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Our aim was to simultaneously investigate the gut bacteria typical characteristic and conduct rumen metabolites profiling of high production dairy cows when compared to low‐production dairy cows. The bacterial differences in rumen fluid and feces were identified by 16S rDNA gene sequencing. The metabolite differences were identified by metabolomics profiling with liquid chromatography mass spectrometry (LC‐MS). The results indicated that the high‐production dairy cows presented a lower rumen bacterial richness and species evenness when compared to low‐production dairy cows. At the phylum level, the high‐production cows increased the abundance of Proteobacteria and decreased the abundance of Bacteroidetes, SR1, Verrucomicrobia, Euryarchaeota, Planctomycetes, Synergistetes, and Chloroflexi significantly (p < 0.05). At the genus level, the rumen fluid of the high‐production group was significantly enriched for Butyrivibrio, Lachnospira, and Dialister (p < 0.05). Meanwhile, rumen fluid of high‐production group was depleted for Prevotella, Succiniclasticum, Ruminococcu, Coprococcus,YRC22, CF231, 02d06, Anaeroplasma, Selenomonas, and Ruminobacter significantly (p < 0.05). A total of 92 discriminant metabolites were identified between high‐production cows and low‐production cows. Compared to rumen fluid of low‐production dairy cows, 10 differential metabolites were found up‐regulated in rumen fluid of high‐production dairy cows, including 6alpha‐Fluoropregn‐4‐ene‐3,20‐dione, 3‐Octaprenyl‐4‐hydroxybenzoate, disopyramide, compound III(S), 1,2‐Dimyristyl‐sn‐glycerol, 7,10,13,16‐Docosatetraenoic acid, ferrous lactate, 6‐Deoxyerythronolide B, vitamin D2, L‐Olivosyl‐oleandolide. The remaining differential metabolites were found down‐regulated obviously in high‐production cows. Metabolic pathway analyses indicated that most increased abundances of rumen fluid metabolites of high‐yield cows were related to metabolic pathways involving biosynthesis of unsaturated fatty acids, steroid biosynthesis, ubiquinone and other terpenoid‐quinone biosynthesis. Most down‐regulated metabolic pathways were relevant to nucleotide metabolism, energy metabolism, lipid metabolism and biosynthesis of some antibiotics. Our aim was to simultaneously investigated the gut bacteria typical characteristic and conduct rumen metabolites profiling of high‐production dairy cows when compared to low‐production dairy cows. The aim of the study was to explore the typical gut bacteria and rumen typical metabolites matter of high‐production airy cows. After that, the results can be applied in the low‐yield dairy cows to improve their milking performance.

Purpose The purpose of this paper is to verify if, in the dairy business ecosystem (dairy farmers, dairy cooperatives, government, research agencies, consultants and financial institutions) perspective, the dairy production barriers presented by Bonamigo et al. (2016b) can be mitigated through the dairy production key factors indicated in the literature. Design/methodology/approach To achieve the proposed goal of this study, the methodology used for the study comprises three stages: exploratory search in the literature to identify barriers and drivers of dairy production, data collection and statistical model. For the first stage, the authors conducted exploratory research in the literature, to better understand the dairy production ecosystem and to find arguments that characterize the barriers and drivers of this activity. In the second stage, a structured questionnaire with 13 closed-ended questions in a single block, with ordinal responses, following the suggestion of Likert (1932), was developed and applied to the dairy production ecosystem players of Santa Catarina, Brazil. A total of 305 responses suitable for analysis based, that were analyzed through an exploratory factorial analysis and modeling of structural equations via partial least squares, resulting in the Statistical model. Findings Based on the analyses results, the authors verified that there is an inverse association between the characteristics of the barriers and the dairy production key factors. In this sense, the authors can confirm that the increase of the loads in the dairy production key factors, reduce loads of the milk production barriers. Based on the results of this test, new theoretical and practical insights can be identified to develop new studies with the aim of boosting the dairy sector development as well as providing support in the decision making of the dairy system players. Research limitations/implications This study may not have enabled a complete coverage of all existing peer-reviewed articles in the field of dairy production. It seems reasonable to assume that the review process covered a significant proportion of studies available. Originality/value It is the first study that compares identifies barriers and key factors of dairy production in Santa Catarina using as an analytical lens the business ecosystem.

