Dairy Goat Production Systems Research Articles

Optimizing Feed Formulation Strategies for Attaining Optimal Nutritional Balance in High-Performing Dairy Goats in Intensive Farming Production Systems

Abstract Genetic factors play a pivotal role in shaping feed formulation strategies for dairy goats, influencing milk production, composition, and overall productivity through the modulation of genetic parameters and polymorphisms associated with milk protein fractions and yield. Moreover, environmental challenges, including heat stress and feed availability fluctuations, pose significant hurdles in achieving optimal nutrition and performance, necessitating precision livestock farming and the utilization of local by-products to mitigate their impact on herd health and productivity. In addition, nutritional interventions, such as supplement utilization and alternative feed incorporation, offer promising avenues for addressing specific deficiencies and enhancing overall performance, from fatty acid supplementation to herbal feed additives, while balancing rations to meet evolving nutritional needs and ensuring long-term sustainability remains paramount for optimizing herd nutrition, health, and performance in intensive dairy goat production systems. The aim of this study was to explore the multifaceted influences of genetic factors, environmental challenges, and nutritional interventions on feed formulation strategies and overall herd nutrition, health, and performance in intensive dairy goat production systems.

Energetic and Monetary Analysis of Efficiency in Family-Owned Dairy Goat Production Systems in Andalusia (Southern Spain).

The family-owned dairy goat sector in Andalusia presents great diversity. Taking into account the particularities of their economic strategies, which are focused on generating net value added and a stable long-term remuneration for family labor, this work aims to expand the scarce existing knowledge on the energetic and economic profiles of the different caprine management systems in a context of climate and energy crisis. For this purpose, twenty-one farms, representatives of the four typologies of the Andalusian dairy goat system, were monitored for one year: pastoral systems, grazing systems with high feed supply, indoor systems with associated crops, and indoor systems without associated crops. Technical-economic information was obtained that allowed the calculation of energy and economic indicators. In terms of socialized output, the differences found were due to the energy derived from milk sales, which was clearly lower in pastoral systems. The higher proportion of energy output obtained from manure with respect to edible products (milk and meat) highlights the importance of the former in energetic terms. High values for external inputs are found in the intensive group (111.22 GJ LSU-1), while the lowest results correspond to the pastoral group (36.96 GJ LSU-1). The main external input is the energy proceeding from purchased feed, which accounts for over 79% of the total external energy input in all four groups. The highest energy efficiency corresponds to the pastoral group, which is also the most efficient one in the use of non-renewable energy to produce milk and meat. Additionally, the level of eco-efficiency is higher in pastoral systems. Common Agricultural Policy funds contribute to increasing the remuneration of family work in pastoral systems, assimilating it to the rest of the systems. Therefore, intensification does not imply an absolute monetary advantage in all cases, while extensification can be remunerative for family-owned dairy farming.

A Comparative Analysis of Carbon Footprint in the Andalusian Autochthonous Dairy Goat Production Systems.

The small ruminant livestock sector faces the challenge of reducing greenhouse gas (GHG) emissions. Carbon footprint (CF) studies on dairy goats, the most widely used indicator to quantify the impact of livestock farming on global warming, are still few. The aim of this study was to calculate the CF of the different production systems of autochthonous dairy goat breeds presently occurring in Andalusia (S Spain) and identify systems and practices that can minimize their environmental impact in these terms. Twenty-one farms were monitored during a year, obtaining valuable information that allowed the CF calculation on a "cradle-to-gate" approach, taking into account both GHG emissions at the farm level and carbon sink by vegetation associated with land-based systems. Results showed similar CF values for the analyzed systems (1.42, 1.04, 1.15, and 1.17 kg CO2-eq kg-1 fat-protein corrected milk for indoor systems without associated crops, indoor systems with associated crops, grazing systems with high feed supply, and pastoral systems, respectively). To minimize their environmental impact, specific actions must be developed for each system, particularly regarding genetic improvement, reproductive and feeding management, including pasture management, and the integration of livestock activity into the bio-circular economy with the help of professional advice.

