High selfing rate inferred for white fonio [Digitaria exilis (Kippist.) Stapf] reproductive system opens up opportunities for breeding programs
- 252 Downloads
In a context of the global major changes, it is mandatory to enlarge the range of crops supporting food security and pay great attention to neglected and underutilized species. However, basic knowledge of the biology of many neglected and underutilized species is still lacking to increase their yields. In this study, the mating system of white fonio [Digitaria exilis (Kippist.) Stapf], a West African minor and promising cereal, is assessed. Progenies arrays from both homozygous and heterozygous mothers were genotyped with microsatellites markers. The rate of genotyping errors in the experiments was assessed and a likelihood framework was used to determine the probability of different mating systems: outcrossing, self-fertilization and apomixis. The results suggested that white fonio has a highly selfing reproductive system with a possible outcrossing rate of 1.7%. Understanding the reproduction system of white fonio opens up opportunities for more effective breeding programs and a wider use of this cereal for food security improvement.
KeywordsAgrobiodiversity Digitaria exilis Fonio millet Mating system NUS Poaceae SSR
We thank the LMI LAPSE platform located on the ISRA-IRD campus in Dakar, Senegal, and the GPTR genotyping platform located at CIRAD in Montpellier, France. We thank the government of Guinea for allowing us to carry out our fieldwork and M. Camara and M. Doumbouya for their assistance in Guinea. Our greatest debt of gratitude is to the farmers for providing the research material.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Adoukonou-Sagbadja H, Wagner C, Dansi A, Ahlemeyer J, Daïnou O, Akpagana K, Ordon F, Friedt W (2007) Genetic diversity and population differentiation of traditional fonio millet (Digitaria spp.) landraces from different agro-ecological zones of West Africa. Theor Appl Genet 115:917–931CrossRefPubMedGoogle Scholar
- FAO (1998) State of the world’s plant genetic resources for food and agriculture. Food and Agriculture Organization of the United Nations, Rome, ItalyGoogle Scholar
- FAOSTAT (2004) Food and Agriculture Organization of the United Nations, Statistical Databases. Online at. http://faostat.fao.org
- Team RD (2015) R: a language and environment for statistical computingGoogle Scholar