Academic literature on the topic 'Smallholder dairy production'

Smallholder dairy production in Kenya is one of the developing world’s success stories. Kenya's improved dairy cattle herd of more than 3 million is the largest in Africa, and significantly is held mostly by smallholders. As a result, dairy production is a major part of the agricultural sector and an important source of livelihoods for at least an estimated 600,000 smallholder farm families in Kenya (Omore et al., 1999). Compared to its neighbours, the country has a welldeveloped dairy production and processing industry, and the country has broadly managed to be self-reliant in dairy products, so that except during extreme dry years, imports are negligible.

The livestock sector, as a part of the traditional food system in Georgia, occupies a considerable portion of the national economy. Though smallholder farmers are the key suppliers at the primary stage in the food value chain, the empowerment of smallholder farmers in the dairy production system in Georgia is a questionable matter. This research study reports the results of changes in the dairy sector in Georgia (Caucasus) after becoming independent from the Soviet Union (literature survey) and how these changes are seen by experts in the dairy value chain. In addition, this study aimed to look in-depth at the dynamics of the value chain of dairy in Georgia and examine the current dairy production policies. Qualitative research was applied as the methodology for expert interviews in 2019. The findings showed the difficulties experienced by the local and national dairy market sectors in Georgia nowadays. Where these difficulties were analyzed by the parameters of the value chain, it states the impact of the current regulations and policies on the safety and the quality of dairy production in the country and the depth of social, economic, and ethical impacts on the marketing of dairy products for smallholders. Furthermore, the Sustainable Development Goals on the dairy value chain are described.

This paper examined dairy husbandry training impact on milk production and milk income under smallholder farmers’ management condition. A cross-sectional survey was conducted in two districts in Ethiopia and the data was collected from a total of 180 smallholder dairy farmers (60 of the participants were trained on dairy husbandry practices). Propensity Score Matching (PSM) technique was employed to construct suitable comparable group and to calculate the average treatment effect on the treated sample. The average treatment effect on the treated shows that dairy husbandry training increased milk production, volume of milk processed and milk income by about 21.7%, 56.5% and 22.5% respectively. This study confirms that training on dairy husbandry plays great role to bring change in dairy technology adoption which further enhance milk production and milk income under smallholder farmers’ management condition. Keywords: milk income; milk production; Ethiopia; propensity score matching; smallholder dairy farmers, training

Smallholder commercialization is central to international development policy and practice. As a result, several arrangements to foster market linkages are being implemented. Especially popular are farmers’ organizations, which are believed to be owned, controlled, and financed by smallholders. As such, their design is considered inclusive given every household in a community is theoretically allowed to become a member, and the governance and management structure encourage participatory decision-making. However, even in the context in which farmers’ organizations are actively promoted, a notable proportion of smallholders may not be able to engage in market-oriented production or may opt for the existing alternative marketing arrangements, as dictated by individual households’ socioeconomic characteristics. Focusing on the case of smallholder farming in Olenguruone, Nakuru county, Kenya, where a donor funded dairy farmers’ cooperative marketing arrangement is promoted alongside existing marketing opportunities, the present research investigated the factors that determine smallholders’ commercial farming orientation and marketing arrangements. It employed a case study approach, combining both quantitative and qualitative research methods for a more complete empirical inquiry. The findings demonstrate that irrespective of the external support provided through marketing opportunities such as farmer organizations, smallholders’ engagement in commercial farming and marketing is dictated by the socioeconomic attributes and market perceptions that are heterogeneous among households in a smallholder community.

Smallholder dairy production dominates the country of Uganda, with over 90% of the national herd owned by smallholders. To reduce hunger, malnutrition, and raise families out of poverty agricultural development, interventions in Uganda have focused on increasing milk production through the introduction of improved dairy cow breeds. Development actors, such as the East Africa Dairy Development (EADD) program in Uganda, see crossbreed dairy cows as a key technological intervention for improving production. Drawing on a multi-method study (spatial analysis, surveys, and qualitative interviews) of dairy smallholders, our paper examines the gendered effects of the introduction of crossbreed dairy cows. To ensure peak performance, improved breeds require more inputs (e.g., water, feed, and medicine), which are labor and time intensive with specific gendered outcomes. Our findings reveal that both men and women identify fetching water as one of the greatest challenges in maintaining dairy cows, but women and children disproportionately fetch the water and women have higher reported rates of time poverty. Water quality is also an issue, with smallholders struggling to provide clean water to cows, and our basic water testing reveals water sources with high nitrate levels that can be harmful for children and dairy cows.

Peri-urban dairy producers in West Africa face major production constraints including inadequate and poor quality feeds. In view of the high cost of traditional supplementary feeds such as oilseed cakes, the production of forage, especially legumes, is increasingly being advocated. However, it has not been established whether returns in terms of increased livestock productivity from sown forages will be adequate to encourage smallholder livestock owners to undertake forage production for indigenous livestock.In three trials involving indigenous Bunaji cows biological and economic responses in terms of milk yields to farmer-planted forage legumes and tree legumes from home gardens were evaluated. Synthesis of the resulting data on labour inputs, forage yields, feed intakes, milk yields, value of outputs and cost of inputs such as seeds and fertilizers showed that for the semi-intensive smallholder and zero-grazed models considered in this study, the margin or profit from using home-grown fodder was 5–8 times the cost of acquiring the feed. The opportunity cost of using the land for forage production rather than for cultivating sorghum, a highly favoured cereal crop, was only 67% of the accrued benefits from milk yields produced by cows supplemented with the forage hays. Thus, there is a real potential for profitable dairy production in peri-urban areas using home-grown fodder.