Reducing anthelmintic inputs in organic farming: Are small ruminant farmers integrating alternative strategies to control gastrointestinal nematodes?

To counter the global spread of anthelmintic resistance (AR), considerable efforts have been invested in the development and dissemination of sustainable alternatives to control gastrointestinal nematode (GIN) infections in small ruminants. The degree to which these have been accepted and integrated by farmers, particularly in organic systems, where the drive to reduce chemical inputs is arguably even more pressing, has been little studied. To identify whether more comprehensive actions are needed to support the uptake of alternative GIN controls amongst organic farmers, this study conducted a survey in five European countries on organic dairy goat and meat sheep farmers to gain insight into current GIN control strategies and farmer attitudes towards AR and alternative measures in these countries. The structured survey was disseminated in the five European countries Switzerland, France, Netherlands, Lithuania and United Kingdom, receiving a total of 425 responses, 106 from organic dairy goat farmers and 319 from organic meat sheep farmers. Regression analyses were carried out to identify factors impacting anthelmintic drenching on meat sheep production systems, whereas all data were analysed descriptively. Four key findings emerged: i) The frequency of anthelmintic treatments averaged less than two per animal a year in all production systems; ii) Overall, organic farmers seemed well informed on the availability of alternative GIN control methods, but fewer stated to put them into practice; iii) Targeted selective treatment (TST) strategies of anthelmintics appears to be not commonly incorporated by organic farmers; iv) Despite operating under national and EU organic regulations, each of the organic dairy goat (Switzerland, France and Netherlands) and meat sheep (Switzerland, Lithuania and United Kingdom) production systems developed distinct approaches for GIN control. To increase uptake of alternatives to GIN control and optimise anthelmintic use, initiatives that promote research dissemination, farmer participatory and knowledge transfer activities at national level would be desirable.

Typology of dairy goat production systems in a semiarid region of Brazil

Socio-productive initiatives that culminated with the advent of the Food Acquisition Program in the Milk modality (PAA Milk) in 2003 boosted the development of Local Productive Arrangements for the dairy goat farming, especially in the area located between the states of Paraíba and Pernambuco, belonging to the Northeast region of Brazil. Considerable changes were performed in goat production systems with the introduction of specialized breeds, new facilities, and increased consumption of external inputs, especially concentrate feed, among other changes. This study characterized the socioeconomic, productive, and structural diversity of dairy goat production systems on 334 farms in the state of Paraíba and 220 farms in the state of Pernambuco aiming to understand the current situation of the production systems and to bring reflections on possible actions for improvement. Multiple correspondence and hierarchical cluster analyses were performed in sequence to establish the typology. Qualitative and quantitative variables were analyzed in the multiple correspondence analysis, and then the first three dimensions (coordinates) were retained for the cluster analysis, which generated three groups of farms: Group I with 216 farms (39% of the sample), Group II with 127 farms (22.9% of the sample), and Group III with 211 farms (38.1% of the sample). Group I had a lower percentage of landowners (34%), a lower presence of retired producers, lower frequencies of cactus pear areas and annual planting for forage conservation, low livestock diversity, few water facilities, and high access to PAA Milk ( 92%). In Group II, 80% of producers own their farms, have the smallest goat herd (18 heads), high presence of cactus pear areas and annual planting, and, consequently, a high practice of forage conservation and diversity of water facilities. Group III presented the oldest producers, larger areas of properties (41 ha), high presence of native pasture area, and higher daily milk production per farm (21 L). The results showed diversity among the identified groups, but with important similar aspects, such as the introduction of specialized breeds for milk production, the fragility of the feed security of herds, high stocking rates of ruminants, and a strong dependence on external feeds compared to those produced in the systems, particularly concentrate feeds, in addition to the high dependence on PAA Milk for production distribution and production stagnation due to few commercialization alternatives. It is necessary to implement solutions for the main identified distortions, such as improvement in the use of native and cultivated forages, adequacy of the stocking rate, reassessment of the composition strategy of the goat herd with specialized animals, and, mainly, the search for new dairy products and marketing channels to reduce the dependence on PAA Milk.

