The Experts below are selected from a list of 185175 Experts worldwide ranked by ideXlab platform
Terry W. Lehenbauer - One of the best experts on this subject based on the ideXlab platform.
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Bovine Respiratory Disease (BRD) Risk Assessment Tool
2020Co-Authors: Gabriele Maier, W J Love, Randall J Anderson, Terry W. Lehenbauer, Betsy M. Karle, Sasha Dubrovsky, Deniece R. Williams, John D. Champagne, Joan D Rowe, Alison L. Van EenennaamAbstract:Author(s): Maier, Gabriele; Love, William; Karle, Betsy; Dubrovsky, Sasha; Williams, Deniece; Champagne, John; Anderson, Randall; Rowe, Joan; Lehenbauer, Terry; Van Eenennaam, Alison; Aly, Sharif | Abstract: The Bovine Respiratory Disease (BRD) risk assessment tool for preweaned calves on Dairies relies on scores that are proportional to the association measures observed between management risk factors and BRD. The scores were based on data sets including over 11,000 calves on 5 Dairies and more than 4,500 calves on 100 Dairies. Together with the California BRD scoring system for preweaned calves, producers, veterinarians and consultants can use this BRD risk assessment tool to objectively monitor BRD prevalence and adjust management factors that are dairy specific and that may be most important contributors to the risk for BRD in their calf herd. The methods of determining the risk of bovine respiratory disease (BRD) in preweaned dairy calves on a dairy farm are patent pending, 2018 The Regents of the University of California.
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survey of management practices related to bovine respiratory disease in preweaned calves on california Dairies
Journal of Dairy Science, 2016Co-Authors: W J Love, Randall J Anderson, Alison L. Van Eenennaam, Terry W. Lehenbauer, L E Hulbert, Betsy M Karle, Thomas B. FarverAbstract:In the spring of 2013, a survey of California (CA) Dairies was performed to characterize management practices related to bovine respiratory disease in preweaned calves, compare these practices across geographic regions of the state, and determine the principal components that explain the variability in management between herds. The questionnaire consisted of 53 questions divided into 6 sections to assess management practices affecting dairy calves from precalving to weaning. The questionnaire was mailed to 1,523 grade A licensed Dairies in CA and 224 responses (14.7%) were collected. Survey response rates were similar over the 3 defined regions of CA: northern CA, northern San Joaquin Valley, and the greater southern CA region. The mean size of respondent herds was 1,423 milking cows. Most Dairies reported raising preweaned calves on-site (59.7%). In 93.3% of Dairies, preweaned calves were raised in some form of individual housing. Nonsaleable milk was the most frequent liquid diet fed to preweaned heifers (75.2%). Several important differences were identified between calf-raising practices in CA and practices reported in recent nationwide studies, including herd sizes, housing practices, and sources of milk fed to heifers. The differences between the CA and nationwide studies may be explained by differences in herd size. Regional differences within CA were also identified. Compared with the 2 other regions, northern CA Dairies were found to have smaller herds, less Holstein cattle, calves remained with dams for longer periods of time after calving, were more likely to be certified organic Dairies, and raised their own calves more often. Principal component analysis was performed and identified 11 components composed of 28 variables (questions) that explained 66.5% of the variability in the data. The identified components and questions will contribute to developing a risk assessment tool for bovine respiratory disease in preweaned dairy calves.
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Survey of Beef Quality Assurance on California Dairies
Journal of dairy science, 2014Co-Authors: Sharif S Aly, Terry W. Lehenbauer, Heidi A Rossow, G. Acetoze, Michael Payne, Deanne Meyer, John Maas, Bruce R. HoarAbstract:In October 2011, a mail and online survey of California dairy personnel was conducted to assess producer familiarity with and support of the Dairy Animal Care and Quality Assurance (DACQA) program. The DACQA program addresses cattle of all ages (birth to culling) and standard practices that affect the use of dairy cattle for beef. The survey was mailed to a random sample of 1,071 California Dairies (65%) stratified by county, proportional to the number of Dairies in each respective county. Data from the 158 responses received (15%) showed that 90% of culled cows on California Dairies were sold for beef. However, personnel on more than one-half of California Dairies (56%) had no knowledge of how their herd cull cows ranked in terms of beef quality measures (body condition score, US Department of Agriculture carcass grade, and hot carcass weight). Survey results showed that a considerable proportion of California dairy personnel were aware of recommended injection practices including a preference for subcutaneous injections (45%). A drug inventory was maintained on approximately 50% of the state's Dairies. Management at these Dairies was twice as likely to test for drug residues compared with Dairies that did not maintain a drug inventory. More information about the DACQA program was requested by more than half of California Dairies.
