Rozprawy doktorskie na temat „Dairy farming”

Since the 1990s, the number of intensive dairy farms in Iran has rapidly increased to supply milk to the growing cities. As a result, total production of milk has increased, but scarcities still exist in some regions of the country. Since resources such as feedstuffs are limited, and considerable investment will be required to establish these new farms, the question of production efficiency in Iranian dairy farming seems an important one. Measuring the level of production efficiency, determining the sources of inefficiency, and proposing possible ways of improving the efficiency of the intensive dairy farms are the main aims of this study. In addition to simple measures of partial productivities and profitabilities, a stochastic transcendental frontier production function was estimated, using a single-stage approach to measure overall technical efficiency and its components, and a frontier profit function was used to measure the economic efficiency of individual intensive dairy farms. The latter function was evaluated first with the current distorted prices of milk and concentrates as well as the market prices of other dairy inputs and outputs. However, this frontier led to overestimation of economic efficiency due to ignoring input-price and output-price inefficiencies. To deal with this problem, the frontier was re-evaluated with expected prices defined as fractions of the observed prices of inputs and outputs. In order to investigate the way in which farmers combine dairy inputs, an index of allocative efficiency was also calculated and discussed. All the indices were then compared between the farms specified by factors such as herd size, proportion of pure cattle, etc. The results showed that production efficiency of the intensive dairy farms in Iran can be improved by expanding the proportion of purebred animals, particularly in large farms, and by using as much of the existing capacity of farms as possible.

A key challenge facing dairy farming is to meet the increasing demand for dairy products from a growing and more affluent global population in a period of unprecedented socio-economic and environmental change. In order to address this challenge, policies are currently placing emphasis on ‘sustainable intensification’ (SI), i.e. producing ‘more’ outputs and services with ‘less’ resources and environmental impacts. Determining whether or not SI can deliver greater yet sustainable dairy production requires understanding of the relationships between sustainability pillars (environmental; economic; and social) and farm aspects (e.g. on-farm management; and animal productivity) under particular farming systems and circumstances (e.g. regional bio-physical conditions). Trade-offs between pillars and aspects is inevitable within a farming system. Many widely-used assessment methods that aim to measure, scale and weight these pillars and aspects are unable to fully capture trade-offs between them. The objectives of this thesis are: 1) to identify key trade-offs in dairy farming systems to inform greater yet sustainable food production; and 2) to introduce models and methodologies aiming at a more holistic measurement and better understanding of dairy farm sustainability. This thesis assesses the sustainability of French and UK dairy farming systems via a farm efficiency benchmarking modelling framework coupled with statistical analyses. It explores the relationships between pillars, aspects and technical, economic and environmental performance; and identifies important drivers/differentials in dairy farm efficiency. Importantly, it also suggests ways in which farm inputs and outputs can be adjusted so that improvements in environmental, technical and economic performance become feasible. Efficiency benchmarking was performed with the multiple-input – multiple-output productive efficiency method Data Envelopment Analysis (DEA). DEA calculates single aggregated efficiency indices per farm by accounting for several farm inputs and outputs which the DEA model endogenously scales and weights. In this work, the notion of farm inputs and outputs was extended to also include ‘undesirable’ outputs (greenhouse gas emissions) and environmental impacts (e.g. eutrophication, acidification etc.) of dairy farming. The DEA models employed belong to the family of ‘additive’ models, which have several advantages over ‘traditional’ DEA models. These include their ability (i) to simultaneously increase outputs and reduce inputs, undesirable outputs and environmental impacts; (ii) to identify specific sources of inefficiency. These ‘sources’ represent a farm’s shortfalls in output production and its excesses in input use and/or in undesirable outputs and environmental impacts, relatively to the other farms; (iii) to position undesirable outputs in the output set rather than consider them as inputs or ‘inverse’ outputs; and (iv) to rank farms by efficiency performance. Importantly, this thesis also proposes a new additive model with a ranking property and high discriminatory power. In a second stage, DEA was coupled with partial least squares structural equation modelling (SEM) so as to develop and relate latent variables for environmental performance, animal productivity and on-farm management practices. The results suggested that the efficacy of SI may be compromised by several on-farm trade-offs between pillars, aspects and farm inputs and outputs. Moreover, trade-offs depended on particular farming systems and circumstances. Increasing animal productivity did not always improve farm environmental performance at whole farm-level. Intensifying production at animal and farm-levels, coupled with high reliance on external inputs, reduced farm environmental performance in the French case, i.e. a significant negative relationship was found between intensification and environmental performance (SEM path coefficients ranged between -0.31 and -0.57, p < 0.05). Conversely, in the UK case, systems representing animal-level intensification (via genetic selection) for increased milk fat plus protein production performed better, on average, than controls of UK average genetic merit for milk fat plus protein production in terms of technical efficiency (DEA scores between 0.91– 0.92 versus 0.78–0.79) and environmental efficiency (scores between 0.92–0.93 versus 0.80), regardless of whether on a low-forage or high-forage diet. The levels of inefficiency in (undesirable) outputs, inputs and environmental impacts varied among farming systems and depended on the regional and managerial characteristics of each system. For instance, in France, West farms had higher eutrophication inefficiencies than East farms (average normalized eutrophication inefficiencies were, respectively 0.141 and 0.107), perhaps because of their more intensive production practices. However, West farms were more DEA-efficient than East farms as the former benefited from bio-physical conditions more favourable to dairy farming (mean DEA score ranks were 97 for West and 83 for East). Such findings can guide policy incentives for SI in different regions or dairy systems. The proposed modelling framework significantly contributes to current knowledge and the search for the best pathways to SI, improves widely-used modelling approaches, and challenges earlier findings based on less holistic exercises.

The main goal of this research was to explore the use of benchmarking in the dairy industry. This includes descriptions of the various sectors in North America where benchmarking has been used successfully on a continuous basis or in research. Benchmarking methods that are currently used in the Quebec dairy industry are examined. An improvement to such methods is proposed through the use of visualization, coupled with interactivity, and with a focus on adaptability and usage. The advantages of such an interactive tool are discussed in light of on-farm decision-making, and a further use of visual slider applications is described to help with parameters of known economic importance.

The inclusion of precision dairy farming technologies in dairy operations is an area of increasing research and industry direction. Machine vision based systems are suitable for the dairy environment as they do not inhibit workflow, are capable of continuous operation, and can be fully automated. The research of this dissertation developed and tested 3 machine vision based precision dairy farming technologies tailored to the latest generation of RGB+D cameras. The first system focused on testing various imaging approaches for the potential use of machine vision for automated dairy cow feed intake monitoring. The second system focused on monitoring the gradual change in body condition score (BCS) for 116 cows over a nearly 7 month period. Several proposed automated BCS systems have been previously developed by researchers, but none have monitored the gradual change in BCS for a duration of this magnitude. These gradual changes infer a great deal of beneficial and immediate information on the health condition of every individual cow being monitored. The third system focused on automated dairy cow feature detection using Haar cascade classifiers to detect anatomical features. These features included the tailhead, hips, and rear regions of the cow body. The features chosen were done so in order to aid machine vision applications in determining if and where a cow is present in an image or video frame. Once the cow has been detected, it must then be automatically identified in order to keep the system fully automated, which was also studied in a machine vision based approach in this research as a complimentary aspect to incorporate along with cow detection. Such systems have the potential to catch poor health conditions developing early on, aid in balancing the diet of the individual cow, and help farm management to better facilitate resources, monetary and otherwise, in an appropriate and efficient manner. Several different applications of this research are also discussed along with future directions for research, including the potential for additional automated precision dairy farming technologies, integrating many of these technologies into a unified system, and the use of alternative, potentially more robust machine vision cameras.

