A New Paradigm in the Delivery of Modernizing Agricultural Technologies across Africa

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This Chapter describes the approach and impacts of the Technologies for African Agricultural Transformation (TAAT) Program. TAAT is an operational framework based upon collaboration between the African Development Bank, the International Institute of Tropical Agriculture, and many other partners. This Program is designed to deliver modernizing agricultural technologies as a means of achieving food and nutritional security, and to boost employment and agricultural exports across Africa. TAAT consists of nine Commodity Compacts that have assembled technology toolkits for use in development programs and six specialized Enablers that help them to do so. These commodities are rice, maize, wheat, sorghum, millet, cassava, sweet potato, common beans, fish, and small livestock. The Enablers provide policy support, youth empowerment, capacity development, irrigation and soil fertility expertise, and control of invasive pests. Together these Compacts and Enablers design and conduct collaborative agricultural development projects in partnership with national counterparts. To date, TAAT has staged 88 interventions in 31 African countries, including the incorporation of customized technology toolkits within country loan projects of major development banks. Over three years, these efforts have reached about 10.6 million adopter households and increased food supply by 12 million tons worth over US $763 million, resulting in substantial improvements in smallholder farmer’s food supply (0.75 MT yr.−1) or income ($128 yr.−1). Environmental gains in terms of carbon offset average 0.74 MT CO2e yr.−1 per adopter household, an outcome indicative of positive combined rural development and climate actions. This Chapter describes how these technology toolkits are designed, deployed and evaluated, and how TAAT is becoming a leading mechanism for agricultural innovation delivery across Africa. This evaluation is limited to eight critical field crops and does not consider animal enterprises or the strategic roles of TAAT Enablers, two other important activities within the larger Program.

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This catalogue describes a suite of farming solutions for drylands in the Sahel and Horn of Africa useful to climate change adaptation and mitigation. It is based upon the interventions of the Technologies for African Agricultural Transformation Program ( TAAT ). This program is led by the International Institute of Tropical Agriculture ( IITA ) that has pioneered new approaches for the deployment of proven technologies to African farmers. TAAT arose as a common effort of IITA and the African Development Bank (AfDB), and is an important component of the latter’s Feed Africa Strategy. TAAT is currently advancing over 76 technologies through 88 interventions in 28 countries including nine countries in the Sahelian agro-ecological zone: Burkina Faso, Chad, Mali, Mauritania, Niger, Senegal, South Sudan, Sudan and Ethiopia. Innovations brokered by TAAT and featured in this catalogue also extend to countries located in the Horn of Africa (Djibouti, Eritrea, Somalia and Somaliland) as an extension of the Sahel. This zone is hugely impacted by climate change in terms of intensified drought and extreme weather, and this catalogue combines TAAT technologies that are useful within climate action efforts, including those being organized by The African Development Bank. TAAT organized around 15 “Compacts” that represent priorities in terms of achieving Africa’s potential in achieving food security and advancing its role in global agricultural trade. Nine of these Compacts relate to specific priority value chains of rice, wheat, maize, sorghum and millet, cassava, sweet potato, bean, fish and small livestock. Weaknesses in the production of commodities are viewed as responsible for Africa’s food insecurity, need for excessive importation of food, and unrealized expansion of Africa’s food exports. This catalogue assists in the designing toolkits for rural development projects in African drylands and is intended for extension supervisors, project managers and investors. The Programme for Integrated Development and Adaptation to Climate Change in the Niger Basin (PIDACC) operates through the Niger River Authority to directly address climate change adaptation and livelihood improvement in Benin, Burkina Faso, Cameroon, Cote D’Ivoire, Guinea, Mali, Niger, Nigeria, and Chad. This catalogue was produced in part to contribute to its training efforts. Sahelian farmers that adopt and exchange improved crop varieties, proactively manage pest outbreaks, better utilize water resources, and maintain soil fertility are in a much stronger position to secure food and income for their families and participate in meaningful climate actions. Sustainable intensification of dryland agriculture generates mitigative effects by increased biomass productivity and standing carbon stocks leading to carbon sequestration in soil organic matter, actions that further avoid greenhouse gas emissions from fertilizers the Horn of Africa is an AfDB regional project to deploy proven climate-smart agriculture technologies in Djibouti, Ethiopia, Kenya, Somalia, South Sudan, and Sudan. This catalogue is intended to assist it to improve agro-sylvo-pastoral productivity and profits and enhance the adaptive capacity of the populations to better prepare for and manage climate risks. An important outcome of better managed and more productive lands is to reduce human conflicts in some of its countries. TAAT partners with the Horn of Africa to provide technical backstopping.

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Progeny Studies and Genotype X Environment Interactions for Yield and Other Characters in Sweet Potatoes, Ipomoea Batatas, L. (Path Analysis, Heritability, Correlations).
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A multi-environmental trial was conducted in Rwanda, located in the highlands of Central Africa. The trial consisted of 26 cultivars of sweet potatoes repeated over 11 environments. Genotype X environment (G X E) interactions were highly significant for vine yield, fresh root yield, number of roots, and dry matter yield. Average root weight was not significant for G X E interactions. The G X E variance component was generally more important than the variance component for cultivars. From pathway analysis it was concluded that the G X E effects of dry matter yield were little determined by the G X E effects of the yield components except for number of roots. Specific and relatively independent adaptation mechanisms were postulated for each of the yield components. Genotypic correlations between yield components were neutral indicating that stress and competition between the yield components were low in the sweet potato. The parallel pathway diagram was found to be more adequate to explain the causal relationships between yield and its components, than the allometric (sequential) model. The main yield contributor was number of roots, followed in decreasing order by, average root weight, vine yield, and % dry matter. Three progeny trials were established in Rubona (Institut des Sciences Agronomiques du Rwanda), consisting of 18 half-sib progenies of local origin, 26 from IITA germplasm (International Institute for Tropical Agriculture, Nigeria), and 25 from special seed gardens. The latter trial was planted in a swampy area. The narrow-sense heritability for yield and yield components was generally low. The heritabilities for flesh color, skin color and anthocyanin pigment were generally high. The genetic associations for root yield, number of roots, and vine yield were strong and generally positive. In the swamp trial there was a negative genetic correlation between vine yield and number of roots probably due to the hydromorphic growing conditions. Because of relatively high co-heritability estimates, correlated genetic advance for yield was generally high when selecting for number of roots and vine yield.