Characterization of dairy goat production systems using autochthonous breeds in Andalusia (Southern Spain): Classification and efficiency comparative analysis

The main characteristic of caprine production in southern Spain is its heterogeneity, which has prevented a proper classification of the different systems. This leads to lack of knowledge and difficulties in the decision-making processes and in the adoption of sectorial strategies. In this context, this article aimed to characterize and classify the different dairy goat systems using autochthonous breeds in Andalusia, according to their feed management practices and productivity. Based on this classification, this work intended to define the technical and economic characteristics of those dairy goat systems by analyzing their differences, performing a comparative analysis of their technical efficiency and assessing the current framework within which the activity takes place. For this purpose, twenty-one farms were monitored during 2018. The technical-economic information obtained allowed the performance of a Cluster Analysis to segregate different groups with common characteristics. Subsequently, an input-oriented Data Envelopment Analysis was also performed, followed by a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis. The work carried out made it possible to identify four well-defined dairy goat systems: Pastoral systems; Grazing systems with high feed supply; Indoor systems with associated crops; and Indoor systems without associated crops. They displayed significant differences from a technical-economic point of view, but not in terms of technical efficiency, which was not determined by the production system as such, but by the appropriate management practices implemented in each case. The SWOT analysis revealed the existence of many common elements together with important differences, which justified the use of a specific approach to the reality of each system.

A Decision Support System for Economically Sustainable Sheep and Goat Farming.

The European sheep and goat sector is characterized by low professionalization and management training. Moreover, it is fragmented in terms of production aims and farming systems. Here, iSAGEDSS, a web-based application allowing dairy and meat small ruminant farmers in different countries to make annual management plans by testing future scenarios, is presented. Data were obtained for the meat sheep (United Kingdom and Spain), dairy sheep (France and Greece) and dairy goat production systems (Greece) from partners of the Innovation for Sustainable Sheep and Goat Production in Europe (iSAGE) project. These were used to set default values and ranges for all important farm parameters in each system and country. An algorithm was developed assessing nutritional management and its impact on production and financial performance. Reports focus on profitability, productivity and environmental sustainability. A case study in three dairy sheep farms in Greece was performed. In each case, an evaluation scenario was created using actual farm data that were compared with the estimated ones. Two scenarios testing management decisions for gross margin maximization and milk pricing fluctuations were created. Application results showed high prediction accuracy for gross margin and production estimation (error of circa 9% and 4%, respectively). Moreover, the ability to promote financial, production and grazing management efficiency was demonstrated.

Optimizing management of dairy goat farms through individual animal data interpretation: A case study of smart farming in Spain

Dairy goat production systems in developed countries are experiencing an intensification process in terms of higher farm size, electronic identification, reproductive intensification, genetic selection and milking automation. This new situation generates “big data” susceptible to be used to aid farmers during the decision making process. This case study describes how the farm management can be improved by the use of the “Eskardillo”, a tool with a smart-phone terminal which relies on three principles: i) systematic individual data recording (milking control, productivity, genetic merit, morphology, phylogeny, etc.), ii) big data processing and interpretation and iii) interactive feedback to the farmer to optimize farm management. This study evaluated the effectiveness of the Eskardillo tool by monitoring the productive parameters from 2013 to 2016 in 12 conventional Murciano-Granadina dairy goat farms which implemented the Eskardillo (ESK) in late 2014. Moreover, 12 conventional farms without Eskardillo were also monitored as control farms (CTL). Results demonstrated that ESK farms were able to better monitor the productivity and physiological stage of each animal and Eskardillo allowed selecting animals for breeding, replacement or culling according to each animal's records. As a result, goats from ESK farms decreased their unproductive periods such as the first partum age (−30 days), and the dry period length (−20 days) without negatively affecting milk yield per lactation. This study revealed an acceleration in the milk yield in ESK farms since this innovation was implemented (+26 kg / lactation per year) in comparison to the situation before (+7.3) or in CTL farms (+6.1). Data suggested that this acceleration in milk yield in ESK farms could rely on i) a greater genetic progress as a result of a more knowledgeable selection of high merit goats, ii) the implementation of a more effective culling off strategy based on the production, reproductive and health records from each animal, and iii) the optimization of the conception timing for each animal according to its physiological stage and milk yield prospects to customize lactation length while keeping a short and constant dry period length (2 months). Moreover, this study demonstrated a decrease in the seasonality throughout the year in terms of percentage of animals in milking and milk yield allowing an increment in the production of off-season milk (+17%) since Eskardillo was applied. In conclusion, it was demonstrated that the implementation of the Eskardillo tool can be considered a useful strategy to optimize farm management and to contribute to the sustainable intensification of modern dairy goat farms.