For several decades, the practice of farming in mountain areas has played a key role to the proper management of the landscape, the conservation of the biodiversity as well as the soil protection. Moreover, it has significantly contributed to the protection of those areas from avalanches and fires, while at the same time it keeps reinforcing the local economy, thereby acting as a counterweight to abandonment. The mountain animal husbandry is by definition multifunctional and multidisciplinary. In fact, mountainous farming consists of a complex and dynamic system. The harmony and the balance between human activities and nature requires some of the most precious human skills, like patience, self-abnegation, endurance to handiwork and frugality, to name some, but above all, love for mother nature. These are characteristics that ensure continuity and vitality of the mountain for both humans and the surrounding nature. In Italy, almost half of the total land is classified as mountainous (47.5%). Nevertheless, farmers in mountainous regions (representing 30.9% of the national total) face several limitations. These limitations, linked to the existence of natural handicaps, cannot be easily overcome with investments. For example, in mountains the average temperatures are lower, resulting in shorter vegetative period. Moreover, the excessive fractionation, the major gradients and roughness of the lands and at the same time the lower fertility of soils, create the need for special machinery (often more expensive than those used in mainland farms) as well as increased labor and extra inputs for the farms. These factors can lead to a lower land (and consequently farm) productivity, which can be translated into a limited competitiveness of the mountain farms, compared to mainland. In addition, the difficulty of access and the distance of individual dairy farms from the lowland as well as the fewer processing facilities and their small size, create higher transportation costs and lower economies of scale. Thus, the overall objective of this thesis was to verify some parameters of sustainability that are of great importance for animal husbandry in the mountain areas. The province of Trento was selected as a model area for this type of research. More precisely, we have analyzed the relationship between dairy farms and management of the Alpine pastures, in the light of the environmental value of semi-natural grasslands. The first and second contributions are related to this goal. In the last part a survey was carried out to assess the environmental footprint of dairy farms of Trento province, focusing on innovative aspects of nutrition and management of the animals bred. More specifically, the goal of the first contribution was to analyze the role of the mountain livestock sector. At a first step, data were collected from the Veterinary Services of the province concerning the structures and the management of 395 Alpine summer pastures either with cattle (83 with only heifers and 262 including dairy cows) or sheep and goats (50 summer pastures). All the heifers and more than one third of dairy cows that kept on permanent farms of the province were brought to the temporary farms on the Alpine pastures during the summer season, with a frequency greater for cows of local and dual purpose breeds than specialized breeds (e.g. Holstein Friesian). Of the 610 permanent dairy farms associated with the Provincial Federation of Farmers, we have analyzed the differences between the dairy farms that move/do not move the lactating cows to Alpine summer pastures: i.e. the traditional dairy farms (small and medium size), with tied stall, local breeds and with low productivity, frequently using the summer pasture were compared to modern dairy farms of the same province. Results showed that the practice of transhumance to summer pasture has an important role for the dairy sector of Trento province, although the farmers changed the reasons why they choose to move the animals. In fact, the role of grazing as production support in the summer is relevant just for the traditional small and medium dairy farms, while in all cases it is important to access public subsidies that are undifferentiated between lactating cows, dry cows and replacement. The study displayed the fact that there is still the need to maintain the link between dairy farms and Alpine pastures, giving particular attention to the quality of the pasture management and the multi-functionality of services that can be provided by mountain farms. The second part aimed in evaluating the effect of pasturing of dairy cows on milk yield and quality. To this purpose, a many of traits was considered. Body Condition Score (BCS), milk production and quality, milk coagulation properties, different set of parameters and information relating to dairy processing were recorded and analyzed. In total, date regarding 799 lactating cows were collected and analyzed during 2012 from 15 temporary farms on Alpine summer pastures located in the region of Trentino. The cows were reared in 109 permanent dairy farms. Effects of the breed, parity and days in milk were taken into account. The effects of Alpine summer pasture, and in particular of the amount of compound feed given to cows, were also considered. Information was gathered not only during the period that the cows spent at the Alpine summer pasture, but also before and after the alpine season, with the objective to evaluate the changes due to the environmental changes. Results showed that the summer transhumance had an effect more or less relevant in determining a decrease in production, but also depending upon the breed. Specialized breeds, with higher production levels in permanent dairy farms, suffer a greater drop in production than the local and dual purpose breeds. This was somehow expected, since local breeds have a greater adaptability and lower nutrients requirements. Even the body condition score has been strongly influenced from the summer Alpine pasture. A decline in the first phase of the pastures and a subsequent recovery at the end of the pasture period was observed. Differences between breeds existed, with those specialized breeds showing a greater decrease in body condition. After the return from the Alpine pastures a decline in the percentage of fat content in milk (more evident in specialized breeds) was observed, while the protein content remained constant. Regarding the technological properties of milk, significant differences were found with the change of environment (after the reaching of temporary summer farms and after the return to permanent farms). The major differences for lactodynamographic properties as well as the individual cheese yields were observed between June and September. In summary, this work highlighted the better adaptation of local and dual purpose breeds in the Alpine environment and their good performance under environmental changes as well as the special conditions of the farming system in summer pasture. The last part of this thesis aimed to evaluate the environmental footprint of mountain dairy cattle farms. The study was conducted in a specific area of the Province of Trento. Data were collected from 38 dairy cattle farms of mixed breeds using different farming systems. Data on the general farm management, diet, the production performance, the agronomic management of the surfaces, the management of waste, and the energy consumption were collected. A specific questionnaire was developed and tested to this purpose. This specific questionnaire could also be used for further investigation in mountain region. The above mentioned data were used to calculate the carbon footprint of the herds using the Life Cycle Assessment (LCA) approach. The study included the entire product life, i.e. from production of raw materials and their processing till the final product (the functional unit was the kilogram of milk). All the inputs and outputs associated to the functional unit were taken into account. Three categories of environmental impact of the farms were considered: i) carbon footprint (contribution to the production of greenhouse gases), ii) acidification and iii) eutrophication. The values obtained for the three impact categories had large variability, with mean and standard deviation equal to 1.46 ± 0.58 kg for CO2 equivalent (eq), 27.18 ± 8.34 g for SO2 eq. and 7.91 ± 2.31 g for PO43- eq. per kg of milk (fat and protein corrected). The values obtained are comparable with previous studies carried out in mountain areas. The overall impact was divided between on-farm and off-farm components, and was shared according to mass allocation between milk and meat. Analysis of variance showed that the considered effects of housing (free vs fixed) and feed administration (traditional vs TMR), even if appeared statistically significant for some traits, slightly affected the high variability of the impact categories that can be observed among different dairy farms of the same group. This means that there are margins to mitigate the impact and increase the efficiency of farms with different structures and management. Overall, the results of the present thesis provided with some interesting insights on the sustainability assessment of dairy farming systems in mountainous areas, adopting innovative methodological approaches. Looking ahead, the results obtained from experimental approaches could be expanded on a large pool of dairy farms to identify the indicators of reference for the evaluation of the sustainability and multi-functionality of mountain farms.
La pratica dell’allevamento nel territorio montano ha avuto un ruolo fondamentale per la corretta gestione del paesaggio, la conservazione della biodiversità e la protezione del suolo. Inoltre svolge notevoli positività anche in termini di protezione dalle valanghe e dagli incendi, nel contrasto all'abbandono e soprattutto per lo sviluppo dell'economia locale. La zootecnia montana è per definizione multifunzionale e multidisciplinare. Infatti, spesso è artefice di uno sviluppo più complesso e dinamico, in grado di integrare altri comparti economici quali ad esempio il turismo o il sociale, assicurando continuità e vitalità alla montagna. In Italia quasi la metà del territorio è classificato come montano (47.5%) dove gli agricoltori presenti (30.9% sul totale nazionale) devono affrontare diverse limitazioni, legate all'esistenza di svantaggi naturali, che non sono facilmente affrontabili con investimenti. Le temperature medie inferiori, con conseguente periodo vegetativo più breve, l’eccessivo frazionamento, le maggiori pendenze e asperità dei suoli e allo stesso tempo la minore fertilità dei suoli stessi, la necessità di macchinari spesso più costosi come pure i tempi di lavoro più lunghi, hanno come conseguenze una minore produttività della terra, tradotto in una limitata competitività e produttività del lavoro. In aggiunta, la difficoltà di accesso e la lontananza delle singole aziende dal fondovalle, un minor numero di strutture di trasformazione e le loro ridotte dimensioni, sono la causa di maggiori costi di trasporto e minori economie di scala. L’obiettivo generale di questa tesi è di verificare alcuni parametri di sostenibilità di notevole rilievo per la zootecnia montana nella Provincia Autonoma di Trento. Nello specifico, sono state analizzate le relazioni tra bovinicoltura da latte e gestione degli alpeggi, alla luce della valenza ambientale delle praterie semi-naturali; il primo e il secondo contributo sono relativi a questo obiettivo. Nell'ultimo contributo è stata svolta un'indagine per calcolare l'impronta ambientale della bovinicoltura da latte trentina, con un innovativo focus sugli aspetti di nutrizione e gestione degli animali allevati. Nello specifico l’obiettivo del primo contributo è di analizzare il ruolo delle malghe nel comparto zootecnico montano. Sono stai raccolti dal servizio veterinario della Provincia i dati riguardanti le strutture e il management di 395 malghe dove erano presenti bovini da latte (83 solo manze e in 262 anche bovini adulti) e ovicaprini (50 strutture). Praticamente tutte le manze e più di un terzo delle vacche da latte allevate negli allevamenti di fondovalle della provincia sono portate al pascolo durante la stagione estiva, con una frequenza maggiore per le vacche di razze locali e a duplice attitudine rispetto a quelle specializzate. Delle 610 aziende di fondovalle associate alla Federazione allevatori, sono state analizzate le differenze tra le aziende che praticano/non praticano la monticazione delle vacche in lattazione: le aziende tradizionali di dimensioni medio-piccole, con stabulazione fissa, razze locali e con bassa produttività, usano più frequentemente la pratica dell’alpeggio rispetto alle aziende moderne. I risultati evidenziano come la pratica dell’alpeggio mantenga un ruolo importante per la zootecnia trentina, nonostante siano cambiate le motivazioni per cui gli allevatori scelgono di monticare gli animali. Il ruolo del pascolamento come supporto alla produzione nel periodo estivo rimane rilevante per le aziende tradizionali medio-piccole, mentre in tutti i casi riveste una particolare importanza, la possibilità di accedere a contributi indifferenziati tra bovini in lattazione, asciutta e rimonta. Si devono creare le condizioni perché il legame tra aziende e malghe possa essere mantenuto, con particolare attenzione alla qualità della gestione dei pascoli e alla multifunzionalità di servizi che possono essere forniti dalle aziende zootecniche montane. Il secondo contributo mira a valutare l'effetto della monticazione delle vacche da latte su caratteri produttivi e sulla condizione corporea, nello specifico: body condition score (BCS), produzione, qualità e proprietà di coagulazione del latte, e i parametri relativi alla trasformazione casearia. In totale sono stati raccolti e analizzati i dati di 799 vacche in lattazione, monticate nel 2012 su 15 malghe trentine che allevavano capi di diverse razze provenienti da 109 aziende permanenti. I parametri oggetto di studio sono stati messi in relazione alla razza, all’ordine di parto e ai giorni di lattazione, tenendo conto dell'effetto malga, e in particolar modo della quantità di mangime somministrato alle vacche. Il lavoro ha analizzato non solo il periodo di permanenza delle vacche in alpeggio ma anche prima e dopo la stagione di malga con l’obiettivo di valutare i cambiamenti dovuti al cambio di ambiente. I risultati evidenziano come la monticazione abbia un effetto più o meno rilevante nel determinare un calo di produzione a seconda delle razze. Le razze specializzate, con livelli produttivi più elevati nelle aziende permanenti, soffrono un maggior calo di produzione rispetto a quelle locali o a duplice attitudine, che si adattano meglio alle condizioni di alpeggio. Anche la condizione corporea degli animali è fortemente influenzata dall’alpeggio, con un calo nella prima fase della monticazione e un recupero successivo. Emergono delle differenze tra razze, con quelle specializzate che presentano un maggior calo di condizione corporea. Dopo la monticazione si è assistito ad un calo del contenuto percentuale di grasso nel latte (particolarmente evidente nelle razze specializzate), mentre il contenuto di proteine è rimasto costante. Per quanto riguarda le caratteristiche tecnologiche del latte, si sono riscontrate significative differenze sia dopo la monticazione, sia dopo il periodo estivo con il ritorno in azienda. Le maggiori differenze si sono però riscontrate tra giugno e settembre sia in termini di lattodinamografia sia in termini di rese. In conclusione, il lavoro evidenzia la migliore adattabilità delle razze locali e a duplice attitudine al cambiamento di ambiente e alle condizioni di allevamento in malga. Il terzo contributo ha l'obiettivo di valutare l’impronta ambientale di allevamenti montani di bovini da latte. È stato condotto un approfondito studio sul territorio della provincia di Trento, considerando un campione di 38 allevamenti di vacche da latte di razze miste con differenti sistemi di allevamento. Tramite visite aziendali sono stati raccolti dati relativi alla gestione e alimentazione dei bovini, alle prestazioni produttive, alla gestione agronomica delle superfici, alla gestione dei reflui e ai consumi energetici. A questo fine è stato sviluppato e testato un questionario specifico che potrà essere proposto per ulteriori indagini in ambito montano. La mole di dati raccolti è stata utilizzata per calcolare l’impronta ecologica degli allevamenti con approccio Life Cycle Assessment (LCA). Lo studio comprende l’intera vita del prodotto, dalla produzione delle materie prime, alla loro lavorazione e utilizzo finale considerando tutti gli input e gli output associati all’unità funzionale (il kg di latte). In questo studio sono state considerate tre categorie di impatto: carbon footprint (contributo alla produzione di gas serra), acidificazione ed eutrofizzazione, relative all’anno 2013. I valori ottenuti per le tre categorie di impatto presentano un’ampia variabilità, con medie e DS pari a: 1.46 ± 0.58 kg CO2 eq, 27.18 ± 8.34 g SO2 eq. e 7.91 ± 2.31 g PO43- eq. per kg FPCM. I valori ottenuti sono in linea con quanto riportato da altre ricerche condotte in ambito montano. L’impatto complessivo è stato diviso tra componenti on-farm e off-farm, e sono stati ripartiti gli impatti con allocazione di massa tra latte e carne. L’analisi della varianza ha messo in evidenza come gli effetti considerati (stabulazione, libera vs fissa, e modalità di somministrazione degli alimenti, tradizionale vs unifeed), pur significativi in alcuni casi, influiscano in maniera poco rilevante sulla variabilità delle categorie di impatto mentre esiste una rilevante variabilità dei risultati tra aziende diverse dello stesso gruppo. Ci sono quindi margini per mitigare l’impatto e aumentare l’efficienza degli allevamenti, anche con strutture e gestioni diverse. Nel complesso, i risultati della tesi offrono degli interessanti spunti sulla valutazione della sostenibilità della bovinicoltura da latte nelle aree montane, con approcci metodologici innovativi. In prospettiva, i risultati ottenuti dagli approcci sperimentali condotti potranno essere ampliati su un pool ampio di aziende al fine di identificare degli indicatori di riferimento per la valutazione della sostenibilità e multifunzionalità degli allevamenti montani.

