Dairy Technologies Research Articles

Is adoption of modern dairy farming technologies interrelated? A case of smallholder dairy farmers in Meru county, Kenya

Attempts have been made to promote the adoption of modern dairy farming technologies (MDFT). However, the adoption of these technologies largely remains underutilized. This study aimed to analyze the determinants of the adoption of MDFTs in Meru County. Using purposive and proportionate sampling techniques from 355 smallholder dairy farmers in Meru County, Kenya, this study analyzed the factors that facilitate or impede the adoption of MDFTs. We use a Multivariate probit (MVP) to evaluate adoption decisions by dairy farm households facing multiple MDFTs. The results reveal a significant correlation among the eight MDFTs suggesting that modern technologies are interrelated. The MVP model results indicate that household income, education level, number of extension contacts, access to credit, farmer group membership, farming experience and livestock monetary value had positive effect on the adoption of MDFTs. Education level and extension contacts had a positive influence on the adoption of fodder establishment and preservation technologies. Farming experience in dairy farming had a positive effect on the adoption of well-structured and clean sleeping areas, and the growth of Rhodes grass. Household income had a positive effect on the growth of Rhodes grass and feed mixture. This work illustrates a need for a policy implication and insight into a need for the county government and private milk processing companies to increase extension frequency to enhance the adoption of MDFTs. Additionally, there is a need to increase access to affordable credit, this should be considered by the government by establishing strengthening a smallholder low-interest and efficient local credit schemes and institutions.

PSXII-15 Theory of planned behavior-based evaluation of technology adoption in dairy farms

Abstract Studies on the adoption of farm innovations should include underlying psychological constructs that affect decisions and behavior of farmers such as intention, perceptions, and beliefs. Dairy farming technologies are continually evolving, making it necessary to review current farm practices frequently. Dairy farmers are actively exploring various alternative investment options to optimize production processes, minimize costs, and increase overall efficiency. However, careful evaluation is crucial to understanding the knowledge and attitude of farmers to these tools. We utilize psychological constructs from the theory of planned behavior approach to understand the technology adoption behavior of dairy farmers. The theory of planned behavior is a psychological model that explains how human behavior is influenced by attitudes, subjective norms, and perceived behavioral control. We add product marketing as another essential component based on the industry relevance. The objective was to understand the adoption decisions and the perceived usefulness of precision technologies by dairy farmers in Texas. Dairy farmers were delivered printed copies of a pretested survey instrument to assess technology use, on-farm decisions, and producers’ planned behavior related to technology adoption on farms. Thirty-two completed surveys were returned and analyzed for descriptive and Structural Equation Modeling using Microsoft Excel and SAS (ver. 9.4). When choosing a technology, respondents ranked (on a scale of 1 to 5; unimportant to very important) the availability of local tech support as the most important factor (score 4.16; range 3 to 5), followed by proven performance through research (4.0; 3 to 5), simplicity of use (3.82; 3 to 5), benefit to cost ratio (3.66; 2 to 5), and total cost of investment (3.5; 1 to 5). Regarding barriers to investment decisions, 26% ranked lack of access to capital as a primary issue, followed by environmental regulations (12.5%), political environment (12.5%), and sitting regulations (12.5%). The intention of farmers to utilize the technology was influenced by farmers’ evaluation of the use of technology (attitude), their perceptions about the social pressure and marketing (subjective norm), and their perceptions about their utility on farmers (perceived behavioral control). The three most influential behavioral beliefs as the drivers of attitude were an increase in farm production and performance, monitoring cows, and labor savings. The three most influential normative beliefs were drivers of the subjective norm: family and friends, neighbors, and marketing. The three most influential control beliefs were drivers of perceived behavioral control: availability of local tech support, benefit-to-cost ratio, and simplicity and ease of use. Respondents indicate that having a standard price, reduced cost, and providing a detailed cost analysis when marketing the technology increases confidence in purchasing and integration. The findings suggest developing better products, ensuring reasonable pricing, and performing proper validations to enhance the farmer’s trust helps to increase technology adoption in dairy farms.

Hygiene Assessment of Buffalo Milking Parlours in Campania Region, Italy: A Preliminary Study by Using ATP Luminometry and Bacteriological Investigation.

