The study focused on an evaluation of the impact of food aid on food security in the area of Ngabu in the southern part of Malawi. An evaluation was needed to find out whether the food aid approach to food insecurity was the one best suited to Ngabu and whether the government's approach had produced the intended results. This study showed that food aid, when timely used, has helped to raise the dietary status and nutrition and consumption of many households in Ngabu in times of natural disaster. Food aid, however, has had a negative impact on food security by creating laziness, food aid dependency and low food production since the source of food it offers is easier to come by than that by production. The impact of food aid on the markets of Ngabu, however, has been minimal. / Development Studies / M.Admin. (Development Studies)

Une question fondamentale en écologie des populations est l’identification des facteurs influençant la dynamique d’une population. L’objectif principal de cette thèse est de déterminer quelles sont les réponses démographiques et populationnelles de prédateurs marins supérieurs face aux fluctuations d’abondance de leurs proies, aux variations climatiques, à la densité-dépendance tout en tenant compte de l’hétérogénéité inter et intra-individuelle (âge, expérience, sexe, qualité ou stratégie). Pour ce faire, nous nous baserons sur l’analyse de suivis à long-terme individuels et populationnels d’oiseaux marins longévifs et prédateurs apicaux phylogénétiquement très proches dans deux biomes contrastés : le labbe de McCormick Catharacta maccormicki sur l’archipel de Pointe Géologie en Antarctique et le labbe subantarctique Catharacta lonnbergi sur l’archipel des Kerguelen en milieu subantarctique. Nous tirerons parti d’estimations d’abondances de leurs proies respectives : le manchot Adélie Pygoscelis adeliae et le manchot empereur Aptenodytes forsteri en Antarctique, et le pétrel bleu Halobaena caerulea et le prion de Belcher Pachyptila belcheri à Kerguelen. Ces jeux de données offrent une opportunité unique de pouvoir déterminer et quantifier simultanément les différentes sources de variabilité dans les changements de taille de populations naturelles occupant l’un des niveaux trophiques les plus élevés des réseaux alimentaires antarctiques et subantarctiques. Nous avons mis en évidence de la variation dans plusieurs traits vitaux des deux populations influencées par les performances des individus et de l’hétérogénéité individuelle latente. Nous discutons des mécanismes par lesquels la variabilité climatique, l’abondance de proie et la densité de population peuvent affecter différentiellement les différentes classes d’âges de chaque trait vital, et les conséquences potentielles de futurs changements environnementaux. / A fundamental endeavor in population ecology is to identify the drivers of population dynamics. The main objective of this thesis is to determine what are the demographic and population responses of superior marine predators to the fluctuations of their prey abundance, to climatic variations, to density-dependence while taking into account inter and intra individual heterogeneity (age, experience, sex, quality or strategy). To do this, we analysed long-term individual and population-based monitoring of long-lived seabirds and phylogenetically close apical predators in two contrasting biomes: the south polar skua Catharacta maccormicki at Pointe Géologie archipelago, Antarctica, and the brown skua Catharacta lonnbergi on the sub-Antarctic Kerguelen Archipelago. We will use direct abundance of their respective prey: Adélie penguin Pygoscelis adeliae and emperor penguin Aptenodytes forsteri in Antarctica, and the blue petrel Halobaena caerulea and the thin-billed prion Pachyptila belcheri prion in Kerguelen islands. These datasets provide a unique opportunity to simultaneously disentangle and quantify the different sources of variability driving variation in natural populations occupying one of the highest trophic levels of the Antarctic and sub-Antarctic food webs. We found variation in several vital traits of both populations influenced by individual performance and latent individual heterogeneity. We discuss the mechanisms by which climatic variability, prey abundance, and population density can differentially affect the different age classes of each age class, and the potential consequences of future environmental changes.

