Text in English with summaries and keywords in English, Venda and Sepedi / Fuelwood remains a crucial source of energy among the vast majority of rural households because of its availability and affordability in comparison with most energy alternatives. Approximately 17 million people in South Africa live in communal lands where fuelwood can be harvested easily and freely by households, with 80% of the overall fuel consumed for domestic purposes extracted from burning fuelwood. The rapid-excess trends of fuelwood consumption – aggravated by population growth, agricultural and household settlement expansions – pose utmost challenges for community development. Overharvesting of fuelwood can result in fuelwood scarcity, loss of biodiversity, excessive land clearance and soil erosion. This study evaluated the factors that influence fuelwood consumption in households at the Thulamela Local Municipality. The study utilised mixed research methods, comprising quantitative and qualitative methods. A semi-structured questionnaire consisting of both closed and open-ended questions was used to collect data from the households. The collected data was mainly qualitative data (nominal and categorical data) and the researcher used the frequency menu to summarise the data and cross tabulation menu in the Statistical Package for Social Scientists (SPSS) version 25. For cross tabulation, the researcher used the Chi-square (χ2) test to measure the degree of association between two categorical variables. If the p-value is less than 0.05, there is a significant association between variables – thus, the variables dependent on each other. The study found that socio-economic characteristics such as monthly income, employment status, gender, educational level of the household head, number of employed household members, energy expenditure and type of occupation play a significant role in the factors that influence fuelwood consumption. As a result of these factors, fuelwood energy is still being used as a primary energy source by most households to meet their domestic needs for cooking and water heating – despite most of them being electrified. Additionally, lack of environmental education, the erratic electricity supply and staggering living conditions which drive widespread poverty in rural areas contribute to the extensive fuelwood consumption among households. The study highlighted the recommendations on mitigation measures that can be used to reduce extensive fuelwood consumption. These recommendations include encouraging the use of renewable energy and modern energy technologies such as biogas and solar energy, together with improved cooking stoves to help reduce overexploitation of natural resources and prevent indoor air pollution which is associated with heart disease and immortality. There is also a need to raise environmental awareness. It is through education that people’s perceptions, attitudes and behaviour regarding fuelwood consumption practices can be changed. The promotion of sustainable development through harvest control and afforestation can significantly reduce deforestation, loss of biodiversity, fuelwood scarcity and soil erosion. / Khuni dzi kha ḓi shumiswa sa tshiko tshihulwane tsha mafulufulu kha miṱa minzhi ya mahayani ngauri dzi a wanala na u swikelelea musi dzi tshi vhambedzwa na dziṅwe nḓila dza mafulufulu. Vhathu vha swikaho