This study aimed at better understanding of the characteristics of feeding and breeding practices smallholder farmers adopt in intensifying their dairy production. Use of hired labour for fodder gathering, growing of fodder crops and purchase of feeds increased with increasing intensification, but Bos taurus breeds did not respond to increasing feeding intensification while Bos indicus cattle responded, calving at earlier age and yielding more milk. Overall, first calving occurred at 32 months, but days open prolonged to 250 days with milk yield of 4 litres per day of calving interval. A principal component analysis extracted six feeding and breeding components, explaining 71.79% of the total variations in feeding and breeding practices for dairy intensification. The six components were labelled: non-intensified feeding and breeding; breeding decisions based-intensification; high external resource based-intensification; moderate resource based-intensification; resource poor based-intensification; and moderate external resource based-intensification. These characteristics points to some 'evolutionary process' of intensification involving feeding and breeding decisions, depending on the risk-bearing capacity of the household. Intensification enhancing interventions for smallholders need be considered in the context of the household economy. Interventions on feeding and breeding have to be packaged together holistically if intensification is to enhance productivity. A selective intervention on only one of these is associated with low productivity levels, only contributing to sustaining family subsistence livelihoods.

his study evaluated alternative breeding objectives and schemes for crossbred goats in a village/ community breeding program. A single-tier breeding structure was assumed in the optimisation of this breeding program. Considered were two selection schemes; within-group (WG) and across-groups (AG), and three alternative selection objectives; ALT I- defined based on relative weights (RWs) derived from producers’ preferences, ALT II- based on economic values (EVs) without risk and ALT III- based on risk-rated EVs, at different intensities of buck selection (proportion of bucks selected, P = 0.02 and 0.04) and selection criteria (mass and BLUP). The genetic gains (ΔG) in the breeding-objective traits, aggregate responses (RH), total economic response (TER) and the rate of inbreeding (ΔF) per generation varied depending on the scenarios ALT I, II and III, P and the selection criteria. A selection index considering ALT III (Risk-rated EVs) in derivation of ΔG for individual traits, RH and TER, and ΔF would be appropriate and optimal in both WG and AG selection schemes. However, these responses were higher in the AG scheme compared to the WG selection scheme, and the ΔF more favourable with increase in the number of groups co-operating. Responses under mass selection were also comparable to BLUP with the same rate of inbreeding, restricted to an acceptable level of 0.01. These imply that an AG selection scheme under mass selection would be optimal and logical for implementation in the smallholder low-input goat production systems. However, a minimum of 14 co-operating farmer groups would be required to produce considerable levels of responses and at acceptable levels of inbreeding.

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.

The study was conducted to evaluate the productive and reproductive performance of Central Highland and Woyto-Guji goat breeds in Meta-Robi and Konso districts, respectively. A total of 240 farmers were interviewed using semi-structured questionnaires to describe kidding pattern, kidding interval, weaning age and milk production. On-farm performance traits were recorded on 730 goats of 157 households. In Konso, majority of kidding occurred in May, whereas in Meta-Robi it was in September. There was a difference in the average kidding interval and age at weaning between the breeds. Kids birth weight (2.03 Vs. 2.68kg) and does postpartum weight (26.6 Vs. 28.2kg) were lower in Woyto-Guji goats than in Central Highland goats. Average 90 day kids' weight and average daily weight gain between birth and 90 days were not different among the breeds. Average 180 day weight (15.7 Vs. 11.5kg) and average daily weight gain between 91 and 180 days (65.4 Vs. 31.9 g/day) were better in Central Highland goats than in Woyto-Guji goats.

This study was conducted in the rural kebeles around Dire Dawa for designing a simple, yet, feasible breeding scheme in the context of community-based management of animal genetic resources. Range of participatory rural appraisal tools, including focal group discussions and participatory mappings, were employed to study the local community’s Indigenous knowledge and practices in managing the goat gene pool. The breeding objective and local trait preferences were defined in a participatory manner through own-flock ranking experiments. The community generally practices selective pure breeding where by the own flock and flocks in the neighbourhood were the units of selection for bucks. There are social regulations in the community against sale of breeding does outside the community while encouraging communal use of outstanding breeding males. Goats are kept for multifaceted purposes ranging from products like milk, meat and live-sale to functions in socio-cultural, financial and ritual state of affairs. The breeding objective is to ensure improved milk production, through increased daily yield per doe and increased fertility per flock, and increased net income per flock, through increased number of marketable animals. Traditional criteria such as conformation, behaviour and adaptation were as important as most “production” traits in selecting breeding animals. The breeding goal traits considered were, accordingly, milk production, conformation and reproductive traits. Based on these findings, village breeding schemes, where-by flocks and breeding groups in a village are taken as focal points, is recommended as way forward in genetic improvement. The framework for a feasible implementation of such genetic improvement scheme is outlined based on the rationale of utilizing available social regulations, indigenous knowledge and traditional systems of breeding as well as future market prospects.

The data on chemical composition of groundwater in the boreholes installed in the fields of a swine-breeding complex JSC Kontvainiai irrigated by liquid manure and in the production territory are presented in the article. This complex is situated on the Lithuanian coast, southeast of Klaipeda district. The data covers the period 2001-2005. It was established that the chemical composition of groundwater depends mainly on the soil. Ion sum was 2 times higher in the water of the well which was installed in the soil having a peat layer. The chemical composition of groundwater depended as well on its movement direction. As groundwater moves to the southeast, south and southwest from the fertilized area, the mineralization of water in wells 1 and 4 was the highest – 699 and 728 mg lE-1, respectively.