Analysis of genetic diversity and agronomic variation in banana sub-populations for genomic selection under drought stress in Southern Benin

Fort Mbo Nkoulou Luther, Archange Tchinda Ninla Lauriane, Cros David, Martin Guillaume, Ndiang Zenadou, Houegban Jordan, Bille Ngalle Hermine, Martin Bell Joseph, Achigan-Dako Enoch G.. 2023. Analysis of genetic diversity and agronomic variation in banana sub-populations for genomic selection under drought stress in Southern Benin. Gene, 859:147210, 12 p.

https://doi.org/10.1016/j.gene.2023.147210

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Résumé : In the perspective of investigating genomic selection (GS) among Musa genotypes in West and Central Africa, banana accessions were phenotyped under natural drought stress in Benin and genotyped using genotyping by sequencing. Sixty-one (61) accessions grouped into three major genomic groups AAA, AAB and ABB and those without genomic affiliation information were used. Variation within the population was determined by phenotypic variables while population structure and clustering analysis were carried out to understand the genetic diversity at the molecular level. Among the genomic groups evaluated, the group AAB showed the best performance for fruit weight at maturity, (3.41 ± 1.99 kg) and for plant height (198.46 ± 12.66 cm). At the accession level, HD 117 S1 and NIA 27 showed the best plant height (263.16 ± 20.98 cm) and the best fruit weight at maturity (9.43 ± 0.0 kg) respectively. Phenotypic data did not reveal clear genetic diversity among accessions; however, the genetic diversity was conspicuous at the molecular level using 5000 markers. The affiliations of local accessions in genomic groups were determined for the first time based on the phenotypic and molecular data obtained in this study. The knowledge generated allows the possibility to apply GS in banana.

Mots-clés Agrovoc : diversité génétique (comme ressource), variation génétique, sélection, caractère agronomique, polymorphisme à nucléotide unique, stress dû à la sécheresse, résistance à la sécheresse, phytogénétique, amélioration des plantes, Musa (bananes)

Mots-clés géographiques Agrovoc : Bénin

Mots-clés libres : Banana accessions, Drought, Single Nucleotide Polymorphism, Genetic diversity, Genomic selection

Classification Agris : F30 - Génétique et amélioration des plantes
H50 - Troubles divers des plantes

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Agences de financement européennes : European Commission

Agences de financement hors UE : African Union

Programme de financement européen : Intra-Africa Academic Mobility Scheme

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