Careful cleaning of a milking parlour and its equipment is fundamental to guarantee good raw milk quality and prevent the dissemination of bacteria and improve animal welfare. This study aimed to investigate, using an ATP-bioluminescence assay and bacteriological analysis, the bacterial contamination of milking parlours on milking parlour surfaces of buffalo farms in the Campania Region, evaluating the seasonal dynamics during the year 2022. Eight farms were selected by the Italian ClassyFarm system, which assesses the level of animal welfare and biosecurity according to risk analysis. Before sampling, all dairy farm owners filled out a questionnaire on milking management, animal hygiene, and health. The questionnaires evidenced similar cleaning procedures but an absence of a standardised cleaning protocol among the different farms. ATP bioluminescence results evidenced similar levels of contamination in all the selected buffalo farms, and the season comparison showed no significant differences. A variation in the percentages of bacterial isolates during the different seasons was observed, with a higher prevalence of Enterobacteriaceae (38%) in summer. A small number of samples exhibited an absence of bacterial growth. Identifying bacteria is crucial for understanding the microorganisms present in the milking parlour, yet employing ATP luminometry could offer broad and accurate applications in buffalo milking parlours. In conclusion, the use of ATP bioluminescence for evaluating the hygiene of a buffalo milking parlour could represent a further important advancement in dairy farming technology.

Dairy farming technologies and the agency of cows

Studies on animal cognition, emotion, language, culture, and politics have shown that non-human animals are agents who engage in self-willed actions and have an interest in shaping their own lives. In today’s world, however, animals’ lives are affected significantly by circumstances that humans have created, including animal farming systems. The current paper explores how the agency of cows relates to technology by reporting on fieldwork performed in the Dutch dairy sector. Multi-species ethnography was used as a flexible methodology that allowed readjusting questions and methods as our research developed. In the first research phase, observations and informal talks were held on six farms which had been recruited on the basis of convenience sampling and which were each visited for one full day. In the second research phase, five more farms were selected for 1-day visits through theoretical and snowball sampling, and one farm was visited repeatedly for in-depth observations. The observational strategies used included following individual actors (farmers, cows or technologies) and documenting their interactions with other actors; participating in daily routines such as feeding cows roughage and scraping manure; witnessing cows’ responses to non-routine events such as the introduction of new technologies or new cows; and sometimes waiting for notable occurrences by just ‘hanging out’ with cows. Observations and informal talks were in this research phase complemented by a small number of interviews with farmers, cow shed designers, and technology developers. Our main conclusion is that the agency of dairy cows is presupposed and mediated by dairy farming technologies. Dairy farming technologies presuppose cow in the ‘scripts’ and ‘programs of action’ which they enforce: they require cows to act in specific ways, anticipate some ways in which cows could disrupt technological routines, and (successfully or unsuccessfully) attempt to ensure cows’ cooperation by appealing to their wants and desires and their ability to learn. Dairy farming technologies thus assign to cows not only the ability to perform ‘metabolic labour’ but also the capacity to act purposively and learning abilities. Technologies mediate cow agency by (co–)shaping how cows express agency in relation to other entities, including other cows, humans, other non-human animals, material entities including technologies, and the world at large. That technologies can be relevant for animal agency in various ways raises the question of how technologies can be designed for agency – although the concept of animal agency also challenges us to reconsider animal agriculture more fundamentally.

Enhancing Dairy Farm Welfare: A Holistic Examination of Technology Adoption and Economic Performance in Kahramanmaraş Province, Turkey

Technology and innovations have significant potential to enhance farm productivity, profitability, and economic sustainability. This study comprehensively investigates the relationship between technology adoption and economic performance within dairy farming. First, it seeks to clarify how socio-economic, information-seeking, behavioral factors and technical efficiency influence the level of technology adoption in dairy farms. It also compares the economic indicators of dairy farms depending on their technology adoption levels and evaluates whether technology adoption affects dairy farms’ technical, allocative, and economic efficiency. The data were collected from 188 dairy farmers in Kahramanmaraş Province in the East Mediterranean Region of Turkey in 2022. The results reveal that dairy farms’ technology adoption levels are influenced by income, household size, investment, ownership of cultured cattle breeds, Chamber of Agriculture membership, contact frequency with private veterinarians and other farmers, perceived ease of use, perceived usefulness, and technical efficiency. Farms with high-level technology adoption demonstrate increased profitability and efficiency scores, highlighting the positive correlation between technology adoption and farm efficiency. Policymakers should focus on training and support programs for dairy farmers to optimize technology use and input management. They can also promote resource-efficient farming and provide financial incentives for sustainable practices and dairy technologies.

