O uso de ferramentas de gestão favorece a eficiência de um negócio, uma vez que por meio da coleta de dados produtivos e financeiros um empresário consegue tomar as melhores decisões. Os bovinocultores de leite podem obter melhores resultados nos seus negócios ao coletar e analisar dados. Porém o uso de ferramentas de gestão por esta categoria de produtores se mostra incipiente por uma série de razões. Pesquisas sobre gestão em propriedades produtoras de leite no Brasil consideram, principalmente, aspectos produtivos e financeiros, não estudando outras ferramentas de gestão, como o planejamento. A microrregião de Franca, Estado de São Paulo, apresentou queda de 12% em número de propriedades produtoras de leite entre 2007 e 2015, porém houve aumento de 37% na produção. Este trabalho teve como objetivo identificar se a gestão ou a falta dela influencia os produtores de leite na tomada de decisão de continuar ou sair da atividade. Foi realizado levantamento bibliográfico sobre a gestão em propriedades produtoras de leite e encontrou-se que o empreendedorismo, o controle dos aspectos produtivos, a resiliência, os arranjos produtivos horizontais foram importantes na análise dos melhores resultados. Outro achado nos trabalhos estudados foi que os produtores de leite consideram fatores não econômicos ao tomarem decisões. Foram realizadas 25 entrevistas qualitativas com produtores de leite, nas quais se avaliou se a gestão era prática dos respondentes, quais ferramentas eram utilizadas por eles e se a gestão era decisiva para que eles continuassem na atividade. O estudo também objetivou saber quais eram os fatores não econômicos levados em consideração por eles ao decidirem expandir a atividade, manter como está ou sair da mesma. Ao avaliar as respostas, encontrou-se que o uso de ferramentas de gestão vai tornando-se mais sofisticado conforme aumenta o nível de escolaridade dos produtores. Os produtores de leite levavam em consideração fatores não econômicos (valores) no momento de tomar uma decisão, tais como: legado, tradição (herança), gosto pela vida no campo, gostar da atividade leiteira, independência etc. Eles consideravam, ademais, fatores econômicos, tais como: venda de animais, pagamento mensal e lucratividade. Ao que parece, o uso de ferramentas de gestão não teve influência direta na tomada de decisão do produtor em continuar na atividade, uma vez que produtores que não utilizavam qualquer ferramenta demonstraram interesse na continuidade, muito embora os produtores que utilizavam ferramentas de gestão eram os mais eficientes. / The use of management tools favors the efficiency of a business, once production and financial data can be used for the entrepreneur to make better choices. Dairy farmers can get better results in their business by collecting and analyzing data, but the use of management tools by dairy farmers is different when there´s a comparison between the farmers, due to a number of reasons. Researches on management in dairy farmers in Brasil mainly consider productive and financial aspects and there´s a lack of studies on management tools, such as planning. There was a decrease of 12% in number of dairy farms in micro region of Franca, São Paulo State, between 2007 and 2015, but, at the same time, there was a 37% increase in production. This work had as objective to identify if the management or the lack of it influences the dairy farmers in the decision making to continue or leave the activity. It was made a survey about management practices on dairy farmers at the literature and it was found that entrepreneurship, control of productive aspects, resilience, and horizontal productive arrangements were important in the analysis of the best results. Another finding in these studies was that dairy farmers consider non-economic factors when making decisions. 25 qualitative interviews were conducted with dairy farmers in which it was evaluated whether the management was practiced by the respondents, which tools were used by them and if management was decisive for them to continue in the activity. This study also objected to know what were the non-economic factors taken into account by them when deciding to expand the activity, to maintain as it is or to leave. When evaluating the answers, it was found that the use of management tools is becoming more sophisticated as the level of education of the farmers increases. Dairy farmers took into account non-economic factors (values) at the moment of making a decision, such as: legacy, tradition (inheritance), enjoy working in rural areas, enjoy the dairy activity, independence etc. They considered, in addition, economic factors, such as: sale of animals, monthly payment and profitability. It seems the use of management tools had no direct influence on the decision of the dairy farmer to continue in the activity, since farmers who did not use any management tools showed interest in the continuity. Although those farmers that used management tools were the most eficiente.