Carbon footprint of dairy goat production systems: A comparison of three contrasting grazing levels in the Sierra de Grazalema Natural Park (Southern Spain)

The main objective of this study was to analyze the carbon footprint (CF) of grazing dairy goat systems in a natural park according to their grazing level. A total of 16 representative grazing goat farms in southern Spain were selected and grouped into three farming systems: low productivity grazing farms (LPG), more intensified grazing farms (MIG) and high productivity grazing farms (HPG). Their CF was analyzed, including greenhouse gas emissions and soil C sequestration according to the farms' grazing level and milk productivity, taking into account different functional units (one kilogram of fat and protein corrected milk (FPCM) and one hectare) and milk correction. Results showed that all variables differed according to the milk correction applied as the values for cow's milk correction were 41% lower than for sheep's milk correction. Total emissions and contributions of soil carbon sequestration differed according to farming system group; LPG farms had higher total emissions than MIG and HPG farms, however total carbon sequestration was lower in the MIG farms than in the LPG and HPG farms. The CF values ranged from 2.36 to 1.76 kg CO2e kg−1 FPCM for sheep's milk correction and from 1.40 to 1.04 kg CO2e kg−1 FPCM for cow's milk correction. No differences were found between farming system groups in either of the two cases but when calculations took hectare of land as a functional unit, the contribution of MIG farms to the CF was 85% higher than LPG and HPG farms. Therefore it is important to take into account the functional unit used to calculate the CF by analyzing this indicator in a broader context, and including carbon sequestration by grazing livestock in the calculation. In order to reduce the CF of this type of system, it is advisable to make appropriate use of the natural resources and to reach an optimum level of milk productivity, high enough for pastoral livestock farming to be viable.

Developing a predictive model for the energy content of goat milk as the basis for a functional unit formulation to be used in the life cycle assessment of dairy goat production systems

Recent reports on livestock environmental impact based on life cycle assessment (LCA) did not fully consider the case of the dairy goat. Assignment of an environmental impact (e.g. global warming potential) to a specific product needs to be related to the appropriate ‘unitary amount’ or functional unit (FU). For milk, the energy content may provide a common basis for a definition of the FU. To date, no ad hoc formulations for the FU of goat milk have been proposed. For these reasons, this study aimed to develop and test one or more predictive models (DPMs) for the gross energy (GE) content of goat milk, based on published compositional data, such as fat (F), protein, total solids (TS), solid non-fat matter (SNF), lactose (Lac) and ash. The DPMs were developed, selected and tested using a linear regression approach, as a meta-analysis (i.e. meta-regression) was not applicable. However, in the final stage, a control procedure for spurious findings was carried out using a Monte Carlo permutation test. Because several published predictive models (PPMs) for GE in cow milk and goat milk were found in the literature, they were tested on the same data set with which the DPMs were developed. The best-performing DPMs and PPMs were compared directly with a subset of the individual data retrieved from the literature. Overall, the paucity of direct measurements of the GE in goat milk was a limiting factor in collecting data from the literature; thus, only a small data set (n=26) was established, even though it was considered sufficiently representative of milks from different goat breeds. The three best PPMs based on F alone gave more biased estimates of the GE content of the goat milk than the three new DPMs based on F, F and SNF and F and TS, respectively. Accordingly, three different formulations of FU are proposed, depending on the availability of data including both F and TS (or F and SNF) or F alone. Even though several metrics can be used in defining the FU for milk to be used in LCAs of goat farming systems, the proposed FU formulations should be adopted in place of the similar energy-based ones developed for other dairy species.