Whole genome analysis, thermal and UV-tolerance of Lactococcus phage BIM BV-114 isolated from cheese brine

Lactococcus phages that belong to the genus Ceduovirus are among the three most frequently isolated phage groups infecting Lactococcus lactis starter strains in dairy plants. In this study, we characterized virulent Lactococcus phage BIM BV-114 isolated from industrial cheese brine in Belarus and identified as Ceduovirus. The bacteriophage demonstrated a relatively short lytic cycle (latent period of 23 ± 5 min, lysis time of 90 ± 5 min), high thermal stability (inactivation after 7 min at 95 °C in skimmed milk) and tolerance to UV radiation (inactivation time – 15 min), indicating adaptation for better persistence in dairy facilities. The genome of the phage BIM BV-114 (21 499 bp; 37 putative open reading frames) has a similar organization to that of other Ceduovirus phages. RLf1_00140 and RLf_00050 gene products, found in the early genes region, may be involved in the sensitivity of phage to the lactococcal abortive infection mechanisms AbiV and AbiQ, respectively. Furthermore, nucleotide deletion, observed in the middle region of the gene encoding putative tape measure protein (RLf1_00300), is possibly responsible for increased thermal tolerance of phage BIM BV-114. Together, these findings will contribute to a better knowledge of virulent Lactococcus phages and the development of effective methods of their control for dairy technologies.

A Study on Educational and Training Needs Assessment of Professionally Active Agronomists in the Area of Central Macedonia, Greece

The aim of this study was to investigate the educational and training needs of agronomists in the region of Central Macedonia in Greece, a region with significant contribution to the Greek agricultural economy. Data was collected through an electronic survey by a sample of 127 agronomists. A quantitative survey with a non-probability sampling was conducted, snowball sampling method was applied and descriptive tools were used to present the results in the form of means, percentages, standard deviations, analysis of variance and correlation analysis. Conclusions indicate differences in gender as they prioritize educational needs and a positive linear correlation between professional experience and the number of training programmes attended. High need of training declared in the subjects of Precision agriculture, Precision livestock farming & Use of new technologies. Low need for training declared in the subjects of Livestock production and farm animal disease control, Dairy farming, Protected agriculture, Floriculture management, Poultry farming and Fish farming technologies.

Understanding dis-adoption of technologies by smallholder dairy farmers in Indonesia

Abstract Farmer cooperatives represent a vertical coordination strategy aimed at reducing transaction costs and facilitating the adoption of technologies among farmers. In their roles, cooperatives undertake internal coordination of activities which may include enforcement measures, provision of quality inputs, internal control, and negotiation of favourable terms of exchange with buyers. However, limited attention has been given to understanding how cooperatives’ performance in the internal coordination of activities either promotes or hinders the continued adoption of agricultural technologies among cooperative members. We conducted a case study of the dairy sector in West Java, Indonesia, and utilised a mixed-method approach combining insight from dairy cooperative board members and dairy farming households. Our results suggest that the dis-adoption of dairy technologies is rooted in weak or non-existent monitoring and enforcement mechanisms to ensure input and output quality, the absence of price incentives, and inadequate provision of extension services. Furthermore, the lack of tight monitoring and control mechanisms reduces the cooperatives’ bargaining power with input providers and milk buyers. Unless these issues within the cooperatives are addressed, continued adoption of recommended dairy farming practices by smallholder farmers will not be sustained.

