Smallholder Pig Production Systems Research Articles

Co-infections of respiratory pathogens and gastrointestinal parasites in smallholder pig production systems in Uganda

A cross-sectional study was conducted to identify factors for infections of pigs with key respiratory pathogens: porcine circovirus type 2 (PCV2), porcine reproductive and respiratory syndrome virus (PPRSv), Mycoplasma hyopneumoniae (M. hyo), Actinobacillus pleuropneumoniae (App), and gastrointestinal (GI) parasites in Uganda. A structured questionnaire was used to collect data on management practices associated with infections. Ninety (90) farms and 259 pigs were sampled. Sera were screened against 4 pathogens using commercial ELISA tests. The Baerman’s method was used to identify parasite species in faecal samples. Logistic regression was done to identify risk factors for infections. Results showed individual animal seroprevalence of PCV2 was 6.9% (95% CI 3.7–11.1), PRRSv 13.8% (95% CI 8.8–19.6), M. hyo 6.4% (95% CI 3.5–10.5), and App 30.4% (95% CI 24.8–36.5). The prevalence of Ascaris spp. was 12.7% (95% CI 8.6–16.8), Strongyles spp was 16.2% (95% CI 11.7–20.7), and Eimeria spp. was 56.4% (95% CI 50.3–62.4). Pigs infested with Ascaris spp. were more likely to test positive to PCV2, odds ratio (OR) 1.86 (CI 1.31–2.60; p = 0.0002). For M. hyo, infection with Strongyles spp. was a risk factor (OR 12.9, p < 0.001). Pigs that had Strongyles and Ascaris spp. Infections (ORs 3.5 and 3.4, p < 0.001 respectively) were likely to have co-infections. The model showed that use of cement, elevated floor, and limiting contacts with outside pigs were protective while using mud and helminth infestations increased risks of co-infections. This study provided evidence that improved housing and biosecurity are critical in reducing pathogen incidence in herds.

Effect of artificial insemination in comparison to natural mating on the reproductive performance and profitability of smallholder pig production system in Indian Himalaya

In fragile ecosystems, smallholder pig production systems provide food and nutritional security to resource-poor communities. Pigs are the main livestock raised by indigenous communities in the Himalayan region of India, but their productivity is low for several reasons. The present study aimed to study the pig herd size and to evaluate the impact of artificial insemination (AI) on profitability and sustainability in the small-holder pig production system. A total of 612 AIs were carried out in 483 sows in the farmer's field along with 114 sows that underwent natural breeding. A comparison was made between the reproductive performance of sows following AI and natural breeding. The profitability and economics of AI and natural breeding were also compared. The mean pig population varied from 4.75 to 6.42 in the study region. The farrowing rate, total born piglets (TBPs), and live born piglets (LBPs) were significantly higher (P&amp;lt; 0.001) in artificially inseminated sows compared to naturally bred sows (9.37 vs. 6.28; 8.93 vs. 5.45). Farrowing rate (P= 0.005), TBP, and LBP were significantly (P&amp;lt; 0.001) higher in sows inseminated by female inseminator as compared to male inseminator (81.26 vs. 71.42%; 9.65 vs. 8.80; 9.21 vs. 8.38). The insemination by uneducated farmers resulted in significantly (P= 0.002) lower farrowing rate, TBP (P&amp;lt; 0.001), LBP (P&amp;lt; 0.001), and AI per farrowing (P= 0.042). The farmers who did AI for the third time and more than three times recorded significantly (P&amp;lt; 0.001) higher farrowing rates, TBP, and LBP. The farrowing rate was significantly (P&amp;lt; 0.001) less in sows that were located more than 30 km away from the semen center (66.66 vs. 82.90%). The net return per sow was significantly higher (P&amp;lt; 0.001) in artificially inseminated sows (US$464.8 vs. US$248.11). AI resulted in an 87.33% increase in net returns per farrowing as compared to natural breeding. In conclusion, AI in smallholder pig production systems has the potential to sustainably improve the profitability as well as the food and nutritional security of resource-poor farmers.

Challenges and opportunities of smallholder pig production systems in Rwanda.