Typology and characteristics of dairy goat production systems in Greece

Our objective was to classify dairy goat farms into representative typologies. We used a random sample of 103 goat farms from 8 regions in mainland Greece and the islands. Farmers were surveyed using a designated questionnaire for in depth interviews on their farms. A general description of production methods and farm characteristics was recorded. The farms were classified using a multivariable statistical approach including principal component analysis and cluster analysis. The differences between clusters were assessed using one-way ANOVA and χ2 test and the profitability of farms was estimated. The intensity of production system was mostly classified based on goat herd size and age of kids at weaning. Reproductive management was classified mostly based on age at first mating and does to bucks ratio. Herd turnover rate and genetic improvement strategy was mostly classified by bucks’ replacement rate and doelings to does ratio. Cultivated land per livestock unit, irrigated land used, years of farmer's experience, and facilities and equipment score were significant farming descriptors. We identified four clusters that shared common characteristics and major differences. Cluster 1 (26 farms, 25.2%) included large, semi-intensive, high producing and investing farms. Cluster 2 (50 farms, 48.5%) included semi-extensive, low-input, traditional farms. Cluster 3 (12 farms, 11.7%) included medium-sized, semi-intensive, low replacement rate farms. Cluster 4 (15 farms, 14.6%) included semi-extensive, low-input, traditional farms, producing heavy weight kids carcasses. Regarding profitability, Cluster 1 was significantly more profitable than clusters 2 and 4, whereas the more profitable clusters also had more variation in profit suggesting they are riskier. Cluster 4 could benefit from further developing meat production, processing and packaging to become an independent cluster. This new cluster would be focused on both milk and meat whilst the other three clusters focus on milk.

Closantel plasma and milk disposition in dairy goats: assessment of drug residues in cheese and ricotta.

Closantel (CLS) is currently used in programs for the strategic control of gastrointestinal nematodes. CLS is extralabel used in different dairy goat production systems. From available data in dairy cows, it can be concluded that residues of CLS persist in milk. The current work evaluated the concentration profiles of CLS in plasma and milk from lactating orally treated dairy goats to assess the residues pattern in dairy products such as cheese and ricotta. Six (6) female Saanen dairy goats were treated orally with CLS administered at 10mg/kg. Blood and milk samples were collected between 0 and 36days post-treatment. The whole milk production was collected at 1, 4, 7, and 10days post-treatment to produce soft cheese and ricotta. CLS concentrations in plasma, milk, cheese, whey, and ricotta were determined by HPLC. The concentrations of CLS measured in plasma were higher than those measured in milk at all sampling times. However, the calculated withdrawal time for CLS in milk was between 39 and 43days postadministration to dairy goats. CLS residual concentrations in cheese (between 0.93 and 1.8μg/g) were higher than those measured in the milk used for its production. CLS concentrations in ricotta were sixfold higher than those in the milk and 20-fold higher than those in the whey used for its production. The persistent and high residual concentrations of CLS in the milk and in the cheese and ricotta should be seriously considered before issuing any recommendation on the extralabel use of CLS in dairy goat farms.