Toxoplasma gondii est le parasite responsable de la toxoplasmose, une zoonose infectant l'Homme et les autres espèces endothermes. Les fermes d'élevage sont connues pour présenter de forts risques de transmission pour les hôtes et constituent des réservoirs de la contamination environnementale en milieu rural. Cette étude visait à identifier les facteurs modulant la circulation du parasite dans les fermes dans deux compartiments du cycle: les hôtes définitifs et le sol. Pour cela, la dynamique d'infection par T. gondii dans cinq populations de chats a été suivie et modélisée par des modèles de capture-marquage-recapture « multi-événements ». Ceux-ci ont montré que les taux d'expositions des chats à T. gondii varient entre fermes et que les taux d'infection sont plus élevés en automne-hiver que durant le reste de l'année. La distribution spatiale de la contamination environnementale par T. gondii a ensuite été évaluée dans six fermes par recherche d'ADN dans des prélèvements de sols, puis mise en relation avec le patron de dépôt des fèces par les chats. Malgré une large distribution de T. gondii dans les fermes, les sites de défécation des chats constituent des zones à fort risque de transmission. Le niveau de contamination dans ces sites est dépendant de leur localisation et des caractéristiques des chats qui les utilisent, tout deux influencés par la localisation du site d'alimentation des chats dans les fermes. Cette étude montre que les fermes peuvent présenter des disparités en termes d'exposition au parasite. A l'intérieur des fermes, le patron spatio-temporel de dépôt des fèces par les chats modulent les risques d'infection pour les hommes et les animaux. / Toxoplasma gondii is the protozoan parasite responsible for toxoplasmosis, a zoonosis infecting humans and other endothermic animals. Livestock farms are considered high-risk sites for T. gondii transmission to hosts and they represent reservoirs of environmental contamination in rural areas. The aim of this study was to investigate the infection dynamics of T. gondii in cat populations by surveying five dairy farms using multi-event capture–mark–recapture models. The results showed that the rates of T. gondii infection in cats varied between farms. Infection rates were higher in autumn and winter compared to the rest of the year. The spatial distribution of soil contaminated by T. gondii on six farms was assessed using quantitative PCR on soil samples and analyzed in relation to the spatio-temporal pattern of faeces deposition by cats. Although there was wide spatial distribution of T. gondii in the soil of the farms, cat defecation sites were revealed to be high-risk areas for T. gondii transmission. The level of contamination in these sites depended on their location and characteristics of cats that use them, which were both influenced by the location of the main cats feeding site in the farms. This study demonstrated that T. gondii exposure varies from one farm to another. Infection risk is also heterogeneous within a farm and is driven by the spatio-temporal pattern of deposition of cat faeces.

A cross-sectional study was conducted from February 2011 to August 2012 to investigate the status and identify risk factors for Bovine Tuberculosis (BTB) and cattle Brucellosis. A total of 1277 cattle from 6 selected dairy farms were tested. The farms were purposively selected on suspected risk. Samples were analysed using Rose Bengal Test (RBPT) and Complement Fixation Test (CFT) for Brucellosis and Comparative Intradermal Tuberculin Test (CITT) for BTB. The results revealed the overall prevalence of 1.6% for Brucellosis and no BTB was found. Logistic regression analysis revealed that age of cattle, herd size and number of calves a cow has had significant association with Brucellosis with p-values 0.0071, 0.0490 and 0.000 respectively. The role of location (p>0.05), gender (p>0.05) and breed (p>0.05) in the occurrence of the disease was not statistically significant at α=0.05, although higher rates were obtained in females and Jersey breed. Questionnaires were also administered to 47 individuals a total of 12 females and 35 males. Most respondents were not aware about cattle brucellosis and cattle tuberculosis. Consumption of raw or unpasteurized milk still occurs with 74.75% of respondents revealed.