The study investigates the role of co-operatives in smallholder dairy production and marketing in Swaziland. The study was undertaken to determine the effectiveness of cooperatives in improving production and marketing as well as in minimisation of transaction costs. Expectations were that co-operative members perform better than independent farmers in terms of production and productivity, have larger herd sizes, generate a higher income, and also incur lower transaction costs indicated by a higher quantity of milk sold. Results of the survey indicate that co-operatives play a positive role in production and marketing activities of smallholder dairy farmers, although certain developments such as provision of support programmes need to take place in order for them to make a more significant contribution. Co-operative members produce and sell higher quantities of milk (19.3% higher and 24.5% higher respectively), which is mainly attributed to provision of technical inputs. Co-operatives also provide farmers with a reliable market, although price paid is lower (35% lower) compared to that of independent farmers in the same areas. Low income is compensated by the fact that co-operative members incur lower transaction costs indicated by the lower transportation costs per unit of output, adequate access to market information through frequent visits of extension officers and regular training, as well as a lower percentage of losses incurred compared to independent farmers. Results of the study confirm the hypothesis that co-operative members perform better and incur lower transaction costs than independent farmers. Results of the regression model indicate that distance, access to market information, milk output and co-operative participation significantly influence the quantity of marketable milk, and hence contribute to lower transaction costs incurred. The results show that co-operative farmers incur lower transaction costs although they sell their milk at a lower price. Nevertheless, the fixed price effect renders co-operative farmers not susceptible to price fluctuation risks that independent farmers are faced with because of their volatile prices. The study suggests that there is a need for support programmes that will help motivate individual farmers and strengthen co-operatives, as their contribution to smallholder production and marketing is still marginal. Support programmes include provision of a supportive policy environment, infrastructure development, access to financial and credit facilities and improvement of training and extension to provide more extensive dynamic opportunities to farmers. In terms of further research, the study recommends that a similar study be undertaken in other areas of Swaziland so that the study is representative of the whole country. In addition, further research is needed on performance of dairy cooperatives to enable replication of successful co-operatives in the country which will go a long way in improvement of the dairy industry as a whole.
Dissertation (MSc(Agric))--University of Pretoria, 2011.
Agricultural Economics, Extension and Rural Development
unrestricted

A study to examine factors that influence dairy cattle fertility was conducted in the United Kingdom (UK) and Malawi. Productivity data from the UK comprising 56,014 records from 574 Holstein cows were retrieved from a database at Scotland’s Rural College Dairy Research Centre in Dumfries. The cows were of either high (select) or average (control) genetic merit and fed total mixed rations with high or low forage. These formed four production systems - high forage select (HFS), low forage select (LFS), high forage control (HFC) and low forage control (LFC). Data from Malawi were obtained through a baseline survey in 67 smallholder farms and monitoring of 28 and 62 dairy cows from smallholder farms and a commercial farm, respectively. The breeds were Holstein-Friesians and Holstein-Friesian x Malawi Zebu crosses predominantly fed forages supplemented with concentrates. Some cows were fitted with accelerometers to enable monitoring of cow activity which was then related to cow fertility and energy balance. The data were analysed using descriptive statistics, mixed models and logistic regression models using SAS 9.3. The UK data showed that production system significantly (p<0.05) influenced milk yield, body energy content (BEC) and fertility. BEC is a trait that indicates absolute level of energy in the body per day regardless of energy use and intake the previous day. Daily milk yield of LFS cows was 35±0.1 (mean±SEM) litres which was significantly (p<0.05) higher than that of LFC (30.4±0.1 litres), HFS (27.5±0.1 litres) and HFC (24.3±0.1 litres) cows. LFS cows also had the highest milk yield acceleration to peak milk yield (0.51 litres/day/day) than (LFC 0.47±0.02 litres/day/day), HFC (0.47±0.03 litres/day/day) and HFS (0.46±0.03 litres/day/day) cows. The interval from calving to nadir BEC was 68±5, 83±6, 88±5 and 106±6 days for LFC, LFS, HFC and HFS cows, respectively. Days to first high luteal activity (DFHLA) and days to successful service (DSS) were significantly different with production system and genetic merit, respectively. LFC cows had DFHLA of 27±2 days (mean±SEM) which were significantly lower (p<0.05) than those of HFC (30±3 days), HFS (30±2 days) and LFS (35±3 days) cows. Average genetic merit cows had significantly lower (p<0.05) DSS (119±5 days, mean±SEM) than high genetic merit cows (132±5 days). Results from data collected in Malawi showed variations that reflected differences in management and other environmental factors. Average daily milk yield per lactation in Malawi was 13.3±4.9 (mean±SD) litres. Fertility traits in the UK herd were better than those in Malawi herds. The average DFHLA in Malawi was 79±29 days while in the UK it was 31±18 days. Cow activity in both the UK and Malawi farms varied with the feeding system, genetic merit and BEC. Select cows on home grown feeding system were more active (motion index =6250±40), stood longer (13.4±0.04 hours/day) and spent more time eating (5.6±0.32 hours/day, mean±SEM) than select cows on by products feeding system that had motion index, standing and eating time of 5166±37, 11.9±0.04 hours/day and 4.6±0.16 hours/day, respectively. Genetic merit, lactation number, days to first observed oestrus, calving BEC, service BEC and service milk yield were significant predictors of pregnancy to first insemination (p<0.05) while genetic merit, milk yield, percentage BEC between calving and service, service milk yield and service BEC were significant predictors (p<0.05) of pregnancy to the first three inseminations. Validation of models derived showed C-statistics of the receiver operating characteristic (ROC) curve of 0.66 (95% confidence interval (CI): 0.57 to 0.75) and 0.65 (CI: 0.55-0.75), respectively. It is concluded that genetic merit, feeding system, parity, energy status and stage of lactation are the major factors that determine the likelihood of achieving pregnancy following insemination. Models developed have a potential to predict the probability of pregnancy to an insemination at an acceptable level of accuracy.