The article presents a simplified method for estimating milk carbon footprint. LatteGHG is an electronic worksheet dedicated to the typical Italian dairy production systems. The literature concerning the estimation of milk carbon footprint has been examined, with particular attention to background information and methodologies that are adopted for estimating greenhouse gas emissions. The aim is to identify the solutions that best fit an intensive production system, such as the milk production system in Italy. The article includes an in-depth description of the procedures used in the estimation in order to ensure the greatest transparency. The proposed tool is also flexible because it allows the users to upload the most up-dated and suitable emission factors. LatteGHG has been tested by simulating four dairy farm models and has been shown to be able to at least point out differences due to milk productivity, the stocking rate and the manure management system.

Farmers should focus on milk quality over quantity because milk that contains unsuitable components and/or antibiotic residues, or has a high somatic cell count, cannot be used in food production and thereby results in reduced milk yield. One of the main problems affecting the ultimate milk yield of dairy cows is mastitis. This disease is the most serious economic and health problem associated with dairy cow herds and is a major reason for excessive culling. Therefore, many studies have addressed this problem to further our understanding of the agents causing mastitis and their classification and virulence factors. This review summarizes the current knowledge regarding mastitis prevalence, the characteristics of its main causative agents, and the effects of mastitis on dairy production. The review also intends to provide guidance for future studies by examining external effects influencing dairy production in cows under field conditions.

The objective of this article is to examine the association between agricultural subsidies and dairy farm technical efficiency in the European Union, and in so doing we make novel contributions to the literature.We include in the analysis nine diverse western European Union (EU) countries over an 18-year period (1990–2007) encompassing the various Common Agricultural Policy (CAP) reforms enacted since the inception of the EU. Further, we account for input endogeneity using an original method of moments estimator. Our results show that the effect of subsidies on technical efficiency may be positive, null, or negative, depending on the country. The analysis reveals that the introduction of decoupling with the 2003 CAP reform weakens the effect that subsidies have on technical efficiency.

Milk production is an important economic and social activity in Brazil. Failure to meet institutional and market demands for quality and sustainability has led farmers, particularly small-scale farmers, to leave agriculture. The aim of this study was to assess and compare the sustainability of dairy farms in Paraná, Brazil. A semi-structured questionnaire was administered to 75 dairy farm operators. Sustainability indicators were generated on the basis of economic, environmental and social data using exploratory factor analysis. Factor scores were subjected to hierarchical clustering, which resulted in the formation of three groups of dairy farms. Groups 1, 2 and 3 had high, intermediate and low levels of sustainability, respectively. Group 1 comprised large-scale dairy farms with high productivity. Dairy farms with intermediate sustainability (group 2) had medium production capacity, and farms with low sustainability (group 1) had the smallest production scale and capacity. Large-scale dairy farms have greater economic, environmental and social sustainability and are, therefore, more likely to survive in the medium and long term.

Insufficient data are available about the association between prepartum risk factors including dietary cation–anion difference (DCAD) status and postpartum outcomes of Holstein dairy cows within commercial management systems. The first objective of this experiment was to assess the association between postpartum serum calcium (Ca) dynamics and the risk of metritis development. The second objective was to identify the association of risk factors, including DCAD status of prepartum ration, prepartum serum macrominerals and parity, with the development of subclinical hypocalcemia (SCH) in two commercial herds. Herd A (n = 32) fed a negative DCAD close-up ration and herd B (n = 30) fed a positive DCAD close-up diet. A receiver operating characteristic (ROC) curve was run to evaluate the association of serum Ca concentration at 1, 2, and 4 DIM with the risk of developing metritis. A second ROC curve was also created to assess the association of prepartum serum Mg, P, and Ca concentration with the postpartum serum Ca concentration dichotomized into normocalcemic (>8.82 mg/dl) and subclinical hypocalcemic (≤8.82 mg/dl). A logistic regression model was created to assess prepartum DCAD status (negative vs. positive) and parity (classified into a 3-level variable as first, second and third or greater lactations) as potential predictors of SCH classification. Serum Ca concentration at DIM 4 was a significant predictor of metritis (area under the curve = 0.87; P < 0.01). Cows fed positive vs. negative prepartum DCAD diet were more likely to be classified as SCH at 4 DIM. Parity did not show a significant association with the classification of SCH at 4 DIM. Our results demonstrate the importance of the DIM of blood Ca concentration assessment in connection with the diagnosis of metritis, which is crucial for the most accurate categorization of SCH and the related risk factors.