La dynamique d'ajustement structurel dans le secteur laitier en France est l'une des plus fortes de tous les secteurs agricoles avec des rythmes particulièrement élevés de disparition des exploitations et de croissance de la taille moyenne par exploitation. Cette dynamique est hétérogène dans l'espace, les régions les plus touchées sont celles où la densité laitière est faible à l'origine, celles qui résistent sont celles où la densité est élevée et où un tissu industriel est bien développé. Ces mouvements ont eu lieu malgré une politique agricole qui a cherché, au travers de multiples instruments (quota laitier, soutien des prix, aides directes…), à limiter ces mouvements et à maintenir la production laitière sur une grande partie du territoire français. Les modifications à venir de ces instruments risquent de modifier le paysage laitier jusqu'ici connu, et ainsi d'affecter la localisation et la structure des exploitations laitières. Dans ce contexte, l'objectif principal de cette thèse est d'analyser les déterminants de la croissance et de la localisation des exploitations laitières, d'identifier quels sont ceux qui renforcent la croissance et l'agglomération des exploitations et ceux qui ont tendance à limiter cette croissance et à disperser les exploitations et la production. Pour ce faire, nous avons dans un premier temps, estimé, en utilisant la méthode de chaînes de Markov, l'impact de certains facteurs économiques et politiques, sur les changements de taille des exploitations laitières. Dans un deuxième temps, à l'aide des méthodes d'économétrie spatiale, nous avons introduit une dimension spatiale à cette analyse afin d'appréhender les différences régionales (départementales) et de détecter d'éventuels effets d'agglomération. Dans un troisième temps, nous avons intégré de manière originale un modèle dynamique spatial récursif au modèle de Markov non-stationnaire afin de mesurer la distribution de la taille des exploitations selon la localisation en prenant en compte les interactions entre localisations. Ces différentes méthodes ont permis de montrer que les externalités positives liées à l'agglomération des exploitations laitières sont des facteurs prépondérants dans la détermination non seulement de la localisation mais aussi de la taille des exploitations laitières. Les externalités pécuniaires et les relations marchandes d'amont et d'aval ainsi que les prix des inputs et des outputs sont tout aussi importants dans la détermination de ces dynamiques. Les politiques agricoles, ici considérées au travers des aides directes du premier et second pilier, ont un impact assez faible dans l'ajustement structurel des exploitations laitières, seules les dotations à l'installation des jeunes s'avèrent très significatives et positivement liées à la localisation et la croissance des exploitations laitières. Les réglementations environnementales ont un effet plutôt dispersif des exploitations laitières et ceci particulièrement pour les grandes. Les activités concurrentes de l'activité laitière ont également un effet négatif sur la localisation des exploitations laitières mais cet effet s'estompe avec l'augmentation de la taille des exploitations. / Structural change in French dairy sector is one of the most important in agriculture with high rates of decreasing in the number of farms and increasing average farm size. This structural change is heterogeneous in space; the regions the most affected are those which are not traditional dairy producing. The regions which resist are the traditional dairy ones where dairying is highly developed. Agricultural policy instruments (dairy quota, price support, direct payments…) have affected those changes while trying to maintain the dairy production on a large part of France. The modifications to come of those instruments could modify the dairy farm location and structure. The aim of this thesis is to analyze the determinants of dairy farm growth and location, to identify which are those they foster growth and agglomeration of dairy farms and those they tend to slow down this growth and disperse dairy farms. To do so, we firstly estimate, using the non stationary Markov model, the impact of some economic and policy factors on the size farm distribution. Secondly, by means of the methods of spatial econometrics, we introduce a spatial dimension in this analysis to deal with regional differences and detect a possible effect of agglomeration externalities. Thirdly, we integrate a spatial dynamic recursive component to the non stationary Markov model. This allows us to model the effects of factors influencing the number, the size and the location of the dairy farms and to take account of interaction between locations. Those different methods allow us to show that agglomeration externalities are very important in the determination of the farm location as well as the growth of farm size. Pecuniary externalities and forward and backward linkages as well as the market prices are also determinant factors affecting farm structure and location. Agricultural policies, namely second pillar direct payments have a rather low impact in the structural adjustment of dairy farms. However subsidies to installation of young farmers are highly significant and positively related to farm growth and location. Environmental stringency seems to negatively affect dairy farm location and especially medium and large sized ones. Other livestock activities seem to compete with dairy farms especially smaller ones.