En Indonésie, la croissance économique rapide et la sensibilisation à la consommation d'aliments nutritifs sont des facteurs importants qui stimulent la consommation d'aliments d'origine animale, y compris laitiers.Le PIB de l'élevage a ainsi augmenté de plus de 56% entre 2011 et 2015. Même si elle reste relativement faible par rapport aux autres pays d'Asie du Sud-Est, la demande de produits laitiers n’est pas couverte par la production nationale. Celle-ci ne représentait qu'environ 835 000 tonnes en 2015, produites principalement par des petites exploitations familiales.Les petites exploitations représentent la grande majorité des fermes laitières en Indonésie. Avec seulement 4 vaches et moins de 1 ha de terres cultivées par ménage en moyenne, les activités laitières jouent un rôle important dans la sécurisation des moyens de subsistance de ces petites exploitations. Cependant, ces fermes font face à plusieurs contraintes qui empêchent leur durabilité. Dans ce contexte, nous souhaitions rechercher «dans quelle mesure les petites exploitations laitières peuvent-elles être plus durables ?».Notre approche visait à évaluer la durabilité des petites exploitations et à apprécier la dynamique et les changements dans les systèmes de production laitière dans la province de Java Ouest. La première phase (2014) consistait à identifier le rôle d'un projet de développement laitier local et les besoins des fermes laitières. Nous avons recueilli des données auprès de 61 fermes à travers une enquête formelle et auprès de la coopérative laitière. La deuxième phase (2015-2016) consistait à évaluer la durabilité des petites exploitations familiales. Après une revue de bibliographie, nous avons mené des entretiens avec des experts et des acteurs locaux (chercheurs, experts, gouvernement, coopérative, ONG, agriculteurs) afin de proposer six indicateurs de durabilité. Nous avons ensuite mené une enquête formelle auprès de 355 agriculteurs, ce qui nous a permis de quantifier ces indicateurs. La troisième phase (2016-2017) consistait à comprendre la dynamique des systèmes de production laitière. Sur la base des résultats de l'enquête formelle de 355 agriculteurs, nous avons construit une typologie agricole et caractérisé chaque type de fermes. Nous avons ensuite sélectionné 20 fermes qui représentaient chaque type de ferme pour des entretiens approfondis afin de comprendre leurs trajectoires.Nous voulons souligner 3 résultats principaux. Nous montrons l'importance de fournir des formations et un soutien technique pour le développement des moyens de subsistance des agriculteurs. Nous notons que le niveau de capital et la diversification des activités à la ferme jouent un rôle important dans la durabilité des exploitations agricoles. Enfin, si les systèmes mixtes agriculture-élevage restent stables en termes de production laitière, les exploitations spécialisées disposant d'une dotation en capital plus importante ont rapidement augmenté leur taille de troupeau.En conclusion, les agriculteurs ayant une activité diversifiée affichent de meilleures performances en matière de durabilité, mais leur contribution à la production nationale augmente plus lentement. Les fermes spécialisées pourraient jouer un rôle clé pour soutenir la production nationale en raison de l'augmentation rapide du cheptel laitier. Néanmoins, dans une politique de développement laitier il ne serait pas pertinent de se concentrer uniquement sur ces exploitations spécialisées. En raison de leur nombre élevé, les petites exploitations jouent un rôle important dans la réduction de la pauvreté, la création d'emploi, l'alimentation et la fourniture d'un marché national. À l'avenir, les politiques laitières devraient mettre davantage l'accent sur les formations et les programmes de crédit des petits exploitants et fournir des stratégies pertinentes tenant compte du type de ferme, du modèle de durabilité, des trajectoires agricoles afin d'assurer un développement durable
In Indonesia, rapid economic growth and awareness to consume nutritious food boost animal source foods, consumption, including dairy. As consequence, GDP from livestock sub-sector shows an enhancement to more than 56 percent during five years (2011-2015). Even though, it remains relatively low compared to other South East Asian countries, the demand of dairy products could not be covered by national production. The national production accounted for only around 835.000 tons in 2015 which is produced mostly by smallholder farms.Smallholder farms represent the vast majority of dairy cattle farms in Indonesia. With only 4 cows and less than 1 ha of cultivated land per household on average, dairy activities play an important role in securing the livelihoods of those smallholder farms. However, those farms face several constraints that preclude their sustainability. In that context, we wanted to research “in what condition smallholder dairy farms are more sustainable”.Our approach aimed at evaluating the sustainability of smallholder farms and assessing the dynamics and changes in milk production systems, in West Java Province. The first phase of our study (2014) was to identify the role of a local dairy development project and the needs of the dairy farms. We collected data from 61 farms through formal survey and from milk cooperative The second phase (2015-2016) was to evaluate the sustainability of smallholder dairy farms. After an extensive literature review, we carried out in-depth interviews with experts and local stakeholders (researchers, lecturers, government, cooperative, NGO, farmers) in order to propose six main indicators of sustainability scoring from 0 to 100. We then conducted a formal survey of 355 farmers that allowed us to quantify those indicators. The third phase (2016-2017) was to understand the dynamics of dairy farming systems. Based on the results of the formal survey of 355 farmers, we built a farm typology and characterized each type of farm. We then selected 20 farms which represented each type of farm for in-depth interviews to understand their farm trajectories.From our study, we want to underline 3 main results. First, we show the importance of providing trainings and technical support for the development of farmers’ livelihoods. Second, we note that the level of capital and the diversification of the activities on farm both play important roles in the sustainability of the farms. Third, if mixed crop-livestock systems remain stable in terms of milk production, specialized farms with higher capital endowment increased their herd size rapidly.To conclude, farmers with diversified activity show better sustainability performances than specialized ones, but their contribution to national production increases more slowly. Specialized farm might play a key role to support national production due to rapid increase of the dairy herd. Nevertheless, in a dairy development policy to supply national market, to focus only on those specialized farms could not be relevant. Due to the high number, small-scale farms are important to reducing poverty, to opening job opportunity, to ensuring nutrition and to providing national market. In the future, dairy policies should give more emphasis to smallholders’ trainings and credit programs and to provide relevant strategies considering the farm type, the sustainability pattern, the farm trajectories in order to have sustainable development

