor fixed effects panel data model, our results obtained by the two‐way fixed effects estimator show that (i) climate change negatively influences livestock production through high temperatures, while abundant rainfall is beneficial. (ii) Through transmission channels, we find that maize price volatility exacerbates the negative effect of rising temperatures on livestock production, while it reduces the beneficial effect of abundant rainfall. Furthermore, we find that water availability mitigates the adverse effect of rising temperatures on livestock, while enhancing the beneficial effect of rainfall on livestock. Finally, we concede that conflicts reduce the beneficial effect of rainfall on livestock production. To increase livestock production in Sub‐Saharan Africa, we recommend: the practice of pastoralism, based on the production of plants and fodder adapted to climate change, the improvement of animal nutrition, and the inclusion of breeders in the decision‐making process in the cattle industry.

Detection and molecular typing of epidemic Brucella strains among camels, sheep, and cattle in Xinjiang, China.

Brucellosis is a zoonotic disease that can result in symptoms including infertility, abortion, testicular inflammation, and arthritis in affected sheep and cattle. The disease can spread through a range of mechanisms, making outbreaks difficult to control such that affected farms often suffer severe economic losses. In addition, humans can be affected by brucellosis, and the number of cases continues to rise annually. As rates of brucellosis in Xinjiang, China have been increasing substantially in recent years, this study was developed to assess brucellosis seroprevalence among herds of cattle, sheep, and camels in Xinjiang through the use of common diagnostic procedures like the Rose Bengal test (RBT) and PCR. A cross-sectional approach was used to analyze the seroprevalence of brucellosis across 720 total farm animals (320 camels, 250 sheep, and 150 cattle). RBT incidence rate for brucellosis was detected in 60 serum samples, 14 (4.38%) from camels, 45 (18%) from sheep, and 1 (0.67%) from cattle. PCR was performed as a confirmatory approach for these RBT-positive samples, with 55 ultimately being confirmed to be positive 13 (4.06%), 41 (16.4%), and 1 (0.67%) samples from camels, sheep, and cattle, respectively. In this survey, sheep exhibited the highest brucellosis seroprevalence using these two analytical techniques, while cattle exhibited the lowest seroprevalence and camels exhibited an intermediate rate. AMOS-PCR analyses identified Brucella melitensis as the unknown bacterium in some of these samples. These results offer new insight regarding brucellosis seroprevalence among farm animals that can be used to formulate more appropriate prevention and control policies, while also improving awareness of epidemic prevention efforts, the need for routine quarantine and disinfection, the benefits of scientific breeding and management, and approaches to improving breeding efficiency for the camel, cattle, and sheep industries.

Coxiella burnetiid seroprevalence, risk factors, and health hazards in sheep and goats in Upper Egypt

Query fever (Q fever) or coxiellosis is a serious bacterial infection caused by Coxiella (C.) burnetii and affects various animals and humans. Clinically, Q fever ranges from various degrees of fever to abortion, either in infected animals or humans. Such infection is especially important in cattle and small ruminants industry, particularly sheep and goats. Thus, the current study aimed to recognize the prevalence of specific antibodies against C. burnetii in serum samples collected from sheep and goats in Sohag governorate, Upper Egypt, using a commercially available enzyme-linked immunosorbent assay (ELISA). The overall seroprevalence was found against C. burnetii (25.6%; 56/219), subdivided as 22.8% (23/101) in sheep and 28% (33/118) in goats. Animals used for this study are representative of different small ruminants (sheep and goats), age (various ages), sexes (males and females), locations (different localities in Sohag governorate), physiological and pathological conditions, and many other factors related to animals, farm, and the environment. Female animals exhibited a higher rate of C. burnetii antibodies than males (p = 0.0637). Also, females in the dry period showed a higher seropositive rate than those pregnant females (p &lt; 0.0001). In addition, the breeding system was reported as a risk factor for infection because animals bred in smallholders demonstrated a lower prevalence rate than those reared in individual breeding (p= 0.010) and mass farming (p= 0.006). Clinical and biochemical variables were estimated to recognize the health impact of seropositivity. Seropositive animals exhibited marked alterations in the selected clinical parameters and alanine transaminase (ALT) compared to the seronegative ones. Determining the exact occurrence of Q fever in sheep and goats might assist in developing a control policy for this infection and thus improve the income of the small ruminants industry and protect humans from infection.