Oil palm geneticist (Yaoundé, Cameroun, 2015-current)
Oil palm geneticist (Montpellier, France, 2011-2015)
Oil palm breeder/Geneticist (Pobè, Benin, 2006-2011)
My researches primarily focus on breeding methodologies in order to maximize the genetic gain. I am mostly interested in quantitative genetics, genomics and statistics applied to oil palm and rubber tree breeding.
I am based at the African Center of Excellence in Information and Communication Technologies (CETIC), a training and research center created within the National Advanced School of Engineering of the University of Yaoundé 1 and funded by the World Bank.
Genomic predictions improve clonal selection in oil palm (Elaeis guineensis Jacq.) hybrids (final version published Aug. 8, 2020 in Plant Science)
Congratulation to Achille Nyouma for his travel grant to the Plant and Animal Genome 2020 (San Diego, CA).
From mass selection to genomic selection: one century of breeding for quantitative yield components of oil palm (Elaeis guineensis Jacq.) (first online 2019, Aug. 15 in Tree Genetics & Genomes)
See list of main publications on CIRAD website or Google Scholar (and full list here)
***Reviewing activities: Industrial Crops and Products, Plos One, etc.
***PhD studies (2011 - 2014): Factors controling the efficiency of genomic selection in oil palm (Elaeis guineensis)
Agricultural production must increase at an unprecedented
rate to meet the strong growth expected in food demand. Genomic selection (GS)
could contribute to reaching this goal by allowing selection of individuals on
their sole genotype, making breeding more efficient. Breeding for yield in oil
palm, the first oil crop in the world, is currently based on hybrid production
by reciprocal recurrent selection. The integration of GS to this scheme would
have major repercussions. My thesis aimed to assess the potential of GS to
predict hybrid combining abilities in parental populations (Deli and group B).
[quantitative genetics, computer simulation, oil palm breeding, genomic selection]