Ethnic food markets and restaurants are the main source of immigrants’ traditional foods in South Africa. Despite this, the actual availability and accessibility of ethnic foods from the ethnic food markets and restaurants has not been investigated. Furthermore, factors that influence the role of ethnic foods in the diets of immigrants, like perceptions of Sub-Saharan Immigrants towards South Africa food culture, and the safety of ethnic foods have not been established. Although a number of studies have been conducted on the identification of microbial hazards of cooked food in the informal sector, none have been conducted on ethnic foods of Sub-Saharan Immigrants. Aim and objectives The aim of this study was to assess the availability and accessibility of Sub-Saharan African immigrants’ traditional food from ethnic food markets, shops and restaurants, establish immigrants’ perceptions towards South African’s food culture, and determine predictors of contamination of selected cooked food sold in the ethnic food markets, and restaurants. From this aim, eight objectives were formulated as follows: (i) describe the immigrants’ perceptions towards South Africa’s food culture, (ii) investigate the contribution of the ethnic food markets on the dietary patterns of immigrants, (iii) investigate the availability, and accessibility of the ethnic foods available in the ethnic food markets, and restaurants, (iv) document coping strategies adopted by immigrants when faced with shortage of their traditional foods or ingredients in South Africa (v) identify factors associated with a move away from their ethnic foods and adoption of South African foods, (vi) investigate the microbiological quality of selected cooked foods found in the ethnic food markets and restaurants, and (vii) investigate predictors of contamination of ethnic foods bought from the restaurants and markets. A cross-sectional research design using a mixed methods approach was adopted to achieve the objectives of this study. The mixed method employed three instruments, namely: questionnaire, checklist, and laboratory microbial analysis. The study was conducted in Tshwane and Johannesburg metropolitan municipalities. The study focused on two study populations: (i) immigrant households from West, East and Central Africa regions, and ii) entrepreneurs selling Sub-Saharan ethnic ready-to-eat (RTE) foods. The snowball sampling method was adopted to sample both study populations. A total of one hundred and ninety four (n=194) women and forty (n=40) entrepreneurs who met the inclusion criteria and agreed to participate were included in the study. A checklist was employed to assess restaurants and vending sites. Two samples of RTE ethnic foods were collected from each entrepreneur and submitted to the microbiology laboratory at the Council for Scientific and Industrial Research (CSIR). Data obtained from the questionnaire, checklist and microbial analysis were analysed, and descriptive statistics were presented as tables and figures. Multivariable and binary logistic regression models were fitted to the data to assess predictors of adoption and contamination respectively. Results Ethnic foods still featured prominently in the diets of immigrants, with only 7.7 % (n=15) indicating that they strictly followed a South African diet. Ethnic food markets are the main sources of ethnic foods for immigrants living in Gauteng. Efforts to maintain ethnic diets by Sub-Saharan immigrants resident in South Africa are hindered by factors such as unaffordability (39.2%;n=76) and unavailability (25.3%; n=49) of their ethnic foods. Meanwhile, relying on less preferred food (38.7%; n=75) and replacing unavailable ingredients with similar ingredients (37.6%; n=73%) were identified as two main coping strategies that are adopted by immigrants when facing unavailability of their traditional food ingredients. Four patterns of dietary acculturation were identified, namely, strict continuity with traditional foods (21.6%; n=42), very limited adoption (21.1 %; n=39), limited adoption (50.5%; n=98) and complete adoption (7.7%; n=15) of South African foods. The following were the most common food items that the respondents tended to adopt: pap (84.5%; n=164); fried potato chips (43.8%; n=85); cold drinks (42.8%; n=83); fast foods (37.6%; n=73); sphathlo (30.9%; n=60); and vetkoek (30.4%; n=59). Four factors that were associated with adoption of South African foods included:  spending R2500-R3499 (OR 3.34; p=0.017) and 3500-4500 (OR 3.99; p=0.030) on food,  residing in the country between 3-6 years (OR 5.16; p=0.001),  earning between 5000-10 000 (OR 0.52; p=0.040) and >R11 000 (OR 0.380; p=0.057), and  being in part-time/temporary employment (OR 5.85; p=0.025). The majority of the ethnic food entrepreneurs were West Africans (70%; n=28), belonging mainly to the 30-49 years old age group (88%; n=35). Over 35%% (n=14) of the entrepreneurs indicated that they had completed high school education, while 42.5% (n=17) had tertiary education. The majority (80%, n= 34) of vendors of ethnic foods did not have a certificate in food handling or hygiene practices. The majority (95%, n=38) of entrepreneurs operated in permanent structures with ceilings and walls. A majority (95%; n=38) also had access to tap water and flushing toilets. However, ownership of appliances such as thermometers (0%, n=0), microwaves (55%, n=22), and freezers (37.5%, n=15) was very low. There was also low adherence with regards to the following aspects: wearing of protective clothing such as caps (40%; n=24), apron (62.5%, n=25) and gloves (0%, n=0); not wearing jewellery (50%; n=20); keeping fingernails short and clean; and proper reheating of food. Samples contaminated with total viable counts above the threshold of satisfactory counts (<10⁵ CFU/g) was very high (71.3% , n=57). Over twenty percent (22.5%; n=18) of the food samples had unsatisfactory levels of coliforms (>10 ³ CFU/g), and 17.5% (n=14) had unsatisfactory levels (>3 CFU/g) of E. coli. Salmonella was observed in only 3.8 % (n=3) food samples. Being new in business (OR=0.010, p=.033), owning a freezer (OR .477; p= .052), not owning a microwave (OR .013, p=.074), and reheating per serving (OR .187, p=.048) were identified as significant drivers of contamination. Conclusion In the two metropolitans that were investigated only 40 vendors of ethnic foods could be identified. This number is too low to be able to supply the whole immigrant community with ethnic foods. Thus their role as a contributor to household food security is limited. As a result, although the majority of immigrants attempt to preserve their traditional diets, high ethnic food prices and unavailability of traditional ingredients forces them into bicultural eating patterns. Although bicultural eating patterns are supposed to protect against food insecurity, the adoption of unhealthy dietary habits and could render them vulnerable to food insecurity. Lack of knowledge of South Africa foods results in poor food choices. In the long run these unhealthy eating patterns could have negative implications choices. In the long run these unhealthy eating patterns could have negative implications on the nutritional health of immigrants and the health system of South Africa. Therefore, studies to identify foods with similar taste and nutritious ingredients could aid prevention of obesity and lifestyle diseases and inform culture-specific nutrition education programmes. The high number of entrepreneurs without training on food hygiene and handling practices limits the role of the ethnic restaurants in the food security of immigrants living in Gauteng, and food quality is thus compromised. Therefore, there is a need for targeted training programmes which cater for the unique needs of the ethnic entrepreneurs to enable them to play a meaningful role in ensuring that immigrants who want to maintain their food culture are food secure. These programmes should also address the poor handling and hygiene practices that were observed in this study. This could be done by emphasising the World Health Organization’s (WHO) five keys to safer food. Results of the food contamination indicate that entrepreneurs are able to produce safe food, (as supported by only moderate contamination levels of coliforms and E. coli, which also suggests low risk of environmental and enteric contaminants). However, if these concerns are not addressed immediately by proper training and monitoring, they could further compromise the role played by ethnic food markets in food security. Training and monitoring programmes should place more emphasis on the four factors that were identified as drivers of contamination / Agriculture, Animal Health and Human Ecology / Ph. D. (Agriculture)

