Breeding programmes described as community-based (CBBP) typically relate to low-input systems with farmers having a common interest to improve and share their genetic resources. CBBPs are more frequent with keepers of small ruminants, in particular smallholders of local breeds, than with cattle, pigs or chickens with which farmers may have easier access to alternative programmes. Constraints that limit the adoption of conventional breeding technologies in low-input systems cover a range of organizational and technical aspects. The analysis of 8 CBBPs located in countries of Latin-America, Africa and Asia highlights the importance of bottom-up approaches and involvement of local institutions in the planning and implementation stages. The analysis also reveals a high dependence of these programmes on organizational, technical and financial support. Completely self-sustained CBBPs seem to be difficult to realize. There is a need to implement and document formal socio-economic evaluations of CBBPs to provide governments and other development agencies with the information necessary for creating sustainable CBBPs at larger scales.
Based on the results of participatory approaches to define traits in the breeding objectives, four scenarios of ram selection and ram use were compared via deterministic modelling of breeding plans for community-based sheep breeding programmes in four diverse agro-ecological regions of Ethiopia. The regions (and production systems) were Afar (pastoral/agro-pastoral), Bonga and Horro (both mixed crop-livestock) and Menz (sheep-barley). The schemes or scenarios differed in terms of selection intensity and duration of ram use. The predicted genetic gains per year in yearling weight (kilograms) were comparable across the schemes but differed among the breeds and ranged from 0.399 to 0.440 in Afar, 0.813 to 0.894 in Bonga, 0.850 to 0.940 in Horro, and 0.616 to 0.699 in Menz. The genetic gains per year in number of lambs born per ewe bred ranged from 0.009 to 0.010 in both Bonga and Horro. The predicted genetic gain in the proportion of lambs weaned per ewe joined was nearly comparable in all breeds ranging from 0.008 to 0.011. The genetic gain per year in milk yield of Afar breed was in the order of 0.018 to 0.020 kg, while the genetic gain per generation for greasy fleece weight (kg) ranged from 0.016 to 0.024 in Menz. Generally, strong selection and shorter duration of ram use for breeding were the preferred options. The expected genetic gains are satisfactory but largely rely on accurate and continuous pedigree and performance recording.
A survey was conducted to study the morphological characteristics of indigenous goats in representative zones and districts of Amhara Region of Ethiopia as a first step towards characterization and designing of breeding programs. A pre-tested questionnaire was used for recording morphological features, body weights and linear body measurements. Both qualitative and quantitative traits were recorded on 158 goats randomly sampled from six goat populations and the data were analyzed using GenStat version 13 software. Live body weights were also associated and predicted using linear body measurements. Results confirmed that six distinct indigenous goat populations were identified and characterized in the region viz. Gumuz, Begia-Medir, Agew, Bati, Central Abergelle and Abergelle. There were clear morphological variations between and within these goat ecotypes in terms of body coat color, head profile, horn orientation, ear form and head shape. The Ethiopian goat ecotypes found in Amhara Region of Ethiopia could be clustered into two main groups viz. Gumuz, Agew and Begia-Medir cluster as one group and Bati, Abergelle and Central Abergelle as the second group. The high variations observed in the morphological traits suggest that these goat ecotypes have not yet been selected through structured selective breeding. The high correlation coefficients of heart girth with body weight for west (r = 0.899) and east (r = 0.832) Amhara Region goat populations demonstrated a strong relationship between these variables with regression equations of y = 1.273x -61.329, R² = 0.807 and y = 0.486 x -5.798, R² = 0.095, respectively, which allows for predicting live weight from heart girth in these goats. In general, the observed morphological characteristics of the goats' genetic resources in Amhara region together with the characterization at molecular level will contribute to designing of improvement strategies for these goat populations, which will need to be complemented with performance data.
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