SELECTION METHODOLOGY FOR A DAIRY BREED IN A TROPICAL ENVIRONMENT

ABSTRACT Aim of this thesis is to evaluate the genetic and racial structure of a dairy cattle breed reared in Tropics, joint to the investigation of the best selection methodology for productive traits adapted to low/medium input production system. The genetic and racial structure of the Carora Breed, a Venezuelan dairy cattle population, was studied through the analysis of the whole pedigree. The database included 4324 living animals (including culled bulls used for AI), born from 1983 to 2010. The racial composition of Carora breed was studied clustering the current population into 5 racial groups, identified on the basis of the individual racial proportion, in order to detect the breed composition in this synthetic breed. The Carora pedigree resulted quite complete, and the inbreeding level is below the level of 1%, even if the size of this breed is reduced. From this study an increase in the Brown Swiss genes proportion was detected, indicating the possibility of a reduction in adaptability linked to the features of this breed, typically suitable for temperate climates. Genetic parameters of weight at 18 months (W18) and milk yield (MY) of 1781 Venezuelan cows were estimated with a Multiple Trait Animal Model, including the direct breed effects and the epistatic loss. Results showed that direct breeds effects and epistatic loss affected milk trait, while they seemed not important for weight. An high percentage of European genes positively influenced milk production. Four random regression models were used on 95606 test day records to obtain genetic parameters for test day yield and persistency. Akaike\u2019s information criterion (AIC) and minus twice log likelihood (-2logL), were used to compare the models and to choose the best one fitting the data. Estimated heritability for milk yield ranged from 0.21 to 0.30, while repeatability ranged from 0.50 to 0.56. Five persistency measures were calculated taking in account different point of the lactation. In general, heritability values for the five measures of persistency ranged from low to moderate (from 0.18 to 0.26), indicating the possibility of new selection opportunities. The use of persistency indexes accounting for milk yield, may allow the selection of individuals able to express their potential genetic values in tropical environment, without incurring in excessive heat stress losses

From criminology to gerontology: case studies of experiential authenticity in higher education

This article discusses two examples of higher education teaching interventions with evidence of high levels of student engagement resulting from experiential authenticity – the Prison: Learning Together module and an intergenerational module about ageing (NUAGE). The article outlines the aims and objectives of the two programmes and discusses the core findings from the module evaluations. The findings demonstrate that creating communities of practice using experiential authenticity enhances the learning journey for students, resulting in greater participation. Experiential authenticity has been identified as distinct from other forms of experiential learning with common features thought to result in sustained student engagement included collaboration with peers, an authentic experience of working with learners from outside the university, and reciprocal respect between members of diverse groups. We make suggestions as to how these engagement themes could be applied to other higher education settings whilst acknowledging the challenges involved

Effects of climatic conditions on the lying behavior of a group of primiparous dairy cows

Currently, lying behavior can be assessed using continuous observations from sensors (e.g., accelerometers). The analysis of digital data deriving from accelerometers is an effective tool for studying livestock behaviors. Despite the large interest in the lying behavior of dairy cows, no reference was found in literature regarding the prediction of lying behavior as a function of the interaction of environmental parameters. The present study aimed to evaluate the influence of climatic conditions (temperature-humidity index, solar radiation, air velocity and rainfalls) on the lying behavior of a group of primiparous dairy cows, using data from accelerometers, and develop a prediction model to identify and predict the lying behavior of dairy cows as a function of the effects of environmental conditions. Results from the. GLM Procedure (SAS) showed that the model was highly significant (p < 0.001) and the r2 was 0.84. All of the effects in the model resulted in being highly significant (p < 0.001). This model, if validated properly, could be a valid early warning system to identify any deviation from the expected behavior, and to assess the effectiveness of thermal stress mitigation strategies

Lost in translation: how can education about dementia be effectively integrated into medical school contexts? A realist synthesis

