Peanut Innovation Lab starts new work in Senegal

By for CAES News

The Peanut Innovation Lab launched its portfolio of projects in Senegal in October, bringing together scientists from Virginia Tech, University of California-Santa Barbara, University of Georgia and The Ohio State University with colleagues in Senegalese research and education institutions, including:

  • Centre de coopération internationale en recherche agronomique pour le développement (CIRAD), Dakar
  • Centre d'Etude Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), Thies
  • Institut Sénégalais de Recherches Agricoles (IRSA), Bambey
  • Ecole Nationale Supérieure d'Agriculture de Thiès (ENSA), Dakar
  • Centre de Recherche pour le Developpment Economique et Social (CRDES)
  • University of Thies
  • Le Conseil ouest et centre africain pour la recherche et le développement agricoles (CORAF), Dakar

The projects involve the use of traditional and genomic-based variety development, value chain improvements and understanding the roles women and young people play in peanut production in Senegal.

Enhancing the genetic potential of peanut of peanut production in West Africa, Lead scientist: Daniel Fonceka, CERAAS

Peanut breeders across Africa each hold small parts of the plant’s genetic diversity. This project brings together several countries to evaluate the diversity available, develop a set of about 200-300 accessions from across different regions to represent available diversity, and use this set to find the genetic basis for target traits, creating a broader genetic base for peanut breeding programs.

 

Incorporating new wild alleles into elite West-African peanut cultivars, Lead scientist: David Bertioli, University of Georgia

Genetic variation in peanut is limited due to its recent, polyploid origin, which limits crop improvement through breeding, but wild relatives of peanut hold alleles that can offer favorable traits when the wild alleles are incorporated through backcrossing. This is a strategy well-proven in multiple crops. Advanced backcross populations have been completed or partially developed in previous projects. From one of these populations, six new varieties were released in Senegal – with improved yield stability, haulm mass, higher yield and larger seeds. Other lines are showing resistant to late and early leaf spot (LLS and ELS). The proposed work will build on these successes, evaluating a previously developed set of lines and laying the foundation for the production of new ones.

 

Breeding and enhancement of resistance to leaf spot, tolerance to water deficit, and improved oil composition in groundnut, Lead scientist: Mark D. Burow, Texas A&M

Lack of water and leaf spots are two of the major factors that limit peanut yield in Africa. This project uses wild species, genetic populations generated in the USA and West Africa, and selected ICRISAT breeding lines to introduce genes for drought tolerance and resistance to leaf spots, as well as enhance oil composition. DNA markers for those traits will be shared with national programs and training provided for use in selecting for these traits and for high oleic acid content.

 

High-throughput phenotyping, Lead scientist: Maria Balota, Virginia Tech

Using new, but inexpensive sensors that detect temperature, color saturation and other data, scientists can quickly assess whether plants inherited desirable traits, such as drought tolerance or disease resistance. This large-scale, rapid and accurate phenotyping helps plant breeders more effectively develop cultivars that can survive in harsh conditions and with minimal inputs. The project is providing breeding programs In Ghana, Senegal and Uganda with several such sensors along with training in their use. The project will use the sensors to phenotype a number of lines in the field trials to determine the most useful technology for each program.

 

Shrub intercrops in the Sahel: A novel resource for bio-irrigation and beneficial microorganisms to resist drought and optimize yields, Lead scientist: Richard Dick, Ohio State

This project aims to investigate the Optimized Shrub System (OSS), which increases shrub density of two local shrubs that have been shown to increase the availability of water in the root zone, and ultimately, increase productivity of millet. Initial results indicate similar effects on peanut production, but further verification and refinement are necessary. Improved food and nutrition security, agroecosystem sustainability and resilience, and women’s empowerment are the expected outcomes of this project.

 

Retaining next generation farmers in the Senegalese groundnut basin, Lead scientist: Bradford Mills, Virginia Tech

Despite the strong historic emphasis on peanut production in central and western Senegal, climate variability and uncertainty in policies have made for a risky production environment in recent years, and reduced incentives for young adults to enter into farming. This threatens the long-run viability of peanut production. The project explores climatic and land-tenure constraints to youth participation in the Senegalese groundnut sector and evaluates the feasibility of technology and policy options to address constraints.

 

Gender, fertility, and intrahousehold dynamics and resilience in the Senegalese peanut product chain, Lead scientist: Stuart Sweeney, University of California-Santa Barbara

Women in Senegalese households balance work that involves gendered responsibilities and is complicated by a household structure including multiple wives and other relatives. This project studies how the peanut value chain is impacted by the number of children a woman has, the power dynamics in her household and climate shocks that happen in the area. Researchers are studying whether women who have more children are busier, so they participate less in peanut production and are less able to follow best farming practices.  Women who are expected to manage the household, as well as participate in peanut agriculture, have little leisure time, and researchers want to know how that impacts peanut production.

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