Cette thèse déchiffre les défis rencontrés par les petits producteurs dans l'approvisionnement alimentaire urbain dans les Andes du Nord en Équateur, avec une étude de la structure et du fonctionnement du système d'approvisionnement urbain en produits laitiers à l'échelle nationale. Les stratégies de production et de commercialisation des petits producteurs sont observées au niveau local à travers deux exemples: Machachi et Nono. Le système d'approvisionnement est analysé comme un réseau spatial où les zones de production, les points de vente et de consommation sont interconnectés, ceci générant des dynamiques dialectiques de transformation mutuelle il travers les interactions des différents acteurs. Historiquement, le système s'est structuré en fonction des besoins et des caractéristiques des producteurs de moyenne et grande taille. Cependant, au cours des dernières décennies, les petits producteurs sont devenus des acteurs essentiels grâce à des stratégies entre les villes et la campagne. L'incorporation des petits producteurs dans cette dynamique montre leur grande capacité d'adaptation face aux opportunités générées par un marché en pleine croissance. Malgré tout, leur interaction avec les autres acteurs dénote une inégalité dans les relations de pouvoir qui reste encore peu modifiée. D'autres modalités d'intégration des petits producteurs restent à construire
This thesis focuses on the small producers challenges in the food supply to cities in the Northern Andes in Ecuador. It analyses the structure and functioning of the complex of dairy product supply to cities at national level. Production and commercialisation strategies adopted by small producers' are studied at local level with two examples: Machachi and Nono. The supply complex is analysed as a spatial network where the areas of production and points of sale and consumption arc interconnected generating dialectical dynamics of mutual transformation through the interaction of all the different stakeholders. Historically the complex has been structured according to the needs and characteristics of the medium and large-sized producers. In the last decades though, small producers have been using different strategies between the countryside and cities und have become key stakeholders. The incorporation of small producers in this dynamic shows their great ability to adapt to opportunities created by a growing market. However, their interactions with the other stakeholders show inequality in the power relations, which has only marginally been addressed. Different modes of integration for small producers are yet to be created
Esta tesis se interesa por los desafíos de los pequeños productores en el abastecimiento alimentario urbano a través del caso de los Andes norte en Ecuador. Se estudia la estructura y el funcionamiento del complejo de aprovisionamiento urbano de productos lácteos en una escala nacional. Las estrategias productivas y de comercialización de los pequeños productores son observados en una escala local a través de dos ejemplos: Machachi y Nono. El complejo de abastecimiento es analizado como una red espacial, donde las áreas de producción, los puntos de comercialización y de consumo están interelacionados generando dinámicas dialécticas de transformación mutua a través de las interacciones de los diversos actores.Históricamente el complejo ha sido estructurado acorde a las necesidades y características de los productores medianos y grandes. En las últimas décadas, los pequeños productores empleando diversas estrategias productivas y comerciales entre campos y ciudades se han convertido en actores fundamentales.La inclusión de los pequeños productores en esta dinámica muestra su gran capacidad de adaptación frente a las oportunidades generadas por un mercado en crecimiento. A pesar de esto, sus interacciones con a otros actores muestran las inequidades en las relaciones de poder que no han podido ser sino débilmente modificadas. Diferentes modalidades de integración de los pequeños productores lácteos quedan por construirse