miḽioni dza 17 Afrika Tshipembe vha dzula mahayani hune vha kona u reḓa khuni hu si na vhuleme nahone nga mahala, ngeno zwivhaswa zwi swikaho 80% zwi shumiswaho miḓini zwi tshi bva kha khuni. Maitele maṅwe a tshihaḓu a kushumiselwe kwa khuni – a tshi ṋaṋiswa na nga nyaluwo ya vhathu, u engedzea ha vhulimi na vhupo ha vhudzulo – zwi ḓisa khaedu kha mveledziso ya tshitshavha. U reḓa khuni lwo kalulaho zwi nga vhanga ṱhahelelo ya khuni, u xelelwa nga mutshatshame wa zwi tshilaho, u ṱangula mavu na mukumbululo wa mavu. Ngudo iyi yo ḓiimisela u ela zwivhumbi zwi ṱuṱuwedzaho u shumiswa ha khuni miḓini ngei kha Masipala Wapo wa Thulamela. Ngudo yo shumisa ngona dza ṱhoḓisiso dzo ṱanganaho dzi re na ngona khwanthethivi na khwaḽithethivi. Mbudzisambekanywa dzo dzudzanywaho dzi re na mbudziso dza phindulo nthihi na dza phindulo ndapfu dzo shumiswa u kuvhanganya data miḓini. Data yo kuvhanganyiwaho kanzhi ndi yo sedzaho ndeme (ya tshivhalo na khethekanyo) ngeno muṱoḓisisi o shumisa menyu wa tshivhalo tsha zwithu u nweledza data na menyu wa thebulu dzi leluwaho kha Statistical Package for Social Scientists (SPSS) vesheni ya vhu 25. U itela thebulu dzi leluwaho, muṱoḓisisi o shumisa ndingo dza Chi-square (χ2) u ela tshikalo tsha nyelelano vhukati ha zwithu zwivhili zwo fhambanaho. Arali ndeme ya p i ṱhukhu kha 0.05, hu na u elana hu hulwane vhukati ha zwithu zwi vhambedzwaho – zwithu izwi zwi dovha zwa ṱalutshedzana. Ṱhoḓisiso yo wana uri zwiṱaluli zwa ikonomi na matshilisano sa mbuelo ya ṅwedzi, tshiimo mushumoni, mbeu, ḽeveḽe ya pfunzo ya ṱhoho ya muḓi, tshivhalo tsha vhathu vha shumaho muṱani, mbadelo dza fulufulu na mushumo une muthu a u shuma zwi na mushumo muhulwane kha zwithu zwi ṱuṱuwedzaho u shumiswa ha khuni. Nga ṅwambo wa zwithu izwi, khuni dzi kha ḓi shumiswa sa tshiko tshihulwane tsha fulufulu kha miḓi minzhi u swikelela ṱhoḓea dzavho dza hayani dza u bika na u wana u dudedza – naho vhunzhi havho vhe kha muḓagasi. Nṱhani ha izwo, u sa vha na pfunzo ya vhupo, nḓisedzo ya muḓagasi ine ya dzula i tshi shanduka na maga a kutshilele a konḓaho ane a vhanga vhushai ho andaho kha vhupo ha mahayani zwi vhanga u shumiseswa ha khuni miḓini. Ngudo dzo sumbedzisa themendelo kha maga a u lulamisa ane a nga shumiswa u fhungudza u shumiseswa ha khuni. Themendelo idzi dzi katela u ṱuṱuwedza tshumiso ya mafulufulu ḽo vusuludzwaho na thekhinoḽodzhi dza fulufulu dza musalauno sa bayogese na fulufulu ḽa masana a ḓuvha, kathihi na zwiṱofu zwa u bika zwo khwiniswaho u thusa u fhungudza u tambiseswa ha zwiko zwa mupo na u thivhela tshikafhadzo ya muya nga ngomu zwine zwa vhanga vhulwadze ha mbilu na dzimpfu. Hu na ṱhoḓea ya u ita mafulo a zwa vhupo. Ndi nga kha pfunzo hune kuvhonele kwa vhathu, kusedzele kwa zwithu na vhuḓifari havho maelana na kushumiselwe kwa khuni zwa nga shandukiswa. U bveledzwa ha mveledziso i sa nyeṱhi nga kha ndango ya khaṋo na u ṱavhiwa ha miri zwi nga fhungudza vhukuma u fhela ha maḓaka, u lozwiwa ha mutshatshame wa zwi tshilaho, u konḓa ha khuni na mukumbululo wa mavu. / Dikgong tša go bešwa di tšwela pele go ba methopo o bohlokwa wa enetši gareng ga bontši bja malapa a dinagamagaeng ka lebaka la ge di hwetšagala le go se ture ga tšona ge di bapetšwa le mekgwa ye mengwe ya enetši. Tekano ye e ka bago batho ba dimilione tše 17 ka Afrika Borwa ba dula mafelong a magaeng fao dikgong di ka kgonago go rengwa gabonolo le ka tokologo ke