ProPIG - Organic pig health, welfare and environmental impact across Europe

Organic production is perceived by consumers as being superior in animal welfare and sustainability and the demand for organic pork products is slowly increasing. Within the past ten years a variety of husbandry and management systems have been developed across the EU, ranging from farms with pigs outdoors all year round using local breeds to farms with housed pigs having concrete outside runs and using conventional breeds (CorePIG, Rousing et al, 2011). So far, mainly clinical parameters have been used to describe the health situation on organic pig farms, identifying some key problems, such as weaning diarrhoea and piglet mortality. Organic pig production is - amongst others - characterised through a holistic approach based on the EU Regulation (EC) No 834/2007 and the IFOAM principles: ‘health, ecology, fairness and care’. This clearly states that health is more than absence of clinical symptoms and, the relation between animals and their environment is identified: ‘Health’ is defined as ‘the wholeness and integrity of living systems. It is not simply the absence of illness, but the maintenance of physical, mental, social and ecological well-being’ (IFOAM; 2006). Concepts of animal welfare include physical and mental welfare as well as the concept of naturalness (Fraser 2003), which is often interpreted as the ability to perform natural behaviour. Verhoog et al (2003) describe three main approaches within organic agriculture’s concept of nature and naturalness: the no-chemicals approach, the agro-ecology approach and the integrity approach. Applying those concepts to organic pig production can highlight potential conflicts: outdoor systems are perceived as the optimal housing system for pigs, as they allow natural behaviour such as rooting. However, this behaviour can cause damage to the grass cover and furthermore the manure fate in outdoor areas needs to be considered. A few studies on outdoor pig production have shown a clear N and P surplus and a high degree of distribution heterogeneity in outdoor areas, increasing the risk of N and P losses (Watson et al. 2003). Robust and competitive organic pig production needs to encompass low environmental impacts and good animal health and welfare. So far few studies have quantified both aspects in different pig husbandry systems. In addition, the theory that improving animal health and welfare reduces environmental impacts through decreased medicine use, improved growth rate and feed conversion efficiency has still to be verified. The aim of the CoreOrganic2 project ProPIG (2011-2014; carried out in eight European countries) is to examine the relationship between health, welfare and environmental impact. On-farm assessment protocols will be carried out on 75 farms in three pig husbandry systems (outdoor, partly outdoor, indoor with concrete outside run). Environmental impact will be assessed using both Life Cycle Assessment and calculations of nutrient balances at farm and outdoor area level. Animal health and welfare will be evaluated from animal based parameters including clinical and selected behavioural parameters. Results will be fed back and used by the farmers to decide farm specific goals and strategies to achieve these goals. As an outcome, all farms will create their individual health, welfare and environmental plan, which will be reviewed after one year to allow continuous development. This will provide the opportunity not only to investigate, but also improve the influence of organic pig farming systems on animal welfare and environmental impact. This fulfils the fourth IFOAM principle of care: ‘Organic Agriculture should be managed in a precautionary and responsible manner to protect the health and well-being of current and future generations and the environment’ (IFOAM, 2006)

Prediction of metabolic clusters in early lactation dairy cows using models based on 2 milk biomarkers

The aim of this study was to describe metabolism of early-lactation dairy cows by clustering cows based on glucose, insulin-like growth factor I (IGF-I), free fatty acid, and beta-hydroxybutyrate (BHB) using the k-means method. Predictive models for metabolic clusters were created and validated using 3 sets of milk biomarkers (milk metabolites and enzymes, glycans on the immuno-gamma globulin fraction of milk, and Fourier-transform mid-infrared spectra of milk). Metabolic clusters are used to identify dairy cows with a balanced or imbalanced metabolic profile. Around 14 and 35 d in milk, serum or plasma concentrations of BHB, free fatty acids, glucose, and IGF-I were determined. Cows with a favorable metabolic profile were grouped together in what was referred to as the "balanced" group (n = 43) and were compared with cows in what was referred to as the "other balanced" group (n = 64). Cows with an unfavorable metabolic profile were grouped in what was referred to as the "imbalanced" group (n = 19) and compared with cows in what was referred to as the "other imbalanced" group (n = 88). Glucose and IGF-I were higher in balanced compared with other balanced cows. Free fatty acids and BHB were lower in balanced compared with other balanced cows. Glucose and IGF-I were lower in imbalanced compared with other imbalanced cows. Free fatty acids arid BHB were higher in imbalanced cows. Metabolic clusters were related to production parameters. There was a trend for a higher daily increase in fat- and protein-corrected milk yield in balanced cows, whereas that of imbalanced cows was higher. Dry matter intake and the daily increase in dry matter intake were higher in balanced cows and lower in imbalanced cows. Energy balance was continuously higher in balanced cows and lower in imbalanced cows. Weekly or twice-weekly milk samples were taken and milk metabolites and enzymes (milk glucose, glucose-6-phosphate, BHB, lactate dehydrogenase, N-acetyl-beta-D-glucosaminidase, isocitrate), immunogamma globulin glycans (19 peaks), and Fourier-transform mid-infrared spectra (1,060 wavelengths reduced to 15 principal components) were determined. Milk biomarkers with or without additional cow information (days in milk, parity, milk yield featurs) were used to create predictive models for the metabolic clusters. Accuracy for prediction of balanced (80%) and imbalanced (88%) cows was highest using milk metabolites and enzymes combined with days in milk and parity. The results and models of the present study are part of the GplusE project and identify novel milk-based phenotypes that may be used as predictors for metabolic and performance traits in early-lactation dairy cows

