Integrating Multivariate and Univariate Statistical Models to Examine Protein, Moisture, and Gluten Stability in Ethiopian TetraploidWheat Varieties under Irrigation Condition-Crop Breeding, Genetics and Genomics-CSCIED科技核心评价数据库-手机版

Integrating Multivariate and Univariate Statistical Models to Examine Protein, Moisture, and Gluten Stability in Ethiopian TetraploidWheat Varieties under Irrigation Condition

Integrating Multivariate and Univariate Statistical Models to Examine Protein, Moisture, and Gluten Stability in Ethiopian TetraploidWheat Varieties under Irrigation Condition

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DOI	10.20900/cbgg.20240005
刊名	Crop Breeding, Genetics and Genomics CBGG
年，卷(期)	2024, 6(3)
作者	Geleta Gerema*,Girma Mengistu,Tilahun Bayissa,Urgaya Balcha,
作者单位	1 Bako Agricultural Research Center, Bako 0000, Ethiopia; 2 Oromia Agricultural Research Institute, Addis Ababa 1000, Ethiopia; 3 Sinana Agricultural Research Center, Bale Robe 4540, Ethiopia; 4 Adami Tulu Agricultural Research Center, Batu 0000, Ethiopia
Abstract	Protein, moisture and gluten content of 12 popular Ethiopian tetraploid wheat varieties were investigated for genotype-environment interaction and stability performance under irrigation conditions. The experiment was carried out at nine different sites using a randomized complete block design with three replications. Qualitative data such as gluten, protein and moisture contents were collected. Multivariate (ANOVA, AMMI and GGE biplot) and univariate (bi, S2d, σi, Wi2, YSi and CVi) analysis models were applied to identify stable varieties for qualitative traits. The AMMI analysis of variance revealed that the main effects (genotype and Environment) had a highly significant (p < 0.001) influence on the protein, moisture and gluten contents. The G × E interaction had a significant (p < 0.05) impact on moisture and protein contents, and a highly significant (p< 0.001) influence on gluten. Environmental variance was the most significant source of variation, accounting for 71.5% (gluten), 71.1% (moisture) and 33.2% (protein) of the total variation; the larger environmental variance may be attributed due to the variations in soil types and climaticconditions among environments. Univariate statistical analysis models showed that Utuba was stable across the testing environments for protein, gluten, and moisture contents. The GGE biplot clustered the nine test locations into 4, 4 and 3 mega environments for gluten, moisture, and protein, respectively. Both statistical analyses (univariate and multivariate) proved that the protein, gluten, and moisture contents of the Utuba variety were stable across the test environments. Therefore, Utuba is recommended for further demonstration and popularization in test locations with similar agroecologies.
KeyWord	quality traits; multivariate; stability; univariate
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Geleta Gerema*,Girma Mengistu,Tilahun Bayissa,Urgaya Balcha. Integrating Multivariate and Univariate Statistical Models to Examine Protein, Moisture, and Gluten Stability in Ethiopian TetraploidWheat Varieties under Irrigation Condition, Crop Breeding, Genetics and Genomics. 2024; 6; (3). https://doi.org/10.20900/cbgg.20240005.

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