Abstract
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.
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Claims 9
Claim · model-written summary
Mean dry matter yield across genotypes ranged from 7.75 to 13.99 t/ha.
Verbatim
e0“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.”
Claim · model-written summary
Environmental dry matter yield variation ranged from 1.37 to 15.42 t/ha.
Verbatim
e0“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.”
Claim · model-written summary
PMJ exceeded mean DMY by 21.5%.
Verbatim
e0“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).”
Claim · model-written summary
PMJ exceeded check variety DG by 44.6% in yield.
Verbatim
e0“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).”
Claim · model-written summary
AMMI and GGE analyses identified PMJ as high yielding and widely adapted in five mega environments.
Verbatim
e0“AMMI and GGE biplots provided high yielding genotype (PMJ) with wider adaptations in mega environments of AT2022, AT2023, CM2022, CM2023, and HM2022.”
Claim · model-written summary
Dry matter yield and crude protein yield were positively related to tiller number, plant height and leaf width.
PanicumOrganisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“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.”
t0“Genotype by environment interaction effect on yield and forage quality of native panic grasses: AMMI, GGE biplot and correlation analysis”
Claim · model-written summary
Dry matter yield was negatively associated with IVOMD.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“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.”
t0“Genotype by environment interaction effect on yield and forage quality of native panic grasses: AMMI, GGE biplot and correlation analysis”
Claim · model-written summary
DL had moderate stability across environments for CP%, IVOMD and ME.
Verbatim
e0“DL demonstrated moderate stability across all environments for CP%, IVOMD, and ME.”
t0“Genotype by environment interaction effect on yield and forage quality of native panic grasses: AMMI, GGE biplot and correlation analysis”
Claim · model-written summary
The authors recommend cultivation of PMJ and DL across suitable environments and release in discriminative environments.
- Outcome
- cultivation of PMJ and DL recommended across suitable environments and variety release in discriminative environmentse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Hence, cultivation of PMJ and DL recommended across suitable environments and variety release in discriminative environments.”
t0“panic grasses”