The goal of this research was to explore the use of machine learning to assist in the development of knowledge-based systems (KBS) in dairy farming. A framework was first developed which described the various types of management and control activities in dairy farming and the types of information flows among these activities. This framework provided a basis for the creation of computerized information systems and helped to identify the analysis of group-average lactation curves as a promising area of application. A case-acquisition and decision-support system was developed to assist a domain specialist in generating example cases for machine learning. The specialist classified data from 33 herds enrolled with the Quebec dairy herd analysis service, resulting in 1428 lactations and 7684 tests of individual cows, classified as outlier or non-outlier, and 99 interpretations of group-average lactation curves. To enable the performance analysis of classifiers, generated with machine learning from these small data sets, a method was established involving cross-validation runs, relative operating characteristic curves, and analysis of variance. In experiments to filter lactations and tests, classification performance was significantly affected by preprocessing of examples, creation of additional attributes, choice of machine-learning algorithm, and algorithm configuration. For the filtering of individual tests, naive-Bayes classification showed significantly better performance than decision-tree induction. However, the specialist considered the decision trees as more transparent than the knowledge generated with naive Bayes. The creation of a series of three classifiers with increased sensitivity at the expense of reduced specificity per classification task, allows users of a final KBS to choose the desired tendency of classifying new cases as abnormal. For the main interpretation tasks, satisfactory performance was achieved. For the filtering tasks, performance was fai

The literature concerning the nutritional content of white clover as a grazed herbage or conserved crop offered to dairy cattle and aspects of frothy bloat are reviewed. In the first nine week change-over design experiment the effect on milk production and behaviour of spring calving dairy cows grazing white clover/grass swards at contrasting sward heights were examined. Grazing the clover/perennial ryegrass sward to a height of 4 cm increased clover content, but reduced milk production. The 8 cm sward increased milk yields by 15.8%. This was accompanied by an increase in fat and protein yields. Grazing time and biting rate were increased on the 4 cm sward. Cows offered choice between sward types produced intermediate milk production values. A second change-over design experiment conducted over 12 weeks examined milk production and behaviour of spring calving dairy cows in early lactation grazing perennial ryegrass or White clover/perennial ryegrass swards alone or offered a choice between the two sward types or grazed on clover/perennial ryegrass during the day and perennial ryegrass at night. The inclusion of clover in the diet of the dairy cows significantly increased milk production, but reduced fat content. Protein content, fat and protein yields were increased. Cows offered a choice or mixed day and night grazing regime produced similar results, which were intermediate between the clover/ryegrass and perennial ryegrass treatments. Grazing time was increased on clover/perennial ryegrass swards. This experiment also 1 demonstrated the ability of cows to adjust their grazing time to maximise herbage intake. The third experiment compared the value in relation to milk production of three different buffer forages fed to spring calving dairy cows in late lactation grazing either clover/ryegrass or ryegrass swards. The forages were ryegrass and ryegrass/clover silages and ryegrass hay. Milk yield and composition were not affected by forage type, but intakes were higher for grass silage for cows grazing clover/ryegrass swards and visa versa. Hay OM intake was low. The final experiment conducted over the first 15 weeks of the grazing season studied the effect of energy:protein concentration of strawmix supplements on the productivity of spring calving dairy cows grazing a high white clover sward. Milk yields were increased by the provision of a strawmix supplement. The energy:protein ratio had a significant effect on milk composition except fat content. The high energy:high protein supplement tended to precipitate ruminal tympany (bloat), while the low energy:high protein supplement tended to reduce ruminal tympany on this clover based sward. These experiments have given some insight into the use of clover and stimulated questions which require further investigation to enable the farmer to safely incorporate clover into dairy farming systems.

The analysis of cost and profit efficiencies of a sample of 588 Quebec dairy farms shows significant potential to reduce costs and increase profits. In general, the small farms were more cost efficient while large farms were more profit efficient. Increased use of farm grown feed was associated with higher efficiency while increased use of concentrates was associated with lower efficiency.
The productivity of individual dairy farms were estimated using data envelopment analysis. The average annual growth rate of productivity was 0.70% with a standard deviation of 2.44% for the 1987--93 period. The Spearman's rank correlation coefficient did not show any significant relationship between farm size and growth rate.
The Artificial Neural Networks (ANN) approach, used for the first time to estimate technical efficiency, performed equally as good as the regression models in modeling the technology especially at the higher levels of output. The efficiency values estimated using ANN were higher than that estimated by ordinary least squares method. The results indicate the existence of significant potential for improving the efficiency of resources on Quebec dairy farms.