PhDRDV / Institute for Rural Development / As has been the case in Eastern and Southern Africa, Zimbabwe continues to regard smallholder dairy farming as a viable strategy for reducing poverty and malnutrition, especially in rural areas. Although the country has since the early 1980s been promoting smallholder dairy development, available literature does not provide a clear picture of the extent to which the specific livelihoods of rural communities in terms of human, social, physical and financial capitals, have improved. Nor is there knowledge on its negative contribution to the farmers’ livelihoods. Thus, this study was undertaken to critically analyse the contribution of smallholder dairy farming towards the livelihoods of rural households using the Nharira dairy scheme as a focal area. The DfiD sustainable livelihood framework was used to build this understanding. Apart from characterizing the farmers, the contribution of smallholder dairy farming towards social, physical, human, natural and financial capitals was investigated. A sequentially integrated mixed methods approach was used. This was divided into two phases, which were quantitative and qualitative in nature. Results from the first phase were used to inform and design the second study. A census of the 21 active smallholder dairy farmers in Nharira, and management committee of the Nharira dairy processing plant was conducted. A household-focused questionnaire, key informant interviews, participatory mapping, record review, Global Positioning System (GPS) locating and focus group discussions were used to collect data. A tape recorder, GPS locator and camera were used as assistive devices during data collection. Thematic content analysis was used to analyse qualitative data and interpret participatory maps. Livelihood capital indices were derived per household and used to complement descriptive statistics as part of quantitative data analysis. A social capital index was computed for each household using collective action, empowerment, groups and networks, and trust and solidarity as its components. Resource stocks and access were the building blocks of the natural capital index. Income, savings and investments, and access to funding were used to derive the household financial capital index. Contribution of dairy farming to productive equipment (such as cattle herd size) and basic infrastructure (such as quality of housing) were used to calculate the physical capital index. The index for human capital was obtained taking into account education, workforce and employment, enabling environment, and health and wellness. Equal weights were applied to the components when deriving the household livelihood indices because each one of them was considered to be substantially important for sustainable livelihoods. The quantitative data were stored and analysed using the International Business Machines (IBM) Statistical iii Package for Social Sciences (SPSS) version 24. Pearson correlation coefficients, means and standard deviations were calculated. Most of the farmers (65 %) were female. Approximately, 95 % of the women farmers were literate. Only 1 % of the farmers were youth (< 35 years old), a situation that threatened the sustainability of smallholder dairy farming. A daily smallholder dairy farming routine was derived using the focus group and participatory mapping results. This showcased the various daily activities and linked them with the household members actively involved. Smallholder dairy farming was found to be labour intensive. This might deter the farmers from diversifying into other livelihood strategies. Smallholder dairy farming was observed to have strengthened financial, human, natural, physical and social capitals in the local households. However, the respective indices of 0.59 and 0.52 for social and natural capitals, suggested that smallholder dairy farming impacted on these more than any other. Even though social capital was strong, further reinforcement through improved smallholder dairy farming activities was still vital because of its power of enhancing access to other forms of livelihood capitals. Human and physical capitals had the least index scores of 0.48 and 0.47, respectively. On average, the overall household livelihood capital index as a result of smallholder dairy farming was 0.51. One of the study respondents supported the positive contribution in the following way, ‘’Zvakanakira dairy hatingazipedzi. Tinotoda zuva rese” (There are many positive things that we attribute to our involvement in smallholder dairy farming. Narrating these demands considerable time). It was concluded that smallholder dairy farming significantly strengthened livelihood capitals of households involved in it. The results of the current study suggest that smallholder dairy farming is a viable option for improving household livelihood capitals. Thus, establishment of dairy farming schemes in rural areas should be promoted. However, the participation of youth in smallholder dairy farming as enterprise owners deserves attention because it threatens sustainability of the sector. An integrated multiple angle view encompassing technical, social, institutional, economic and organizational ideas of the impact of dairy farming as a livelihood strategy on household capital portfolio was provided. Moreover, application of the sustainable development framework to understanding the smallholder dairy farming context at household level was a novel way of understanding the local realities. Lastly, a set of variables that can be utilised to measure livelihood capitals of households involved in smallholder dairy farming-related activities was distilled.