\ua9 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. OBJECTIVES: The prevalence of dementia in both community and hospital settings requires a clinical workforce that is skilled in diagnosis and management of the condition to competently care for patients. Though evidence of successful educational interventions about dementia exists, effective translation into medical school curricula is the exception rather than the norm. DESIGN: We adopted a realist synthesis approach following Realist And MEta-narrative Evidence Syntheses: Evolving Standards (RAMESES) guidelines to answer the following questions: (1) what are the barriers to integrating effective interventions about dementia into medical school curricula and (2) where they are successfully delivered, what are the contextual factors that allow for this enactment? DATA SOURCES: We searched PubMed, Embase, CINAHL and PsycINFO using the MesH terms Schools, Medical; Students, Medical; Education, Medical AND Neurocognitive disorders or the closest possible set of terms within each database. ELIGIBILITY CRITERIA: Undergraduate or graduate entry medical school programme, teaching and learning focussing on dementia, evaluating student outcomes (satisfaction, knowledge, skills, attitudes or behaviours), interventions described clearly enough to classify teaching method, any research design (quantitative and qualitative), English language. DATA EXTRACTION AND SYNTHESIS: We used a shared spreadsheet to enter key information about eligible studies and the reasons for excluding studies that did not fit eligibility criteria. We extracted descriptive data about the nature of educational interventions and narrative information as to barriers and facilitators to implementing those interventions. RESULTS: Our initial literature search identified 16 relevant papers for review. Systematic extraction of data informed the development of an initial programme theory (IPT) structured around four contextual barriers: \u27culture\u27, \u27concern for patient welfare\u27, \u27student attitudes\u27 and \u27logistics\u27 with associated facilitatory mechanisms embed medical education about dementia. CONCLUSIONS: We outline the process of generating our IPT, including overlap with Cultural Historical Activity Theory. We outline our intention to refine our programme theory through ongoing review of the evidence base and collaboration with stakeholders, with the aim of finalising a model for successful integration of dementia education

Incidence of keratitis of varying severity among contact lens wearers

AIM: To determine the incidence of non-severe keratitis (NSK) and severe keratitis (SK) among wearers of current generation contact lenses. METHODS: A 12 month, prospective, hospital based epidemiological study was conducted by examining all contact lens wearers presenting with a corneal infiltrate/ulcer to a hospital centre in Manchester. A clinical severity matrix was used to differentiate between NSK and SK, based on the severity of signs and symptoms. The size of the hospital catchment population and the wearing modalities (daily wear (DW) or extended wear (EW)) and lens types being used were estimated from relevant demographic and market data. RESULTS: During the survey period, 80 and 38 patients presented with NSK and SK, respectively. The annual incidences (cases per 10,000 wearers) for each wearing modality and lens type were: DW rigid--NSK 5.7, SK 2.9; DW hydrogel daily disposable--NSK 9.1, SK 4.9; DW hydrogel (excluding daily disposable)--NSK 14.1, SK 6.4; DW silicone hydrogel--NSK 55.9, SK 0.0; EW rigid--NSK 0.0, SK 0.0; EW hydrogel--NSK 48.2, SK 96.4; EW silicone hydrogel--NSK 98.8, SK 19.8. The difference in SK between EW hydrogel and EW silicone hydrogel was significant (p = 0.04). CONCLUSIONS: A clinical severity matrix has considerable utility in assessing contact lens related keratitis. There is a significantly higher incidence of SK in wearers who sleep in contact lenses compared with those who only use lenses during the waking hours. Those who choose to sleep in lenses should be advised to wear silicone hydrogel lenses, which carry a five times decreased risk of SK for extended wear compared with hydrogel lenses

Precision livestock farming : an overview of image and sound labelling

the shift in livestock farming methods from extensive to intensive poses a number of significant challenges for animal welfare, environmental sustainability and food security. automatic animal monitoring may be one method of supporting farmers in achieving farm sustainability. Precision Livestock Farming (PLF) can combine audio and video information into automated tools that serve as early warning systems for the farmer if health or welfare problems are detected. First, reliable sounds and images that indicate poor animal welfare must be identified by animal experts. then, through careful labelling of sounds or images, it is possible to create a complete database which is suitable for algorithm development. Labelling is an activity which precisely defines and interprets detailed variations in measured field signals. This study will describe sound and image labelling with the aim of developing an automated tool

COVID-19 Mortality in Patients with a Ward-Based Ceiling of Care

\ua9 2021 by the authors.Objectives: COVID-19 patients thought unlikely to benefit from organ support, thereby having a ward-based ceiling of care (WBCoC), represent a distinct subgroup. There are no associated studies in mortality. We sought to identify clinical risk factors for inpatient COVID-19 mortality. Design and setting: this was a retrospective observational study of patients admitted to Northumbria Healthcare NHS Foundation Trust. Clinical variables were associated with inpatient mortality via logistic regression. Participants: all patients admitted with COVID-19 infection and who had a WBCoC at point of admission were included (n = 114). Main outcome measures: the outcome measure was inpatient death