Expanding the contribution of dairy goats in efficient and sustainable production systems

Goats contribute significantly to human nutrition, food security and income of resource-poor small farmers in Asia, Africa and beyond. Because of the high content of mono- and polyunsaturated fatty acids in goat milk, it is beneficial for human health resulting in it being sold at premium prices of three to nine times the price of cow milk in countries like China, Malaysia, Indonesia and Thailand. Goats play a significant role in farming systems that directly impact on the capacity of rural farmers striving for the objective of sustainable food production systems. Increasing sustainable food production, particularly of animal proteins, presents major challenges to these small farms in the face of massive demands that are driven by rapid growth of human populations and increased availability of disposable income. In the last two decades, expanding market demand for goat milk has resulted in the establishment of commercial dairy goat farms in several newly developed South-east Asian countries. Major challenges to expanding production exist, and include ways to utilise the well-adapted features inherent in goats and their potential production to benefit the small and commercial farmers alike. Increasing the knowledge base is a priority to stimulate improved production systems and, increased the income of dairy goat farmers and other people involved in the industry. The recent establishment of the Asian-Australasian Dairy Goat Network supported jointly by FAO and Universiti Putra Malaysia, and national programs of participating countries, are committed to address these objectives and facilitate much-needed improvements to sustain dairy goat production systems in Asia and beyond.

Dairy goat production systems

Goat production concentrated in developing countries (tropics, dry areas), contributes largely to the livelihoods of low and medium income farmers. Farming systems in these areas have evolved to cope with the formidable constraints imposed by harsh natural and economic conditions by adapting integrated crop/livestock production strategies. In Asia, Africa and Latin America, due to its almost exclusive extensive nature, goat production relies mainly on grazing on communal lands that hardly provide the minimum nutrient requirements due to overstocking and degradation. While some of these production systems are becoming semi-intensive, appropriate breeding strategies should be designed to promote conservation and improvement of their unique attributes, such as adaptability, water use efficiency and suitability under harsh climatic conditions. In Europe, dairy goat production is more common around the Mediterranean basin, where it is important from an economic, environmental and sociological perspective to the Mediterranean countries: Spain, France, Italy and Greece. Europe owns only 5.1 % of the world's dairy goat herds, but produces 15.6 % of the world's goat milk; this is the only continent where goat milk has such an economic importance and organization. In developing countries the dairy goat sector requires a systemic approach, whereby nutrition, animal health, breeding, know-how, inputs and technologies must be assembled. This would allow the optimization of natural and local resources and would promote the transition from a risk reduction strategy towards an increased productivity strategy. Such an increase would privilege production efficiency based on clean, green and ethical practices for responsible innovation.

Economic values for disease resistance traits in dairy goat production systems in Kenya

This study estimated economic values (EVs) for disease resistance traits for dairy/crossbred goats in Kenya. The traits mean somatic cell count (SCC, cells/μl) and faecal worm egg count (FEC, epg) were taken as indicator traits for the most prevalent diseases in the smallholder farms i.e., mastitis and helminthiosis, respectively. Economic weights were objectively assigned to these indicator traits in a selection index such that the overall gains in the breeding objective traits were maximised. Four options for calculating EVs for SCC and FEC were considered. Option 1, response from single trait selection was set equivalent to index response for the trait. Option 2, response from single trait selection was set equivalent to maximum gains achievable. Option 3, level of FEC/SCC was set to zero; and option 4, response in FEC/SCC was set to the minimum gains achievable. In all the options, EVs with/without risk for breeding objective traits 12-month live weight (LW-kg); ADG, average post-weaning daily gain (ADG-g); DMY, average daily milk yield (DMY-kg) were used. For each production trait selected for improvement, a less positive response in the traits FEC and SCC would be desirable. Maximum negative EVs were achieved at a point where the response in SCC was set at zero (option 3) while EVs for SCC were zero when response for DMY was maximised (option 2). In addition, considerable differences in EVs for SCC were obtained when EVs with/without risk were used. Similar results were also observed for FEC when LW was the objective of improvement. However, more positive EVs for FEC were estimated relative to ADG and DMY. The results confirm that there is a scope to incorporate disease resistance traits in a breeding program with objective of reducing disease incidences and the costs of disease control.

