Genotype by environment interaction effect on yield and forage quality of native panic grasses: AMMI, GGE biplot and correlation analysis

Published Date
January 13, 2026
Type
Journal Article
Genotype by environment interaction effect on yield and forage quality of native panic grasses: AMMI, GGE biplot and correlation analysis
Authors:
Tessema Tesfaye
Tarekegn Yoseph Samago, Tuma Ayele Yada, Otoro Olkie Teko, Getinet Kebede Kalsa, Derrebe Kassa Hibebo, Milkias Fanta Heliso, Muluken Zeleke Ekule, Jane Ambuku Wamatu

Feed scarcity during the dry season is common in Ethiopia. The potential of existing indigenous grasses can be harnessed and optimized for inclusion in livestock diets. The objective of this study was to evaluate the performance, stability, and genotype × environment interaction (GEI) for dry matter yield (DMY) and crude protein yield (CPY) and key parameters correlations of four panic grass: Chano (Panicum maximum Jack (PMJ), Panicum virgatum (PV), Gardula (Dichanthelium latifolium (DL), and Degungiziya (Panicum maximum) as standard check (DG(SC))) genotypes across seven diverse environments. The experiment was conducted at Argubatenao (AT), Chanomile (CM), Humbo (HM), and Lemu (LM) in the South and Central Ethiopia region during 2022 and 2023 (seven environments: AT2022, AT2023, CM2022, CM2023, HM2022, HM2023, and LM2023). Experimental field was laid out in a randomized complete block design with three replicates. Data was analyzed using Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype and Genotype × Environment (GGE) biplot analyses with Pearson’s correlation analysis. DMY and CPY including additional forage quality traits of native panicum grasses, and their responses in different environments, were analyzed. The mean DMY performance of the genotypes ranged from 7.75 to 13.99 t/ha, while environmental variation was ranged from 1.37 to 15.42 t/ha. Genotype PMJ outperformed all other genotypes across all testing environments, showing a yield advantage of 21.5% over the mean DMY and 44.6% over check variety (DG). AMMI and GGE biplots provided high yielding genotype (PMJ) with wider adaptations in mega environments of AT2022, AT2023, CM2022, CM2023, and HM2022. The correlation analysis also revealed a strong positive relationship of DMY and CPY with tiller number, plant height, and leaf width, while DMY showed a negative association with IVOMD. DL demonstrated moderate stability across all environments for CP%, IVOMD, and ME. Hence, cultivation of PMJ and DL recommended across suitable environments and variety release in discriminative environments. Further research should include a larger pool of genotypes and more detailed environments to refine selection accuracy and animal testing and molecular or genomic tools could be integrated to strengthen breeding efforts.

Citation:
Tessema Tesfaye, Tarekegn Yoseph Samago, Tuma Ayele Yada, Otoro Olkie Teko, Getinet Kebede Kalsa, Derrebe Kassa Hibebo, Milkias Fanta Heliso, Muluken Ekule, Jane Wamatu. (13/1/2026). Genotype by environment interaction effect on yield and forage quality of native panic grasses: AMMI, GGE biplot and correlation analysis. Discover Sustainability, 8.
Keywords:
grass
native
panicum
forage