Alemu Tsega
This is Alemu Tsega who has employed from Injibara University, Ethiopia in Department of Biology in Genetics specialization.
Supervisors: Genetically related breeding
Address: Injibara
Supervisors: Genetically related breeding
Address: Injibara
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Papers by Alemu Tsega
various environmental constraints and yield reduction associated with adaptation. To identify
adaptable genotypes, a total of 12 bread wheat genotypes (G1 to G12) were evaluated for their
genotype-environment interaction (GEI) and stability across three different environments for two
years using Additive Main Effect and Multiplicative Interaction (AMMI) and genotype main effect
plus genotype-by-environment interaction (GGE) biplots analysis. GEI is a common phenomenon
in crop improvement and is of significant importance in genotype assessment and recommendation. According to combined analysis of variance, grain yield was considerably impacted by
environments, genotypes, and GEI. AMMI and GGE biplots analysis also provided insights into the
performance and stability of the genotypes across diverse environmental conditions. Among the
12 genotypes, G6 was selected by AMMI biplot analysis as adaptive and high-yielding genotype;
G5 and G7 demonstrated high stability and minimal interaction with the environment, as evidenced by their IPCA1 values. G7 was identified as the most stable and high-yielding genotype.
The GGE biplot’s polygon view revealed that the highest grain yield was obtained from G6 in
environment three (E3). E3 was selected as the ideal environment by the GGE biplot. The top
three stable genotypes identified by AMMI stability value (ASV) were G5, G7, and G10, while the
most stable genotype determined by Genotype Selection Index (GSI) was G7. Even though G6 was
a high yielder, it was found to be unstable according to ASV and ranked third in stability according to GSI. Based on the study’s findings, the GGE biplot genotype view for grain yield
identified Tay genotype (G6) to be the most ideal genotype due to its high grain yield and stability
in diverse environments. G7 showed similar characteristics and was also stable. These findings
provide valuable insights to breeders and researchers for selecting high-yielding and stable, as
well as high-yielding specifically adapted genotypes.
various environmental constraints and yield reduction associated with adaptation. To identify
adaptable genotypes, a total of 12 bread wheat genotypes (G1 to G12) were evaluated for their
genotype-environment interaction (GEI) and stability across three different environments for two
years using Additive Main Effect and Multiplicative Interaction (AMMI) and genotype main effect
plus genotype-by-environment interaction (GGE) biplots analysis. GEI is a common phenomenon
in crop improvement and is of significant importance in genotype assessment and recommendation. According to combined analysis of variance, grain yield was considerably impacted by
environments, genotypes, and GEI. AMMI and GGE biplots analysis also provided insights into the
performance and stability of the genotypes across diverse environmental conditions. Among the
12 genotypes, G6 was selected by AMMI biplot analysis as adaptive and high-yielding genotype;
G5 and G7 demonstrated high stability and minimal interaction with the environment, as evidenced by their IPCA1 values. G7 was identified as the most stable and high-yielding genotype.
The GGE biplot’s polygon view revealed that the highest grain yield was obtained from G6 in
environment three (E3). E3 was selected as the ideal environment by the GGE biplot. The top
three stable genotypes identified by AMMI stability value (ASV) were G5, G7, and G10, while the
most stable genotype determined by Genotype Selection Index (GSI) was G7. Even though G6 was
a high yielder, it was found to be unstable according to ASV and ranked third in stability according to GSI. Based on the study’s findings, the GGE biplot genotype view for grain yield
identified Tay genotype (G6) to be the most ideal genotype due to its high grain yield and stability
in diverse environments. G7 showed similar characteristics and was also stable. These findings
provide valuable insights to breeders and researchers for selecting high-yielding and stable, as
well as high-yielding specifically adapted genotypes.