Text in English, Tswana
Low nutrient intake affects metabolism and growth in pregnant heifers and limits milk production in lactating cows on communal area smallholder dairy farms of the subtropics. Two studies were conducted during the current research. The first study evaluated effects of nutrient supply in standardized dairy diets on the growth and body reserves of pregnant Jersey heifers raised on communal area smallholder farms in a semi-arid zone of South Africa. Twenty-two farms with a total of 42 heifers, aged 22 to 28 months which were seven months pregnant at the beginning of the study were selected for the study. These represented the total number of farms with dairy cows in the area that were supported through a structured Dairy Development Program (DDP) of South Africa. Each farm had at least two pregnant Jersey heifers during the summer season of 2016. Each heifer was supplied 2.5 kg of a far-off (60-30 d prepartum) dry cow concentrate and increased to 3.3 kg of the same concentrate at close-up period (29-0 d prepartum). Feeding of concentrate was based on a standardized feeding program as recommended by DDP. During this study, no feeding treatment was imposed on the heifers. Eragrostis curvula hay was supplied by DDP. Daily intake of 7.2 and 5.4 kg; respectively for heifers at 60-30 d prepartum and 29-0 d prepartum was determined based on residual hay. Heifer diet (HD1) and heifer diet HD2 were therefore simulated respectively for cows at 60-30 d preparpartum and 29-0 d prepartum, respectively. Diets were assessed for nutrient composition using chemical analyses and in vitro ruminal degradation. Post ruminal nutrient absorption and animal responses were predicted using the Large Ruminant Nutrition System (LRNS) version 1.0.33 (level 1). Actual measurements of body weight (BW), body condition score (BCS) were done and blood was collected and analysed for proteins monthly. Heifers’ responses were validated against the model predicted values and comparative analysis of animal performance during pregnancy was done against the National Research Council (NRC, 2001) reference values. Relative to the minimum requirement for ruminants, both HD1 and HD2 diets had relative feed value (RFV) below 144. About 35% of HD1 dietary crude protein (CP) was within the slowly degrade neutral detergent fibre (NDF) fraction which is the neutral detergent fibre insoluble crude protein (NDFICP) while 32% was not available as the acid detergent insoluble crude protein (ADICP). Equally, HD2 diet had effectively 5.2% of CP as available protein and the fraction of the slowly degraded NDF constituted only 52.3% of the effective available protein. Energy density of HD1 and HD2 were 25% and 16% higher than expected at far-off and close-up period, respectively. The intake of metabolzable protein (MP) were 32 and 25% higher than predicted for the far-off and close-up period, respectively. Supply of MP was 37 % and was higher than NRC predictions of daily requirement in Jersey cow. This allowed BW gain of 29 kg and BCS of 0.33 which was within 25th percentile for pregnant heifers. Mean concentration of blood urea at both far-off and close-up periods deviated by 25% from NRC values. Creatinine (CR) concentration was 145 μmol /L at far-off and 155 μmol /L at close-up period. The second study assessed the adequacy of two lactation diets fed to 42 primiparous Jersey cows, aged 24 to 30 months during early (1-30 d postpartum) and peak (31-60 d postpartum) periods on the lactation performance of the cows. Cows received 4.5 and 5 kg of dairy concentrate at 1-30 d postpartum and peak milk (31-60 d postpartum) respectively. Eragrostis curvula hay was supplied ad libitum and dry matter intake (DMI) was estimated at 7.2 kg of hay/cow/day from residual hay. No feeding treatment was imposed except for the standardised diets typical to the production environment. Two simulated lactation diets (LD1 and LD2) were prepared based on dry matter intake (DMI) of grass hay and lactation concentrate. Diets were assessed for nutrient composition using wet chemistry and in vitro ruminal degradation. Nutrient supply of diets and absorption from the small intestines as well as cows’ responses were predicted using the Large Ruminant Nutrition System (LRNS) version 1.0.33 (level 1). Body weight and BCS were monitored, blood was collected and analysed for proteins monthly. A record of milk yield was taken daily, and milk was analysed for fat, protein, lactose and urea nitrogen weekly. Cows had DMI of 11.2 kg which was 12% higher than the expected at 1-30 d postpartum period and 11.6 kg which was 21% higher than the expected in 31-60 d postpartum cows. Diets had low available protein as % of dietary protein (LD1=46%; LD2=45%) and the slowly degraded NDF fraction (NDFICP) constituted 64% of the available protein. Intake of energy was 20% and 17% lower than the predicted value for the cows, respectively, at 1-30 d postpartum and 31-60 d postpartum period. Cows had negative energy balance of -6.5 and -5.6 Mcal respectively at 1-30 d postpartum and 31-60 d postpartum cows. Protein intake of lactating cows was low, which resulted in negative protein balance of 59% and 42% of cow’s daily requirement, respectively, at 1-30 d postpartum period and 31-60 d postpartum period. There was loss of BW and BCS, low milk yield, energy corrected milk (ECM: 9.50 kg/d) and feed efficiency (FE) of less than 1 (LD1= 0.85; LD2 =0.89) in cows at both periods. Composition of fat, protein and lactose in milk were negatively affected by the low level of dietary protein. Somatic cell count (SCC) in milk was 121 ± 13 x 103/ml and cows did not show signs of illness. Mean milk urea nitrogen (MUN) concentration was 12 ± 2.7 mg/dl reflecting the low protein status of the lactating cows. Cows had high creatinine concentration of 116 and 102 μmol /L at 1-30 d postpartum and 31-61 d postpartum period, respectively, which may indicate muscle breakdown due to heat stress relative to the hot production environment. Results showed that diets fed to dairy cows on communal area smallholder farms in Sekhukhune and Vhembe districts in Limpopo province had low feeding value and their low nutrient supply affected rumen fermentation, heifers’ ‘growth, body reserves and early lactation in Jersey dairy cows. In conclusion, diets supplied to dairy cows raised on smallholder farms are low in nutrients and do not support efficient growth in heifers and optimal milk production in early lactation. Development of a nutrition plan for improved dairy diets is required to maximise production and longevity in cows and enhance sustainability of dairy production on the smallholder farms in South Africa.