To decipher the dynamics, challenges, and opportunities of smallholder pig farming in Rwanda, a household survey was conducted in ten districts of the country. A total of 900 households selected randomly across four provinces and one city, 12 districts, 28 sectors, and villages were interviewed using a pretested printed questionnaire. Most of the respondents were heads of household: 70.9% for western, 63.5% in eastern, 54.1% in northern, and 52.5% in southern province, and their mean age was 46.7years and had widely varying education levels. Crossbred pig genotypes were the most preferred due to their high growth rate and produce large litters compared to local pigs, as well as their high resistance to disease, and can better utilize low-quality feeds compared to pure exotic pigs. Piglets and sows were the biggest populations on most farms. Production of piglets for sale was the main purpose of rearing pigs in 63.7% of the farms. Natural mating was almost (99.1%) exclusive on all farms, implying that artificial insemination is yet to take root in Rwanda. Weeds were reported to be the main feed resource used particularly in wet season, while cereal grain mashes and concentrates were used by very few farmers due to high costs. Dominant challenges related to limited pig and pork markets, high taxation, limited extension services, and disease outbreak were highlighted. The most common diseases affecting pigs were swine erysipelas and internal parasites. Access to veterinary services by the households was limited especially in northern province (20%) leading to wrong diagnosis. Capacity building and provision of access to quality animal health services as well as setting up of markets were proposed as strategies to improve pig production by smallholders in Rwanda and grab a share of the lucrative pork market in the region.

Investigation of animal health and husbandry practices in smallholder pig production systems in Timor-Leste.

Enhanced pig productivity on smallholder farms is recognised as a necessary strategy to enhance financial and food security in Timor-Leste where poverty and malnutrition are abundant. While poor pig health is recognised as a main constraint, information on pig herd health and management have not been thoroughly quantified. This study surveyed 120 pig owners (63 were female) and 352 of their pigs in Bacau and Bobonaro municipalities in 2018 to develop baseline information. Our analysis investigated three management systems among surveyed pig owners: confined management, characterised by permanent penning and/or tethering pigs (33.6%), semi-confined management (39.7%) and free-roaming management (27.7%). Free-roaming management was only observed in non-urban villages. Most inputs were limited across all management types with heavy reliance on cooked household scraps to feed pigs (84.7%), limited use of commercial feeds (5.1%), a lack of routine pen cleaning (73.8%), a lack of vaccination against classical swine fever (72.9%), limited use of para-veterinary services when pigs were sick (71.7%), and low treatment rates for pig skin diseases (10.3%) and intestinal parasites (8.7%). A high use of uncontrolled breeding (79.1%) was identified, accompanied by a limited knowledge of oestrus (20.7%) and gestation length (24.1%). Low output was observed with animals mainly sold when money is needed or when they were old. There was poor health with high piglet mortality rate (22.4-24.4%), moderate rates of current illness (22.4%), common occurrence of mites (12.2%), and high faecal presence of A. suum (29.0%), T. suis (10.2%), and S. ransomi (22.7%). To overcome the widespread constraints to productivity affecting all management systems, and to limit the impacts of highly infectious and often fatal African swine fever which was first reported in Timor-Leste pigs in September 2019, improved animal health and veterinary support, and education on pig management and suitable available nutrition sources are needed.

Characterization of smallholder pig production systems in the Western Cape, South Africa.

This study set out to characterize the farming and management practices of smallholder pig production systems in the Western Cape, South Africa. Data was gathered in three municipalities: Khayelitsha (27 farmers), Mamre (26 farmers) and Malmesbury (22 farmers) with the use of a structured questionnaire through both face-to-face and telephonic interviews. The study revealed that smallholder pig farmers in the Western Cape owned on average 37.4 ± 50.5 pigs. Majority of farmers (61%) made use of tattoo markings to identify their pigs, 6% made use of ear tags and 4% clipped the ears of their pigs. More than 25% of farmers did not use any method of identification to mark their pigs. More than half of the respondents (51%) do not have formal recordkeeping systems in place. Livestock theft was found to be a major problem amongst farmers. No differences were found amongst the three study areas and the type of housing system used (P > 0.05). The most popular materials pens were constructed of across the three areas were wood (40%), corrugated iron (16%) or a combination of the two (32%); other materials used were cement blocks (5%), polystyrene (1%) or plastic (1%). Pig farmers kept 43% Large White, 43 % crossbred and 14% Landrace across the three districts. Commercial feed was used by 61% of Mamre farmers whereas Khayelitsha farmers fed an equal amount of by-products (44%) and mixed (44%) feed to their pigs, whereas Malmesbury fed 44% mixed, 33% commercial and 24% by-products obtained from factories to their pigs. Piglet mortality due to the sow lying on her piglets was experienced by 47% of farmers interviewed, whilst 29% had experienced piglet mortalities due to the cold. Perturbingly, 76% of farmers did not send dead pigs for a post-mortem, stating that they could not rely on veterinarians or afford their services. Smallholder pig farmers in Malmesbury (68%) and Khayelitsha (70%) sold their pigs to the informal market, indicating that keeping pigs provided a source of revenue. Mamre marketed 88% of their pigs as weaners, Khayelitsha marketed 73% of their pigs as growers, whereas Malmesbury kept 32% of their pigs as breeding stock. Khayelitsha and Malmesbury marketed their growers at 63.3 ± 41.2 kg and 51.5 ± 30.2 kg, respectively, to the informal market. The study highlights the farming practices of smallholder pig farmers in three districts in the Western Cape. There a few differences in the practices of these farmers, but overall, there are similar limitations that hinder them from improved production, such as limited recordkeeping, theft, lack of infrastructure and finances for post-mortem examination. Smallholder pig farmers in the Western Cape are still mainly selling to the informal market. This informal market is not fully characterized yet in the Western Cape, and more studies are needed to further determine and investigate the benefits of only selling to the informal market.

