“Seeds for Needs” experience to improve diversity, nutrition and crop productivity

The agricultural industry in Ethiopia is dominated by smallholder farming and rain-fed food production systems that are struggling with dwindling diversity and expanding mono- cropping. In order to address diversity, food security, and nutrition, sustainable agricultural production systems must place a greater emphasis on the efficient protection and management of biodiversity and ecosystem services. Growing multiple crops in a region is referred to as crop diversification. It can be achieved by introducing new crop species or varieties, as well as by altering the current cropping system. Typically, it might refer to incorporating extra crops into an already-existing rotation. Our seeds for needs experience will play an important role in enabling agriculture to improve crop productivity, nutrition and crop diversity productivity. Together with Ethiopian and international partners, Bioversity International has been conducting a crowdsourcing methodology and crop improvement strategy under the name "seeds for needs" since 2010 in order to comprehend and study the potential of these varieties in underserved areas and to improve the resilience of the communities where these varieties are grown. The main objective was to provide variation so that farmers could adjust to climate change. The Seeds for Needs Initiative, which leverages the genetic diversity already present to discover traits for adaptation to climate change, has been successfully implemented by Bioversity International. With the help of farmers, particularly women farmers, Seeds for Needs uses a participatory approach to choose a set of crops and varieties that will be further tested under their farming conditions using a crowdsourcing technique. The registration of two varieties in the Tigray region, development of more than 6000 recombinant inbreed lines and their adoption by smallholder farmers in Tigray, Amhara, and Oromia, and a number of scientific paper publications that highlight the most important traits of these varieties—including their high grain and biomass yield in marginal environments, resistance to diseases, and adaptability to climatic conditions that change from year to year—are among the most significant outcomes of these studie

Discussion with representative participants from Meket district on SI-MFS initiative activities implementation

Sixteen participants (M=15; F=1) have represented the community in this discussion. The objective of the discussion was to introduce the concepts of Si-MFS initiative to the participants and discuss on possible areas of intervention under this initiative. Furthermore, the role of WTL to link crowdsourcing winner varieties of durum wheat and faba bean to the surrounding farmers. Besides, the project team has discussed with Meket woreda administration and office of Agriculture about the initiative, main agricultural sector problems and designed possible alleviation solutions

Report of a policy dialogue workshop on open source seed systems for climate change adaptation in East Africa

The report gives a summary of a policy workshop that was held in December 2019 to discuss the complex issues related to access to and use of genetic resources for climate change adaptation. In particular, the workshop focussed on policies to support the further use in research and breeding, or possible ‘direct use in cultivation’ of materials that performed well in participatory trials supported by these projects. The workshop brought together practitioners from Ethiopia, Kenya, Tanzania and Uganda from various non-governmental organizations (NGOs) and advocacy groups, policy makers from government departments, seed inspection and certification services and researchers and breeders

Pre-implementation capacity building training on SI-MFS initiative

Building capacity of key implementing stakeholders is a prerequisite for successful implementation of projects. We have caried capacity building training on several topics under the framework of Sustainable Intensification of Mixed Farming Systems (SI-MFS) initiative. Briefing on SI-MFs, crowdsourcing platform for accelerated varietal evaluation and selection, and potential of local landraces for breeding and yield improvement for sustainable development were given for a total of 39 participants from 9 district agricultural officers, 18 kebele level extension workers and 12 selected model farmers from norther, central and southern parts of the country. This training workshop has also provided opportunity to strengthen collaboration among different actors of the project within the same district as well as across country. Furthermore, participants from the different corners of the country have shared experience and gained common understanding of the initiative to be implemented in their respective areas

Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat

Smallholder farming communities face highly variable climatic conditions that threaten locally adapted, low-input agriculture. The benefits of modern crop breeding may fail to reach their fields when broadly adapted genetic materials do not address local requirements. To date, participatory methods only scratched the surface of the exploitability of farmers’ traditional knowledge in breeding. In this study, 30 smallholder farmers in each of two locations in Ethiopia provided quantitative evaluations of earliness, spike morphology, tillering capacity and overall quality on 400 wheat genotypes, mostly traditional varieties, yielding altogether 192,000 data points. Metric measurements of ten agronomic traits were simultaneously collected, allowing to systematically break down farmers’ preferences on quantitative phenotypes. Results showed that the relative importance of wheat traits differed by gender and location. Farmer traits were variously contributed by metric traits, and could only partially be explained by them. Eventually, farmer trait values were used to produce a ranking of the 400 wheat varieties identifying the trait combinations most desired by farmers. The study scale and methods lead to a better understanding of the quantitative basis of Ethiopian smallholder farmer preference in wheat, broadening the discussion for the future of local, sustainable breeding efforts accommodating farmers’ knowledge

