Abstract
Data analysis using the General linear model assumes the factors to be fixed effects, and the BLUE method, which is based on their mean performance, is appropriate to select the best performing genotypes. The linear mixed model incorporates fixed and random effects that are very important to compare a genotype’s performance through BLUP. The purpose of this study was to identify the best performing genotypes that provided a high grain yield using a mixed model, compare the mean performance of genotypes on grain yield using BLUP and BLUE, and determine the impact of drought on sorghum production in Ethiopia. The experiment used water availability as a treatment, and each replication within the treatment levels used a lattice square design for data collection. The design consisted of 14 × 14 square experimental units (plots) comprising 196 genotypes, where each row of the square was represented as a block receiving 14 genotypes. The phenotypic characteristics were measured for the study. The statistical methods used for the study were ANOVA and the linear mixed model to identify the best performing genotypes of sorghum. The study found that sorghum production was influenced by drought, which restricted sorghum growth due to a shortage of water. The implementation of irrigation increased the grain yield from 2.48 to 3.17 t/ha, indicating that the difference in grain yield between treatments (with and without irrigation) was 0.69 t/ha. The study compared the general linear model and linear mixed model, and the investigation revealed that the mixed model was more accurate than the general linear model. The linear mixed model selected the best performing genotypes in grain yield with better accuracy. It is recommended to use the linear mixed model to select the best performing genotypes in grain yield.
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Claims 4
Claim · model-written summary
Irrigation increased sorghum grain yield from 2.48 to 3.17 t/ha, a difference of 0.69 t/ha.
- Treatment
- implementation of irrigatione0
- Outcome
- grain yielde0
- Direction
- increasede0
- Value
- from 2.48 to 3.17 t/hae0
- Comparator
- without irrigatione0
SorghumOrganisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Sorghum”
e0“The implementation of irrigation increased the grain yield from 2.48 to 3.17 t/ha, indicating that the difference in grain yield between treatments (with and without irrigation) was 0.69 t/ha”
Claim · model-written summary
Drought restricted sorghum growth and influenced production because of water shortage.
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“sorghum production was influenced by drought, which restricted sorghum growth due to a shortage of water”
Claim · model-written summary
The linear mixed model was more accurate than the general linear model for genotype selection.
Verbatim
e0“the mixed model was more accurate than the general linear model”
Claim · model-written summary
The authors recommend using the linear mixed model to select the best performing genotypes for grain yield.
- Outcome
- select the best performing genotypes in grain yielde0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Sorghum”
e0“It is recommended to use the linear mixed model to select the best performing genotypes in grain yield”
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