The study focused on an evaluation of the impact of food aid on food security in the area of Ngabu in the southern part of Malawi. An evaluation was needed to find out whether the food aid approach to food insecurity was the one best suited to Ngabu and whether the government's approach had produced the intended results. This study showed that food aid, when timely used, has helped to raise the dietary status and nutrition and consumption of many households in Ngabu in times of natural disaster. Food aid, however, has had a negative impact on food security by creating laziness, food aid dependency and low food production since the source of food it offers is easier to come by than that by production. The impact of food aid on the markets of Ngabu, however, has been minimal. / Development Studies / M.Admin. (Development Studies)

English with Englsih, Northern Sotho and Tsonga summaries / Since the inception of the homestead food garden programme in Gauteng Province, more than 3 000 individuals in the City of Tshwane Region 7 have benefited from the programme. It is not known whether the gardens were actually established after beneficiaries had received the tools from government, or whether the gardens still exist and produce food. The aim of the study was to investigate the contribution of the homestead food garden programme to household food security in Region 7 in the City of Tshwane Metropolitan Municipality. The study population consisted of beneficiaries of the homestead food garden programme from 2013 to 2016 in various wards in the region. The objectives of the study were to determine the socio-demographic characteristics of the beneficiaries; to assess the current status of the homestead food gardens and other support programmes in which the beneficiaries were engaged; to assess the contribution of the homestead food garden programme to household food security (availability, accessibility, utilisation and stability); to ascertain the factors influencing food availability in the households of beneficiaries; and to identify the constraints and benefits of homestead food production. The study used a quantitative research approach involving a survey design. A semistructured questionnaire was used for data collection through face-to-face interviews in the homes of participants. The random sampling technique was employed to acquire a proportionate sample of 258 participants. Data were analysed using the Statistical Package for Social Sciences (SPSS) version 24. The analysis of quantitative data included frequencies, percentages, mean and standard deviation, standard error of mean, a binomial test and the Ordered Logistics Regression (OLR) model. Themes and codes were used to analyse data from open-ended questions (qualitative data) and convert them to frequencies and percentages. The results showed that 73% of women participated and96% participants were Black Africans. Youth participation was 19%. The participants who could read and write because they had received primary, secondary and tertiary education were 84%. The average family size of the respondents was five, ranging between 1 and 47 household members. 83% of the participants relied on social grants (child, old-age and disability grants) from government as their main source of income. 83.3% participants had backyard (homestead) gardens for their households and 26% of participants consumed vegetables from their homestead food gardens. The household expenditure of 74% of participants included the cost of vegetables, which they had to buy regularly. The food availability results showed that 51% and 50% of the participants cultivated their backyard gardens during summer and spring respectively. This implied that there were adequate vegetables in the households of most participants during those seasons. It was discovered that 60% of the participants experienced anxiety and uncertainty because they were worried over the previous four weeks that their households would not have enough vegetables. The coping strategy mostly adopted by 69% of participants was to purchase cheap vegetables when there was lack of vegetables from the gardens. 