Dairy production relies predominantly on a few, selectively bred, high-yielding dairy breeds, resulting in a surplus of low-value male offspring. This situation leads to a conflict between a growing demand for milk and low appreciation for dairy calves. Extending lactation could reduce the number of calves born. This study aimed to assess the current use of extended lactation in dairy production in Southern Germany, identify the perceived potential, and determine the biological potential extended lactation has to reduce calf numbers. A survey from 2020 with 310 farmers was analysed. A total of 145 (46.8%) farmers used extended lactation. The use of extended lactation on farms correlated significantly with breed, milk yield, interest in continuing or implementing the use of extended lactation, and the indicated feasibility of extended lactation. The perceived potential was assessed by 39.8% of farmers as “high” to “very high”. A total of 17 (12.8%) farmers currently not using extended lactation were identified as potential adopters. Together with existing adopters, this could result in 52.3% of farms using extended lactation, which could biologically reduce calf numbers by 7.3% or 14.1% p.a., when extended by three or six months, respectively. This adoption potential shows that extended lactation can reduce calf numbers considerably, addressing both ethical and economic concerns in dairy farming and benefiting farmers as well as society.

PurposeThe purpose of this paper was to assess the economic impact of investment in different animal welfare–enhancing flooring solutions in Swedish dairy farming.Design/methodology/approachThe authors developed a bio-economic model and used stochastic partial budgeting approach to simulate the economic consequences of enhancing solid and slatted concrete floors with soft rubber covering.FindingsThe findings highlight that keeping herds on solid and slatted concrete floor surfaces with soft rubber coverings is a profitable solution, compared with keeping herds on solid and slatted concrete floors without a soft covering. The profit per cow when kept on a solid concrete floor with soft rubber covering increased by 13%–16% depending on the breed. Practical implicationsPromoting farm investments such as improvement in flooring solution, which have both economic and animal welfare incentives, is a potential way of promoting sustainable dairy production. Farmers may make investments in improved floors, resulting in enhanced animal welfare and economic outcomes necessary for sustaining dairy production.Originality/valueThis literature review indicated that the economic impact of investment in specific types of floor improvement solutions, investment costs and financial outcomes have received little attention. This study provides insights needed for a more informed decision-making process when selecting optimal flooring solutions for new and renovated barns that improve both animal welfare and ease the burden on farmers and public financial support.

The objectives of this study were to investigate the effect of level and timing of silage supplementation during early lactation on animal performance and dry matter intake (DMI). Two farm-lets were established with a high (1253 kg DM/ha) and low (862 kg DM/ha) grass availability at turnout. In spring, cows were assigned to one of two treatments as they calved over 2 years; high grass (HG) and low grass (LG). During period 1 (week 1–6), cows on the HG treatment were offered a high daily herbage allowance (DHA) with low silage and the LG treatment were offered a low DHA with high silage. In period 2 (week 7–12), half of the cows from the HG treatment in P1 switched to the LG treatment in P2 and vice versa as 20 LG cows in P1 switched to the HG treatment in P2. Cows on the HG treatment in P2 received a high DHA with no silage and the LG treatment received a low DHA with 3 kg DM/cow silage. Grass DMI was significantly higher for the HG treatment during both periods (+1.6 and +3.4 kg DM/cow/day, respectively). The HG treatment produced +0.9 kg milk/cow/day and had a higher protein concentration (+1.1 g/kg milk) compared to cows on the LG treatment during period 2. Differences in animal performance observed in period 2 were maintained throughout the 8-week carryover period.