Smallholder pig production system of Assam

The study was carried out to attain information on smallholder pig production systems of Assam. Stratified purposive and random sampling design was followed for selection of respondents in two districts namely Tinsukia and Dhemaji located in sub-Himalayan terrain. The socioeconomic parameter of the farmers were delineated. Mostly the pigs were reared in semi-intensive to loosehouse system. Major feed ingredients were kitchen waste and locally available, seasonal unconventional feed. There was prevalence of local breeds namely Ghungroo and Doom pigs along with crossbred animal mostly of Hampshire and Large White Yorkshire crosses. The field level performance was evaluated. The study revealed the major constrains and opportunity for improvement of the sector in the surveyed area.

Success rate, genetic improvement and economic analysis of artificial insemination delivery models for smallholder pig production systems

Context Smallholder pig production systems in the north-eastern region of India are characterised by inefficiency due to use of unselected local pigs, and multiple breeding constraints such as paucity of superior germplasm, high mating costs, and poor access to artificial insemination (AI). Effective AI is the most viable option for genetic improvement and enhancing pig productivity. Aim The study was designed to assess the success rate and economic efficacy of four AI delivery models (Models I–IV): (I) AI at farmer’s doorstep through direct linkage to tribal farmers; (II) AI at farmer’s doorstep through trained, educated youth; (III) oestrus synchronisation and fixed-time AI; and (IV) mobile van-based AI delivery system. The study also sought to ascertain the benefits of adopting a crossbreeding program through AI over the existing use of local pigs for smallholder systems. Methods Semen collected from nine Hampshire boars was routinely utilised for AI after processing as per standard protocols. For Models I–IV, respectively, 259, 154, 183 and 284 sows from 75 villages/clusters were inseminated. Reproductive and litter performance as well as insemination cost were evaluated for each model. Growth performance of crossbred pigs obtained through AI was compared with that of local pigs in the smallholder production system. Key results Farrowing rate and mean litter size at birth were 74.90% and 8.57 ± 0.52 for Model I, 68.83% and 8.08 ± 0.37 for Model II, 80.87% and 9.31 ± 0.41 for Model III, 75.00% and 8.54 ± 0.64 for Model IV, and 81.58% and 6.81 ± 0.29 for natural service. Farrowing rate, litter size at birth and at weaning, and litter weight at weaning were significantly (P &lt; 0.05) affected by AI delivery model in the order: Model III &gt; Model I = Model IV &gt; Model II. Litter weight at birth was significantly (P &lt; 0.05) affected by AI delivery model in the order: Model III &gt; Model I = Model II = Model IV. Lowest cost per insemination was found for Model IV (INR 319.00) followed by Model II (INR 449.00), Model III (INR 629) and Model I (INR 899). All models had lower cost than the natural service system (INR 2200). The growth performance of crossbred pigs obtained through AI was significantly (P &lt; 0.01) higher than of the local pigs reared in the same production system. Conclusion The present study justifies the accessibility, feasibility and potential benefit of AI delivery models in smallholder/backyard pig production systems in the north-eastern region of India. Use of these AI delivery models will overcome the breeding constraints and reward farmers with more rapid genetic improvement in productivity with lower production costs. Model III (oestrus synchronisation and fixed time AI) shows best productivity and Model IV (mobile van-based AI delivery system) has lowest cost. Implications These AI delivery models will be effective for sustainable and economic piggery development and improve the socioeconomic livelihood of pig farmers in South Asian countries.

