Year: 2025 | Month: November | Volume: 12 | Issue: 11 | Pages: 449-463
DOI: https://doi.org/10.52403/ijrr.20251147
Identification of High-Yielding and Stables Genotypes of Millet (Pennisetum glaucum (L.) R. Br.) under Cultivation Conditions in the Savannah District of Northern Côte d'Ivoire
Tâh Valentin Félix N’guettia1, Laopé Ambroise Casimir Siéné1, Ghislain Kanfany2, Mariame Condé1, Aya Kan Marie Louise Kouamé1
1Department of Plant Biology-Pedagogical and Research Unit of Plant Physiology, Training and Research Unit of Biological Sciences, Peleforo GON COULIBALY University, Korhogo, Côte d'Ivoire (BP 1328 Korhogo / www.univ-pgc.edu.ci)
2Department of Plant Production and Agronomy, Faculty of Agronomic Sciences, Aquaculture and Food Technologies (S2ATA), Gaston Berger University, B.P. 234, Saint Louis, Senegal
Corresponding Author: Tâh Valentin Félix N’guettia
ABSTRACT
In Côte d'Ivoire, millet production remains low and highly variable due to the use of local seed varieties that are low-yielding and unsuited to the current climate variability. It therefore seems necessary in this context to identify accessions with high yield potential that are stable in production areas. To this end, a multi-location experiment was conducted over two agricultural seasons (2023 and 2024) in three localities in the Savannah district, namely Korhogo, Ferkessédougou, and Tengréla. One hundred and seventeen millet accessions, including twenty-five improved introduced varieties and ninety-two local varieties, were evaluated in an Alpha-lattice design with three blocks. Combined analysis of variance (AMMI) was used to estimate the effects of genotypes (G), environments (E), and their interaction (G×E). The GGE-biplot approach was then used to analyze the performance and stability of the accessions. Ecovalence was calculated to confirm the results obtained by GGE (Genotype + Genotype x Environment), identifying stable genotypes and the most discriminating environments. The results showed that all the variables studied were significantly influenced by the environment (49.569%), genotypes (30.622%) and their interaction (17.624%). A strong influence of the environment was observed on the variables studied, as well as a significant G×E interaction, reflecting differentiated responses according to location. Three accessions (a160, a161, and a162) stood out for their high yields and stability in the different locations. In addition, the Ferkessédougou area proved to be the most representative and discriminating, confirming its value as a reference site for millet variety evaluation programs. Accessions a160, a161, and a162 can be recommended to improve millet production and contribute to securing sustainable incomes for producers in the savannah district of northern Côte d'Ivoire.
Keywords: high-performing millet accessions, GGE, AMMI, genotype x environment interaction, stability, Côte d'Ivoire
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