Frequency analysis of vocalisations in relation to the growth in broiler chicken

Poultry is one of the lowest cost sources of animal protein in the world and, more than 40 billion chickens are produced every year globally. For reasons of public concern and due to the large number of animals involved, it is considered by many people to be important to take care of the welfare and health status of the chickens reared under intensive farm conditions. Precision Livestock Farming (PLF) can support the farmer in his day to day routine management through the use of sensors, cameras and microphones, and these have the potential to improve production and to enable monitoring of welfare status. In this context, the 7FP EU-PLF project aims to test the efficiency of the use of those sensors at farm level. In particular, the aim of this study was to record and analyse broiler vocalisations under normal farm conditions and to identify the relation between animal sounds, and growth trends. Recordings were made at regular intervals, for the entire short production life of the birds, in order to evaluate the variation of frequency and bandwidth of the sounds emitted by the animals during the cycle of production. The recordings were made in an automated, non-invasive and non-intrusive way and the sound data was compared with the weight of the birds automatically measured by a 'step on scale' placed on the floor of the broiler house. Sound analysis was performed based on the amplitude and frequency of the sound signal in audio files recorded at farm level. Through analysis of the sounds recorded, a significant correlation (P<0.001) between the frequencies of the vocalisations recorded and the weight of the broilers was found across all production cycles and farms assessed. The ongoing goal will be the development of a tool able to automatically detect the growth of the animals based on the frequency of the vocalisation emitted by the birds at different ages, and as a possible tool for determining deviations from their expected growth trend

Risk factor for footpad dermatitis and hock burns in broiler chickens

Footpad dermatitis (FPD) and hock burn (HB) are a major welfare concern in broiler chicken farming. In general, foot lesions are linked to poor environmental conditions. Ulcers caused by advanced lesions can negatively affect the gait of the birds, with effects on the welfare of animals, including, in the worst cases, inability to reach the feed or water. FPD and HB score data were collected manually at two broiler farms across Europe, during welfare assessments performed within the EU-PLF (Precision Livestock Farming) project, which is supported by the European Commission. This ongoing project aims to create "added value" for the farmer through the application of sensors and information technology at farm level. On those broiler farms, a number of variables such as temperature, relative humidity, ventilation rate, bird weight, light schedule, and feed and water consumption rates are measured automatically. The welfare of the chickens was assessed three times per cycle (at week 3, 4 and 5), scoring FPD, HB, gait score, cleanliness of the birds and litter quality. Data analysis was performed by combining data from the welfare assessments with environmental data collected by the automatic monitoring systems. The analysis showed that FPD and HB were more frequent when the flock was exposed to poor environmental conditions for prolonged periods of time. As environmental conditions can be measured continuously, and the risk factor for FPD and HB increases with poor environmental conditions, there is potential to develop a detection and control system for foot and hock lesions.</p

Application of an early warning to detect enteropathies in intensive broiler farming

Remote and wearable sensors can be combined with smart algorithms to continuously monitor a wide range of animal responses linked with stress, health status and welfare. The idea of real time monitoring assumes a simple way to measure variable that can give an early warning for the farmer providing clear and suitable alerts to help them in their routine. The prompt reaction to any change in health, welfare and productive status is the key for the reduction in drugs usage and for the improvement of animal wellbeing. In intensive poultry farms, enteric disorders represent a major health issue; these pathologies could be multifactorial and are a major cause of performances reduction. Monitoring poultry health status takes a key role for management to reduce chemicals/drugs and their costs. Nowadays, the preventive use of antibiotics in intensive farming system is common and this practice could lead to the spreading of drugs in the environment, contributing to the phenomenon of antibiotic resistance. Due to the high priority of this issue, it is of great importance the early detection of any health problem in intensive farming. Precision Livestock Farming, through the combination of cheap technologies and specific algorithms, can provide valuable information for farmers starting from the huge amount of data collected in real time at farm level. This study was aimed to the application of a PLF diagnostic tool, sensible to the variation of volatile organic compounds, to promptly recognize enteric problems in intensive farming, supporting veterinarians and enabling specific treatments in case of disease