Pig Shed Wastewater Recycling Model for Smallholder Pig Production System of Northeast Himalayan Region

Pig Shed Wastewater Recycling Model for Smallholder Pig Production System of Northeast Himalayan Region

Artificial Insemination Training Program for Smallholder Pig Farms in Gauteng Province, South Africa

The aim of this study was to facilitate artificial insemination training to enhance sustainable pig production within the developing smallholder pig production sector in Gauteng Province, South Africa. Eighteen smallholder pig farmers with requisite structures (pig house, pens), pigs (large white, landrace duroc or South African indigenous) and management (feeding, cleaning and record keeping) capacity were trained on routine pig management and artificial insemination procedures in a &amp;ldquo;learning by doing&amp;rdquo; on-farm supervised programme administered by Agricultural Research Council, Animal Production pig training team. Following estrus detection, 96 sows were artificially inseminated and 31 naturally served (NS). Farrowing rates (FR), total born (TB) and born alive (BA) piglets were recorded. The occurrence ccurrence of mummified fetuses (0.019 vs. 0.022%) and weak piglets (0.038 vs. 0.049%) did not differ between artificially inseminated sows and naturally mated sows. Born alive, birth weight and weaning weight were higher for artificial inseminated sows. The average litter size was 15&amp;plusmn; and 13&amp;plusmn;, birth weight 1.98&amp;plusmn;0.79 kg and 1.48&amp;plusmn;0.58 kg and weaning weight 9.89&amp;plusmn;0.87 kg and 7.23&amp;plusmn;0.71 kg for the AI and NS litters, respectively. Farmer demographic factors (age, gender and educational level) had no effect on farrowing rate, total born and piglets born alive. Therefore, implementation of artificial insemination techniques and pig production training was feasible under a smallholder pig production system.

Slaughterline records of various postmortem pathological lesions and their influence on carcass and meat quality in slaughtered pigs.

The aim of this study was to identify the prevalence of pathological lesions in pigs from small-scale farms and to determine associations between pathological lesions and hematological parameters, and carcass and meat quality in slaughtered pigs. The study was conducted on 625 pigs (~115kg) originating from 20 small-scale farms. Any signs of pneumonia, pleurisy, pericarditis, and liver milk spots were recorded as present or absent. Complete blood count was investigated. The following carcass quality parameters were measured: live, hot and cold carcass weights, cooling loss, dressing percentage, backfat thickness, and meatiness. Meat pH and temperature were measured 45min postmortem. Of the 625 examined pigs, 41.8% had pneumonia, 23.5% pleurisy, 2.7% pericarditis, and 29.9% liver milk spots. The presence of pathological lesions in slaughtered pigs adversely affected hematological parameters, reduced live, hot and cold carcass weights, and meatiness and had deleterious effects on meat quality (higher pH45min and higher prevalence of dark, firm and dry meat). In conclusion, this study showed a high prevalence of pathological lesions in slaughtered pigs, indicating serious health problems in smallholder pig production systems. The presence of single and, especially, multiple pathological lesions in slaughtered pigs negatively affected hematological parameters, and carcass and meat quality.

The importance of on-farm biosecurity: Sero-prevalence and risk factors of bacterial and viral pathogens in smallholder pig systems in Uganda