Go ja dijo tse di nang le dikotla tse di kwa tlase go ama metaboliseme le kgolo ya meroba e e dusang mme e ngotla tlhagiso ya mašwi ya dikgomo tse di tlhagisang mašwi mo dipolaseng tse dinnye tse di tlhakanetsweng mo mafelong a a mogote. Go dirilwe dithutopatlisiso di le pedi jaaka karolo ya patlisiso ya ga jaana. Thutopatlisiso ya ntlha e sekasekile ditlamorago tsa tlamelo ya dikotla mo dijong tsa teri tse di rulagantsweng mo kgolong le dirasefe tsa mmele tsa meroba ya Dijeresi e e dusang mo dipolaseng tse dinnye tse di tlhakanetsweng mo karolong e e batlileng e nna sekaka mo Aforika Borwa. Go tlhophilwe dipolase di le 22 tse di nang le meroba e le 42, e e bogolo jo bo magareng ga dikgwedi tse 22 le 28 mme e na le dikgwedi tse supa e ntse e dusa kwa tshimologong ya thutopatlisiso. Tsone di emetse palogotlhe ya dipolase tse di mo karolong eo tse di tshegediwang ke Lenaneo le le rulaganeng la Tlhabololo ya Teri (DDP). Polase nngwe le nngwe e ne e na le bonnye meroba ya Jeresi e le mebedi e e dusang ka paka ya selemo sa 2016. Moroba mongwe le mongwe o ne o fepiwa ka 2.5 kg ya dijo tse di omileng tsa dikgomo tsa fa go sa ntse go le kgakala (malatsi a le 60-30 pele ga go tsala) mme tsa okediwa go nna 3.3 kg fa malatsi a atamela (malatsi a le 29-0 pele ga go tsala). Dijo tseno di ne di di rulagantswe go ya ka lenaneo le le rulagantsweng la kotlo le le atlenegisitsweng ke DDP. Mo nakong ya thutopatlisiso eno, ga go na kalafi epe ya kotlo e e neng e patelediwa meroba. DDP e ne e tlamela ka furu ya eragrostis curvula. Go ja ga letsatsi le letsatsi ga meroba ga 7.2 le 5.4 kg ka nako ya malatsi a le 60-30 pele ga go tsala le malatsai a le 29-0 pele ga go tsala go ne go ikaegile ka furu e e setseng. Ka jalo go ne ga tlhagisiwa gape kotlo ya meroba ya 1 (HD1) le kotlo ya meroba ya 2 (HD2) mo dikgomong tse di mo malatsing a le 60-30 pele ga go tsala le malatsi a le 29-0 pele ga go tsala. Dikotlo tseno di ne tsa sekwasekwa go bona go nna gona ga dikotla mo go tsona go dirisiwa tshekatsheko ya dikhemikale mo mogodung. Go ne ga bonelwa pele monyelo ya dikotla morago ga go feta mo mpeng ya ntlha le tsibogo ya diphologolo go ya ka Thulaganyo ya Kotlo ya Diotli tse Dikgolo (LRNS) mofuta wa 1.0.33 (legato 1). Go dirilwe tekanyo ya boima jwa mmele (BW) le maduo a seemo sa mmele (BCS) mme go ne ga tsewa madi le go a sekaseka go bona diporoteini kgwedi le kgwedi. Tsibogo ya meroba e ne ya tlhomamisiwa ka dipalo tse di bonetsweng pele tsa sekao mme ga dirwa tshekatsheko e e tshwantshanyang ya tiragatso ya diphologolo ka nako ya go dusa go dirisiwa dipalo tsa Lekgotla la Bosetšhaba la Dipatlisiso (NRC, 2001). Malebana le ditlhokegopotlana tsa diotli, HD1 le HD2 di ne di na le boleng jo bo tshwantshanyegang jwa kotlo (RFV) jo bo kwa tlase ga 144. Poroteini e e tala (CP) ya dijo e e ka nnang 35% ya HD1 e ne e le mo karolwaneng ya tekanyetso ya faeba e e bolang ka iketlo (NDF) e leng poroteini e e tala ya faeba e e lekanyediwang (NDFICP), fa 32% di ne di seyo jaaka poroteini e tala e e sa monyelegeng ya esete (ADICP). Fela jalo, HD2 e na le 5.2% tsa CP e e dirang jaaka poroteini e e teng mme karolo ya NDF e e bolang ka iketlo e ntse fela 52.3% tsa poroteini e e dirang e e gona. Bogolo jwa maikatlapelo a HD1 le HD2 bo ne bo le kwa godimo ka 25% le 16% go na le jaaka go ne go solofetswe mo dipakeng tse di kgakala le tse di atamelang. Go jewa ga poroteini e e silegang (MP) go ne go le kwa godimo ka 32% le 25% go na le jaaka go ne go solofetswe mo dipakeng tse di kgakala le tse di atamelang. Tlamelo ya MP e ne e le 37%, e leng e e kgolwane go na le diponelopele tsa NRC tsa ditlhokego tsa letsatsi le letsatsi tsa dikgomo tsa Jeresi. Seno se letlile gore go nne le koketsego ya BW ya 29 kg le BCS ya 0.33 e leng se se neng se le mo diperesenteng tsa bo25 tsa meroba e e dusang. Go nna teng ga urea ya madi mo dipakeng tse dikgakala le tse di atamelang go ne go farologane ka 25% go tswa mo dipalong tsa NRC. Go nna teng ga kereitini (CR) e ne e le 145 μmol/L mo pakeng e e kgakala le 155 μmol/L mo pakeng e e atamelang. Thutopatlisiso ya bobedi e sekasekile ditlamorago tsa dijo tse pedi tsa tlhagiso ya mašwi mo tiragatsong ya tlhagiso ya mašwi ya dikgomo tsa Jeresi di le 42 tse e leng la ntlha di tsala tsa bogolo jwa dikgwedi tse di magareng ga 24 le 30 mo pakeng ya ntlha (malatsi a le 1-30 morago ga go tsala) le ya setlhoa (malatsi a le 31-60 morago ga go tsala). Dikgomo di amogetse 4,5 le 5 kg ya motswako wa teri mo dipakeng tsa mašwi tsa ntlha (malatsi a le 1-30 morago ga go tsala) le tsa setlhowa (malatsi a le 31-60 morago ga go tsala). Go ne go tlamelwa ka furu ya eragrostis curvula go ya ka tlhokego mme go ja dijo tse di omileng (DMI) go ne go lekanyediwa go 7.2 kg ya furu/ka kgomo/ka letsatsi go tswa mo furung e e neng e setse. Go ne go sa patelediwe kalafi epe ya phepo, kwa ntle fela ga dijo tse di rulagantsweng tse di tshwanetseng tikologo ya tlhagiso. Go ne ga baakanngwa dijo tsa tlhagiso ya mašwi tse di tlhagisitsweng gape (LD 1 le LD 2) di ikaegile ka go jewa ga tse di omileng (DMI) e leng furu ya tlhaga le metswako ya tlhagiso ya mašwi. Go nna teng ga dikotla ga dijo tseno go ne ga lekanyediwa go dirisiwa khemisitiri e e bongola le go bola mo mpeng ga in vitro. Go ne ga bonelwa pele tlamelo ya dikotla ya dijo, monyelo go tswa mo maleng a mannye mme go ne ga bonelwa pele tsibogo ya dikgomo go dirisiwa Thulaganyo ya Kotlo ya Diotli tse Dikgolo (LRNS) mofuta wa 1.0.33 (legato 1). Go ne ga elwa tlhoko boima jwa mmele le BCS, go ne ga tsewa madi mme a sekasekwa go bona diporoteini kgwedi le kgwedi. Go ne ga rekotiwa tlhagiso ya mašwi letsatsi le letsatsi mme mašwi a sekasekwa go bona mafura, poroteini, laketose le urea naeterojini beke le beke. Dikgomo di ne di na le DMI ya 11.2 kg, e e neng e le kwa godingwaga ka 12% go na le jaaka go ne go solofetswe mo pakeng ya malatsi a le 1-30 morago ga go tsala, le DMI ya 11.6 kg, e e neng e le kwa godingwana ka 12% go na le jaaka go ne go solofetswe mo dikgomong tse di nang le malatsi a le 31-60 di tsetse. Dijo di ne di na le poroteini e e gona e e kwa tlase jaaka peresente ya poroteini ya dijo (LD1=46% le LD2=45%) mme karolwana ya NDF e e bodileng ka bonya (NDFICP) e nnile 64% tsa poroteini e e gona. Go jewa ga maikatlapelo go ne go le kwa tlasenyana ka 20% le 17% go na le dipalo tse dineng di bonetswe pele mo dikgomong mo dipakeng tsa malatsi a le 1-30 morago ga go tsala le malatsi a le 31-60 morago ga go tsala. Go rekotilwe balanse ya maikatlapelo a a tlhaelang a dikgomo ya -6.5 le -5.6 Mcal mo malatsing a le 1-30 morago ga go tsala le 31-60 morago ga go tsala. Go jewa ga poroteini ke dikgomo tse di tlhagisang mašwi go ne go le kwa tlase, mme seo sa baka balanse e e tlhaelang ya poroteini ya 59% le 42% tsa ditlhokego tsa letsatsi le letsatsi tsa dikgomo mo pakeng ya malatsi a le 1-30 morago ga go tsala le malatsi a le 31-60 morago ga go tsala. Go rekotilwe tatlhegelo ya BW le BCS, tlhagiso e e kwa tlase ya mašwi, mašwi a a baakantsweng maikatlapelo (ECM: 9.50 kg/ka letsatsi) le bokgoni jwa furu (FE) jo bo kwa tlase ga 1 (LD1=0.85; LD2=0.89) mo dikgomong mo dipakeng tseo tsotlhe. Go nna teng ga mafura, poroteini le laketouse mo mašwing di amegile ka tsela e e sa siamang ka ntlha ya seelo se se kwa tlase sa poroteini e e kwa tlase. Tekanyetso ya disele tsa somatiki (SCC) mo mašwing e ne e le 121±13x10³/ml mme dikgomo ga di a bontsha matshwao ape a bolwetsi. Motswako wa urea naeterojini ya mašwi (MUN) e ne e le 12±2.7mg/dl, e leng se se bontshang seemo se se kwa tlase sa poroteini sa dikgomo tse di tlhagisang mašwi. Dikgomo tseno di ne di na le motswako wa kereitine wa 116 le 102 μmol/L mo dipakeng tsa malatsi a le 1-30 morago ga go tsala le malatsi a le 31-61 morago ga go tsala, mme seo se ka supa go fokotsega ga mesifa ka ntlha ya kgatelelo ya mogote e e bakwang ke tikologo e e mogote e go tlhagisiwang mo go yona. Dipholo di bontshitse gore dijo tsa dikgomo tsa teri mo dipolaseng tse dinnye tse di tlhakanetsweng mo dikgaolong tsa Sekhukhune le Vhembe kwa Porofenseng ya Limpopo di na le boleng jo bo kwa tlase jwa kotlo le gore dijo tse di nang le dikotla tse dinnye di amile titielo ya dijo, kgolo ya meroba, dirasefe tsa mmele le tlhagiso ya mašwi ka bonako mo dikgomong tsa teri tsa Jeresi. Kwa bokhutlong, dijo tsa dikgomo tsa teri tse di godisediwang mo dipolaseng tse dinnye di na le dikotla tse di kwa tlase mme ga di tshegetse kgolo e e mosola ya meroba le tlhagiso e e siameng ya mašwi mo nakong ya ntlha ya tlhagiso ya mašwi. Go tlhokega leano la dikotla go tokafatsa dijo tsa teri go tokafatsa tlhagiso le go tshela sebaka ga dikgomo le go tokafatsa go nnela leruri ga tlhagiso ya teri mo dipolaseng tse dinnye mo Aforika Borwa.
Agriculture and  Animal Health
Ph.D. (Agriculture)

