A study was carried out to determine farmers’ preferences for goat breeds, desired traits, management and breeding practices in agro-pastoral communities of central and eastern Tanzania. A total of 552 goat keepers from semi-arid and sub-humid areas were involved. Information on goat flock size, breed preferences, breeding practices, traits preferred and husbandry practices was collected using a well structured questionnaire. Out of the 552 household heads, only 21.3% were women. Most of the farmers kept indigenous goats belonging to the Small East African breed and the mean number of goats per household was 8.9 ± 1.0. The majority of the farmers (53.4%) preferred to keep the Small East African goat breed rather than the exotic breeds. The Small East African breed was preferred to exotic breeds because the animals are easier to feed, prolific, tolerant to drought and endemic diseases. Most farmers (70.8%) practiced uncontrolled mating using bucks from either their own flock (66.7%) or neighbours’ flocks (33.3%).Uncontrolled mating was preferred because it is easier to practice (41.2%) and cheaper (41.2%). The buck to doe ratio was 1:3 in semi-arid and 1:2 in sub-humid areas. Breeding males were selected based on body size by the majority (85%) of the goat farmers. It is concluded that livestock keepers in semi-arid and sub-humid areas in Tanzania prefer the Small East Africa goats because the animals are abundantly available and well adapted to the local environmental conditions.

This study was carried out to investigate the productivity and the natural disease resistance potential of free-ranging local chickens in Tanzania. A total of 84 adult free-ranging local chicken ecotypes were studied, namely: Mbeya, Morogoro-medium, Ching’wekwe, Kuchi and Singamagazi. Adult body weight, body length, shank length and egg weight were assessed and compared. Average body weight for hens and cocks was 1441g (800 to 2,300g) and 2261g (1000 to 3500g), respectively. Egg weight averaged 41.6g (27 to 72g). Mean body length for hens and cocks was 21.6cm (17 to 26cm) and 24.6cm (21 to 29cm), respectively, and mean shank length 9.7cm (7 to 12cm) and 12.7cm (8.5 to 15cm), respectively. Between ecotypes significant differences were seen in the above parameters. The disease resistance potential was tested on 10 offspring of each ecotype, excluding the Mbeya. Twenty chickens (five from each of the four ecotypes) aged 12 weeks were inoculated with Newcastle disease virus while another 20 aged 20 weeks were inoculated with Salmonella gallinarum. Five chickens per group that were not challenged were used as controls. Following oral, ocular and nasal drop inoculation with Newcastle disease virus, the chickens developed clinical signs of Newcastle disease as from day three after infection. Mortality started on day five after infection, and all but one chicken were dead by day seven after infection. The 20 chickens, infected orally with S. gallinarum, showed clinical signs of fowl typhoid on day three after infection. Mortalities started on day seven after infection and by day 12 after infection 13 chickens had died. Seven birds survived without visible signs of the disease, including all five from the Kuchi ecotype and one each of the Morogoro-medium and Ching’wekwe ecotypes. At necropsy enlarged and congested liver and spleen, and catarrhal enteritis of the small intestines were seen. The surviving birds were sacrificed on day 14 after infection. Neither the sacrificed surviving birds nor the controls showed the above necropsy picture. It was concluded that free-ranging local chicken ecotypes in Tanzania differ in both productivity and disease resistance potential.

A study was conducted to assess the productivity and reproductive performance of seven free-range local domestic fowl ecotypes in Tanzania named Ching'wekwe, Mbeya, Morogoro-medium, N'zenzegere, Pemba, Tanga and Unguja. Average weekly weight measurements and growth rates were evaluated for each ecotype and sex as was egg weight, fertility and hatchability. Significant differences existed between ecotypes in all the five parameters studied. Ching'wekwe showed consistently low mean weekly weights, daily growth rate and mean egg weight contrary to Morogoro-medium and Tanga ecotypes. Egg fertility was low with only N'zenzegere and Unguja ecotypes exceeding 75%. Hatchability was also low ranging from 55% (Ching'wekwe and Morogoro-medium) to 74% (Pemba). It was concluded that genetic and phenotypic diversity exists in the local domestic fowl ecotypes of Tanzania. The diversity constitutes a valuable resource for use in breeding programmes for improvement of the health and productivity of the local domestic fowls and in designing proper conservation strategies. Further studies are required to identify genetic markers associated with productivity and disease resistance within the local domestic fowl ecotypes. In depth studies on the performance of the Tanzanian medium ecotypes (Morogoro-medium and Tanga) is required to ascertain their suitability for promotion throughout the country.

GIS targeting, combining a range of different datasets including climate, topography, population, protected areas, road networks, agricultural production, and markets, is becoming an important tool in planning agricultural research for development. The impact of agricultural investments can be maximized by targeting them to areas where biophysical conditions are optimal for selected crops, and where population densities and market access maximize the economic possibilities. Targeting can be tailored to specific institutional requirements, for example, to emphasize improved nutrition or export-orientated cash crops.Tanzania is the fifth most populous country in Africa, with a very high percentage of its population dependent on agriculture. The incidence of poverty and child malnutrition is high, but large areas of potentially productive agricultural land are only partly developed. There is great scope for increased agricultural production through the introduction of improved crop varieties and novel farming systems, but these must be concentrated in the areas where they will have the greatest impact. Areas of cultivable land were identified by combining topographic data (slopes and altitude) with climate data (eliminating arid areas) and maps of protected areas (no farming in national parks). These were then further processed to remove those areas where predictions of climate change indicate a significant reduction in rainfall by 2025. Relative ease of access to markets (settlements with populations in excess of 20 000) was calculated using maps of land cover, road networks, and slope maps. A combination of cultivable land with ease of access to markets and medium-to-high population densities defines prime targets for agricultural development. For each target area, crop suitabilities were assessed, based on biophysical parameters.