Ma.ll. Palop - One of the best experts on this subject based on the ideXlab platform.
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Comparison of microflora, chemical and sensory characteristics of artisanal Manchego cheeses from two Dairies
Food Control, 2007Co-Authors: Lourdes Cabezas, Susana Seseña, J.m. Poveda, Isabel Sánchez, Ma.ll. PalopAbstract:Abstract It is widely accepted that cheeses, although manufactured according to the regulations of the Appellation of Origins, show important differences in the sensory attributes mainly due to the milk used (raw or pasteurised). This paper reports on comparison of changes in the microflora and chemical parameters related with proteolytic and lipolytic processes that occurred throughout eight months ripening in artisanal Manchego cheeses manufactured in two Dairies. The results obtained indicate few chemical or microbiological differences between the cheeses from the two Dairies; there were, however, differences in the proteolysis and lipolysis that gave rise to small but important sensory differences between cheeses from both Dairies. Odour attributes contributed most to the differentiation of cheeses from both Dairies.
W J Love - One of the best experts on this subject based on the ideXlab platform.
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Bovine Respiratory Disease (BRD) Risk Assessment Tool
2020Co-Authors: Gabriele Maier, W J Love, Randall J Anderson, Terry W. Lehenbauer, Betsy M. Karle, Sasha Dubrovsky, Deniece R. Williams, John D. Champagne, Joan D Rowe, Alison L. Van EenennaamAbstract:Author(s): Maier, Gabriele; Love, William; Karle, Betsy; Dubrovsky, Sasha; Williams, Deniece; Champagne, John; Anderson, Randall; Rowe, Joan; Lehenbauer, Terry; Van Eenennaam, Alison; Aly, Sharif | Abstract: The Bovine Respiratory Disease (BRD) risk assessment tool for preweaned calves on Dairies relies on scores that are proportional to the association measures observed between management risk factors and BRD. The scores were based on data sets including over 11,000 calves on 5 Dairies and more than 4,500 calves on 100 Dairies. Together with the California BRD scoring system for preweaned calves, producers, veterinarians and consultants can use this BRD risk assessment tool to objectively monitor BRD prevalence and adjust management factors that are dairy specific and that may be most important contributors to the risk for BRD in their calf herd. The methods of determining the risk of bovine respiratory disease (BRD) in preweaned dairy calves on a dairy farm are patent pending, 2018 The Regents of the University of California.
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survey of management practices related to bovine respiratory disease in preweaned calves on california Dairies
Journal of Dairy Science, 2016Co-Authors: W J Love, Randall J Anderson, Alison L. Van Eenennaam, Terry W. Lehenbauer, L E Hulbert, Betsy M Karle, Thomas B. FarverAbstract:In the spring of 2013, a survey of California (CA) Dairies was performed to characterize management practices related to bovine respiratory disease in preweaned calves, compare these practices across geographic regions of the state, and determine the principal components that explain the variability in management between herds. The questionnaire consisted of 53 questions divided into 6 sections to assess management practices affecting dairy calves from precalving to weaning. The questionnaire was mailed to 1,523 grade A licensed Dairies in CA and 224 responses (14.7%) were collected. Survey response rates were similar over the 3 defined regions of CA: northern CA, northern San Joaquin Valley, and the greater southern CA region. The mean size of respondent herds was 1,423 milking cows. Most Dairies reported raising preweaned calves on-site (59.7%). In 93.3% of Dairies, preweaned calves were raised in some form of individual housing. Nonsaleable milk was the most frequent liquid diet fed to preweaned heifers (75.2%). Several important differences were identified between calf-raising practices in CA and practices reported in recent nationwide studies, including herd sizes, housing practices, and sources of milk fed to heifers. The differences between the CA and nationwide studies may be explained by differences in herd size. Regional differences within CA were also identified. Compared with the 2 other regions, northern CA Dairies were found to have smaller herds, less Holstein cattle, calves remained with dams for longer periods of time after calving, were more likely to be certified organic Dairies, and raised their own calves more often. Principal component analysis was performed and identified 11 components composed of 28 variables (questions) that explained 66.5% of the variability in the data. The identified components and questions will contribute to developing a risk assessment tool for bovine respiratory disease in preweaned dairy calves.
J P Edwards - One of the best experts on this subject based on the ideXlab platform.