BackgroundThe productivity of pigs in smallholder systems is affected by high disease burden, most of which might not be obvious, with their epidemiology and impact being poorly understood. This study estimated the seroprevalence and identified the risk factors of a range of bacterial and viral pathogens of potential economic and public health importance in domestic pigs in Uganda. A total of 522 clinically healthy pigs were randomly selected from 276 pig farms in Masaka (142) and Lira (134) districts of Uganda in 2015. ResultsOverall the highest animal prevalence was found for Streptococcus suis 73.0% (CI95: 67.0–78.3) in Lira and 68.2% (CI95: 62.7–73.4) in Masaka; followed by Porcine circovirus type 2 with 50.8% (CI95: 44.5–57.2) in Lira and 40.7% (CI95: 35.2–46.5) in Masaka and Actinobacillus pleuro-pneumoniae, 25.6% (CI95: 20.4–31.6) in Lira and 20.5% (CI95: 16.2–25.6) in Masaka. Mycoplasma hyopneumonia prevalence was 20.9% (CI95: 16.2–26.6) in Lira and 10.1% (CI95: 7.1–14.1) in Masaka, while Porcine parvovirus was 6.2% (CI95: 4.0–9.7) in Masaka and 3.4% (CI95: 1.7–6.6) in Lira. Less common pathogens were Influenza A, 8.5% (CI95: 5.6–12.8) in Lira and 2.0% (CI95: 0.9–4.5) in Masaka and Porcine Reproductive and Respiratory Syndrome Virus, 1.7% (CI95: 0.7–4.3) in Lira and 1.3% (CI95: 0.5–3.5) in Masaka. Even less common was Rotavirus A with 0.8% (CI95: 0.2–3.0) in Lira and 0.7% (CI95: 0.2–2.5) in Masaka; the same was for Aujeszky virus with 0.4% (CI95: 0.7–2.4) in Lira and 0.0% (CI95: 0.0-0.1) in Masaka. Co-infection with two pathogens was common and there was a significant association of M. hyo and PCV2 co-occurrence (p = 0.016). Multivariate analysis showed that for S. suis the use of disinfectant reduced odds of sero-positivitey (OR = 0.15; p = 0.017) and pigs less than 6 months were more likely to be infected than older pigs (OR = 3.35; p = 0.047). For M. hyo, crossbred pigs had higher odd of infection compared to local breeds (OR = 1.59; p < 0.001). ConclusionsThe studied pathogens have high prevalences in smallholder pig production systems and might be silent killers, thus affecting productivity and there is a possibility that some pathogens could spread to humans. Given the limited knowledge of veterinary workers and the poor diagnostic capacities and capabilities in these systems, the diseases are potentially usually under-diagnosed. These findings constitute baseline data to measure the impact of future interventions aiming to reduce disease burden in the pig production systems in Uganda.

Oestrus synchronization with fixed-time artificial insemination in smallholder pig production systems in north-east India: Success rate and benefits

Pig production is an important component of the farming systems that are practised in the north-eastern region of India and it has special significance for improving the socio-economic status of tribal farmers in the region. In an effort to optimize the production efficiency of rural pig production systems, the potential influence of oestrus synchronization and fixed-time artificial insemination (AI) on synchronizing husbandry programmes was investigated. A total of 117 crossbred sows, selected from various village production units, were randomly allocated to two (control and treatment) groups. The sows in the treatment group (n = 81) received 800 IU of equine chorionic gonadotropin (eCG), followed by 500 IU of human chorionic gonadotropin (hCG) 72 hours after the eCG injection. The sows in the control group (n = 36) served as the untreated control. The onset of oestrus, oestrus signs, oestrus intensity, and duration of oestrus were observed after treatment. The oestrus sows were inseminated twice at 24 h and 36 h, respectively, after hCG injection at various village production units. Results revealed that 86.4% of sows in the treatment group exhibited all the behavioural and physical signs of oestrus. The average interval between treatment and onset of oestrus was 84.8 ± 2.43 hours. The mean oestrus intensity of sows in the treatment group was 2.3 (when assessed on a scale of 1 to 3), which did not differ significantly from the oestrus intensity exhibited by the control group. The duration of oestrus varied from 36 to 56 hours in the treated sows, which was significantly longer when compared with the duration of oestrus in the control group. The study obtained a farrowing rate of 82.6% and litter size of 9.2 ± 0.32 after oestrus synchronization with timed insemination. Oestrus synchronization facilitated the insemination of a batch of sows at particular locations covering two to three village clusters, which drastically reduced the transport costs for the semen. Oestrus synchronization facilitated the effective implementation of AI by coordinating the insemination of batches of sows, thus reducing shipping and insemination costs. Improving heat detection contributed to shortening the weaning to oestrous interval in smallholder pig production system, which in turn decreased production costs. ______________________________________________________________________________________ Keywords : Assisted reproduction, farrrowing rate, insemination cost, reproduction efficiency

Risk factors, perceptions and practices associated with Taenia solium cysticercosis and its control in the smallholder pig production systems in Uganda: a cross-sectional survey