A large nested association mapping population for breeding and quantitative trait locus mapping in Ethiopian durum wheat

The Ethiopian plateau hosts thousands of durum wheat (Triticum turgidum subsp. durum) farmer varieties (FV) with high adaptability and breeding potential. To harness their unique allelic diversity, we produced a large nested association mapping (NAM) population intercrossing fifty Ethiopian FVs with an international elite durum wheat variety (Asassa). The Ethiopian NAM population (EtNAM) is composed of fifty interconnected bi-parental families, totalling 6280 recombinant inbred lines (RILs) that represent both a powerful quantitative trait loci (QTL) mapping tool, and a large pre-breeding panel. Here, we discuss the molecular and phenotypic diversity of the EtNAM founder lines, then we use an array featuring 13 000 single nucleotide polymorphisms (SNPs) to characterize a subset of 1200 EtNAM RILs from 12 families. Finally, we test the usefulness of the population by mapping phenology traits and plant height using a genome wide association (GWA) approach. EtNAM RILs showed high allelic variation and a genetic makeup combining genetic diversity from Ethiopian FVs with the international durum wheat allele pool. EtNAM SNP data were projected on the fully sequenced AB genome of wild emmer wheat, and were used to estimate pairwise linkage disequilibrium (LD) measures that reported an LD decay distance of 7.4 Mb on average, and balanced founder contributions across EtNAM families. GWA analyses identified 11 genomic loci individually affecting up to 3 days in flowering time and more than 1.6 cm in height. We argue that the EtNAM is a powerful tool to support the production of new durum wheat varieties targeting local and global agriculture

Negligible levels of mycotoxin contamination in durum wheat and groundnuts from non-intensive rainfed production systems

Mycotoxins are chemical contaminants that are invisible, tasteless, chemically stable and survive food processing. Contamination along the agri-food chain is difficult to control since their production and spreading are due to numerous factors including temperature, relative humidity, insect infestation, and susceptibility of the host plant. This is a pilot study which aims at assessing the contamination level of deoxynivalenol (DON), and its plant metabolites (3AcDON, 15 AcDON, DON 3G), nivalenol, T-2 and HT-2 toxins, and ochratoxin A in thirty-seven traditional varieties of Ethiopian durum wheat, and aflatoxins B1, B2, G1, and G2 in thirty-one varieties of Ugandan groundnuts grown in non-intensive rainfed production systems. Results indicate absence of mycotoxin contamination in all durum wheat samples and negligible levels of contamination (below the maximum levels tolerated by international standards) in groundnut samples. Further studies are required to assess if non-intensive production systems and varieties have a role in preventing and/or reducing mycotoxin contamination of the crops

Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment

Crop breeding must embrace the broad diversity of smallholder agricultural systems to ensure food security to the hundreds of millions of people living in challenging production environments. This need can be addressed by combining genomics, farmers’ knowledge, and environmental analysis into a data-driven decentralized approach (3D-breeding). We tested this idea as a proof-of-concept by comparing a durum wheat (Triticum durum Desf.) decentralized trial distributed as incomplete blocks in 1,165 farmer-managed fields across the Ethiopian highlands with a benchmark representing genomic prediction applied to conventional breeding. We found that 3D-breeding could double the prediction accuracy of the benchmark. 3D-breeding could identify genotypes with enhanced local adaptation providing superior productive performance across seasons. We propose this decentralized approach to leverage the diversity in farmer fields and complement conventional plant breeding to enhance local adaptation in challenging crop production environments.publishedVersio

Wheat varietal diversification increases Ethiopian smallholders’ food security: Evidence from a participatory development initiative

This study assesses the impact of a participatory development program called Seeds For Needs, carried out in Ethiopia to support smallholders in addressing climate change and its consequences through the introduction, selection, use, and management of suitable crop varieties. A doubly robust estimator was employed to properly estimate the impact of Seeds For Needs interventions. The results show that program activities have significantly enhanced wheat crop productivity and smallholders’ food security by increasing wheat varietal diversification. This paper provides further empirical evidence for the effective role that varietal diversity can play in improving food security in marginal environments, and also provides clear indications for development agencies regarding the importance of improving smallholders’ access to crop genetic resources