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Modern tools promise to boost breeding of vital staple crops.
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This issue of The Plant Journal features the release of a metabolite database for root, tuber, and banana (RTB) crops (Price et al., 2020). Generated from the screening of diverse global collections curated by CGIAR Centers, the database contains concentration ranges for hundreds of metabolites and will be a valuable resource for breeding programs. More than 300 million people living below the poverty line depend on RTB crops – cassava, potatoes, sweet potatoes, yams, bananas, plantains, and tropical and Andean roots and tubers – for food and income, particularly in Africa, Asia, and the Americas (source: CGIAR). Commercialized mainly as cash crops, they help support family incomes, and are mostly grown and traded by women. The United Nations (UN) Sustainable Development Goals identify the investment in smallholder women farmers as an important way to increase food security and nutrition for the poorest, as well as food production for local and global markets. According to the UN, giving women farmers better access to resources could reduce the number of hungry people in the world by up to 150 million. Despite their vital importance for global food security, when compared with major crops such as wheat, maize, and rice, RTB crops lag tremendously in terms of resources for breeding programs (Tadele, 2019). The CGIAR Research Program on RTBs is leading efforts to apply genomics-assisted breeding to these valuable crops (Friedmann et al., 2018), including novel approaches to germplasm characterization such as metabolomics. Metabolomics platforms produce large-scale biochemical phenotypes that can be representative of quality traits (Price et al., 2017). Association of phenotype to metabolite profiles can provide measurable markers, akin to genetic quantitative trait loci, which can be used by breeding programs both independent of underlying genetic mechanisms and combined with genomic analyses to enhance linkage of genotype to phenotype (Luo, 2015). Taking this concept a step further, Price et al. (2020) argue that as metabolite markers are inherently affected by environmental factors, they can provide more precise measurements of trait variation than genetic markers. The authors view the metabolome as analogous to the epigenome, acting as a dynamic yet conserved network comprised of genetic and environmental influence. Quantifying the phenotypic contributions of biochemical signatures may sometimes be more efficient than using genetic markers, especially in highly heterozygous crops like RTBs. The work is a collaboration between several CGIAR Centers [the International Institute of Tropical Agriculture (IITA), Alliance Biodiversity-International Center for Tropical Agriculture (CIAT), and the International Potato Center (CIP)] and Royal Holloway, University of London (RHUL; Egham, UK). Elliott J. Price, Margit Drapal, and Laura Perez-Fons share the main authorship of the study. Early-career scientists at RHUL, they carried out the metabolomics experiments and are committed to continue working to support global food security. According to Paul Fraser, senior author of the manuscript and a professor at RHUL, the incorporation of metabolomics into the CGIAR Research Program on RTBs originated from a grant proposal that was not funded, but established the partnership. Thanks to the determination of the RTB group leaders, the plan moved forward anyway and was later funded predominantly by CGIAR. The vast metabolite database can now be used to establish quantitative chemical signatures, in other words, metabolite markers for desirable traits. A similar approach has been applied successfully for other plants, such as tomato (Schauer et al. 2006; Shahaf et al. 2016). However, the metabolomics data accumulated in tomato and other Solanaceae crop plants have not yet been compiled. Thus, the metabolite tools and resources in RTB crops are now, in some cases, surpassing those available in Solanaceae model crops. As their next step, the authors want to use these data to select parental materials from breeding and pre-breeding programs for further characterization. The data will also help the exploration of diversity panels and breeding populations for quantitative trait markers underlying quality traits (see Figure). In the future, the authors hope that this approach will be adopted for other crops and used to assess the impact of climate change on crop quality and safety.

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  • Research Article
  • Cite Count Icon 11
  • 10.1038/s41598-022-08271-4
Genetic diversity and population structure of an African yam bean (Sphenostylisstenocarpa) collection from IITA GenBank
  • Mar 15, 2022
  • Scientific Reports
  • Ndenum Suzzy Shitta + 5 more

African yam bean, AYB (Sphenostylisstenocarpa), is an underutilized legume of tropical Africa. AYB can boost food and nutritional security in sub-Saharan Africa through its nutrient-rich seeds and tubers. However, inadequate information on germplasm with desirable agro-morphological traits, including insufficient data at the genomic level, has prevented the full exploitation of its food and breeding potentials. Notably, assessing the genetic diversity and population structure in a species is a prerequisite for improvement and eventual successful exploitation. The present study evaluated the population structure and genetic diversity of 169 accessions from the International Institute of Tropical Agriculture (IITA) collection using 26 phenotypic characters and 1789 single nucleotide polymorphism (SNP) markers. The phenotypic traits and SNP markers revealed their usefulness in uniquely distinguishing each AYB accession. The hierarchical cluster of phenotypes grouped accessions into three sub-populations; SNPs analysis also clustered the accessions into three sub-populations. The genetic differentiation (FST) among the three sub-populations was sufficiently high (0.14–0.39) and significant at P = 0.001. The combined analysis revealed three sub-populations; accessions in sub-population 1 were high yielding, members in sub-population 2 showed high polymorphic loci and heterozygosity. This study provides essential information for the breeding and genetic improvement of AYB.

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