Sokoine University of Agriculture

Economic viability of newly introduced chicken strains at village level in Tanzania: FARMSIM model simulation approach

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dc.contributor.author Makindara, Jeremia
dc.contributor.author Andrew, Rogers
dc.contributor.author Mbaga, Said H
dc.contributor.author Alphonce, Roselyne
dc.date.accessioned 2021-08-05T09:24:07Z
dc.date.available 2021-08-05T09:24:07Z
dc.date.issued 2019
dc.identifier.uri http://www.suaire.sua.ac.tz/handle/123456789/3828
dc.description Journal Article en_US
dc.description.abstract A local chicken farming is an integral part of Tanzania's rural economy. However, despite its contributions to household economy and food security, local chicken productivity remains low because of low genetic potential, diseases and poor feeding. One of the options to increase local chicken productivity is the adoption of the chicken strains with high genetic potential. With that respect, Africa Genetic Gain project introduced Sasso and Kuroiler chicken strains for on-farm test purposes. Developmental design involved provision of 25 six weeks old chicks to 20 farmers in 12 sites making a total of 240 farmers in three regions. The study was carried out in Dodoma, Morogoro and Njombe regions to assess the effects of agro-ecological differences in the performance of these strains. The chicks were vaccinated against Mareks and Newcastle diseases at the hatchery; then against Infectious Bronchitis (IB) at 0, 7 10, 16 and 21 days. The Newcastle Disease vaccine was repeated after 10 and 21 days using LaSota vaccine. After 6 weeks, the chicks were again vaccinated against fowl pox ready for supply to farmers. A farm Simulation Model (FARMSIM) and Stochastic Efficiency with Respect to Function (SERF) were applied to access economic viability of these strains relative to local chickens. FARMSIM is a Monte Carlo Simulation Model that simultaneously evaluates a baseline and an alternative farming technology. To simulate using FARMSIM, Simulation and Econometrics to Analyse Risk (Simetar©), an excel add-in is needed as a simulating engine. Data were obtained through survey, farmers' records and simulation exercises. The results indicate that keeping Sasso strain was the most economically viable with the highest Net Present Value, Net Cash Farm Income and the highest probability of attaining economic return. Kuroiler was the second, followed by keeping local chickens without supplement and local chicken with supplement was the least economically viable enterprise. However, inclusion of risk behaviour revealed that extremely risk-averse farmers preferred mostly keeping local chickens without supplement whereas extremely risk loving farmers preferred the most Sasso strain. It is recommended that the introduced chicken strains should be promoted to increase household income and improve people's livelihoods. However, scaling up of the introduced chicken strains must be integrated with education on technical know-how for good farming practices, feed formulations, medication and shelter for improved productivity and reduced variability. en_US
dc.language.iso en en_US
dc.publisher ELSEVIER en_US
dc.subject Economic viability en_US
dc.subject FARMSIM en_US
dc.subject SERF en_US
dc.subject Simetar en_US
dc.subject Introduced chicken strains en_US
dc.title Economic viability of newly introduced chicken strains at village level in Tanzania: FARMSIM model simulation approach en_US
dc.type Article en_US
dc.url https://doi.org/10.1016/j.agsy.2019.102655 en_US


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