Precision dairy farming technologies provide a variety of functions to dairy farmers. Little is known about dairy producer perception of these technologies. A study was performed to understand dairy producer perception of parameters monitored by precision dairy farming technologies. Calving has potential to be predicted using these same parameters and technologies. A second study was performed using two commercially marketed technologies in calving prediction. In order for these technologies to generate accurate and useful information for dairy farm use, they must accurately quantify these parameters. The final study evaluated the accuracy of five commercially marketed technologies in monitoring feeding, rumination, and lying behaviors.

Umfang und Intensität der Milchviehhaltung nehmen immer weiter zu, dies gilt auch für den Iran. Das Ziel dieser Studie waren die Ermittlung und Bewertung der Energieeffizienz der Milchviehhaltung und Futterproduktion im nordwestlichen Iran. Daten wurden auf einem Futterbaubetrieb und auf 24 Milchviehbetrieben im nordwestlichen Iran erfasst. Es wurde eine Untersuchungsmethode erarbeitet, die auf der VDI-Richtlinie 4600 Kumulierter Energieaufwand (KEA) und dem ISO-Standard 14044 Umweltmanagement – Ökobilanz basiert. Die Energieintensität (EI) im Futter (in MJ kg-1 DM) lag bei 2,92 für Luzerne, bei 6,76 für Gerste, bei 9,19 für Mais, bei 12,36 für Raps, bei 2,45 für Frühjahrsmaissilage, bei 4,45 für Sommermaissilage und bei 4,35 für Weizen. Die EI der energiekorrigierten Milch (ECM) lag bei 5,84±0,69 MJ kg-1, bei einer Milchleistung von 6.585±1.221 kg ECM Kuh-1 Jahr-1. Die Futter waren die Hauptquelle des Energie-Inputs in die Milchproduktion, mit einem Anteil von 79%. Innerhalb der in den untersuchten Betrieben vorgefundenen Milchleistung (3.860-8.320 kg ECM Kuh-1 Jahr-1) verringerte sich die EI bei steigender Milchleistung (-0,36 MJ kg-1 ECM je +1.000 kg ECM Kuh-1 Jahr-1). Die Allokation des Energie-Inputs führte zu einem Anteil von 83% auf dem Milch, 2% auf den Fleisch und 15 % auf den Wirtschaftsdünger. Die EI des mit Bullen bis zu einer Körpermasse von 400 kg produzierten Schlachtfleisches lag bei 75,4±9,1 MJ kg-1, bei Fortführung der Mast bis zu 700 kg lag sie bei 103,8±11,4 MJ kg-1. Die EI bei ersetzten, geschlachteten Milchkühen bei 16,3 MJ kg-1 Fleisch lag. Die Kalkulation der EI auf Basis des Brennwert der Futter, führte zu einer EI in der Milchproduktion von 23,7±3,37 MJ kg-1 ECM und in der Erzeugung von Bullenfleisch (400 kg Körpermasse) 314±25 MJ kg-1. Das Energie Output-Input-Verhältnis (OIR) lag zwischen 2,03 MJ MJ-1 für Körnermais und 7,75 MJ MJ-1 für Frühjahrsmaissilage. Während OIR in der Milch 0,55 MJ MJ-1 und in der Fleisch 0,12 MJ MJ-1 betrug.
Dairy farming is increasing and becoming more intensive, attendant on higher energy inputs, also in Iran. The aim of this study was to estimate and assess the energy efficiency of dairy farming and the related feed production in north-western Iran. Data were gained from a com-pany producing feeds in north-western Iran, and from 24 dairy farms, also in north-western Iran for a period of three years. A method of investigation was devised based on the cumula-tive energy demand (CED) method introduced by VDI guideline 4600 and ISO standard 14044, which is used in life cycle assessment (LCA). The energy intensity (EI) in the feed production (in MJ kg-1 DM) was 2.92 for alfalfa, 6.76 for barley grain, 9.19 for maize corn, 12.36 for rapeseed, 2.45 for spring maize silage, 4.45 for summer maize silage and 4.35 for wheat grain. The EI for the energy corrected milk (ECM) was 5.84±0.69 MJ kg-1 with a ECM yield of 6,585±1,221 kg cow-1 yr-1. Feedstuff was the main source of energy input in milk production, with approximately 79% of the total energy input. The EI was decreasing with an increasing milk yield (-0.36 MJ kg-1 ECM per +1,000 kg ECM cow-1 yr-1), within the range of the milk yield found in the investigated farms (3,860-8,320 kg ECM cow-1 yr-1). The energy input was allocated to milk (83%), manure (15%) and meat (2%). The EI for boneless meat produced by bulls up to 400 kg body mass was 75.4±9.1 MJ kg-1 and produced by bulls up to 700 kg was 103.8±11.4 MJ kg-1. The allocated EI for meat of the replacing slaughtered cows was 16.3 MJ kg-1 of meat. By calculating the EI for milk production on the basis of the higher heating value (HHV) of feeds, it yielded in a mean EI of 23.7±3.37 MJ kg-1 ECM and an EI of 314±25 MJ kg-1 bull meat (400 kg body mass). Energy output input ratio (OIR) ranged between 2.03 MJ MJ-1 for maize corn and 7.75 MJ MJ-1 for spring maize silage production. While, in milk production OIR was 0.55 MJ MJ-1 and in meat production 0.12 MJ MJ-1.

The dairy industry is one of the most important and influential agricultural sector in New Zealand. Ensuring and enhancing the industry's productivity and efficiency represent a fundamental issue in New Zealand economic growth. September 2007, the NZ Labour Government proposed an Emission Trading Scheme as a way to comply with its Kyoto obligation, and it is the first country in the world that brings agricultural sector in. Given the emission intensive nature of dairy production, the industry is facing substantial increases in production costs and reduction in payout. The efficiency performance of dairy farming might also be affected as a result of changing farming practices. The overall objective of the thesis is to analyze the efficiency performance of NZ dairy farming, with implications regarding the climate change issue. Stochastic frontier analysis is applied to a panel of NZ dairy farms in 1998/99-2006/07. The structures of the existing production technology, technological change over time, and difference between South Island and North Island dairy farming are investigated within this stochastic frontier framework. An input efficiency measure is defined and evaluated at the expected cost minimizing input bundle. If the efficiency performance for emission intensive inputs could be improved, dairy farms will decrease their emissions without loss of production or additional costs. This input efficiency measure therefore allows for the combination of a farm's environmental pressure with its economic performance. Finally, the likely impacts of the ETS on dairy industry are discussed through an analysis regarding the point of obligation issue, and an illustration of changing farming practices when fertilizer price goes up as a result of emission charges.

Body condition scoring is a technique used to noninvasively assess fat reserves. It provides an objective estimate to describe the current and past nutritional status of the dairy cow and has been associated with increased disease risk and breeding success. Traditionally body condition scores are taken manually by visual appraisal on a 1 to 5 scale, in one-quarter increments. However, recent studies have shown the potential of automating the body condition scoring of cows using images. The first objective was to estimate the likelihood of disease development and breeding success, using odds ratios, associated with body condition score scored automatically at various points in lactation. The second objective of our research was to use a commercially available automated body condition scoring camera system to monitor body condition across the lactation period to evaluate differences between stratified parameters and to develop an equation to predict the dynamics of the body condition score. We found that poor body condition score at different times during the transition period are associated with increased disease occurrence and lower reproductive success. Automated body condition scoring (ABCS) curve during lactation was influenced by many factors, such as parity, ABCS at time of calving, disease occurrence, and milk production.

The rapid expansion of China’s dairy herd in recent years, with a primary objective of increasing milk production, has given rise to speculation on the potential beef production from this Chinese black and white herd. This study examines whether or not economic incentives exist for dairy and beef producers in China to adopt dairy—beef production and the impact of dairy-beef production on Chinese beef supply, demand and international trade.

Loss of native biological diversity is a world-wide problem of growing international concern. One of the main causes of native biodiversity loss is destruction and degradation of native habitat through land development for agriculture. The Waikato region is an example of the destruction and degradation of native habitat in association with the development and intensification of farming, including dairy farming. This thesis explores cultural reasons for the loss of native forest in the Waikato region, and reasons why fragments of native forest remain. The research involves a participant observation study of 'typical' dairy farm families for 9 months of the dairy year, in-depth interviews of dairy farmers who have protected a significant proportion of their land for conservation of native habitat, a questionnaire of dairy farmers, and an examination of dairy farm magazines and other literature to identify the values and attitudes that motivate dairy farmers in relation to land management and protection of native habitat. The title of the thesis suggests two elements that are important for understanding the loss and persistence of native forest in Waikato's farmed landscapes. Symbolic reason refers to the values, attitudes and perceptions of farmers that derive from socio-political and economic forces which encourage productivist practises that leave little opportunity for native forest to survive. Material agency refers to the local circumstances of particular farms and individual people which enable native forest to persist. The thesis argues that persistence of native forest depends on the idiosyncrasies of material circumstance in the face of relentless pressure to transform the production landscape for economic purposes. The thesis concludes with a suggestion that policies to assist survival of native habitat in farmed landscapes need to include ones that encourage the odds in favour of fortuitous circumstance. In the face of globalised economic pressures, policies for conservation of native biodiversity need to involve a 'portfolio' of measures that apply to individual landowners and the wider rural community by recognising, assisting and rewarding management for non-production values.