Planned behavior, social networks, and perceived risks: Understanding farmers' behavior toward precision dairy technologies

Precision dairy tools (PDT) can provide timely information on individual cow's physiological and behavioral parameters, which can lead to more efficient management of the dairy farm. Although the economic rationale behind the adoption of PDT has been extensively discussed in the literature, the socio-psychological aspects related to the adoption of these technologies have received far less attention. Therefore, this paper proposes a socio-psychological model that builds upon the theory of planned behavior and develops hypotheses regarding cognitive constructs, their interaction with the farmers' perceived risks and social networks, and their overall influence on adoption. These hypotheses are tested using a generalized structural equation model for (a) the adoption of automatic milking systems (AMS) on the farms and (b) the PDT that are usually adopted with the AMS. Results show that adoption of these technologies is affected directly by intention, and the effects of subjective norms, perceived control, and attitudes on adoption are mediated through intention. A unit increase in perceived control score is associated with an increase in marginal probability of adoption of AMS and PDT by 0.05 and 0.19, respectively. Subjective norms are associated with an increase in marginal probability of adoption of AMS and PDT by 0.009 and 0.05, respectively. These results suggest that perceived control exerts a stronger influence on adoption of AMS and PDT, particularly compared with their subjective norms. Technology-related social networks are associated with an increase in marginal probability of adoption of AMS and PDT by 0.026 and 0.10, respectively. Perceived risks related to AMS and PDT negatively affect probability of adoption by 0.042 and 0.16, respectively, by having negative effects on attitudes, perceived self-confidence, and intentions. These results imply that integrating farmers within knowledge-sharing networks, minimizing perceived risks associated with these technologies, and enhancing farmers' confidence in their ability to use these technologies can significantly enhance uptake.

Examining the Linkages of Technology Adoption Enablers in Context of Dairy Farming Using ISM-MICMAC Approach

In the context of agribusiness, technology and innovation have led to major transformations in many countries. Precision dairy farming technologies enable cost optimization, quality control, waste reduction, achieving economies of scale, efficiency in dairy resource utilization, improvement in productivity, standardized processes, enhanced decision support system and overall farm management. Despite being an overall production-wise rich country, India’s dairy sector lacks in terms of yield per cattle, overall dairy farm output, effective herd management and lack of effective technology acceptance and implementation. With the help of NGT based outcome, this research is an attempt to showcase the enablers of technology adoption in dairy farming and how these enablers interact with each other in a hierarchical form using ISM methodology. Experience in the dairy business, competitive pressure and digital literacy were found as the most crucial and driving enablers. However, agreeableness and managerial interest were found as the most dependent enablers of technology adoption. The interpretations drawn from the model can help the decision makers, policy makers and farmers not only in India but can serve as the base for other nations dependent upon agriculture to understand the inter dependency among enablers and suggestions to plan and channel technology adoption by focusing upon critical ones.

Assessment of Ruminating, Eating, and Locomotion Behavior during Heat Stress in Dairy Cattle by Using Advanced Technological Monitoring.

Heat stress (HS) significantly impacts dairy farming, prompting interest in precision dairy farming (PDF) for gauging its effects on cow health. This study assessed the influence of the Temperature-Humidity Index (THI) on rumination, eating, and locomotor activity. Various parameters, like rumination time, drinking gulps, chews per minute, and others were analyzed. The hypothesis was that precision dairy farming technology could help detect HS. Nine healthy Lithuanian Black-and-White cows were randomly selected for the trial. RumiWatch noseband sensors recorded behaviors, while SmaXtec climate sensors monitored THI. The data collection spanned from 14 June to 30 June. Cows in the THI class ≥ 72 exhibited reduced drinking time (51.16% decrease, p < 0.01), fewer chews per minute (12.9% decrease, p < 0.01), and higher activity levels (16.99% increase, p < 0.01). THI showed an inverse correlation with drinking time (r = -0.191, p < 0.05) and chews per bolus (r = -0.172, p < 0.01). Innovative technologies like RumiWatch are effective in detecting HS effects on behaviors. Future studies should explore the impact of HS on RWS biomarkers, considering factors such as lactation stage, number, yield, and pregnancy.