Breeding plan for commercial dairy goat production systems in southern Brazil

Commercial small dairy goat producers, exploiting European breeds and selling fluid milk, concentrate in the southeastern and southern States of Brazil. They are in need to access improved germplasm due to government regulations banning imports of living material. This paper reports the actions taken, the difficulties encountered and the preliminary results of a Dairy Goat Breeding Plan started in 2005 by EMBRAPA Goats and Sheep, the Brazilian Ministry of Agriculture, Livestock and Food and the Association of Goats and Sheep Breeders of Minas Gerais States. The plan's objective was to address the needed access to improved germplasm claimed by farmers, through conducting progeny tests. Participatory and community work took place to organize/implement the plan. A professional milk recording institution was recruited by farmers to collect individual milk records in the associated farms where bucks are progeny-tested. Selection criteria mainly designed to respond to the market demand, focused on milk yields, lactation lengths and reproductive characteristics. Twenty bucks of Saanen, French Alpine and Anglo-Nubian breeds are being tested through artificial insemination in 22 herds. Until August 2010, the databank contained 7872 milk test days. The averages for total milk yield in a complete lactation, milk yield in 305 days of lactation, lactation length and average daily yield were 768±16kg, 676±10kg, 278±4 days and 2.75±0.01kg/day, respectively. Herd effects were found important (P<0.01) with a wide range of averages in milk production which justifies well the progeny test to suit germplasm for also a wide range of environments. Breed effects were also important in differentiating total milk yields in a complete lactation (P<0.01) with Saanen goats having significantly greater yields than Alpine and crossbred goats. Linear and quadratic age effects were significant in changing milk yields. The establishment and implementation of the plan confronted difficulties that were not insurmountable and offered important lessons learned and recommendations for similar engagements for smallholder dairy goat production systems elsewhere. These included: (1) careful identification and involvement of stakeholders considering the enabling conditions needed and sustainability, (2) engagement, whenever possible, of organized and trusted systems for data collection with a long-term projection. Avoid organizations/persons distrusted by farmers, (3) consider the sustainability of the plan from inception and policy development to this end, (4) while designing the selection objectives and criteria, consider not only traits that respond to market trends, but also traits that farmers judge as important.

Changes occurring in dairy goat production systems in less favoured areas of Spain

In recent decades there has been a worldwide increase in the intensification process of the livestock sector. This study looks into the changes that have taken place in goat farms in less favoured areas of Spain by comparing the situation of systems in the Northern Sierra of Seville (SNS), a traditional goat farming area in Spain, in the years 2002 and 2008. The information for this study was collected in 2002 and 2008, from a sample of 22 and 23 dairy goat farmers, respectively. A farm survey was conducted, composed of 95 items, grouped into the following sections: animal base, infrastructures and facilities, feeding, reproduction, milk production and animal health. For either of the two years of study a multivariate analysis has been conducted through a multiple correspondence analysis followed by a cluster analysis. Four groups have been identified for each year, showing a diverse range of farms whereby the most intensive farms coexist with those that continue to practise grazing. The following main changes have been observed throughout the study: (i) the herd size is increasing; (ii) the supply of concentrates and straw has increased significantly but use of forage has decreased; (iii) the lactation length has increased; (iv) milking facilities and feed distribution systems have been modernized; and (v) the animal health has substantially improved. Other important changes, although less significant, are the establishment of reproductive groups on the farms, genetic improvement of herds by absorbing the dairy breed Florida and improving goat productivity. Most changes have focused on intensifying the productive systems. Some drivers behind these changes are the loss of grazing as a feed source for goats, acceptable prices for the purchase of feeds during the period studied, the increase in milk demand from industry, EU aids and willingness of the farmers to improve their working conditions. Evolutions of purchase feed and sold milk prices together with EU agricultural policy evolution will determine the future of dairy goat production.