Thesis (PhD)--Stellenbosch University, 2015.
ENGLISH ABSTRACT: This thesis uses dairy farming in colonial Zimbabwe/Southern Rhodesia as a lens to explore the intersection of economic, social and environmental factors in colonial agriculture from the 1890s until 1951, when a new regulatory framework was introduced for the industry. It examines the complex and fluid interactions between the colonial state and farmers (both white and black), and the manner in which these interactions shaped and reshaped policy within the context of the local political economy and the changing global economic conditions. It examines the competing interests of the colonial state and farmers, and how these tensions played out in the formulation and implementation of dairy development policy over time. This thesis demonstrates that these contestations profoundly affected the trajectory of an industry that started as a mere side-line to the beef industry until it had become a central industry in Southern Rhodesia’s agricultural economy by the late 1940s. Thus, besides filling a historiographical gap in existing studies of Southern Rhodesia’s agricultural economy, the thesis engages in broader historiographical conversations about settler colonial agricultural policy and the role of the state and farmers in commercial agriculture. Given the fractured nature of colonial administration in Southern Rhodesia, this study also discusses conflicts among government officials. It demonstrates how these differences affected policy formulation and implementation, especially regarding African commercial dairy production. This thesis also explores the impact of a segregationist agricultural policy, particularly focusing on prejudices about the “African body” and hygiene. It shows how this shaped the character of both African and white production trends. It demonstrates that Africans were unevenly affected by settler policy, as some indigenous people continued to compete with white farmers at a time when existing regulations were intended to exclude them from the colonial dairy industry. It argues that although dairy farming had grown to be a strong white-dominated industry by 1951, the history of dairy farming during the period under review was characterised by contestations between the state and both white and African farmers.
AFRIKAANSE OPSOMMING: Hierdie tesis gebruik suiwelboerdery in koloniale Zimbabwe/Suid-Rhodesie as ’n lens om die ekonomiese, sosiale en omgewingsgerigte kruispunte in koloniale landbou van omstreeks 1890 t 1951 toe ‘n nuwe regulatoriese raamwerk vir suiwelboerdery ingestel is te, ondersoek. Die komplekse en vloeibare interaksies tussen die koloniale staat en boere (wit sowel as swart) en die wyse waarop hierdie interaksies beleid binne die konteks van die plaaslike politieke ekonomie en die globale ekonomiese omstandighede gevorm en hervorm het, word ondersoek. Hierbenewens word gelet op die spanninge tussen die belange van die koloniale staat en die boere (wit sowel as swart) en hoe hierdie spanning oor tyd in die formulering en implementering van suiwelbeleid gemanifested het. Hierdie tesis demonstreer dat di spanninge en stryd ’n diepgaande uitwerking gehad het op ’n bedryf wat aanvanklik as ondergeskik tot die vleisbedryf begin het, naar teen die leat as ‘n sentrale veertigerjere bedryf in die Rhodesiëse landelike ekonomie uitgekristalliseer het. Benewens die feit dat die proefakrif ’n historiografiese leemte in bestaande koloniale Zimbabwe aangespreek, vorm dit ook deel van ’n breër historiografiese diskoers ten opsigte van setlaar koloniale landbou in Zimbabwe en die rol van die staat en boere in kommersiële landbou. Vanweё die gefragmenteerde aard van koloniale administrasie in Suid-Rhodesië, fokus die tesis ook op die konflikte tussen regeringsamptenare en hoe hierdie geskille veral beleidsformulering en implementering ten opsigte van swart kommersiële suiwelboerdery beïnvloed het. Vervolgens word die uitwerking van ’n landboubeleid geliasear of segragasi onder die loep geneem met spesiale verwysing na die geskiktheid van swartmense vir kommersiële suiwelboerdery en hoe dit die aard en karakter van beide swart sowel as wit produksie tendense beïnvloed het. Daar word aangedui dat swartmense nie eenvormig deur setlaarsbeleid geraak is nie aangesien van hulle met wit boere meegeding het op ’n stadium toe die heersende regulasies daerop gemik was oin baie van hulle uit die koloniale suiwelbedryfwit te slint. Die sentrale argument is dat hoewel suiwelboerdery sterk wit gedomineerd was teen 1951, die geskiedenis van die bedryf gedurende die tydperk onder bespreking gekenmerk is deur stryd en konflite tussen die staat en wit sowel as swart boere.

The Canadian supply managed dairy sector is likely to face more competitive pressure from challenges through the World Trade Organization (WTO) and the changing global trade environment. Therefore, it is highly prudent for Canadian dairy producers to focus their concern on their level of competitiveness and how to improve it. This study investigated the competitiveness of Ontario dairy sector based on a sample of farm level data with a Box-Cox transformed econometric cost model. The data were gathered by the Ontario Dairy Farm Accounting Project, for the years 2005, 2006, and 2007. The impacts of output, yield per cow and several farm-specific characteristics on the average cost of milk production were examined. Results support the presence of significant size economies and yield economies within Ontario milk production. Minimum costs were achieved for farms with approximately 125 cows. The results also indicated that some farm-specific characteristics, breed and region, also had significant impacts on the cost of Ontario milk production. However, it appears that Ontario farms may find it difficult to survive if they are forced to face international competition. Even at their minimum, average costs were above an indicator international dairy price.

Stearns County, Minnesota is the number-one dairy-producing county in the number-one dairy-producing region--the Midwest--in the country. The area has been home to German-Catholic immigrants from the Rheinland region of Germany since the mid- to late-1850s, when they traveled across Canada and the northeastern United States before finally settling on homesteads in Central Minnesota. 150 years later, the descendants of these settlers still live and farm the same area. Through it all, these farmers have kept a similar schedule: six days of fieldwork, Sunday for rest. And, nearly since the day they arrived in the area, that day of rest has featured one sacred leisure activity: baseball. The state of Minnesota boasts over 250 amateur baseball teams, the most of any state in the country. In the summer of 2012, I moved to Spring Hill, Minnesota, a town of 85, to play for the Spring Hill Chargers and work on the farm. My thesis lies at the intersection of farming and baseball, showing the reader both how little and how much has changed for these men who still farm their land of their forebears and still play America's game. A Summer in the Land of Milk tells my story of living and working in a rural area where the past hangs like a shadow and the future is frighteningly uncertain.

Microcomputer simulation was used to evaluate effects of all combinations of two levels of involuntary culling, heifer rearing, and sire selection against dystocia in heifers on timing and magnitude of net income in dairy cattle. Time to cumulative payoff of expenses and net income per day of herdlife were measured for herds and individual cows. Net income was accumulated monthly, and expressed per day of life and per day to 96 mo. Twenty herds of 80 cows were simulated for 20 yr under eight options in the herd study. More than 1000 cows with complete herdlives, from a single herd, were individually simulated for each of eight options in the cow study, with no voluntary culling of cows. For the herd study, milk yield per cow averaged 6838 kg ± 858 kg/yr, and net income per cow was $671 i $193/yr. Mean time to payoff was 60.0 mo, and mean net income to 96 mo, including salvage value, was $.36/d. Heifers calving at 26 mo had rearing expenses of $1030, time to payoff of 54.6 mo, and net income of $.432/d, compared with rearing expenses of $1200, time to payoff of 70.0 mo, and net income of $.285/d for heifers calving at 32 mo. Options with 12% involuntary culling paid off 2.3 mo earlier and had $.081 more net income per day than 24% involuntary culling. Differences in response variables due to sire dystocia and PD Dollars were minimal. Options with 26 mo age at first calving, 12% involuntary culling, and random mating had earliest time to payoff (54.0 mo) and highest net income ($.485/d). Options with 32 mo age at first calving, 24% involuntary culling, and random mating had latest payoff (74.3 mo) and lowest net income (S.246/d). Herds and years had large effects on time to payoff and net income due to differences in herd production and genetic trend of sires for production over time. Including salvage value for cows surviving 96 mo increased net income $.064/d for herds, and $.25/d for cows. Twenty-one percent of the value of increased milk yield was attributed to increased feed costs. For the cow study, cost of rearing heifers was $141 ± $127, mean time to payoff was 53.4 mo, and mean time to cumulative profit was of 56.5 mo. Cumulative profit represented positive cumulative net income for 12 consecutive mo, which included 69% of cows with time to payoff. Net income was $.19/d for all cows, $.46/d for cows with a first calving, $.60/d for cows surviving 96 mo, and $.85/d for cows surviving 96 mo including salvage value. Heifers calving at 26 mo paid off expenses at 47.1 mo, compared with 60.6 mo for heifers calving at 32 mo. Heifers calving at 26 mo cost $.07/d more to raise to first calving, but paid off by 70 d in milk into their second lactation, compared with payoff by 140 d in milk of the third lactation for cows calving at 32 mo. Regressions of time to payoff and net income per day at 96 mo on cow production were -.0077 d/kg and .00028 $/kg, respectively. The regression of time to payoff on PD Dollars was -.0035 d/PDS, and the regression of net income per day on PD Dollars was .00072 S/PDS for cows that calved. Differences did not exist in time to payoff between levels of involuntary culling and selection against dystocia. Heifer rearing was most important in this study due to large differences in time to payoff and net income as age at first calving changed. Sire selection against dystocia in heifers was least important due to the mating program used, with intermediate differences in payoff and net income between levels of involuntary culling.
Ph. D.

