This paper illustrates the Small Stock Innovation Platform, an initiative which is one of the key tangible outcomes of the Strengthening Capacity in Agricultural Research for Development in Africa (SCARDA) program, focused on strengthening capacity in agricultural research systems in selected countries and institutions in all three sub-regions of Sub Saharan Africa.
This review paper responds to the following questions: 1) can existing adaptation options confer useful responses to various degrees of climate change; 2) have certified coffee programs already implemented adaption options; 3) what (additional) implementation steps are required to adapt coffee production to climate change; and 4) which social-institutional changes are additionally required to enable smallholders to adapt to climate change at farm and landscape scales.
Innovation learning platforms have their roots in the agricultural innovation systems (AIS) approach. AIS emphasizes a systems view of agricultural innovations and conceptualizes an innovation system as all individuals and organizations that keep on interacting in producing and using knowledge and the institutional context of knowledge sharing and learning. Research creates knowledge and technology; but innovation process goes further to include putting that knowledge into use.
From 4 June to 1 July 2012, the UN Food and Agriculture Organization (FAO) hosted a moderated email conference on "Ensuring the full participation of family farmers in agricultural innovation systems: Key issues and case studies". It was a highly successful global dialogue, with a very stimulating discussion. About 560 people subscribed to the conference, of whom 114 people (20% of the total), from nearly 50 different countries, wrote at least one of the 242 messages that were posted.
The organization of the Nutrition Innovation Labs represents a novel model for focusing U.S.- supported research on food and nutrition issues in developing countries. Their aims are to discover how policy and program interventions can most effectively achieve large-scale improvements in maternal and child nutrition, particularly by leveraging agriculture and build human and institutional capacity for applied policy analysis, research and program implementation.
Cotton, a major crop worldwide, is harvested in mechanized production systems once at the end of the growing season. To facilitate harvest and maximize fiber quality, the plants are typically defoliated when about 60% of the cotton bolls are open. Due to non-uniform maturation, the bolls that have opened early expose their fiber to weather until harvest, commonly for weeks, degrading fiber quality. Furthermore, high capacity harvesting machines are heavy, potentially compacting the soil that in turn reduces hydraulic conductivity in the wheel tracks and reducing yield.
Water is a vital and scarce resource in agriculture and its optimal management is emerging as a key challenge. This paper presents an automated irrigation system to reduce water utilization in agriculture by combining the Internet of Things (IoT), cloud computing and optimization tools. The automated irrigation system deploys low cost sensors to sense variables of interest such as soil moisture, pH, soil type, and weather conditions. The data is stored in Thingspeak cloud service for monitoring and data-storage.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
This paper is a case study of capacity strengthening activities carried out at the Agricultural Research Corporation in Sudan between July 2008 and March 2011. These activities were undertaken through the project ‘Strengthening Capacity for Agricultural Research and Development (SCARDA)’ which was implemented in the East and Central Africa region by the Association for Strengthening Agricultural Research in East and Central Africa.