Non-pharmacological management of osteoporosis: a consensus of the Belgian Bone Club

This consensus article reviews the various aspects of the non-pharmacological management of osteoporosis, including the effects of nutriments, physical exercise, lifestyle, fall prevention, and hip protectors. Vertebroplasty is also briefly reviewed. Non-pharmacological management of osteoporosis is a broad concept. It must be viewed as an essential part of the prevention of fractures from childhood through adulthood and the old age. The topic also includes surgical procedures for the treatment of peripheral and vertebral fractures and the post-fracture rehabilitation. The present document is the result of a consensus, based on a systematic review and a critical appraisal of the literature. Diets deficient in calcium, proteins or vitamin D impair skeletal integrity. The effect of other nutriments is less clear, although an excessive consumption of sodium, caffeine, or fibres exerts negative effects on calcium balance. The deleterious effects of tobacco, excessive alcohol consumption and a low BMI are well accepted. Physical activity is of primary importance to reach optimal peak bone mass but, if numerous studies have shown the beneficial effects of various types of exercise on bone mass, fracture data as an endpoint are scanty. Fall prevention strategies are especially efficient in the community setting, but less evidence is available about their effectiveness in preventing fall-related injuries and fractures. The efficacy of hip protectors remains controversial. This is also true for vertebroplasty and kyphoplasty. Several randomized controlled studies had reported a short-term advantage of vertebroplasty over medical treatment for pain relief, but these findings have been questioned by recent sham-controlled randomized clinical studies

Qualitative Behaviour Assessment of dogs in the shelter and home environment and relationship with quantitative behaviour assessment and physiological responses

Qualitative Behaviour Assessment (QBA) was utilised to examine the behavioural expression of dogs in different housing environments and the results were compared to measurements of quantitative behaviour and physiology. Firstly, quantitative behavioural and physiological differences were investigated between dogs in 3 housing environments (short-term shelter confinement, ≤ 4 days, n = 10; long-term shelter confinement, > 30 days, n = 9; and domestic living situations, n = 10). Each dog’s behaviour was recorded over a 4 h period using an ethogram consisting of 21 behaviour categories. Dogs in both short (SD) and long (LD) term confinement displayed higher frequencies of paw-lifting (P < 0.001), displacement behaviour (digging and/or drinking P < 0.01), vocalisation (P < 0.05) and locomotory activity (P < 0.001) compared to dogs maintained as family pets (PD). Salivary cortisol concentrations did not differ amongst groups (H = 0.55, P = 0.76). Secondly, quantitative behaviour and QBA were combined to investigate differences among these same 29 dogs when filmed for 1 min in both their Home Environment and a standardised Novel Environment. QBA of these video clips was made by 10 observers utilising Free-Choice-Profiling methodology. Generalised Procrustes Analysis was used to calculate a consensus profile and three main dimensions of dog expression in both Environments. The observers repeated dog scores on these dimensions with high accuracy (P < 0.001). Observers perceived dogs as more ‘relaxed/content’ in the Home Environment (H = 17.86, P < 0.0001), and more ‘calm/relaxed’ in the Novel Environment (H = 13.58, P < 0.001), than SD and LD dogs. In the Novel Environment, LD dogs were perceived as more ‘inquisitive/curious’ (H = 5.97, P < 0.05), and SD dogs as more ‘curious/cautious’ (H = 6.82, P < 0.05), than the other groups. Quantitative assessment of the 1 min Home and Novel Environment video clips were analysed using Principle Component Analysis (PCA), generating two main factors explaining 88% and 76% of the variation respectively. PCA factor 1 (‘rest’) and QBA Dimension 1 (‘relaxed/content’) correlated (P < 0.0001) in the Home Environment’. In the Novel Environment PCA factor 1 (‘stand’, ‘sniff’) correlated with QBA Dimension 1 (‘clam/relaxed’) and PCA factor 2 (‘sniff’, ‘walk’) correlated with QBA Dimension 2 (‘curious/inquisitive’). There was no correlation between QBA dimensions and cortisol concentrations. In sum, these results indicate that a combined quantitative/qualitative assessment facilitates the interpretation of behavioural variances resulting from housing differences and supports utilising QBA for the assessment of dog behavioural expression

Genome-wide association for milk production and lactation curve parameters in Holstein dairy cows

peer reviewe

A genome-wide association study for calving interval in holstein dairy cows using weighted single-step genomic BLUP approach

peer reviewe