The general aim of this thesis was to analyze the sustainability of dairy cattle farms in mountainous areas. The studies were conducted in the Eastern Italian Alps, a study area representative of the evolution of livestock systems in mountainous areas.
L'obiettivo generale è di questa tesi di dottorato è lo studio della sostenibilità delle aziende di bovini da latte in ambito montano. I lavori presentati sono stati condotti nelle Alpi italiane orientali, che rappresentano un modello dell’evoluzione dei sistemi di allevamento nelle aree montane.

Thesis (PhD(Agric) (Agricultural Economics))--University of Stellenbosch, 2011.
ENGLISH ABSTRACT: This dissertation is an analysis of dairy production in the Midlands district of KwaZulu-Natal. The analysis of agricultural production generally ignores undesirable outputs that are produced alongside desirable outputs. This research attempted to integrate a model of nitrate leaching from dairy production into a multiple input/output representation of the production technology, together with the analysis of technical efficiency. Estimation of both technical efficiency and environmental efficiency were done following the parametric econometric stochastic frontier (SFA) and the nonparametric mathematical programming data envelopment analysis (DEA) approaches. The study used unbalanced panel data from 37 individual highly specialized dairy farms for the period 2000 to 2007 and totals to 2130 observations. Production functions for the three outputs; milk, animals and farm produced feed, were fitted as a simultaneous system to model the farms’ production activities for the econometric SFA estimation of technical efficiency. A single equation reduced form was fitted as a frontier to allow for the estimation of the relative efficiencies of the individual farms. The results showed that with data this detailed it was possible to refine the model until it fits very tightly. Indeed, in the gross output model that includes cows, there was nothing left to call inefficiency and what was clearly a frontier becomes a mean response function. Technical efficiency was further calculated using the nonparametric DEA approach using the same dataset. The estimation of environmental efficiency was done using both SFA and DEA approaches. Undesirable emissions of nitrate were represented within the models by calculating nitrogen surplus (kg/ha) for each farm. This nitrogen surplus value was based on the intensity of the use of nitrogen containing inputs and the nitrogen content of marketable products specific information and from farm data which were used to calculate a farm nitrogen balance. The stochastic estimation of environmental efficiency used the same data that were used for the estimation of technical efficiency. However, for the DEA calculation of environmental efficiency, a balanced cross-section dataset for 34 farms participating in a pasture-utilization programme was used. This dataset was used because it had quantities of nitrogen fertilizer and other nitrogen containing inputs. Results indicate that there was minimal “over-usage” (over production) of milk thus reducing milk output alone will not lead to improved environmental efficiency. Farm size, herd size, and quantity of nitrogen fertilizer applied, present the best scope of reducing nitrogen surplus thus improving environmental efficiency of the dairy farms. Reducing imported feed by relying more on home grown feed can also help reduce nitrogen surplus. This is feasible because dairy farmers in the KwaZulu-Natal Midlands can produce most of the feed on farm. In summary, to obtain environmental efficiency milk production would have to be reduced by 80 litres per hectare; farm size by 73.69 ha; herd size by 33 cows, nitrogen fertilizer application by 74.3 kilograms per hectare; and imported feed by 13.4 kilograms of dry matter per hectare. The adjustments that would be required if environmentally inefficient farms were to adopt best practice technology and move towards their environmental production frontiers indicate that the production of pollutants (nitrogen surplus) could be reduced at negligible cost to milk production. The positive correlation between technical and environmental efficiencies indicates that improving environmental efficiency could be associated with improvements in technical efficiency. Thus, policies aimed at improving both efficiencies could have substantial rewards.
AFRIKAANSE OPSOMMING: In hierdie tesis word suiwelproduksie in die Middellande van KwaZulu-Natal van nader beskou. Met die ontleding van landbouproduksie, word ongewenste uitsette wat saam met gewenste uitsette geproduseer word, gewoonlik oor die hoof gesien. Hierdie navorsing poog om ’n model van nitraatvrylating uit suiwelproduksie in ’n veelvuldige inset/uitset verteenwoordiging van die produksietegnologie, te integreer by die analise van tegniese doeltreffendheid. In opvolging van die benaderings tot die parametriese ekonometriese stogastiese front (SFA) en die omvattingsanalise ten opsigte van die nie-parametriese matematiese programmeringsdata, is beramings van sowel tegniese as omgewings doeltreffendheid gedoen. In die studie is gebruik gemaak van paneeldata van 37 individuele hoogs gespesialiseerde melkplase vir die tydperk 2000 tot 2007, wat altesaam 2130 waarnemings beloop. Produksiewerksaamhede vir die drie uitsette; melkproduksie en diere- en plaasgeproduseerde voer, is as ’n gelyklopende stelsel ingepas om die plase se produksiewerksaamhede vir die ekonometriese SFA-beramings van tegniese doeltreffendheid weer te gee. ’n Enkele vorm om gelykmaking te verminder is daargestel as ’n front vir die beraming van die relatiewe doeltreffendhede van die individuele plase. Die resultate het bewys dat data van hierdie omvang dit moontlik maak om die model sodanig te verfyn dat dit net-net inpas. By die bruto uitset-model waarby koeie ingesluit is, was daar inderdaad niks wat op ondoeltreffendheid gedui het nie en wat eers ’n duidelike front was, het ’n betekenisvolle responsfunksie geword. Voorts is tegniese doeltreffendheid bereken deur aanwending van die nie-parametriese DEAbenadering, deur gebruik te maak van dieselfde datastel. Die beraming van omgewingsdoeltreffendheid is gedoen deur gebruikmaking van sowel SFA- as DEA-benaderings. Ongewenste nitraatvrylatings is in die modelle gevind deur die stikstofsurplus vir elke plaas te bereken (kg/ha) Die waarde van hierdie stikstofsurplus is gebaseer op die intensiteit van die gebruik van stikstofbevattende insette en bepaalde inligting oor die stikstof-inhoud van bemarkbare produkte, sowel as van plaas data, wat gebruik is om ’n stikstofbalans vir die plaas te bereken. Dieselfde data wat aangewend is vir die beraming van tegniese doeltreffendheid, is gebruik om die stogastiese beraming van omgewingsdoeltreffendheid te bepaal. Vir die DEA-berekening van omgewingsxii doeltreffendheid, is egter ’n gebalanseerde kruisseksie datastel gebruik vir 34 plase wat aan ’n weidingsbenuttings-program deelgeneem het. Die bepaalde datastel is gebruik omdat dit dosisse stikstofbemestingstof en ander stikstofbevattende insette bevat het. Resultate het op minimale “oorgebruik” (oorproduksie) van melk gedui en daarom sal die vermindering van slegs die melkuitset nie lei tot verbeterde omgewingsdoeltreffendheid nie. Plaasgrootte, kuddegrootte en die dosis stikstof wat toegedien is, verskaf die beste beeld van verminderde stikstofsurplus, wat dus tot verbeterde omgewingsdoeltreffendheid op melkplase lei. Die vermindering van ingevoerde voer deur meer op plaasgeproduseerde voer staat te maak, kan ook meewerk om stikstofsurplus te laat daal. Dit kan gedoen word omdat melkboere in die Middellande van KwaZulu-Natal die meeste van die voer op die plaas kan produseer. Ter samevatting kan gesê word dat om omgewingsdoeltreffendheid te bereik moet melkproduksie met 80 liter per hektaar verminder word, plaasgrootte met 73.69 ha, kuddegrootte met 33 koeie, stikstofbemestingtoediening met 74.3 kilogram per hektaar en ingevoerde voer met 13.4 kilogram droë materiaal per hektaar. Die aanpassings wat nodig sal wees indien omgewingsdoeltreffende plase beste praktyk-tegnologie sou aanvaar en sou aanbeweeg na hulle omgewingsproduksiefronte, dui daarop dat die produksie van besoedelende stowwe (stikstofsurplus) verminder kan word teen geringe koste aan melkproduksie. Die positiewe verband tussen tegniese en omgewingsdoeltreffendhede, dui daarop dat die verbetering van omgewingsdoeltreffendheid, in verband gebring kan word met verbeterings in tegniese doeltreffendheid. Beleid wat op verbetering van beide doeltreffendhede gemik is, kan daarom aanmerklike voordele inhou.

This dissertation investigates the dairy farming industry in the Northeastern United States and, in particular, the key drivers of economic viability and competitive advantage for small and midscale commercial dairy producers. The research approach employed was a literature review combined with primary case study observation and data collection. Historical perspective has been presented to provide an overarching contextual framework for this study. Four dairy farms were purposefully selected for case study research because they represented various aspects of a pre-defined set of variables and because they demonstrated relevant similarities as well as significant differences in terms of alternative business strategy. The classical business opportunity analytical process has been customized for practical use application by small and midscale dairy farmers. This tailored process has been validated using research findings; it offers a fresh way of identifying a strategic approach in pursuit of economic viability and competitive advantage that best fits an operation's unique set of characteristics. This process is intended for practical use application on a broader scale by dairy farmers in the Northeast to facilitate their understanding of challenging industry dynamics, of emergent market opportunity and inherent potency, and of both internal and external hurdles to be overcome. Finally, recommendations for next steps have been presented.

