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Poultry production and in particular indigenous chicken (IC) production has been recognised as an avenue to improve livelihoods of the rural households. Previous attempts to improve their productivity have had little success due to, among others, lack of a holistic approach in solving the constraints and dissemination of inappropriate technologies given the production circumstances and market dynamics. Marketing as a constraint is often blamed for the failure of interventions to improve livelihoods, despite lack of saturation for IC products at local and national levels and the increasing demand for the same. This paper highlights the past improvement attempts and suggests strategies to improve IC productivity and thereby improve the livelihood of the rural households which are the custodians of these genetic resources. It is concluded that there is potential for improvement of IC production in Kenya given the available genetic and physical resources. However, a holistic strategy that increases productivity without increasing production costs or leading to loss of biodiversity must be developed. Such a strategy must take into account the various uses of the IC in a rural household., Peer Reviewed

The majority of the Kenyan population resides in the rural areas and is characterised by low income and food insecurity leading to high levels of poverty. Poultry production and in particular indigenous chicken (IC) production play a significant role in the economic and social life of these resource-poor households, contributing to cheap source of animal proteins and cash income. Indigenous chickens are present whenever there are human settlements and their economic strength lies in their low cost of production which is a characteristic of the resource-poor rural households. They are highly adapted to the harsh scavenging conditions, poor nutrition and disease and/or parasite challenges. Their low productivity has hindered their exploitation. This paper highlights the current IC production circumstances with a view to identifying the major challenges which need to be addressed in order to improve the IC productivity and thereby improve the livelihood of the rural households who are the custodian of these genetic resources. It is concluded that the IC in Kenya posses high genetic diversity and are popular among the consumers. There is potential to improve IC productivity in Kenya and therefore individual and national efforts are required that takes into account the whole IC production value chain., Peer Reviewed

The objective of the present study was to determine the optimal culling strategy in relation to biological and economic efficiency (BE and EE, respectively) and annualized net revenue (AN) in the Japanese Black cow–calf production system with special reference to the beef quality of culled cows. The herd model focused on two ways of mating: one-mating trial system (ONE) and continuous-mating trial system (CON). ONE assumed that heifers that fail to conceive are culled and cows that fail to conceive are culled at weaning of their calves, while CON assumed that mating continues until all females theoretically conceive. Least square means of carcass data of Japanese Black cows collected from a cooperative farm in Japan were used to estimate the carcass price of a cow by parity and Beef Marbling Standard (BMS) number. The simulation, assuming the current production situation in Japan, indicated that sales of culled cows accounted for 0·10–0·20 of total sales and was an important element in total production. Comparisons between ONE and CON showed that production efficiency in the current situation is higher in CON. The BE, EE and AN were higher in CON than in ONE. The two economic indicators were less sensitive to changes in annual discount rate but highly sensitive to changes in female calf price and BMS number of cows, indicating the importance of considering fluctuations in calf price and potential quality of culled cows’ carcasses when estimating the economically optimal parity of culling. The three indicators derived different optimal solutions even in the same mating trial systems, stressing the importance of choice of production indicators when determining the culling strategy and evaluating animal production.

The objective of this study was to describe the lactation curve of dairy cattle in Kenya using a suitable lactation function in order to facilitate inclusion of partial lactations in national dairy cattle evaluation and to assess the effect of data characteristics on lactation curve parameters. Six functions were fitted to test day (TD) milk yield records from six parities of Ayrshire, Guernsey, Holstein Friesian, Jersey and Sahiwal cattle. Five datasets: DS-1 (12-TD dataset with randomly missing records), DS-2 (10-TD dataset without missing records), DS-3 (10-TD dataset with randomly missing records), DS-4 (7-TD dataset, with only TD 4 to 10 records) and DS-5 (7-TD dataset, with TD 1 to 4, 6, 8 and 10 records) depicting various recording circumstances were derived to assess the effects of data characteristics on lactation curves and to assess the feasibility of reducing the number of TD samples per lactation. The fit of the functions was evaluated using adjusted R2 and their predictive abilities were compared using mean square prediction error, percentage of squared bias and the correlation between the predicted and actual milk yield. These criteria plus the changes in the parameters of curve functions and their associated standard errors were used in determining the effects of data characteristics on lactation curves. The mechanistic functions of Dijkstra (DIJ) and Pollott (APOL), and the incomplete gamma function of Wood (WD) had the highest adjusted R2 > 0.75. The APOL function was eliminated due to convergence failures when analysis of individual lactations within breeds was carried out. Both DIJ and WD had good predictive ability, although DIJ performed slightly better. Convergence difficulties were noted in some DIJ analysis where data were limiting. Missing records, especially at the beginning of a lactation, greatly influenced parameters a and b of the functions. It also resulted in estimates with large standard errors. Missing records in later lactation ha, Peer Reviewed

This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively., Animal recording is an interactive process that involves several practices. The efficiency of the process is essential to ensure the utility of outcomes necessary for sustainable participation. Most evaluation approaches define efficiency in economic terms. Animal recording systems lack outputs of direct economic benefits; hence, efficiency evaluation based on utility derived from the records would be more laudable. In that case, a system is considered efficient when outcome-utility-dependent participation is sustained. Approaches for evaluating efficiency based on the utility of outputs are, however, unavailable. The current study presents an approach for evaluating the efficiency of animal recording based on output utility using the institutional analysis and development framework. The approach evaluates efficiency by incorporating institutional issues influencing the operations of the system and its outcomes. It considers animal recording as an action arena with various actors in three action situations, namely: animal identification and registration, pedigree and performance recording and animal evaluation and information utilization. The variables include the positions occupied by actors, their actions, the outcomes associated with the actions, the level of control over choice, available information and the cost and benefits of engagement. As an interactive process, animal recording has rules that order relationships between actors. It also exists within a biophysical system and community whose attributes, combined with the rules, influence the actions and outcomes of recording. These are evaluated by looking at rule formation structures, enforcement and compliance and the level of interaction between the recording system and other biophysical characteristics and the community for their effects on outcomes, their utility and sustainability of recording. Participatory tools, Stakeholder matrix and Venn diagrams are used to identify the variables, quantify their, Peer Reviewed