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new zealand dairy farmers preference investments in automation technology over decision support technology
Animal Production Science, 2020Co-Authors: B Dela T Rue, J P Edwards, C R Eastwood, S CuthbertAbstract:Dairy farmers are adopting precision technologies to assist with milking and managing their cows due to increased herd sizes and a desire to improve labour efficiency, productivity and sustainability. In the present study, we evaluated the adoption of technologies installed at or near the dairy, and milking practices, on New Zealand dairy farms. These data quantify current use of technology for milking and labour efficiency, and decision-making, and provide insight into future technology adoption. A telephone survey of 500 farmers, randomly selected from a database of New Zealand dairy farms, was conducted in 2018. Adoption for all farms is indicated for six automation technologies, including automatic cup removers (39%), automatic drafting (24%), automatic teat spraying (29%), computer-controlled in-shed feeding (29%), automatic plant wash (18%) and automatic yard wash systems (27%). Five data-capture technologies also included in the survey were electronic milk meters (8%), automatic animal weighing (7%), in-line mastitis detection (7%), automatic heat detection (3%) and electronic animal-identification readers (23%). Analysis by dairy type indicated an adoption level for the automation technologies in rotary Dairies of 36–77%, and 7–49% for data-capture technologies, with 10% having none of these 11 technologies installed. This compares with herringbone Dairies at 4–21% and 2–11% for automation and data-capture technologies respectively, with 56% having none of these technologies. Rotary Dairies, with a combination of automatic cup removers, automatic teat spraying, and automatic drafting, were associated with 43% higher labour efficiency (cows milked/h.person) and 14% higher milking efficiency (cows milked/h) than were rotary Dairies without all three technologies. Dairy farmers will increasingly use technologies that deliver value, and the present study has provided information to guide investment decisions, product development and research in areas such as applying technology in new workplaces.
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evaluating rates of technology adoption and milking practices on new zealand dairy farms
Animal Production Science, 2015Co-Authors: J P Edwards, B Dela T Rue, J JagoAbstract:This study assessed technology use and evaluated rates of technology adoption and milking practices on New Zealand dairy farms. Industry surveys were conducted in 2008 and 2013, when farmers were asked a series of questions relating to their physical farm details, their role in the business, their attitudes towards technology, the technologies they had on-farm and their levels of satisfaction. In total, 532 and 500 respondents were questioned in the two surveys, respectively, with a similar representation of rotary and herringbone Dairies. Questions relating to attitudes towards new technologies were subjected to a cluster analysis using the 2013 dataset. Farmers were classified into two categories, ‘fast’ and ‘slow’ adopters. Fast adopters are more likely to have a rotary, with a larger farm and more cows. The most common technology in herringbone Dairies is automatic vat washing and in rotary Dairies automatic cluster removers (ACR). Rotary Dairies equipped with ACR, automatic drafting and automatic teat spraying achieve greater labour utilisation (cows/labour unit). Around half of farmers with herringbone Dairies sometimes or always wait for slow-milking cows to milk out and 85% of farmers do not know the their ACR settings, highlighting significant potential to improve milking efficiency. Overall, technology is associated with greater labour utilisation. However, the benefits of each technology should be scrutinised to ensure appropriate investment decisions are made by farmers.
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large rotary Dairies achieve high cow throughput but are not more labour efficient than medium sized rotaries
Animal Production Science, 2013Co-Authors: J P Edwards, J G Jago, N LopezvillalobosAbstract:It was hypothesised that large rotary Dairies (>60 clusters) are not more operator efficient than medium-sized rotaries (40–60 clusters). This was tested by collecting and analysing milking data, during peak and late lactation, from block calving herds milked in rotary Dairies fitted with electronic milk meters. Data were collected from a total of 61 unique farms around New Zealand, with rotary Dairies ranging in size from 28 to 80 clusters, for two 5-day periods during spring (September–November 2010; 47 farms; average milk yield 23.1 kg/day) and autumn (February–April 2011; 60 farms; average milk yield 16.4 kg/day). A telephone survey was conducted to collect basic farm details: size, land area, the number of herds managed (including hospital herds), number of operators in the dairy and total labour input. A site visit was conducted to collect data such as the number of bails/stalls over the entrance and exit of the platform. The herd management software on each farm was programmed to record similar fields for each of the six machine manufacturers represented. Variables recorded included cow, date, identification time, bail number, milk yield, milking duration, and average milk flow rate. Calculations were performed to determine the number of cows milked and milk harvested per hour as well as the operator efficiency values for these measures and an estimate of cluster utilisation. Mixed models were used to determine the relationship between the dependent variables, cows milked per hour, milk harvested per hour, cows milked per operator per hour, milk harvested per operator per hour, and cluster utilisation, and the independent variables collected. Cows milked and milk harvested per hour increased linearly with rotary size, during both spring and autumn and there was a quadratic relationship between operator efficiency measures and rotary size, which peaked at ~60 clusters. Cluster utilisation, the amount of time clusters were harvesting milk out of the plant running time, was estimated at 46 ± 6%. Larger rotary Dairies on average achieved greater throughput; however, they were not more operator efficient than medium-sized rotaries. Thus, large rotary Dairies are best suited to farms where the additional throughput is required.