55% participants consumed vegetables frequently because they either had enough harvests from their backyard gardens or had money to buy vegetables. The factors that positively influenced vegetable availability were participants’ age; the number of support programmes available to them; the existence of backyard gardens; and access to water. Some of the major challenges that systematically hindered homestead food gardens were insects; pests and diseases; crop damage by livestock, birds and rats; a lack of water for irrigation; a lack of production inputs (seeds, chemicals, fertilisers and others); and insufficient space to plant or establish a garden. The study found that the major benefits of the homestead food gardens were the consumption of fresh, healthy vegetables from the backyard garden and saving money by not having to buy vegetables. Based on the results of the current study, it is suggested that youth participation should be bolstered to ensure the future of homestead food gardens as the majority of the participants were older than 35 years. It is also suggested that other support measures should be taken to ensure the continuity of the homestead food garden programme, such as training programmes and access to water, fencing and production inputs (seeds and fertilisers) for homestead food gardeners. / Go tloga mola go thongwago lenaneo la dirapana tša dijo la motsana ka Profenseng ya Gauteng, batho ba go feta ba 3 000 ka Seleteng sa 7 sa Tshwane ba holegile ka go fiwa dithulusi tša serapana, seabe sa tšweletšo le tlhahlo go thoma dirapana tša ka mafuri tša malapa a bona. Ga go tsebege ge eba dirapana dihlomilwe ka nnete morago ga gore baholegi ba amogele dithulusi go tšwa mmušong, goba ge eba dirapana di sa le gona le gore di tšweletša dijo. Dinepo tša dinyakišišo e be e le go nyakišiša seabe sa lenaneo la dirapana tša dijo la motsana go tšhireletšo ya dijo tša lapa Seleteng sa 7 ka Mmasepaleng wa Metropothene wa Toropo ya Tshwane. Bakgathema ba dinyakišišo ba bopilwe ke baholegi ba lenaneo la serapana sa dijo sa motsana go tloga ka 2013 go fihla ka 2016 ka diwateng tša go fapana tša selete. Maikemišetšo a dinyakišišo e be e le laetša dipharologantšho tša batho le leago tša baholegi; go sekaseka maemo a bjale a dirapana tša dijo tša motsana le mananeo a mangwe a thekgo ao baholegi ba bego ba le karolo ya ona; go sekaseka seabe sa lenaneo la serapana sa dijo sa motsana go tšhireletšo ya dijo (khwetšagalo, phihlelelo, tšhomišo le tielelo); go laetša mabaka a go huetša khwetšagalo ya dijo ka malapeng a baholegi; le go hlaola mathata le dikholego tša tšweletšo ya dijo tša motsana. Dinyakišišo di šomišitše mokgwa wa dinyakišišo tša khwalithethifi wa go akaretša popo ya lenaneopotšišo. Lenaneopotšišo le beakantšwego seripa le go šomišetšwa kgoboketšo ya datha ka dipoledišano tša go dirwa go lebelelanwe mahlong ka malapeng a bakgathatema. Thekniki ya tiro ya sampole ya go se kgethe e šomišeditšwe go hwetša sampole ya go lekanetšwa ya bakgathema ba 258. Datha di sekasekilwe ka go šomiša tlhalošo ya 4 ya Statistical Package for Social Sciences (SPSS). Tshekatsheko ya datha ya khwalithethifi e akareditše dikelo, diphesente, palogare, phapano ya tekanetšo, phošo ya tekanetšo ya palogare, teko ya phapano le mmotlolo wa ponelopele ya diphetogo. Dikgwekgwe le Dikhoute di šomišitšwe go sekaseka datha go tšwa go dipotšišo tše di bulegilego (datha ya khwalithethifi) le go di fetolela go dikelo le diphesente. Dipoelo di laeditše gore phesente ya godimo (73%) ya basadi e kgathile tema. Bontši (96%) e bile baarabi e bile Maafrika a Bathobaso. Kgathotema ya baswa e be e le ka fase ga 19%. Bontši (84%) bja baholegi bo be bo kgona go bala le go ngwala gobane ba amogetše thuto ya poraemari, sekontari le ya godimo. Bogolo bja lapa bja palogare ya baarabi e be e le hlano, go tloga gare ga tee le 47 ya maloko a lapa. Karolo ye kgolo (83%) ya baarabi ba tshephile dithušo tša leago (dithušo tša bana, botšofadi le bogolofadi) go tšwa mmušong bjalo ka mothopo wa bona wo mogolo wa letseno gomme bontši (83.3%) bo be bo na le dirapana (motsana) tša ka mafuri tša malapa a bona. Go tloga go ponego ya tšhireletšo ya dijo, dipoelo di laeditše gore 26% ya baarabi ba ja merogo ya go tšwa ka dirapaneng tša dijo