Most countries in South-East Asia have established smallholder dairy farming industries through social welfare and rural development programs to provide a regular cash flow for poorly resourced farmers. These farms are now being treated as accepted rural industries and require a more business-minded approach based on changes to farm profitability. Business Management for Tropical Dairy Farmers gives smallholder dairy farmers the business management skills they will need to remain sustainable. Drawing on detailed financial analyses of smallholders in countries such as Pakistan, Thailand and Malaysia, it shows how to budget cash inputs to match cash outflows during different seasons of the year, and how to invest wisely in improving cattle housing and feeding systems. If farmers make greater use of formats and structures for farm costs and returns, it will increase their awareness of the relative importance of all their financial inputs in terms of cost of production per kilogram of milk produced on the farm. It will also allow them to make more meaningful and timely decisions by correctly costing planned changes to their routine farming practices. The book will also be of use to support organisations to more clearly define the key drivers of profit on smallholder farms, and to government departments and national dairy organisations to routinely evaluate and update their industry policies.

Blueprints for Tropical Dairy Farming provides insight into the logistics, infrastructure and management required for the development of small and large dairy farms in tropical developing countries. Farmers will learn how to improve the welfare, milk quality and productivity of their dairy herds. This book complements author John Moran’s five previous books on the principles of tropical dairy farming. The manual covers a wide range of topics related to ensuring the sustainability of dairy production systems in tropical developing countries, such as South and East Asia, Africa and Central America. It also provides guidelines for the best management practices of large-scale, more intensive dairy systems. While smallholder farms are the major suppliers of milk in the tropics, many larger farms are becoming established throughout the tropics to satisfy the increasing demands for fresh milk. Blueprints for Tropical Dairy Farming will be a valuable resource for farmers and stockpeople who want to improve the productive performance of their dairy herds, farm advisers who can assist farmers to achieve this aim, educators who develop training programs for farmers or who train dairy advisers in the basics of dairy production technology, and other stakeholders in tropical dairy production, such as local agribusiness, policy makers and research scientists. National and international agencies will learn new insights into the required long-term logistics for regional dairy development, while potential investors will acquire knowledge into intensive tropical dairy farming.

