Pasture-based livestock systems, often located in High Value Nature farmland areas, hold the greatest potential to deliver public goods across European agricultural systems. They play an important role in preserving agricultural landscapes, farmland biodiversity, cultural heritage, and in sustaining rural development. However, many of these functions are ignored in evaluation frameworks because public goods do not have market price and are often ignored in policy design, so farmers do not get the appropriate incentives to provide them. Different conceptual frameworks can be utilized to evaluate the multiple functions or services of these systems: Multifunctional Agriculture, Ecosystem Services, and Total Economic Value. We analyze the common characteristics of these concepts (e.g. they place human benefits and societal demands at the core of their definitions), their specificities (e.g. use of different units of analysis and spatial-temporal scales), and how they can be embedded in the wider concept of sustainability. Finally, we illustrate how the different concepts can be combined to evaluate pasture-based livestock farming systems from a socio-cultural and economic perspective. The public goods (ecosystem services) provided by representative case studies in Mediterranean and Nordic regions are quantified (also in monetary terms) under different environmental/policy scenarios. The results show that there is a clear underestimation of the socio-cultural and economic values of ecosystem services provided by these farming systems. They also show that the social welfare loss linked to further abandonment of livestock farming, and the associated environmental degradation, is very large. From a societal perspective, it is necessary to jointly measure the biophysical, socio-cultural and monetary values of ecosystem services (market and nonmarket) in order to promote the sustainability of pasture-based livestock systems.

Greenhouse gas emissions from livestock production have a major impact on the environment. Life cycle assessment (LCA) is an accepted method to assess those environmental impacts associated with all stages of products life from cradle to grave, and is used to determine the carbon footprint (CF) of animal origin products. CF is just an environmental indicator to assess sustainability of livestock products, such as milk, beef, pork, chicken, eggs, etc. and is used on products packaging as a so-called carbon label to inform supply chain professionals about the relative impacts of different products and activities. From the published studies who assessed the impact of production of milk, beef, lamb, pork, chicken and eggs using LCA, it is concluded that production of 1 kg of beef used most land and energy and had highest global warming potential, followed by production of 1 kg of lamb, pork, chicken, eggs and milk. However, it should be pointed out that LCA results for livestock products do not include environmental consequences of competition for land between humans and animals, and consequences of land-use changes.

Climate change is a growing international concern, and it is well established that the release of greenhouse gases (GHG) is a contributing factor. So far, within animal production, there is little or no concerted effort on long-term breeding strategies to mitigate against GHG from ruminants. In recent years, several consortia have been formed to collect and combine data for genetic evaluation. The discussion areas of these consortia focus on (1) What are methane-determining factors, (2) What are genetic parameters for methane emissions, (3) What proxies can be used, and what is their association with methane emission, and (4) How to move on with breeding for lower emitting animals? The methane-determining factors can be divided into four groups: (1) rumen microbial population, (2) feed intake and diet composition, (3) host physiology and (4) host genetics. The genetic parameters show that enteric methane is a heritable trait, and that it is highly genetically correlated with dry matter intake. So far, the most useful proxies relate to feed intake, milk mid IR spectral data and fatty acids in the milk. To be able to move on with a genetic evaluation and ranking of animals for methane emission, it is crucial to make measurements on commercial farms. In order to make that possible, it will be necessary to develop phenotypes that can be used by the farmer to optimise the production on farm level. Also, it is crucial to develop equipment that makes it possible to make measurements without interfering with everyday routines or identify proxies that are highly related to methane and which could easily be measured on a large scale. International collaboration is essential to make progress in this area. This is both in terms of sharing ideas, experiences and phenotypes, but also in terms of coming to a consensus regarding what phenotype to collect and to select for.