BackgroundPrevalence studies report Taenia solium cysticercosis in pig and human populations in Uganda. However, the factors influencing occurrence in smallholder pig production systems are not well documented and little is known about farmers’ perceptions of T. solium cysticercosis or farmer practices that could reduce transmission.MethodsTo determine the risk factors, perceptions and practices regarding T. solium cysticercosis, a household survey using a semi-structured questionnaire was conducted in 1185 households in the rural and urban pig production systems in Masaka, Mukono and Kamuli Districts. Logistic regression was used to measure associations of risk factors with infection. Performance scores were calculated to summarise perceptions and practices of farmers regarding taeniosis, human cysticercosis and porcine cysticercosis as well as farmer behavior related to control or breaking transmission.ResultsPig breed type, farmers’ knowledge about transmission, sources of water used, and pig keeping homes where family members were unable to use the latrine were all significantly associated with T. solium cysticercosis in pigs. Performance scores indicated that farmers were more aware of taeniosis (63.0%; 95% Confidence Interval 60.0-65.8) than human or porcine cysticercosis; only three farmers (0.3%, 95% CI = 0.1–0.8) had knowledge on all three conditions. More farmers reported that they dewormed pigs (94.1%) than reported deworming themselves and their family members (62.0%). Albendazole was the most commonly used drug for deworming both pigs and humans (85.0 and 81.5% respectively). Just over half (54.6%) of the farmers interviewed had clean water near the latrines for washing hands. Of these, only 41.9% used water with soap to wash hands after latrine use.ConclusionFactors that significantly influenced occurrence of T. solium cysticercosis in pigs were identified. Farmers had some knowledge about the disease but did not link taeniosis, human cysticercosis, and porcine cysticercosis. Therefore, there is need to employ strategies that raise awareness and interrupt transmission.

Risk Factors for African Swine Fever in Smallholder Pig Production Systems in Uganda.

Smallholder pig production in Uganda is constrained by poor management and high disease burden, with African swine fever (ASF) being one of the most important contributors. However, data to develop appropriate evidence-based disease mitigating interventions along the pig value chain are lacking. This study aimed at determining risk factors associated with the occurrence of outbreaks of ASF in selected districts. A cross-sectional survey of 1195 pig-keeping households in three districts was carried out between April and July 2013. Households were classified into one of three value chain domains (VCDs) based on where the production was located and where most of the products were sold: rural-rural (R-R), rural-urban (R-U) and urban-urban (U-U). Findings revealed that crop farming is the most common primary activity in the R-R and R-U VCDs, while pig keeping was the most common primary activity in the U-U VCDs. Pigs are mostly kept tethered or left to roam in the R-R and R-U VCDs, while in the U-U VCDs, they are mostly confined in corrals. Nearly 20% of the farmers whose farms were hit by an ASF outbreak subsequently sold all their pigs (healthy and sick) to the market in panic. Factors that positively correlated with recent ASF outbreaks were prompt disposal of dead pigs on farms (P<0.001, OR=2.3), wild animals present in the village (P<0.001, OR=1.7) and farmers sourcing drugs from stockists (P<0.001, OR=1.6); while protective factors were the presence of perimeter fences (P=0.03, OR=0.5), attendance of farmers at secondary-school level and above (P<0.001, OR=0.6), routine cleaning of the pig pens (P<0.001, OR=0.6) and pigs being the only livestock kept by farmer (P=0.01, OR=0.7). Given the current situation, there is a need to raise awareness among farmers and other value chain actors of biosecurity measures and create incentives for farmers to report ASF cases.

A description of smallholder pig production systems in eastern Indonesia

Pig farming is a common practice among smallholder farmers in Nusa Tenggara Timur province (NTT), eastern Indonesia. To understand their production systems a survey of smallholder pig farmers was conducted. Eighteen villages were randomly selected across West Timor, Flores and Sumba islands, and 289 pig farmers were interviewed. Information on pig management, biosecurity practices, pig movements and knowledge of pig health and disease, specifically classical swine fever was collected. The mean number of pigs per herd was 5.0 (not including piglets), and total marketable herd size (pigs≥two months of age) did not differ significantly between islands (P=0.215). Chickens (71%) and dogs (62%) were the most commonly kept animal species in addition to pigs. Pigs were mainly kept as a secondary income source (69%) and 83% of farmers owned at least one sow. Seventy-four percent (74%) of pigs were housed in a kandang (small bamboo pen) and 25% were tethered. Pig feeds were primarily locally sourced agricultural products (93%). The majority of farmers had no knowledge of classical swine fever (91%) and biosecurity practices were minimal. Forty-five percent (45%) reported to consuming a pig when it died and 74% failed to report cases of sick or dead pigs to appropriate authorities. Sixty-five percent (65%) of farmers reported that a veterinarian or animal health worker had never visited their village. Backyard slaughter was common practice (55%), with meat mainly used for home consumption (89%). Most (73%) farmers purchased pigs in order to raise the animal on their farm with 36% purchasing at least one pig within the last year. Predominantly fattener pigs (34%) were given as gifts for celebratory events, most commonly for funerals (32%), traditional ceremonies (27%) and marriages (10%). For improved productivity of this traditional low-input system, research incorporating farming training and improved knowledge on pig disease and biosecurity needs to be integrated with greater access to extension services.

