Assessing the sustainability of EU organic and low input dairy farms

The EU funded Sustainable Organic and Low Input Dairy Systems project (SOLID), aims to support the improvement of sustainable production on organic and low input dairy farms. 10 farms in each of 9 countries participated in an initial interview based assessment. The article presents some results from the UK (Ten OMSCo and seven Calon Wen farms), Austria, Finland and Den-mark. Other countries - Romania, Italy, Spain, Greece and the Netherlands - are also involved in the project, but since these countries have very different production systems from the UK they are not covered in this articl

Milk from forage on organic dairy farms

Milk from forage (MFF) has been used as an indicator of dairy enterprise performance since the 1970s. There is considerable evidence associating MFF with good economic performance. ORC researcher Katharine Leach and intern Gaëlle Feur have been looking at the MFF performance of some organic dairy farms as part of the SOLID project

Sustainable grass farming

“Sustainable grassland farming” suggests a stable, productive system, with limited dependence on external inputs, which is economically viable. Effects on the wider environment, particularly air, water and wildlife, also need to be considered. Many principles contribute o sustainability, this article concentrate on two of them: “healthy soil” and “plant species diversity”

Monitoring Productivity of A UK Dairy System Aiming to Increase Soil Carbon, based on Diverse Swards and Incorporating Mob Grazing

There is interest in increasing soil organic matter (SOM), both to improve plant productivity, and augment carbon sequestration. One practice that may contribute to increasing SOM is a “mob grazing” approach. This involves high stocking density for a short period of time, and often grazing more mature swards, leaving higher cover and longer recovery times between grazings than is typical in the UK. This approach is likely to be best suited to swards that include a wide variety of grass and herb species, giving greater resilience than a purely ryegrass sward. The performance of dairy herds on such swards under this type of management in the UK has not been documented. This paper describes how a participatory approach is used to gather sward and animal production data from a farm where diverse swards and a “mob grazing” system have been developed over seven years, with the aim of increasing the return of organic matter to the soil

Integrating willow-based bioenergy and organic dairy production – the role of tree fodder for feed supplementation

Silvopastoral systems that combine livestock and trees offer two main advantages for the animals. First, trees modify microclimatic conditions which can have beneficial effects on pasture growth and animal welfare. Second, trees also provide alternative feed resources during periods of low forage availability. This paper reports on research carried out within the Sustainable Organic and Low Input Dairying (SOLID) project to investigate the multifunctional potential of a novel integrated willow-based bio-energy/organic dairy production system in the UK, especially the role of tree fodder for feed supplementation in organic dairy systems. The nutritional value of two ages (1st and 2nd year re-growth) of short rotation coppiced willow was assessed in two seasons (late spring and late summer) in 2011

Activities of organic farmers succeeding in reducing lameness in dairy cows

Sixty-seven organic producers were among 189 dairy farmers completing the “Healthy Feet Project” in the UK. This aimed to reduce lameness in dairy herds by implementing existing knowledge. Participants received input at two levels: monitoring alone, or monitoring with extra support through a single veterinary advisory visit, annual visits from a trained non-veterinary facilitator and materials and contacts to encourage change. On average lameness on organic farms reduced by 12 percentage points over the three year period. On the farms achieving the greatest reduction,the most common changes were improvements to tracks and cubicle comfort, and more frequent footbathing or foot trimming. Practices to improve foot cleanliness, such as more frequent removal of slurry, were less often adopted. Further progress might be achieved by improvements of foot hygiene. Several farms with low lameness that reduced prevalence further improved their handling facilities and treated cows more promptly

Assessing the sustainability of EU dairy farms with different management systems and husbandry practices

The EU funded SOLID project supports research which will contribute to the competitiveness of organic and low input dairy systems, and increase their sustainability. There are many aspects of the sustainability of dairy farms, relating to economic, environmental and social dimensions, and methods of animal husbandry can affect all of these. A UK spreadsheet based tool for rapid assessment of the whole farm was adapted for application on a range of organic and low input dairy farms across the EU. This tool was used to assess approximately ten organic dairy farms in each of four EU countries. Data on farm management practices collected in face to face interviews with farmers were entered and the tool then calculated a composite score for each of 11 separate “spurs” or dimensions contributing to stainability. The results can be used to stimulate discussion between farmers and point to areas where farm sustainability might be improved or topics that would benefit from further research

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Automated prediction of mastitis infection patterns in dairy herds using machine learning

© 2020, The Author(s). Mastitis in dairy cattle is extremely costly both in economic and welfare terms and is one of the most significant drivers of antimicrobial usage in dairy cattle. A critical step in the prevention of mastitis is the diagnosis of the predominant route of transmission of pathogens into either contagious (CONT) or environmental (ENV), with environmental being further subdivided as transmission during either the nonlactating “dry” period (EDP) or lactating period (EL). Using data from 1000 farms, random forest algorithms were able to replicate the complex herd level diagnoses made by specialist veterinary clinicians with a high degree of accuracy. An accuracy of 98%, positive predictive value (PPV) of 86% and negative predictive value (NPV) of 99% was achieved for the diagnosis of CONT vs ENV (with CONT as a “positive” diagnosis), and an accuracy of 78%, PPV of 76% and NPV of 81% for the diagnosis of EDP vs EL (with EDP as a “positive” diagnosis). An accurate, automated mastitis diagnosis tool has great potential to aid non-specialist veterinary clinicians to make a rapid herd level diagnosis and promptly implement appropriate control measures for an extremely damaging disease in terms of animal health, productivity, welfare and antimicrobial use