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)

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)