The last decade has been a period of great expansion and land use intensification for the New Zealand dairy farming industry with a 44% increase in national dairy cow numbers. Intensive dairy farming is now considered to be a major contributor to the deterioration in the quality of surface and ground water resources in some regions of New Zealand. Previous research has demonstrated intensive dairy farming is responsible for accelerated contamination of wateways by nutrients, suspended solids, pathogenic organisms and faecal material. A number of common dairy farming practices increase the risk of nutrient leaching. In particular, farm dairy effluent (FDE) has been implicated as a major contributor to the degradation of water quality. With the introduction of the Resource Management Act in 1991, the preferred treatment for FDE shifted away from traditional two-pond systems to land application. However, on most farms, irrigation of FDE has occurred on a daily basis, often without regard for soil moisture status. Therefore, it has been commonplace for partially treated effluent to drain through and/or runoff soils and contaminate fresh water bodies. The objectives of this thesis were to design and implement a sustainable land application system for FDE on difficult to manage, mole and pipe drained soils, and to assess the impacts of FDE application, urea application and cattle grazing events on nutrient losses via artificial drainage and surface runoff from dairy cattle grazed pasture. To meet these objectives a research field site was established on Massey University's No.4 Dairy farm near Palmerston North. The soil type was Tokomaru silt loam, a Fragiaqualf with poor natural drainage. Eight experimental plots (each 40 x 40 m) were established with two treatments. Four of the plots represented standard farm practice including grazing and fertiliser regimes. Another four plots were subjected to the same farm practices but without the fertiliser application and they were also irrigated with FDE. Each plot had an isolated mole and pipe drainage system. Four surface runoff plots (each 5 m x 10 m) were established as subplots (two on the fertilised plots and two on the plots irrigated with FDE) in the final year of the study. Plots were instrumented to allow the continuous monitoring of drainage and surface runoff and the collection of water samples for nutrient analyses. An application of 25 mm of FDE to a soil with limited soil water deficit - simulating a 'daily' irrigation regime - resulted in considerable drainage of partially treated FDE. Approximately 70% of the applied FDE left the experimental plots with 10 mm of drainage and 8 mm of surface runoff. The resulting concentrations of N and P in drainage and runoff were approximately 45% and 80% of the original concentrations in the applied FDE, respectively. From this single irrigation event, a total of 12.1 kg N ha-1 and 1.9 kg P ha-1 was lost to surface water representing 45% of expected annual N loss and 100% of expected annual P loss. An improved system for applying farm dairy effluent to land called 'deferred irrigation' was successfully developed and implemented at the research site. Deferred irrigation involves the storage of effluent in a two-pond system during periods of small soil moisture deficits and the scheduling of irrigation at times of suitable soil water deficits. Deferred irrigation of FDE all but eliminated direct drainage losses with on average <1 % of the volume of effluent and nutrients applied leaving the experimental plots. Adopting an approach of applying 'little and often' resulted in no drainage and, therefore, zero direct loss of nutrients applied. A modelling exercise, using the APSlM simulation model, was conducted to study the feasibility of practising deferred irrigation at the farm scale on No 4 Dairy farm. Using climate data for the past 30 years, this simulation exercise demonstrated that applying small application depths of FDE, such as 15 mm or less, provided the ability to schedule irrigations earlier in spring and decreased the required effluent storage capacity. A travelling irrigator, commonly used to apply FDE (a rotating irrigator), was found to have 2-3 fold differences in application depth and increased the risk of generating FDE contaminated drainage. New irrigator technology (an oscillating travelling irrigator) provided a more uniform application pattern allowing greater confidence that an irrigation depth less than the soil water deficit could be applied. This allowed a greater volume to be irrigated, whilst avoiding direct drainage of FDE when the soil moisture deficit is low in early spring and late autumn. A recommendation arising