malapa a, fao e lego gore 80% ya palomoka ya dibešwa tšeo di šomišwago ka gae di hwetšwago go dikgong. Lebelo leo ka lona dikgong di hwetšago ka lona gore di tle di bešwe – leo le mpefatšwago ke go gola ga setšhaba, temo le go oketšega ga madulo a batho – le tliša ditlhohlo tše kgolo tlhabollong ya setšhaba. Go rema dikgong go fetišiša go ka feletša ka go hlaelela ga tšona, tahlegelo ya phedišano ya diphedi tša mehutahuta, go rema mehlare ka fao go fetišišago le kgogolego ya mobu. Dinyakišišo tše di ikemišeditše go sekaseka mabaka ao a huetšago go šomišwa ga dikgong ka malapeng ka Masepaleng wa Selegae wa Thulamela. Dinyakišišo tše di šomišitše mekgwa ya dinyakišišo ye e hlakantšwego, ye e lego wa dinyakišišo tša bontši le wa dinyakišišo tša boleng. Dipotšišonyakišišo tšeo di beakantšwego ka seripa tše di nago le bobedi dipotšišo tša di nago le dikgetho le dipotšišo tšeo di nyakago gore motho a fe maikutlo a gagwe di šomišitšwe go kgoboketša tshedimošo ka malapeng. Tshedimošo ye e kgobokeditšwego e bile kudu tshedimošo ya boleng (ya dipalo le ya go hlophiwa) gomme monyakišiši o šomišitše menyu wa bokgafetšakgafetša go dira kakaretšo ya tshedimošo le go menyu wa go bea dilo ka dintlha ka Sehlopheng sa Dipalopalo sa Bašomi ba tša Mahlale a Leago (SPSS) bešene ya 25. Go bea dilo ka dintlha, monyakišiši o šomišitše teko ya Chi-square (χ2) go ela bogolo bja kamano magareng ga diphapano tše pedi tša magoro. Ge p-value e le ye nnyane go 0.05, go na le kamano ye bohlokwa magareng ga diphapano – ke gore, diphapano di a hlalošana. Dinyakišišo di hweditše gore dipharologantši tša ekonomi ya setšhaba tša go swana le letseno la kgwedi ka kgwedi, maemo a mošomo, bong, maemo a thuto a hlogo ya lapa, palao ya maloko a ka lapeng ao a šomago, tšhomišo ya tšhelete go enetši le mohuta wa mošomo di raloka tema ye bohlokwa ka mabakeng ao a huetšago go šomišwa ga dikgong. Ka lebaka la mabaka a, enetši ya dikgong e sa šomišwa bjalo ka methopo o bohlokwa wa enetši ke malapa a mantši ka nepo ya go fihlelela dinyakwa tša bona tša ka gae tša go apea le go ruthufatša dintlo – go sa kgathale gore bontši bja tšona ke tša mohlagase. Godimo ga fao, tlhokego ya thuto ya mabapi le tikologo, kabo ya mohlagase ye e sa tshepišego le maemo a bophelo ao a hlobaetšago ao a hlohleletšago bohloki ka dinagamagaeng di tsenya letsogo go tšhomišo ya dikgong go fetišiša ka malapeng. Dinyakišišo di hlagiša ditšhišinyo tša mabapi le go fokotša tšhomišo ya dikgong go fetišiša. Ditšhišinyo tše di akaretšwa go hlohleletša tšhomišo ya mohlagase wa go dirišwa leswa le ditheknolotši tša enetši tša sebjalebjale tša go swana le gase ya tlhago le mohlagse wa sola, gotee le ditofo tša go apea tšeo di kaonafaditšwego ka nepo ya go fokotša go šomiša kudu methopo ya tlhago le go thibela tšhilafatšo ya moya ya ka dintlong e lego seo se amantšhwago le bolwetši bja pelo le mahu. Gape go na le tlhokego ya go tliša temošo ya tša tikologo. Ke ka go diriša thuto fao e lego gore maikutlo a batho, ditebelelo le maitshwaro a bona mabapi le ditiro tša tšhomišo ya dikgong a tlago fetošwa. Tšwetšopele ya tlhabollo ya go ya go iule ka taolo ya go rema dikgong le go bjala mehlare fao go ka fokotšago go rengwa ga mehlare, tahlegelo ya mehutahuta ya diphedi, tlhaelelo ya dikgong le kgogolego ya mobu. / Environmental Sciences / M. Sc. (Environment Management)

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)