Practical fetotomies

Dystocias can take on many forms and knowledge of when to perform a fetotomy vs a C-section can be a major headache sav­er. While there are places around the country where C-sections have been abandoned exclusively for performing a fetotomy and vice versa, my practice area has always been open to both procedures. This passage from the 1972 book Fetotomy in Large Animals by C J Bierschwal and CHW deBois sums it nicely:&#x0D; Fetotomy should not be considered a substitute for Cesarean section. Both have a place in veterinary practice, the choice of method in in­dividual cases being governed by the circumstances. After the finding of a dead fetus in the case of dystocia, the uppermost question should be “Which is the better solution with regard to the life of the dam?” The answer may not be the easier procedure or the one involving the least amount of effort. &#x0D; The advent of sexed semen and beef on dairy technologies have seemed to greatly reduce the volume of dystocias due to large calves. That generally leaves malpositioned calves, emphyse­matous calves and the occasional fetal monster. Discussion of all presentations of dystocia are beyond the scope of this paper. The techniques presented here are a foundation that the veteri­nary obstetrician should be familiar with in order to apply to fetal presentations not discussed here.

Investigating the Acid- and Enzyme-Induced Coagulation of Raw Milk Using Dielectric and Rheological Measurements

In this study, the enzyme-induced and acid coagulation of raw milk samples were investigated, and these two processes were monitored by determining the changes in dielectric and rheological behavior to see if any correlations could be found between these two properties. For the enzyme-induced experiments, 250 cm3 of raw milk sample and industrial chymosin were used, and during the acid coagulation, industrial thermophile yogurt culture was added to the same amount of milk. The apparent viscosity was monitored with a vibro viscometer, and the dielectric constant was measured in a frequency range of 200–2400 MHz with an open-ended dielectric assessment kit (DAK) connected to a vector network analyzer (VNA). Our experimental findings revealed that during both enzyme-induced and acid coagulation, two distinct phases could be found in terms of dielectric and rheological properties, and regardless of the molecular mechanisms behind the aggregation of casein micelles, a strong correlation (with R2-values ranging between 0.967 and 0.992) can be found between the extent of the apparent viscosity and dielectric constant, suggesting that dielectric measurements might be adequately used in these dairy processing technologies. These results verified the applicability of the non-destructive dielectric measurements in dairy technologies.

Adoption of dairy technologies in smallholder dairy farms in Ethiopia

The adoption of modern agricultural technologies in Ethiopia’s dairy production system remains underutilized and under-researched yet it is a promising sector to aid in reducing poverty, improving the food security situation and the welfare of rural households, and in ensuring environmental sustainability. This paper uses the Negative Binomial regression model to examine determinants of multiple agricultural technology adoption in the Addis Ababa and Oromia regions of Ethiopia. Data was collected from 159 smallholder dairy farms in Ethiopia’s Addis Ababa and Oromia regions exploring 19 technologies used by the farmers during the study period. The findings show that farm location and herd size impact adoption decisions. Increasing herd size is associated with increased uptake of multiple technologies. Further, as farmer education level increases the more likely farmers are to adopt multiple technologies. The increase in the number of female workers is positively associated with the adoption of multiple dairy technologies. In terms of farmers’/workers’ years of experience, those with no years of work experience are less likely to have adopted multiple technologies than those with more than 5 years of experience. However, this could be due to a number of factors where experience stands as a proxy value. Trust in information from government agencies was associated with a higher propensity to adopt multiple dairy technology as was farmer perception of fellow farmers as peers compared to those who perceive them as competitors. This is an important finding as it may help policymakers or institutions explore knowledge exchange and diffusion of innovation strategies tailored to specific farming and community situations. Studies have shown that farmers within a social group learn from each other more fully about the benefits and usage of new technology. These findings are of value in future technology adoption studies, particularly which factors influence the intensity of adoption of multiple technologies by smallscale producers.