Breeding objectives for pigs in Kenya. II: economic values incorporating risks in different smallholder production systems.

This study estimated economic values for production traits (dressing percentage (DP), %; live weight for growers (LWg), kg; live weight for sows (LWs), kg) and functional traits (feed intake for growers (FEEDg), feed intake for sow (FEEDs), preweaning survival rate (PrSR), %; postweaning survival (PoSR), %; sow survival rate (SoSR), %, total number of piglets born (TNB) and farrowing interval (FI), days) under different smallholder pig production systems in Kenya. Economic values were estimated considering two production circumstances: fixed-herd and fixed-feed. Under the fixed-herd scenario, economic values were estimated assuming a situation where the herd cannot be increased due to other constraints apart from feed resources. The fixed-feed input scenario assumed that the herd size is restricted by limitation of feed resources available. In addition to the tradition profit model, a risk-rated bio-economic model was used to derive risk-rated economic values. This model accounted for imperfect knowledge concerning risk attitude of farmers and variance of input and output prices. Positive economic values obtained for traits DP, LWg, LWs, PoSR, PrSR, SoSR and TNB indicate that targeting them in improvement would positively impact profitability in pig breeding programmes. Under the fixed-feed basis, the risk-rated economic values for DP, LWg, LWs and SoSR were similar to those obtained under the fixed-herd situation. Accounting for risks in the EVs did not yield errors greater than ±50% in all the production systems and basis of evaluation meaning there would be relatively little effect on the real genetic gain of a selection index. Therefore, both traditional and risk-rated models can be satisfactorily used to predict profitability in pig breeding programmes.

Breeding objectives for pigs in Kenya. I: bio-economic model development and application to smallholder production systems.

A deterministic bio-economic model was developed and applied to evaluate biological and economic variables that characterize smallholder pig production systems in Kenya. Two pig production systems were considered namely, semi-intensive (SI) and extensive (EX). The input variables were categorized into biological variables including production and functional traits, nutritional variables, management variables and economic variables. The model factored the various sow physiological systems including gestation, farrowing, lactation, growth and development. The model was developed to evaluate a farrow to finish operation, but the results were customized to account for a farrow to weaner operation for a comparative analysis. The operations were defined as semi-intensive farrow to finish (SIFF), semi-intensive farrow to weaner (SIFW), extensive farrow to finish (EXFF) and extensive farrow to weaner (EXFW). In SI, the profits were the highest at KES. 74,268.20 per sow per year for SIFF against KES. 4026.12 for SIFW. The corresponding profits for EX were KES. 925.25 and KES. 626.73. Feed costs contributed the major part of the total costs accounting for 67.0, 50.7, 60.5 and 44.5% in the SIFF, SIFW, EXFF and EXFW operations, respectively. The bio-economic model developed could be extended with modifications for use in deriving economic values for breeding goal traits for pigs under smallholder production systems in other parts of the tropics.

Participatory assessment of animal health and husbandry practices in smallholder pig production systems in three high poverty districts in Uganda

While animal health constraints have been identified as a major limiting factor in smallholder pig production in Uganda, researchers and policy makers lack information on the relative incidence of diseases and their impacts on pig production. This study aimed to assess animal health and management practices, constraints and opportunities for intervention in smallholder pig value chains in three high poverty districts of Uganda. Semi-qualitative interview checklists through Focus Group Discussions (FGDs) were administered to 340 pig farmers in 35 villages in Masaka, Kamuli and Mukono districts. Quantitative data was obtained during the exercise through group consensus. Results of FGDs were further triangulated with secondary data and information obtained from key informant interviews. Findings show that pig keeping systems are dominated by tethering and scavenging in rural areas. In peri-urban and urban areas, intensive production systems are more practiced, with pigs confined in pens. The main constraints identified by farmers include high disease burden such as African swine fever (ASF) and parasites, poor housing and feeding practices, poor veterinary services, ineffective drugs and a general lack of knowledge on piggery management. According to farmers, ASF is the primary cause of pig mortality with epidemics occurring mainly during the dry season. Worms and ectoparasites namely; mange, lice and flies are endemic leading to stunted growth which reduces the market value of pigs. Diarrhoea and malnutrition are common in piglets. Ninety-three percent of farmers say they practice deworming, 37% practice ectoparasite spraying and 77% castrate their boars. Indigenous curative treatments include the application of human urine and concoctions of local herbs for ASF control and use of old engine oil or tobacco extracts to control ectoparasites. There is a need for better technical services to assist farmers with these problems.