Ethiopia is located in tropical region and livestock production represents a major national resource and forms an integral part of the Agricultural production system and livelihood of the society. Dairy farming being one of the agricultural production in Ethiopia, is practiced mainly as an extensive type of management system, which involves smallholder farmers in rural areas and semi-intensive and intensive managements in per urban and urban areas. Despite a large number of milking cows, there is low milk production because of many factors, including low genetic potential of indigenous breeds, extensive and poor husbandry practices, and widespread livestock diseases. Among the dairy cows’ diseases, mastitis is prevalent in the dairy production system incurring high economic losses and social burden. Several reports on mastitis in Ethiopia are present but are scattered. We focused on reviewing articles published in indexed journals reporting bovine mastitis to summarize its common etiologies, prevalence, and risk factors in Ethiopia. The common pathogens reported from different parts of Ethiopia are Staphylococcus aureus (Staph. aureus), non-aureus staphylococci, Streptococcus spp. (Strep. agalactiae, Strep. dysgalactiae, Strep. uberis), coliforms (E. coli, Klebsiella pneumonae), Trueperella pyogenes and Mannheimia haemolytica (M. haemolytica), Pseudomonas aeruginosa (P. aeroginosa), Enterobater aerogenes, Bacillus species, Micrococcus species. Staphylococcus aureus and E. coli are the most common isolates from clinical mastitis (CM). Staphylococcus aureus is also the most frequently isolated pathogen from sub-clinical mastitis (SCM). Sub-clinical mastitis which usually ranges from 25.4% to 73.3%, is highly prevalent than the clinical cases of mastitis which ranges from 3.2% to 26.5%. Several mastitis risk factors were reported. These were breed of animals, parity number, stage of lactation, presence of teat/udder lesion and hygiene measure of the farms. Thus, it is essential to plan and implement control measures including maintenance of good dairy farm environment, udder and milking hygiene at farm level; regular monitoring of udder health with special attention to exotic, crossbred and lactating cows and culling of older cows. Isolation, characterization and conducting antibacterial sensitivity test should be integral part of mastitis control strategy for effective control of the mastitis causing pathogens.

The importance of Cassava in the food systems of Ghanaians cannot be underestimated. As a main staple crop, Cassava contributes about 22% and 30% to the Agricultural Gross Domestic Product (AGDP) and daily calories intake respectively. Per capita consumption of 152 kg makes it the highest among all food crops. Due to Cassava’s importance, there have been lots of attention paid to it by the Government and Donor agencies towards its improvement. This has yielded substantial results in terms of the development of cassava varieties and good agronomic practices. This chapter reviewed cassava technologies development in Ghana, adoption of these technologies by smallholder farmers, and livelihood implications. Results generated showed that Research and Development since 1993 has developed, released, and disseminated 25 new cassava varieties to smallholder farmers. Average cassava yields have increased from about 14 t/ha in 2009 to 21 t/ha in 2018. Partial budget analysis showed that smallholder farmers’ profitability has increased over the years from GH₵644.32 (about US$ 111) in 2009 to GH₵5243.27 (about US$ 904) in 2018. Again, the crop is gradually gaining attention as an industrial crop for flour, starch, and alcohol production, a drive that would further improve on returns to farmers. It is a food security crop because it is robust, produces more per unit area, and versatile for multiple usages in household foods and derivatives. It is recommended that continuous policy consideration on cassava in national agricultural agenda setting is essential.