Unlocking the potential of smallholder dairy farm: Evidence from the central highland of Ethiopia

Sustainable livestock farming practices have the potential to improve productivity and high income, reduce greenhouse gases, and improve household food security. Despite previous efforts to disseminate these technologies, the rate of adoption has remained very low in Ethiopia. In this study, we investigate the determinants of adoption and the impact of improved dairy farming practices (IDFP), which include improved breed, improved feed, and improved feeding conditions, on household food security in the central highland of Ethiopia. A multi-stage stratified random sampling technique was used to select 480 smallholder farmers from four districts. The study employed principal component analysis (PCA) to group IDFPs, and the endogenous switching regression model (MESR) was used to examine household food security status. Our findings showed that IDFP adoption had a significant and positive impact on per capita food consumption and increases the likelihood of smallholder farmers being food secure compared to non-adopters. The adoption of integrated IDFP had a greater impact on household food security when smallholder farmers used a package that incorporates improved breeds, feeds, and feeding systems (B1F1S1). The implementation of this package increased food security by 31% in terms of household food consumption score (HFCS) and 26% in terms of household diet diversity score (HDDS). Additionally, the size of livestock holdings, off-farm income, extension services, and milk collection centers all influenced the adoption decision of this package. It has been confirmed that improving dairy farming practices for sustainable development can significantly contribute to the food security of smallholder farmers when used in combination. Interventions that address access to farm resources, the supply chain for technological inputs and services, and output markets may assist in the adoption of dairy technologies.

A Cascaded Individual Cow Identification Method Based on DeepOtsu and EfficientNet

Precision dairy farming technology is widely used to improve the management efficiency and reduce cost in large-scale dairy farms. Machine vision systems are non-contact technologies to obtain individual and behavioral information from animals. However, the accuracy of image-based individual identification of dairy cows is still inadequate, which limits the application of machine vision technologies in large-scale dairy farms. There are three key problems in dairy cattle identification based on images and biometrics: (1) the biometrics of different dairy cattle may be similar; (2) the complex shooting environment leads to the instability of image quality; and (3) for the end-to-end identification method, the identity of each cow corresponds to a pattern, and the increase in the number of cows will lead to a rapid increase in the number of outputs and parameters of the identification model. To solve the above problems, this paper proposes a cascaded dairy individual cow identification method based on DeepOtsu and EfficientNet, which can realize a breakthrough in dairy cow group identification accuracy and speed by binarization and cascaded classification of dairy cow body pattern images. The specific implementation steps of the proposed method are as follows. First, the YOLOX model was used to locate the trunk of the cow in the side-looking walking image to obtain the body pattern image, and then, the DeepOtsu model was used to binarize the body pattern image. After that, primary classification was carried out according to the proportion of black pixels in the binary image; then, for each subcategory obtained by the primary classification, the EfficientNet-B1 model was used for secondary classification to achieve accurate and rapid identification of dairy cows. A total of 11,800 side-looking walking images of 118 cows were used to construct the dataset; and the training set, validation set, and test set were constructed at a ratio of 5:3:2. The test results showed that the binarization segmentation accuracy of the body pattern image is 0.932, and the overall identification accuracy of the individual cow identification method is 0.985. The total processing time of a single image is 0.433 s. The proposed method outperforms the end-to-end dairy individual cow identification method in terms of efficiency and training speed. This study provides a new method for the identification of individual dairy cattle in large-scale dairy farms.

Handling, Processing and Composition of Cow Milk Under Two Traditional Farming Systems in Kebribeyah District of Fafan Zone, Somali Regional State, Ethiopia

The aim of this study was to assess handling, processing &amp; chemical composition of cow milk in Kebribeyah district. The study had a survey and laboratory works. For the survey study, two production systems namely pastoral and agro-pastoral were considered. From each production system, two kebeles were selected purposively based on accessibility and potential of cow milk production. One hundred twenty households were randomly selected from purposively selected kebeles. For the laboratory part, forty samples of cow milk were analysed for chemical composition. The overall average lactation length and daily milk off-take of cow in this study were 256 days and 2.06 litres, respectively. None of the respondents washed the udder of the cow and only 6.7% of the pastoralists and 20% agro-pastoralists wash their hands before milking. Milk handling equipment were mainly plastic materials. Acacia ethaica, B. minimifolia, Blanites galabra and Solanum carense were the most commonly used smoking plant species in the area. The majority of the respondents (85.8%) produced traditional butter (Subag) and few households (10%) produced sour milk (Ciir), while very few (4.2%) households produced traditional cheese (Burcad). However, milk processing in the area is limited to wet season; when there is abundance of fodder. The average values of total solids, fat, protein, lactose and ash were 13.19%, 4.67%, 3.45%, 5.18% and 0.72%, respectively. However, significance differences (P&lt;0.05) were found between pastoral and ago-pastoral production systems in terms of total solids, fat, and protein. The chemical properties of milk samples obtained from pastoral and agro-pastoral areas were within the acceptable standard levels settled by different scholars. In general, milk producers should also be supported with strong extension service by way of introducing improved dairy technologies, improved milk handling and processing equipments. Furthermore, there is a need for further investigations on composition with various farming systems.