Prevalence of porcine cysticercosis and associated risk factors in smallholder pig production systems in Mbeya region, southern highlands of Tanzania

Porcine cysticercosis (PC) caused by the larval stage of a zoonotic tapeworm Taenia solium, is known to pose serious economic losses and public health risk among smallholder pig production communities. The present study was conducted to determine prevalence and associated risk factors for PC in smallholder pig production systems in Mbeya region, the major pig rearing region of Tanzania. A cross-sectional survey employing a random sample of 300 pig keepers from 30 villages of Mbozi and Mbeya Rural districts, Mbeya region were used to evaluate pig production systems and practices. Concurrently, 600 male and female pigs of different age categories were randomly selected and examined for PC using lingual examination method and antigen enzyme-linked immunosorbent assay (Ag-ELISA). The overall pig level PC prevalence in Mbozi district was 11.7% (95% CI=8.5–15.8%) and 32% (95% CI: 27–37.5%) based on lingual examination and Ag-ELISA, respectively. In Mbeya Rural district, the prevalences were 6% (95% CI: 3.8–9.3%) and 30.7% (95% CI: 25.8–36.1%) by lingual examination and Ag-ELISA, respectively. In Mbozi district 46% of the households were found infected (one or more infected pigs) and the corresponding figure was 45% for Mbeya Rural district. The agreement between lingual examination and Ag-ELISA was poor (κ<0.40). There were no significant differences in the prevalence of PC in different sex categories of pigs. Significant risk factors associated with PC prevalence were free roaming of pigs (OR=2.1; 95% CI=1.3–3.6; p=0.006), past experience of porcine cysticercosis in the household (OR=2.6; 95% CI=1.5–4.8; p=0.002), increased age of pig (OR=1.9; 95% CI=1.2–3.0), slatted raised floor in pig pen (OR=8.4; 95% CI=1.0–70.0), in-house origin of the pig (OR=1.6; 95% CI=1.1–2.5) and sourcing of water from rivers (OR=3.1; 95% CI=1.6–6.3; p<0.001) and ponds (OR=5.0; 95% CI=1.2–21.7; p=0.031). This study has clearly revealed a high sero-prevalence of PC in the study area, which imposes a major economical and public health burden to the smallholder pig farmers. The study also points to a number of important risk factors in smallholder pig management that may be addressed (e.g. confinement, quality of pens and water sources) in future interventions and educational campaigns for control of T. solium.

Characterization of smallholder pig production system: productive and reproductive performances of local and crossbred pigs in Sikkim Himalayan region

The present study was conducted to know the smallholder pig production system in tribal areas of Sikkim State, India. Two hundred tribal farmers were selected randomly from the North and East District of the state. Information on socio-economic characteristics of farmers (gender, occupation, educational status, and farming experience), management practices, disease prevalence, and economics in pig production was collected. The study recorded the mean land holding as 1.2 ± 0.8 ha, and the number of pigs per farm was 5.0 ± 0.28. Pigs were mainly kept as a source of income, and 70 % of farmers reared crossbreed pigs. Ninety percent (90 %) of respondents practiced the intensive system of management whereby kitchen wastes along with cooked mixture comprising maize bhusa, mustard oil cake, pseudostem of banana, tuber, stem, and plant leaves were used to feed their animals. About 40.5 % of farmers procured their breeding stock from government farms that had good records and utilized veterinary services like timely vaccination and deworming. The diseases prevalent in the study area were swine fever, diarrhea, helminthoses, sarcoptic mange, pneumonia, etc. The litter sizes at birth (local, 4.3 ± 0.45; crossbreed, 7.2 ± 0.33), at weaning (local, 2.79 ± 0.24; crossbreed, 6.1 ± 0.21), and age at first farrowing (local, 365.39 ± 7.96 days; crossbreed, 337.24 ± 8.79 days) were recorded. Production costs of meat extracted from local and crossbred pigs were 1.08 $/kg and 0.86 $/kg, respectively.