| Literature DB >> 34164447 |
Dolapo Enahoro1, Alessandra Galiè2, Yakubu Abukari3, Gaspar H Chiwanga4, Terra R Kelly5, Judith Kahamba6, Fatihiya A Massawe7, Fausta Mapunda7, Humphrey Jumba2, Christoph Weber2, Michel Dione8, Boniface Kayang9, Emily Ouma10.
Abstract
Village chicken production holds much potential for the alleviation of malnutrition and poverty in rural communities in Africa. Owing to their subsistence nature, however, such systems are rife with infectious poultry diseases such as Newcastle disease (ND). Strategies common for the management of ND and other poultry diseases in intensive production systems, including vaccination and biosecurity measures, have seen limited success in the village production systems. New approaches are needed that can successfully deliver animal health inputs and services for the effective management of poultry health challenges in low-input systems. Our study utilized focus group discussions with men and women farmers as well as other poultry value chain actors such as input suppliers, live bird traders and processed poultry meat retailers, to investigate potential options for delivery of animal health care to village poultry systems in northern Ghana and central Tanzania. ND was commonly reported as a major disease constraint in the study sites of the two countries, with resulting fatalities particularly impactful on men and women producers and on traders. We therefore also conducted interviews that focused specifically on the gender component of village chicken production. The key health related challenges prioritized by women and men participants included limited access to, and poor quality of, vaccines and veterinary drugs, a shortage of veterinary officers, and insufficient knowledge and training of farmers on flock management practices. Women, more than men, emphasized the difficulties of accessing poultry health services. Our assessments suggest that for poultry health care delivery in the studied communities to be effective, there is need to improve the supply of good quality drugs and vaccines in rural areas, respond to the needs of both men and women, and recognize the different incentives for farmers, traders and other value chain actors. Community-based approaches and increased use of ICT technology such as mobile phones have much to offer in this regard.Entities:
Keywords: focus group discussion; gender; newcastle disease; poultry; qualitative analysis; smallholder; value chain; veterinary service
Year: 2021 PMID: 34164447 PMCID: PMC8215278 DOI: 10.3389/fvets.2021.611357
Source DB: PubMed Journal: Front Vet Sci ISSN: 2297-1769
Figure 1Study sites in Tanzania.
Figure 2Study sites in Ghana.
Poultry value chain assessment sites.
| TANZANIA | Singida | Iramba | Old Kiomboi |
| Ulemo | |||
| Singida Rural | Mtinko | ||
| Ikhanoda | |||
| Dodoma | Kongwa | Sejeli/Mbande | |
| Kibaigwa | |||
| Chemba DC | Gwandi | ||
| Farkwa | |||
| GHANA | Northern | Kumbungu | Kumbungu |
| Gbullung | |||
| Savelugu | Diare | ||
| Savelugu | |||
| Upper East | Bolgatanga Municipal | Nyariga | |
| Kalbeo | |||
| Bawku West | Zebilla | ||
| Kukore |
Source: field work.
Breakdown of focus group participation by gender.
| Men | 71 | 58 |
| Women | 67 | 64 |
| Gender | ||
| Men | 100 | 115 |
| Women | 86 | 98 |
| Value chain | ||
| Men | 104 | 92 |
| Women | 66 | 55 |
| Total | 494 | 482 |
Men and women groups were interviewed separately in the gender FGDs.
Source: Field work.
Socio-economic make up of focus group participants in Ghana.
| Total #Participants | 15 | 15 | 12 | 9 | 12 | 11 | 7 | 17 |
| #Primary education or higher | 3 | 3 | 1 | 1 | 1 | 5 | 2 | 4 |
| Median age | 35 | 42 | 45 | 52 | 55 | 34 | 36 | 40 |
| Median flock size | 16 | 17 | 23 | 40 | 13 | 11 | 25 | 12 |
| Total #Participants | 15 | 12 | 15 | 15 | 15 | 12 | 17 | 14 |
| #Primary education or higher | 9 | 5 | 1 | 6 | 2 | 2 | 5 | 5 |
| Median age | 32 | 38 | 39 | 40 | n/a | 43 | 46 | 34 |
| Median flock size | 27 | 68 | 30 | 40 | n/a | 48 | 27 | 45 |
| #Participants | 15 | 15 | 15 | 16 | 15 | 15 | 15 | 17 |
| Median age | 30 | 30 | 45 | 35 | 50 | 40 | 43 | 42 |
Data presented are for farmer-focused groups only. Data from mixed occupation value chain FGDs are not included.
Data on median flock size is missing for the mixed farmer groups in Ghana.
Source: Field work.
Socio-economic make up of focus group participants in Tanzania.
| Total #Participants | 14 | 13 | 10 | 11 | 10 | 10 | 10 | 10 |
| #Primary education or higher | 14 | 13 | 10 | 11 | 10 | 9 | 10 | 10 |
| Median age | 42 | 46 | 42 | 38 | 40 | 29 | 44 | 39 |
| Median flock size | 15 | 10 | 8 | 10 | 11 | 11 | 9 | 8 |
| Total #Participants | 13 | 14 | 10 | 11 | 11 | 15 | 12 | 13 |
| #Primary education or higher | 12 | 14 | 10 | 11 | 10 | 15 | 12 | 13 |
| Median age | 53 | 42 | 28 | 36 | 35 | 29 | 46 | 38 |
| Median flock size | 15 | 17 | 23 | 10 | 30 | 11 | 16 | 10 |
| #Participants | 16 | 18 | 14 | 21 | 15 | 21 | 18 | 14 |
| Median age | 48 | 41 | 32 | 44 | 40 | 44 | 42 | 40 |
| Median flock size | 17 | 14 | 11 | 22 | 11 | 15 | 10 | 11 |
Data presented are for farmer-focused groups only. Data from mixed occupation value chain FGDs are not included.
Source: Field work.