Using a comparative case study research design, the thesis examines the similarities and differences in farm wives' work on family owned and operated dairy and potato farms in New Brunswick, Canada. New Brunswick, Canada was selected as the research site because of the opportunity it provided to study two highly contrasting but comparable farm industries. Potato production is an intense and seasonal process, involving the planting, tending and harvesting of a field crop. Dairy farms are all-year operations involving animal husbandry and milk collection on a daily schedule. Potatoes are sold in 'open', uncertain markets; milk is sold in a 'closed' market protected and regulated in the provincial Milk Marketing Board. The differing labour demands, marketing arrangements and other conditions surrounding the production and sale of milk and potatoes made them ideal industries to study the effects of a farm's commodity on farm wives' work. The family, farm and work histories of fourteen farm wives on potato farms and sixteen farm wives on dairy farms were gathered, between November 1995 and September 1996, using an in-depth, open-ended interview format. What the farm sets out to produce effectively establishes its labour requirements, its work rhythms, as well as the marketing and pricing arrangements farm families will face. As a result, the farm's commodity provides the key for understanding the various ways farm wives' become 'incorporated' into their husband's work. Dairy farmers are not engaged in the same work as potato farmers even though both are called farmers and there are similarities in their work. It is not enough to study farm wives' work without ascertaining the particularities of being a dairy farmer's wife or a potato farmer's wife. At the same time both sectors must contend with agricultural restructuring, the cost-price squeeze and the economic uncertainties facing their rural communities. In examining the implications of this case study for future research on farm women's work, the thesis adds we must re-evaluate the spatial locations of work - household, on farm, off farm and community - and analytic dichotomies of work - productive and reproductive, paid and unpaid, direct and indirect - in order to better appreciate how farm wives contribute to family farming and how family farming contributes to farm wives' work.

I Poliidrossialcanoati (PHA) sono poliesteri completamente biodegradabili, prodotti da microrganismi come fonte di energia e di carbonio per la sintesi di nuovo materiale cellulare, utilizzando come substrato materie prime rinnovabili. Questi poliesteri sono considerati potenziali candidati per la sostituzione delle materie plastiche convenzionali. Tuttavia, i più alti costi di produzione dei PHA in confronto a quelli delle materie plastiche derivanti dal petrolio, rappresentano il principale ostacolo per la parziale sostituzione di questi ultimi con i biopolimeri. Gli alti costi sono principalmente dovuti all'utilizzo di colture microbiche pure (in cui sia presente un solo ceppo batterico) e substrati puri e costosi. Nell'ultimo decennio è stato sviluppato un processo di produzione a tre stadi alternativo e potenzialmente a minor costo, basato sull'utilizzo di colture microbiche miste (Mixed Microbials Culture, MMC) e una varietà di substrati organici a costo contenuto o nullo, quali alcuni rifiuti dell’industria agro-alimentare. Il presente studio si è concentrato sulla prima fase del processo di produzione dei PHA da colture miste, la fermentazione acidogenica, utilizzando siero di latte come fonte di carbonio per produrre acidi organici. In particolare questo lavoro ha avuto come obiettivo quello di studiare come diverse condizioni operative utilizzate nella fase di fermentazione acidogenica possono influenzare la concentrazione e il profilo degli acidi organici prodotti. Sono stati valutati anche gli effetti dei diversi profili degli acidi organici sulla fase di selezione della coltura microbica, in termini di capacità di stoccaggio di PHA e composizione polimerica.

The thesis presents an original investigation into the feasibility and operational efficiency of a novel prototype robotic rotary (RR) incorporated into a low-input, pasture-based Australian dairy farming system. A world’s first high throughput automatic milking system was installed, co-developed and tested at the Elizabeth Macarthur Agricultural Institute site (Camden, NSW, Australia). Being the first farm internationally to tackle voluntary distributed cow traffic (cf. batch milking) the challenges and learnings were specific to the system utilisation and the stage of technological development of the Camden installation. The thesis focuses on the challenges associated with application of the technology, of which learnings will have an immense level of importance for the first commercial installations on farm and further development of the system. These challenges were; (1) investigating a coping mechanism (with and without extra feed) to ensure and maintain high quality milk collection and storage for periods of underutilisation of the systems’ capacity (with voluntary cow traffic) in the absence of an automatic plant cleaning function, (2) understanding the impact of premilking teat preparation on the incidence of unsuccessful milkings, to ensure that farmers make an informed decision prior to commencement of the RR (as purchase of the teat preparation module will be optional), and (3) potential implications of management strategies for incompletely milked cows on dairy layouts. During periods of underutilisation the operator can deactivate a proportion of bails to better match the demand and availability of milk harvesting bails. Thus, investigations were conducted to understand the impact of bail activation sequence, availability of feed and cow queue size on voluntary cow traffic and robotic throughput efficiency. It was found that overall the availability of a feed reward as cows entered the RR had a larger effect on cow traffic than bail activation sequence, although the number of cows present (voluntarily) at the yard also played a role. Furthermore, having a greater number of consecutive bails activated resulted in more robot operations being conducted simultaneously resulting in an increased harvesting efficiency. Premilking teat preparation is also known to impact on milk harvesting efficiency, and as this component of the technology will be optional an investigation was conducted to assess the effects of not using a premilking teat preparation device on attachment accuracy and milk removal characteristics. The teat cup attachment was more successful and faster when cows were subjected to the teat cleaning treatment. Cows milked after being exposed to teat cleaning treatment, with a short milking interval (< 8 h), had a higher peak milk flow, however no difference was observed in the average milk flow rate of individual cows. Whilst there was an impact on attachment success by the use of the premilking treatment, the overall level of success was still lower than desirable. With this in mind a study of different management practices of incompletely milked cows was conducted. The system showed no difference in attachment success between milking incomplete cows after a one- or three-hour interval. This suggested that there is a level of flexibility available in designing the dairy layout and that no significant advantage or disadvantage (with regard to subsequent success level) exists in drafting incomplete cows directly back to the pre-milking yard compared to offering them an opportunity to spend time on a feedpad prior to the second attempt. The results presented in this thesis will be invaluable in furthering industry understanding of management practices with the new milk harvesting technology, the RR. The contribution of these scientific investigations will be extremely important to the success of the development of the system, which is progressing closer to commercialisation.

Die Wasserproduktivität in der Tierhaltung ist von vielen Faktoren abhängig. Die Futterproduktion hat den größten Anteil am Wasserbedarf von tierischen Produkten. Weitere Einflussfaktoren sind die Leistung, die Reproduktion und der Gesundheitsstatus der Tiere, das Management und die Haltungsbedingungen. In dieser Arbeit sollte untersucht werden, wie sich diese Faktoren auf die Wasserproduktivität von Milch und Geflügelfleisch in Nord-Ost-Deutschland auswirken. Zehn unterschiedliche Futtermittel wurden hinsichtlich ihres Wasserbedarfes untersucht. Aus diesen Futtermitteln wurden die Rationen für die Tiere erstellt. Die Milchleistung der Kühe wurde zwischen 4.000 und 12.000 kg Milch pro Kuh und Jahr in 2.000 kg Schritten variiert. Für jedes Leistungsniveau wurden zwölf verschiedene Fütterungsstrategien untersucht, welche auf der Erhöhung einzelner Bestandteile der Ration basieren. Der Wasserbedarf von Leitungswasser im Stall wurde mit 38 Wasserzählern ermittelt. Für die Wasserproduktivität des Geflügelfleisches wurden vier verschieden intensive Mastverfahren untersucht. Die Wasserproduktivität steigt mit steigender Milchleistung der Kühe. Das Maximum wird bei 10.000 kg Milch pro Kuh und Jahr und Rationen mit einem hohem Gras- bzw. Maissilageanteil erreicht. Die Kühe, die im automatischen Melksystem gemolken wurden, nahmen mehr Tränkwasser zu sich, als die Kühe im Fischgrätenmelkstand. Dies ist durch die höhere Milchleistung bedingt. Im automatischen Melksystem wurden im Mittel 28,6 Liter Reinigungswasser pro Kuh und Tag benötigt. Für die Reinigung des Fischgrätenmelkstandes wurden 33,8 Liter pro Kuh und Tag genutzt. Die untersuchten Broilermastverfahren zeigten keine Unterschiede hinsichtlich der Wasserproduktivität. Die intensivere Aufzucht und bessere Futterverwertung wurde durch eine niedrigere Wasserproduktivität des Futters kompensiert. Der Anteil des technischen Wassers macht in der Milchkuh- und Broilerhaltung nur einen kleinen Teil am Gesamtwasserbedarf aus.
Livestock production is the main user of water resources in agricultural production. Water is used in animal production for producing feed, watering the animals, and cleaning and disinfecting barns and equipment. The objective of this dissertation was to quantify the effects of management strategies, such as feeding, intensity of production and the replacement process on the water productivity of milk and poultry meat in Germany. Water productivity in milk and broiler production systems was calculated based on the methodology of Prochnow et al. (2012). Own measurements of the drinking and cleaning water demand in milk production were conducted in a dairy cow barn. The study was based on site conditions of North-East Germany with common variations in farm operations. The feed production is the main contributor to water input in dairy and poultry production. The water productivity of milk increased with an increasing milk yield. The most beneficial conditions related to water productivity in dairy farming were found to be with a milk yield of approximately 10,000 kg fat corrected milk and a grass silage and maize silage based feeding. The total technical water use in the barn makes only a minor contribution to water use. Former regression functions of the drinking water intake of the cows were reviewed and a new regression function based on the ambient temperature and the milk yield was developed. In broiler production the intensification of the fattening systems did not increase water productivity. An increase of water productivity in animal production can be achieved with various management strategies with their specific influence on the production process. The feed management should be a focus of the strategies.