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increasing platform speed and the percentage of cows completingasecondrotationimprovesthroughputinrotary Dairies
Animal Production Science, 2012Co-Authors: J P Edwards, N Lopezvillalobos, J G JagoAbstract:This study sought to improve milking efficiency in rotary Dairies by modelling the effect of increasing platform speed on the percentage of cows requiring multiple rotations to complete milking, i.e. 'go-around' cows, and cow throughput. Milking data, including 376429 milking event records from 44530 cows, were collected from 62 commercial farms with rotary Dairies in New Zealand. Average rotation time, a function of platform speed and rotary size, was 10.0 � 1.5 min, mean milking duration 383 � 129 s, and mean milk yield 11.9� 3.8 kg per milking session. Milking duration data were normalised using a log10 transformation. An estimate of the percentage of 'go- around' cows and potential throughput over a range of platfor ms peeds were made using the NORMDIST function of Microsoft Excel 2010. Results indicate that throughput continues to increase with increasing platform speed, despite a greater number of 'go-around' cows. If a potential shadow effect (whereby a 'go-around' cow may cause the following bail to be unoccupied) is considered, the optimum percentage of 'go-around' cows was ~20%. Accordingly, a change of operating practices in many rotary Dairies is justified as the current target of 10% 'go-around' cows may limit throughput. In order to achieve greater cow throughput, platform speed should rather be set based on the capability of the operator attaching clusters. The difference between the current average rotation time and milking duration indicates that many Dairies can increase platform speed and thus throughput. Furthermore, many work routines can be accelerated so faster platform speeds can be achieved without increasing labour requirements. The increased throughput potential of larger Dairies is only realised when operated at fast platform speeds.
J.m. Poveda - One of the best experts on this subject based on the ideXlab platform.
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Enterococcus populations in artisanal Manchego cheese: Biodiversity, technological and safety aspects
Food Microbiology, 2010Co-Authors: Pedro Nieto-arribas, Susana Seseña, J.m. Poveda, Luis Cabezas, Rosa Chicón, Llanos PalopAbstract:Enterococci represent a considerable proportion of the microbiota in Manchego cheeses. In this study, a total of 132 enterococci isolated from good quality Manchego cheeses from two Dairies at different ripening times were genotypically characterized and identified using molecular techniques. Representative isolates from the clusters obtained after genotyping were assayed for some enzymatic activities considered to have a potential role in cheese ripening, and for 2,3-butanedione and acetoin production, evaluation of odor intensity and appearance in milk and safety evaluation. Enterococcus faecalis was the predominant specie, accounting for 81.8% of the total isolates, while Enterococcus faecium, Enterococcus hirae and Enterococcus avium were present in low proportions. The number of genotypes involved at each ripening time varied both between Dairies and with the ripening times; genotype E. faecalis Q1 being present in almost all the samples from both Dairies. Eight isolates showed a higher proteolytic activity and 3 isolates produced high quantities of acetoin-diacetyl, for which reason they are interesting from a technological standpoint. A low antibiotic resistance was found and almost all the strains were susceptible to clinically important antibiotics. On the contrary, only four isolates (E. faecalis C4W1 and N0W5, and E. faecium N32W1 and C16W2) did not harbor some of the virulence genes assayed.
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Comparison of microflora, chemical and sensory characteristics of artisanal Manchego cheeses from two Dairies
Food Control, 2007Co-Authors: Lourdes Cabezas, Susana Seseña, J.m. Poveda, Isabel Sánchez, Ma.ll. PalopAbstract:Abstract It is widely accepted that cheeses, although manufactured according to the regulations of the Appellation of Origins, show important differences in the sensory attributes mainly due to the milk used (raw or pasteurised). This paper reports on comparison of changes in the microflora and chemical parameters related with proteolytic and lipolytic processes that occurred throughout eight months ripening in artisanal Manchego cheeses manufactured in two Dairies. The results obtained indicate few chemical or microbiological differences between the cheeses from the two Dairies; there were, however, differences in the proteolysis and lipolysis that gave rise to small but important sensory differences between cheeses from both Dairies. Odour attributes contributed most to the differentiation of cheeses from both Dairies.