Evaluation and effectiveness of breeding and production services for dairy goat farmers in Kenya

This study evaluates the provision of services; veterinary services (VS), extension services (ES), marketing services (MS), performance recording (PR), monitoring and evaluation of dairy goat breeding activities (ME) and provision of water (WT) and determines the effectiveness of applying these services in dairy goat production systems in Kenya. A household survey was conducted with 311 farmers participating in three dairy goat projects (Dairy Goat Association of Kenya (DGAK), Higher Education Links-Egerton University Community Dairy Goats Project (HEL-EUCDGP) and Heifer Project International (HPI)) to assess farmers' willingness to pay for provision of these services. Ranking these services revealed that MS was the most important service in priority order for goat keepers. Farmers with and without experience were willing to pay significantly more for provision of VS. Variables such as satisfaction with project activities, system of production, social benefits, flock size, participation in the projects, farm visits, market linkage and information, and experiences on the services significantly influenced willingness to pay (WTP). The decision to pay or not was not necessarily affected by those not willing to pay because of the inter-linkage probabilities with the ability to pay. Projects should take a broader responsibility of providing these services or link farmers to agents to provide the services. The poor farmers should be supported in a cost-sharing manner to avoid undesirable practises or the services left to those who can afford to pay.

Appraisal of the sustainability of dairy goat systems in Southern Spain according to their degree of intensification

This investigation aims to classify, describe and evaluate the sustainability of dairy goat production systems (GPS) in South Spain Sierra de Cadiz. The research took place throughout 25 goat farms during the 2001–2002 campaigns, with the method posed by Masera et al. (1999) [Masera, O., Astier, M., S., López-Ridaura. 1999. Sustentabilidad y manejo de recursos naturales. El marco de evaluación MESMIS (Sustainability and natural resource management. The MESMIS evaluation framework). Mundi-Prensa, S.A., Gira, IE-UNAM, México. 109 pp.] and adapted to animal production systems, as the guideline and framework to evaluate sustainability. The principal component, namely energy input from grazing (eigenvalue 1.329) which comprises the indicators total area per goat (factorial value 0.664) together with net energy obtained from grazing (factorial value 0.903) allowed to differentiate significantly between semi extensive (SES), semi intensive (SIS) and intensive (IS) goat production systems. Intensification of the GPS tends to be inefficient, especially in terms of net margin per litre of milk produced ( p < 0.05). A higher degree of adaptability of IS (64.8%) derives from a higher investment on new production strategies. Likewise, higher self-management capacity of SES (60.9%) fosters standards of productivity (76.0%) and stability (42.9%). The SIS presented the highest equity values (67.8%). On the whole, sustainability of GPS tends to decrease as the degree of intensification increases: SES = 57.3%; SIS = 55.7% and IS = 53.1%. The reduction of the dependency on external input alongside with the optimization of natural resources management would surely improve the standard of sustainability.

Microbiological quality of goat's milk obtained under different production systems

In order to determine the safety of milk produced by smallholder dairy goat farms, a farm-based research study was conducted on commercial dairy goat farms to compare the microbiological quality of milk produced using 3 different types of dairy goat production systems (intensive, semi-intensive and extensive). A survey of dairy goat farms in and around Pretoria carried out by means of a questionnaire revealed that most of the smallholder dairy goat farms surveyed used an extensive type of production system. The method of milking varied with the type of production system, i.e. machine milking; bucket system machine milking and hand-milking, respectively. Udder half milk samples (n=270) were analysed, of which 31.1% were infected with bacteria. The lowest intra-mammary infection was found amongst goats in the herd under the extensive system (13.3%), compared with 43.3% and 36.7% infection rates under the intensive and semi-intensive production systems, respectively. Staphylococcus intermedius (coagulase positive), Staphylococcus epidermidis and Staphylococcus simulans (both coagulase negative), were the most common cause of intramammary infection with a prevalence of 85.7% of the infected udder halves. The remaining 14.3% of the infection was due to Staphylococcus aureus. Bacteriology of bulk milk samples on the other hand, showed that raw milk obtained by the bucket system milking machine had the lowest total bacterial count (16,450 colony forming units (CFU)/ml) compared to that by pipeline milking machine (36,300 CFU/ml) or hand-milking (48,000 CFU/ml). No significant relationship was found between the somatic cell counts (SCC) and presence of bacterial infection in goat milk In comparison with the herds under the other 2 production systems, it was shown that dairy goat farming under the extensive production system, where hand-milking was used, can be adequate for the production of safe raw goat milk.