from this work is that during this period of low soil water deficits, all irrigators should be set to travel at their fastest speed (lowest application depth) to minimise the potential for direct drainage of partially treated FDE and associated nutrient losses. The average concentrations of N and P in both 2002 and 2003 winter mole and pipe drainage water from grazed dairy pastures were all well above the levels required to prevent aquatic weed growth in fresh water bodies. Total N losses from plots representing standard farm practice were 28 kg N ha-1 and 34 kg N ha-1 for 2003 and 2004, respectively. Total P losses in 2003 and 2004 were 0.35 kg P ha-1 and 0.7 kg P ha-1, respectively. Surface runoff was measured in 2003 and contributed a further 3.0 kg N ha-1and 0.6 kg P ha-1. A number of common dairy farm practices immediately increased the losses of N and P in the artificial drainage water. Recent grazing events increased NO3--N and DIP concentrations in drainage by approximately 5 mg litre-1 and 0.1 mg litre-1, respectively. The duration between the grazing and drainage events influenced the form of N loss due to a likely urine contribution when grazing and drainage coincide, but had little impact on the total quantity of N lost. Nitrogen loss from an early spring application of urea in 2002 was minimal, whilst a mid June application in 2003 resulted in an increased loss of NO3--N throughout 80 mm of cumulative drainage suggesting that careful timing of urea applications in winter is required to prevent unnecessary N leaching. Storage and deferred irrigation of FDE during the lactation season caused no real increase in either the total-N concentrations or total N losses in the winter drainage water of 2002 and 2003. In contrast, land application of FDE using the deferred irrigation system resulted in a gradual increase in total P losses over the 2002 and 2003 winter drainage seasons. However, this increase represents less than 4% of the P applied in FDE during the lactation season. An assessment of likely losses of nutrients at a whole-farm scale suggests that it is standard dairy farming practice (particularly intensive cattle grazing) that is responsible for the great majority of N and P loss at a farm scale. When expressed as a proportion of whole-farm losses, only a very small quantity of N is lost under an improved land treatment technique for FDE such as deferred irrigation. The management of FDE plays a greater role in the likely P loss at a farm scale with a 5% contribution to wholefarm P losses from deferred irrigation.

Tuberculosis (TB) is an ancient infectious disease that has been infecting different populations around the globe and it has also been considered as one of the most successful human and animal disease. TB found in animals such as cattle and other known bovids is known as bovine tuberculosis. Bovine tuberculosis (BTB) is an infectious disease found in cattle mainly caused by Mycobacterium bovis. M. bovis is a member of the Mycobacterium tuberculosis complex (MTC) together with M. tuberculosis, M. africanum, and M. canetti where the natural host is humans; whereas M. caprae, M. microti and M. pinnipedii usually have animals as their natural host. In this study the molecular characterization of the MTC from cow milk in the Eastern Cape was investigated. One hundred and twenty samples (40 ml each) were collected from three dairy farms in the Eastern Cape, South Africa. These samples were processed using a modified Petroff decontamination method. Sample processing was followed by DNA isolation using a Zymo Bacterial/Fungal DNA Kit and the amplification and detection of the MTC was done using the Seeplex MTB Nested ACE assay. The drug susceptibility tests were done using GenoTypeMTBDRplus assay which detects mutations and resistance to INH (isoniazid) and RMP (rifampicin). The milk isolates were further analyzed using a spoligotyping method which is based on the PCR amplification of a highly polymorphic direct repeat locus in the M. tuberculosis genome which detects and types the MTC. A percentage of 20.8 % samples were found to be positive for MTC using the Seeplex MTB Nested ACE assay. There were 42.1 % samples that were resistant to both INH and RMP with the rest sensitive to either INH or RMP. The spoligotyping method showed that 78.3 % samples resembled Family 33 strains and the rest (21.7 %) resembled a spoligotyping signature known to be that of M.africanum. Both these strains belong to the Ancestral lineage with Indo-Oceanic and West Africa 2 lineage. The outcomes of our study showed that molecular methods for detection of MTC can be applied directly on milk samples without the need for culturing.