In the last decades, a new awareness on human nutrition has increased and the concept of ‘food’ has changed from ‘source of nutrients for body’s needs’ to ‘health promoter’. Fruits and vegetables have always been considered beneficial for human health. More recent studies have demonstrated that bioactive components are also present in animal-derived foods, such as milk and dairy products. A broader concept of ‘nutritional safety’ implies the knowledge of how the nutrients contained in animal-derived foods positively affect human health, and how to increase their content. The improvement of dairy products fatty acid (FA) composition can involve strategies in animal nutrition. This review aims to discuss the role of FAs supplementation in ameliorating milk fat composition, environmental impact and animal health. In particular, we have focused on the role of n-3 and CLA FAs and how animal nutrition strategies can positively affect both human and animal health. Several studies have demonstrated that through adequate nutritional strategies is possible to manipulate and improve FA composition of milk and derived products (cheese). Moreover, feeding animals with n-3 FAs has proved to reduce emission of methane (CH4), but further nutritional strategies are needed in order to address this crucial environmental issue. In relation to animal health, n-3 FAs have been proved to modulate immune and inflammatory response in dairy ruminants. Recent studies have addressed the potential programming effects of increased maternal n-3 polyunsaturated FAs intake on offspring’s immune functions showing that feeding bioactive FAs to pregnant animals can affect progeny health status.

The future livestock systems at the world level will have to produce more in the perspective of the population increase in the next 30 years, whereas reducing their environmental footprint and addressing societal concerns. In that perspective, we may wonder if animal health and animal welfare, which are two essential components of production systems, may play an important role in the stability of the three pillars of sustainability of the livestock systems. We already know that objectives driven by economy, environment and society may modify animal welfare and animal health, but is the reverse true? The answer is yes and in 11 cases out of 12 of the matrix health-welfare×3 pillars of sustainability×positive or negative change, we have many examples indicating that animal health and animal welfare are able to modify, positively or negatively, the three pillars of sustainability. Moreover, we also have good examples of strong interactions between health and welfare. These elements play in favour of an holistic approach at the farm level and of a multicriterial definition of what could be the sustainable systems of animal production in the future which will respect animal welfare and maintain a good animal health.

This paper describes the basic principles of animal behavior and how these concepts can be applied to the management and care of farm animal species in a sustainable way. Several examples about how the behavior of animals can be used to increase production and welfare understanding animal needs while solving farm problems, are mentioned. Topics covered include: fostering of orphans, explaining how to substitute dead lambs, or how to add extra lambs to ewes with single births; the breakdown of the cow–calf relationship, covering different forms of weaning, focusing on stress reduction as reproductive efficiency and productivity increases; handling system designs, explaining the basic principles of animal handling and how to leverage this knowledge in the design of facilities for the purpose of moving cattle efficiently, reducing at the same time the risk of injury in humans and animals; the behavior of sick animals, where the physiological processes in order to regain homeostasis through changes in animal behavior are explained, in addition to how those changes in behavior can be used to predict some diseases even before clinical signs appeared, or how these changes might be applied to assess the extent of the pain suffered by a particular individual; and finally, a miscellaneous section covering various behavioral aspects of management of productive animals.

Exposure of livestock to high heat loads negatively affects animal’s productivity. Genetic selection for heat tolerance using quantitative approaches has been developed by making use of the milk recording information merged with the meteorological information in the test date. The main conclusions of the studies following this approach have been that there is genetic variability in the response to heat stress (HS), that a genotype by environment interaction between thermal comfort and HS conditions exists and that there is a genetic antagonism between HS tolerance and high milk production. This approach has the advantage of adding no extra costs to the existing milk recording schemes, but it has some disadvantages. Current milk recording information does not seem to fully capture the productive response to high heat loads. Moreover, the antagonism between heat tolerance and high milk production may offset the benefits of selection for this trait if heat-tolerant animals are less productive. The use of new tools from phenomics, genomics and transcriptomics can help in achieving an accurate selection of heat-tolerant animals without damaging progress in milk production. New phenotypes for this selection are measure of body temperature and respiration rates together with measures of indicators of heat tolerance in milk, through the use of mid IR spectroscopy. The use of commercial DNA chips to perform genome wide association studies or comparison of whole genome DNA sequence of animals of heat adapted and temperate climate breeds could also provide useful genomic information. Finally, RNA sequencing together with the recent discovery of the possibility to use the milk transcriptome instead of tissue biopsies could help to discover differentially expressed genes under HS and thermoneutrality. The existence of powerful tools to achieve better phenotypes to identify tolerant v. susceptible animals and to gain insights about the genetic mechanisms underlying HS response to be able to disentangle the genetic puzzle of heat tolerance may make possible the selection of heat-tolerant and still productive animals.