tša motsana wa bona. Ditshenyegalelo tša lapa tša bontši (74%) bja baarabi di akareditše tshenyegelo ya merogo, yeo ba bego ba swanela ke go e reka kgafetša. Dipoelo tša khwetšagalo ya dijo e laeditše gore 51% le 50% ya baarabi ba lemile dirapana tša ka mafuri a bona nakong ya selemo le seruthwane ka tatelano, seo se rago gore go bile le merogo ye e lekanego la malapeng a baarabi ba bantši dihleng tšeo. Ka go realo go utulotšwe gore, mabapi le phihlelelo ya dijo, bontši (60%) bja baarabi ba itemogetše tlalelo le pelaelo bjalo ka ge ba laeditše gore ba be ba hlobaela mo dibekeng tše nne tša go feta gore malapa a bona a ka se be le merogo ye e lekanego. Leano la go laola le le amogetšwego gagolo ke bontši (69%) bja baarabi go kgonthišiša tielelo ya dijo e be e le go reka merogo ka theko ya fase ge go sena merogo go tšwa ka dirapaneng. Mabapi le tielelo ya dijo, bontši (55%) bja bakgathatema ba be ba e ja merogo kgafetša gobane ba bunne tše di lekanego go tšwa dirapaneng tša ka mafuri a bona goba ba bile le tšhelete ya reka merogo. Mabaka ao a hueditšego khwetšagalo ya merogo gabotse e bile mengwaga ya baarabi; palo ya mananeo a thekgo ao ba ka a fihlelelago; go ba gona ga dirapana tša ka mafuri; le phihlelelo ya meetse. Tše dingwe tša ditlhohlo tše kgolo tšeo di tshwentšego ka botlalo dirapana tša dijo ka motsaneng e bile dikhunkhwane; disenyi le malwetši, tshenyo ya dibjalo ka leruo, dinonyana le magotlo; tlhokego ya meetse a go nošetša; tlhokego ya ditshepetšo tša tšweletšo (dipeu, dikhemikale, manyora le tše dingwe); le sekgoba se lekanego go bjala le go hloma serapana. Dinyakišišo di hweditše gore dikholego tše kgolo tša dirapana tša dijo tša motsana e be e le go ja merogo ye meswa, ye mebotse go tšwa ka serapaneng sa ka mafuri le go boloka tšhelete ka go se reke merogo. Go ya ka dipoelo tša dinyakišišo tša bjale, go šišintšwe gore kgathotema ya baswa e swanetše go thekgwa go kgonthišiša bokamoso bja dirapana tša dijo tša motsana ka ge bontši bja bakgathatema ba be ba le bogolo bja mengwaga ya ka godimo ga 35. Gape go šišintšwe gore dikelo tša thekgo tše dingwe di swanela go tšewa go kgonthišiša tšwelopele ya lenaneo la serapana sa dijo sa motsana, go swana le mananeo a tlhahlo le phihlelelo ya meetse, legora le production inputs (dipeu le manyora) ya boradirapana tša dijo tša motsana. / Ku sukela loko ku sunguriwe nongonoko wa swirhapa swa swakudya eka Xifundzhankulu xa Gauteng, vanhu vo tlula nhlayo ya 3 000 eTshwane eka Region 7 va vuyeriwile hi ku pfunetiwa hi mathulusi ya swirhapa, swipfuneto swo rima na vuleteri ku sungula swirhapa lomu majaratini ya miti ya vona. A swi tiveki loko swirhapa swi sunguriwe endzhaku ka loko vavuyeriwa va amukerile mathulusi eka mfumo, kumbe leswo xana swirhapa leswi swa ha ya emahlweni no rima swakudya. Xikongomelo xa ndzavisiso lowu wa tidyondzo a ku ri ku endla vulavisisi hi ndlela leyi nongonoko wa swirhapa swa swakudya wu pfunetaku hi yona eka ku sirheleleka hi swakudya eka Region 7 eka Masipala wa Dorobankulu ra City of Tshwane Metropolitan Municipality. Vanhu lava a ku dyondziwa hi vona a va katsa vavuyeriwa va nongonoko wa swirhapa swa swakudya lomu makaya ku sukela hi lembe ra 2013 ku fikela hi 2016 eka tiwadi to hlayanyana ta region. Swikongomelo swa ndzavisiso lowu i ku vona muxaka wa vanhu lava nga vuyeriwa; ku kambela xiyimo xa sweswi xa swirhapa swa swakudya na minongonoko yin'wana ya nseketelo laha vavuyeriwa va nga na xiavo eka yona; ku kambela xiavo xa nongonoko wa swirhapa swa swakudya eka ku sirheleleka hi ku kuma swakudya eka mindyangu (ku kumeka, ku fikelela, ku tirhisa, na ku tshamiseka); ku kumisisa mintiyiso kumbe swilo leswi swi nga na nkucetelo eka ku kumeka ka swakudya lomu makaya ya lava vuyeriwaka; na ku vona leswi swi nga swihingakanyi eka mimbuyelo ya ku rima swakudya. Ndzavisiso wu tirhise fambiselo leri vuriwaka quantitative research ku nga ku hlayela leswi a swi katsa dizayini ya survey. Ku tirhisiwe endlelo ra nongonoko wa swivutiso leswi nga tsariwa ku nga semi-structured questionnare ku hlengeleta data hi ku endla ti-interview ta xikandza-na-xikandza emakaya ya lava a va teka xiavo. Ku tirhisiwe thekniki ya random sampling ku kuma mpimanyeto wa proporionate sample eka vanhu va 258 lava a va teka xiavo eka ndzavisiso. Data yi ve yi hlahluviwa hi ku tirhisa