Among bacteria Staphylococcus aureus plays a very relevant role both in humans and animals infections. It is present primary on the skin and through direct contact it can be transmitted to new hosts and can also be spread wherever in the environment. As a consequence, S. aureus reservoir are living carriers and contaminated inanimate objects too (e.g. needle sharing among drug users, used disposable materials in health care facilities, foreign bodies in skin wounds and even dust in contaminated environments). S. aureus causes a variety of infections generating abscesses in many body districts, in general it is the most frequent responsible for skin and soft tissue infections (SSTIs). Pneumonia, fasciitis, cellulitis, empiema of natural cavities (e.g. gallbladder), osteomyelitis, arthritis, implanted-device associated infections are only some of the most common diseases caused by S. aureus. Extremely severe and life-threatening are endocarditis and blood stream infections up to septicemia. S. aureus can be acquired everywhere but is a typical heath care-associated infection. Analogies can be found with S. aureus infections regarding animals, especially companion animals whose hospitalization is becoming more and more similar to that reserved to humans. It is present in a wide range of animal species, including dogs, cats, rabbits, horses, cattle, pigs, poultry, and exotic species, both as a cause of infection and in healthy carriers. Identification of MRSA in various species and in food has led to concerns about the roles of animals, both pets and livestock, in the epidemiology of MRSA infection and colonization in humans. A special issue regards dairy production animals, in particular cows, for which S. aureus is the most important udder pathogen. The present work means to investigate the presence, importance and origin of S. aureus affecting dairy cows belonging to strains defined methicillin-resistant (MRSA). Since pigs has been found the first food-producing animal species carrying MRSA and recognized as a reservoir, the likely relationships with dairy herds present on the same area will be discussed.

Time budgets, avoidance distance scores-related behaviour and milk yield of pasture-based Jersey, Friesland and crossbred cows. by Madodana Sunson Dodzi The study was conducted at the University of Fort Hare farm to determine the time budgets, the avoidance-related behaviour variables and their relationship with milk yield in three pasturebased dairy genotypes: Jersey, Friesland and crossbreed. Twenty one clinically health dairy cows aged between 52 and 55 months, in mid lactation and comprising of seven cows from each genotype were used in the study. The time spent on different activities (grazing, lying down, standing and others) at pasture was recorded using stop watches across four seasons. The behavioural responses of the three genotypes to humans were determined by recording their avoidance distance scores (AD), exit speed (ES), pen scores (PS), pen behaviour scores (PBS), plat form scores (PLS) and the occurrence of kicking (KCK) and stepping (SPG) during milking on four consecutive days in four seasons. Time spent standing was higher (P < 0.05) for Friesland compared to Jersey and crossbred during the hot-wet season. In the cool-dry season the Jersey spent more time (P < 0.05) grazing than the other breeds. The Friesland and crossbred on the other hand devoted most of their time lying down compared to Jersey in the cool- dry season (P < 0.05). There were season differences in time spent on all activities (P < 0.05). Time spent on grazing was longest in post-rainy seasonal and lowest in hot- wet season (P < 0.05). The longest lying down period was observed in the hot-dry season and lowest in hot-wet season (P < 0.05). iii Daily milk yield Varied (P < 0.05) with genotype with the Friesland and Jersey producing higher yield than the crossbred. The highest amount was produced in hot-dry and the least in hot-wet season. Milk yield was positively correlated (P < 0.05) with lying down. Standing was negatively correlated with milk yield (P < 0.05). The Friesland had the highest avoidance distance scores (P < 0.05) and the Jersey had the lowest avoidance distance scores in all seasons. There was an association (P < 0.05) between genotype and exit speed scores, pen scores and stepping behaviour scores. The Friesland exhibited the highest exit speed scores than the other breeds. The Jersey had the lowest (P < 0.05) kicking behaviour scores. There was a relationship (r = 0.64) between avoidance distance scores and exit speed. Exit speed scores were correlated with pen score(r= 0.23). Milk yield was significant related (r= 0.17) to the occurrence of kicking behaviour. The genotypes showed different levels of sensitivity to season and milk yield was influenced by breed and season. It can be concluded that time budgets vary with season and farmers need to adopt measures that buffer the effect of season on welfare of dairy cows. It can also be concluded that avoidance distance scores differs according to genotype with Jersey being more confident to humans than other two breeds. It is therefore recommended that provision of shades or cooling mechanism should be adopted to buffer the effects of hot-wet season. Improving quality of feed during the cool-dry season may be critical for Jersey cows. Finally positive handling of the dairy cows is recommended in order to improve the welfare and milk yield of pasture based dairy cows.

This study investigated the hypothesis that the particulate content of milk, as monitored with particle counters, is correlated to the health status of lactating dairy cows, in particular the condition mastitis. Twenty Holstein cows were monitored from the very first day of clinical mastitis outbreak until complete recovery from the disease. During the experiment, the changes in particle behaviour in all four quarters and mixture of milk from all of them were measured. For each sample the following parameters were measured: somatic cell count, fat content, lactose and protein concentration, number and size distribution of milk particles, electric conductivity and diameter of milk fat globules. In total over thirty mastitis outbreaks were observed and monitored throughout, including the first phase of this study when over three thousand samples of foremilk were collected and examined. An operational protocol and particle monitoring device were designed with the help of a commercial company Facility Monitoring Systems Ltd (FMS), Malvern. A particle counter and Peak Height Analyser (PHA) were used to monitor particulate content of milk and a compound phase contrast microscope was used to identify milk particles by photographic visualisation and to establish their diameter. It was observed that the number of particles, milk fat globule diameter and somatic cell counts were stable during periods without udder inflammation. Mastitis caused great changes in these parameters. Both milk particulate size and number were significantly affected by clinical and subclinical form of inflammation (change to the particulate behaviour). It was observed that the changes to the volume median diameter (VMD) of fat globules became evident a few days before clinical signs were present. Results obtained from a particle counter and the PHA were in agreement with data obtained by microscopy. Major changes were recorded in the number of total particles in milk before and during the outbreak of mastitis. Further research showed that changes took place in the pattern of particulate behaviour without visible signs of disease; additional data established that subclinical mastitis can be also identified through the monitoring of particles in milk. In summary monitoring of the behaviour (changes to size and number) of milk fag globules (MFG) can be used as an early indicator of the onset of mastitis. In addition data collected during study produced strong evidence supporting the theory of the interdependence of the quarters within the udder. It was found that the coefficient of correlation for size and number of particles for all four quarters within the udder was statistically significant. Particle counts and the VMD values behaviour were similar for the four quarters. This relationship was observed for all monitored animals. Moreover, the same relationship was also observed during both clinical and subclinical outbreaks of mastitis. Somatic cell count was affected only in an infected quarter while particulate content of milk ―responded‖ to disease in all four quarters within the udder (even if only one was infected). These results were the most surprising and unexpected outcome, suggesting that four quarters within the udder work together as one organ not four separate units. It was observed that the mean MFG cannot be used as a baseline to test individual animal deviations due to the unique particle profile of each observed animal. In all monitored animals particle counts obtained from PHA was found to be in the range of 1011 to 1013 with an average of 1012 particles per ml. The number of particles recorded in mastitis for one animal was at the healthy level for another. The particle pattern became a finger print for each animal and therefore MFG behaviour cannot be compared between animals. Following the first phase of the study the monitoring period was set at 15 to 20 days. This protocol allowed for minimising the influence of any other parameters on particles, which may influence the outcome of an experiment e.g. the number of particles in single samples detected by the particle counter. It was also essential to understand how the age, nutrition and stage of lactation might influence the particles and affect the results. Therefore two animals were chosen to be examined during their lactation. The analysed data did not present enough evidence to establish the relationship between nutrition and milk fat globules size and number. However to better understand this association additional studies should be carried out. Further work is required to optimise the monitoring device and build a fully automated system which will allow collecting and analysing data from the whole herd. This study proposed that particle pattern is unique for each animal – like a finger print. More research is needed to better understand the mechanism behind milk fat globules synthesis during inflammation. The results obtained during this study provide new evidence with regard to physiological changes within the udder before and during mastitis outbreak and supported the theory of interdependence between quarters within udder. The particle count in milk can be used as an indicator of the health status of the single animal. Combined the PHA and microscope can be used as a new tool to determine and monitor the particle count in milk. The understanding of the particulate behaviour will help to minimise the chance of mastitis outbreak by early detection and also to reduce the chance of the cross-contamination between animals during the milking process. Milk fat globule size and number can be used as an efficient indicator of the onset of mastitis.