An endocrine hypothesis to explain obesity-related lactation insufficiency in breastfeeding mothers.

In this Research Reflection I shall develop and validate the hypothesis that lactation insufficiency in obese breastfeeding mothers has an endocrine explanation. I shall not present data, but I shall review pertinent literature to show that obesity is associated with a partial or sometimes complete failure to initiate and maintain lactation, and critically examine the belief that this is due to psychosocial factors, a failure of prolactin secretion or both. Since progesterone is inhibitory to lactogenesis and oestrogens are inhibitory to milk secretion, I shall then explore the possibility that these steroids are linked to lactation failure, through sequestration of progesterone and aromatization of oestrogen in mammary adipose tissue. I shall conclude by describing experimental approaches in animal models that could be used to test this hypothesis.

DairyCare 'blueprint for action': husbandry for wellbeing.

'Keep calm and carry on' was a wartime message to the British public that has achieved renewed fame in the last few years. The strategy was simple: in times of extreme difficulty a cool head combined with stoicism is an appropriate response to ensure a successful outcome. The latest major challenge to society (COVID-19) met with a very different response, and only history will reveal whether 'Stay home and worry' will be equally effective. In devising blueprints or strategies it is extremely important to have a clear idea of what you are trying to achieve, whether it be maintaining world freedom or stopping a pandemic. In the case of livestock agriculture, it is helping to feed a rapidly growing global population in harmony with the needs of current and future generations. I hope that I have stated this clearly, and calmly. If so, I ask you to picture a scene. We are on a Calm Farm. Dairy animals go about their daily lives contented, unhurried and focused on the simple feeding and socialising activities that are so important to them. Unstressed, their productive capacities and abilities to avoid and, when necessary, cope with physiological and pathological challenges are maximised. They are not alone: the exact same characteristics also apply to the farmer and husbandry staff that we meet. How is this calm farming approach relevant to the aspirations we had when we established the EU COST Action DairyCare? Our objective was to harness the power of computing technologies to assist our management of dairy livestock. A simple rearrangement leads us to Computing Assisted Livestock Management, CALM. In this short Research Reflection I shall assess how far we have come towards the achievement of sensible goals related to technological assessment of dairy animal wellbeing, and speculate on what more things both can and need to be done to finish the job. It is a personal account. DairyCare was a major collaboration involving several hundred active researchers. To involve them all would be impossible, and I do not pretend to speak for them all. As will become evident, the wide skills base that was assembled was so successful in its primary objectives that different skills, chiefly in economics, are now needed to exploit all of the technological advance that has been achieved. DairyCare succeeded in a second direction. Whilst the focus was technology development, by assembling a large cohort of biologists with animal welfare interests, it soon became apparent that technology should run alongside and help to enable improved management practices. This Special Issue is, therefore, in two sections. The first is dedicated to technology development and the second to a novel management practice that has the potential to significantly improve the wellbeing of cows and calves: cow-calf contact rearing. That section is introduced by my DairyCare colleague, Sigrid Agenäs.

Sensing solutions for improving the performance, health and wellbeing of small ruminants.

Diversity of production systems and specific socio-economic barriers are key reasons explaining why the implementation of new technologies in small ruminants, despite being needed and beneficial for farmers, is harder than in other livestock species. There are, however, helpful peculiarities where small ruminants are concerned: the compulsory use of electronic identification created a unique scenario in Europe in which all small ruminant breeding stock became searchable by appropriate sensing solutions, and the largest small ruminant population in the world is located in Asia, close to the areas producing new technologies. Notwithstanding, only a few research initiatives and literature reviews have addressed the development of new technologies in small ruminants. This Research Reflection focuses on small ruminants (with emphasis on dairy goats and sheep) and reviews in a non-exhaustive way the basic concepts, the currently available sensor solutions and the structure and elements needed for the implementation of sensor-based husbandry decision support. Finally, some examples of results obtained using several sensor solutions adapted from large animals or newly developed for small ruminants are discussed. Significant room for improvement is recognized and a large number of multiple-sensor solutions are expected to be developed in the relatively near future.

Focused breastfeeding counselling improves short- and long-term success in an early-discharge setting: A cluster-randomized study.

Length of postnatal hospitalization has decreased and has been shown to be associated with infant nutritional problems and increase in readmissions. We aimed to evaluate if guidelines for breastfeeding counselling in an early discharge hospital setting had an effect on maternal breastfeeding self-efficacy, infant readmission and breastfeeding duration. A cluster randomized trial was conducted and assigned nine maternity settings in Denmark to intervention or usual care. Women were eligible if they expected a single infant, intended to breastfeed, were able to read Danish, and expected to be discharged within 50 hr postnatally. Between April 2013 and August 2014, 2,065 mothers were recruited at intervention and 1,476 at reference settings. Results show that the intervention did not affect maternal breastfeeding self-efficacy (primary outcome). However, less infants were readmitted 1 week postnatally in the intervention compared to the reference group (adjusted OR 0.55, 95% CI 0.37, -0.81), and 6 months following birth, more infants were exclusively breastfed in the intervention group (adjusted OR 1.36, 95% CI 1.02, -1.81). Moreover, mothers in the intervention compared to the reference group were breastfeeding more frequently (p < .001), and spend more hours skin to skin with their infants (p < .001). The infants were less often treated for jaundice (p = 0.003) and there was more paternal involvement (p = .037). In an early discharge hospital setting, a focused breastfeeding programme concentrating on increased skin to skin contact, frequent breastfeeding, good positioning of the mother infant dyad, and enhanced involvement of the father improved short-term and long-term breastfeeding success.

Engineering to support wellbeing of dairy animals.

Current trends in the global milk market and the recent abolition of milk quotas have accelerated the trend of the European dairy industry towards larger farm sizes and higher-yielding animals. Dairy cows remain in focus, but there is a growing interest in other dairy species, whose milk is often directed to traditional and protected designation of origin and gourmet dairy products. The challenge for dairy farms in general is to achieve the best possible standards of animal health and welfare, together with high lactational performance and minimal environmental impact. For larger farms, this may need to be done with a much lower ratio of husbandry staff to animals. Recent engineering advances and the decreasing cost of electronic technologies has allowed the development of 'sensing solutions' that automatically collect data, such as physiological parameters, production measures and behavioural traits. Such data can potentially help the decision making process, enabling early detection of health or wellbeing problems in individual animals and hence the application of appropriate corrective husbandry practices. This review focuses on new knowledge and emerging developments in welfare biomarkers (e.g. stress and metabolic diseases), activity-based welfare assessment (e.g. oestrus and lameness detection) and sensors of temperature and pH (e.g. calving alert and rumen function) and their combination and integration into 'smart' husbandry support systems that will ensure optimum wellbeing for dairy animals and thereby maximise farm profitability. Use of novel sensors combined with new technologies for information handling and communication are expected to produce dramatic changes in traditional dairy farming systems.