In November 2014, the FAO organized a training course, ‘Stockbreeding, Means of Subsistence and Nutrition’, in Dakar, Senegal, to train the technical staff of development agencies to better integrate nutrition into breeding and rearing programmes. The workshop addressed one of the current concerns in the Sahel and West Africa, which is to increase the impacts of nutrition in development projects and contribute more to reducing malnutrition and improving resilience. FAO has now published a report on this workshop, which includes training setup and materials. (GRET, 01/02/2015) Download the FAO report.
Measures of location and space obtained through geographical information systems (GIS) technology are increasingly being used in models of land use. The usefulness of integrating GIS measures into analysis of technology uptake is examined. A set of GIS-derived measures of market access and agro-climate are included in a standard household model of technology uptake, applied to smallholder dairy farms in Kenya, using a sample of 3330 geo-referenced farm households. The 3 technologies examined are keeping of dairy cattle, planting of specialized fodder, and use of concentrate feed. Logit estimations are conducted that differentiate effects of individual household characteristics from those related to location. The predicted values of the locational variables are then used to make spatial predictions of technology potential. Comparisons are made with estimations based only on survey data, which demonstrate that while overall explanatory power may not improve with GIS-derived variables, the latter yield more practical interpretations, which is further demonstrated through predictions of technology uptake change with a shift in infrastructure policy. Although requiring large geo-referenced data sets and high resolution GIS layers, the methodology has the potential to better unravel the multiple effects of location on farmer decisions on technology and land use. From abstract Elsevier Science Journal.