Statistical Package for Social Sciences (SPSS) version 24. Nhlahluvo wa quantitative data a wu katsa vungani bya ku humelela ku nga frequences, tiphesente, mean, standard deviation, standard error of mean, binomial test na modlele wa Ordered Logistics Regresion (OLR). Eku hlahluveni ku tirhisiwe tithemes na tikhodi ku kambela data eka swivutiso leswi a swi ri na tinhlamulo to hambana-hambana ku nga open-ended questions (qualitative data) na ku swi hundzuluxa ku va swikombisa leswo swi endleke kangani (frequencies) na tiphesente ta ku endleka. Vuyelo byi kombise tiphesente ta le henhla eka vamanana hi (73%) lava a va ri na xiavo. Vunyingi bya vanhu lava a va hlamula swivutiso a ku ri Vanhu va Vantima va Ma-Afrika. Xiavo xa lavantshwa a xi ri ehansi ka 19%. Vunyingi bya vavuyeriwa (84%) a va kota ku hlaya no tsala hikuva a va kumile dyondzo ya prayimari, sekondari na ya le tikholichi na tiyunivhesiti. Mpimanyeto wa nhlayo ya vanhu va mindyangu a ku ri vanhu va ntlhanu, ku sukela eka wun'we ku fikela eka swirho swa 47 eka ndyangu. Ntsengo wa le henhla wo ringana (83%) wa vahlamula swivutiso i vanhu lava va hanyaka hi mpfuneto wa mali ya mfumo eka vanhu (ku nga xipfuneto xo wundla vana, mudende wa vadyuhari, na mpfuneto eka vo lamala) ku suka eka mfumo tani hi mali leyi nghenaka leyi va tshembeleke eka yona ngopfu kasi vunyingi bya vona (83.3%) va na swirhapa (lomu makaya) emitini ya vona. Mayelana na ku sirheleleka hi swakudya, vuyelo byi kombise leswo 26% wa vahlamuri va swivutiso va dya miroho yo huma eka swirhapa swa swakudya swa vona. Mpimanyeto wa mali lowu tirhisiwaka hi mindyangyu yo tala ku nga (74%) wa vahlamuri va swivutiso va katse ntsengo wa nxavo wa miroho, leyi va yi tirhisaka ku xava hi mikarhi na mikarhi. Vuyelo bya ku kumeka ka swakudya wu kombe leswo 51% wa vahlamuri va swivutiso va rima swakudya swa vona lomu swirhapeni swa le makaya ya vona hi nkarhi wa ximumu na hi nkarhi wa ximun'wana, leswi swu vulaka leswo a ku ri na miroho yo ringanela eka miti eka vahlamuri votala va swivutiso hi mikarhi ya tisizini leti. Ku ve ku kumeka leswaku mayelana na ku kumeka ka swakudya, vunyingi lebyi nga (60%) wa vahlamuri va swivutiso va karhateka na ku va va nga ri na ku tiyiseka hikuva va kombise leswo va xaniseka eka mavhiki ya mune lama nga hundza leswo mindyangu ya vona yi nga ka yi nga vi na miroho yo ringanela. Leswi vunyingi byi swi endleka ku ringeta ku hanya eka xiyimo lexi, vunyingi byi nga (69%) wa vahlamuri va swivutiso va vule leswo va xava miroho ya ntsengo wa nxavo wa le hansi loko ku nga ri na miroho eswirhapeni swa vona. Mayelana na ku tshamiseka hi swakudya, vunyingi bya vahlamuri va swivutiso (55%) va dya miroho hakanyingi hikuva va ri na ntshovelo wo ringanela eka swirhapa swa miroho ya vona kumbe hikuva va ri na mali yo xava miroho. Swilo leswi nga na nkucetelo lowunene hi ku kumeka ka miroho, ku ve malembe ya vukulu bya vahlamuri va swivutiso; nhlayo ya minongonoko ya nseketelo eka vona; vukona bya swirhapa swa miroho lomu makaya; na ku kumeka ka mati. Swin'wana swa mintlhontlho leyikulu leyi nga nkavanyeto eka swirhapha swa swakudya i switsotswana na vuvabyi ya swimila; ku onhiwa ka swibyariwa hi swifuwo; swinyenyane na makondlo; ku pfumaleka ka mati yo cheleta; ku pfumaleka ka swipfuneto swo rima (ku nga timbewu, tikhemikali, swinonisi na swin'wana swo tano); ku ka vanhu va nga ri na ndhawu yo ringanela ku byala kumbe ku endla swirhapa. Ndzavisiso wa dyondo wu kume leswo vunyingi bya vavuyeriwa eka swirhapa swa swakudya ku ve ku kota ku va na miroho ya furexe, miroho leyi nga na rihanyu eka swirhapa swa vona lomu makaya no hlayisa mali hikuva va nga xavi miroho. Hi ku landza vuyelo bya ndzavisiso wa dyondo wa sweswi, ku ringanyetiwa leswaku ku fanele ku khutaziwa ku va na xiavo ka vantshwa ku tiyisa vumundzuku bya swirhapa swa miroho, hikuva vunyingi bya lava va nga na xiavo a ku ri vanhu va malembe ya le henhla ka 35 hi vukulu. Ku pimanyetiwa na leswo ku fanele ku va na tindlela tin'wana to seketela ku tiyisa leswo nongonoko wa swirhapa swa swakudya wu ya emahlweni, ku endliwa ka swilo swo fana na minongonoko ya vuleteri, ku biyela swirhapa hi mifensi na swipfuneto swo byala (swo fana na timbewu na swinonisi eka swirhapa swa swakudya lomu makaya. / Agriculture and  Animal Health / M. Sc. (Agriculture)