Trends in herbal pharmaceutical patent protection for Dairy industry: Perspectivefrom Grassroots innovations

The national patent regime had amended Patent Acton innovation as per requirement for protecting pharmaceutical product patents among member states of World Trade Organisation. In this respect, the study was conducted to understand patentability nature and prosecution timelines forpatent protected indigenous dairy technologies. Investigators had examined 28 herbal pharmaceutical patent grant(s) from grassroots innovators/outstanding knowledge holders. Patent applications were filed between 2007-2014, prosecution were held and accorded patent grant during 2019-2022. The study noted that Section 3 (d), (e) and (p) were principal factors involved while defending veterinary pharmaceutical patent applications. About 46 percent did not have Section 3 (d) objections inferring these medicinal practices followed by dairy farmers were unique. It was observed that majority of patent grants were in productcategory illustrating transformation of national patent regime from process patent to product-patent grant system. Overall time taken for availing grant was about ten years with an average prosecution period of 2.6 years. Therapeutic efficacy, synergisticaction and suitable claim amendments are pertinent features in responding to prosecution stages. These pharmaceutical product patents from social innovation are of interest to dairy industry. These experimental wisdom provide cost effective sustainable technologies for dairy health system and repurpose existing knowledge of local communities. It is paramount to nurture this bottom-up approach for improvising sustainable dairy health service delivery system.

Understanding heterogeneity in technology adoption among Indonesian smallholder dairy farmers

AbstractThis study aims to understand and profile smallholder farmers' technology adoption status. We collected cross‐sectional data from 600 smallholder dairy farming households in West Java, Indonesia. A Latent class cluster analysis identified two unique clusters of smallholder dairy farmers based on patterns in their adoption status of multiple dairy farming technologies. Cluster 1 (Low awareness/low adoption) had significantly lower awareness of all technologies, and among the “aware” farmers, technology adoption rates were also significantly lower compared to Cluster 2 (High awareness/high adoption). The Low awareness/low adoption cluster was older, had less formal education, managed fewer dairy cows, had less productive and less profitable dairy enterprises, lived further away from their cooperative and farmer group leader, and had fewer contacts with dairy extension staff. Farmers' responses to questions regarding reasons underpinning nonadoption decisions suggest that farmers face multilayered and heterogenous constraints to adopting dairy technologies. This insight can assist government, policymakers, and development professionals in designing technology dissemination programs that meet the unique characteristics of subgroups of farmers, ultimately improving the adoption of technologies. [EconLit Citations: Q12, Q16].

Clay-Catalyzed Ozonation of Hydrotalcite-Extracted Lactic Acid Potential Application for Preventing Milk Fermentation Inhibition

An unprecedented route for mitigating the inhibitory effect of lactic acid (LA) on milk fermentation was achieved through lactate adsorption on hydrotalcite (Ht) from simulated lactate extracts. During its regeneration by ozonation, Ht displayed catalytic activity that appeared to increase by addition of montmorillonite (Mt). Changes in the pH, Zeta potential and catalyst particle size during LA ozonation were found to strongly influence LA–LA, LA–catalyst and catalyst–catalyst interactions. The latter determine lactate protonation–deprotonation and clay dispersion in aqueous media. The activity of Mt appears to involve hydrophobic adsorption of non-dissociated LA molecules on silica-rich areas at low pH, and Lewis acid–base and electrostatic interactions at higher pH than the pKa. Hydrotalcite promotes both hydrophobic interaction and anion exchange. Hydrotalcite–smectite mixture was found to enhance clay dispersion and catalytic activity. This research allowed demonstrating that natural clay minerals can act both as adsorbents for LA extract from fermentation broths and as catalysts for adsorbent regeneration. The results obtained herein provide valuable and useful findings for envisaging seed-free milk clotting in dairy technologies.