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Twenty three advanced bread wheat genotypes have been evaluated against two released bread wheat varieties in 2018-19 and 2019-20 in nine diverse environments of Ethiopia. The experiment was laid out using alpha lattice design with three replications. Ten stability models were employed in order to assess stability and performance of 23 advanced bread wheat genotypes. Combined analysis of variance for grain yield has revealed that the environments, the genotypes and GEI effects were significantly different (p<0.001). In the present study, Environments, GEI and Genotypic effects accounted for 88.6%, 8.3% and 3.1% of the total grain yield variation, respectively. Twelve bread wheat genotypes, ETBW 9136, ETBW 9139, ETBW 9065, ETBW 9080, ETBW 9172, ETBW 9396, ETBW 9452, ETBW 9641, ETBW 9642, ETBW 9646, ETBW 9647 and ETBW 9648 produced grain yield that raged from 5.4 to 5.8 t ha-1, indicating their superior yielding potential. ETBW 9136, ETBW 9139, ETBW 9172, ETBW 9396, ETBW 9452, ETBW 9641, ETBW 9642 and ETBW 9646 were the most stable bread wheat genotypes as confirmed by five to ten stability models. However, ETBW 9452, ETBW 9641, ETBW 9642, ETBW 9646, ETBW 9647 and ETBW 9648 were susceptible to either stem rust or yellow rust or both. Providentially, ETBW 9136, ETBW 9139, ETBW 9172 and ETBW 9396 were superior yielding, stable, resistant and moderately resistant to wheat rusts. Thus, these four genotypes were the most promising advanced bread wheat genotypes to be verified and released in low to mid altitude areas of Ethiopia. [ABSTRACT FROM AUTHOR]

The performance of genotypes under diverse environments can be used to determine their adaptability and stability. However, information on the performance of coffee genotypes in various environmental conditions is limited. Thus, this study's objectives were to estimate genotype by environment interaction (GEI), evaluate the mean performance and stability of 16 fruity flavored coffee genotypes in eight specialty coffee growing environments in western Ethiopia, and assess the magnitude of correlations among different stability parameters. The experiment was laid out in a randomized complete block design (RCBD) with two replications. For coffee yield, data were recorded and a combined analysis of variance and stability analysis were performed. Additive main effect and multiplicative interaction (AMMI) analysis revealed that genotypes, environments, and GEI showed highly significant differences (P <.0.01) for coffee bean yield. AMMI analysis also revealed that 73.2% of the GEI sum of squares for coffee bean yield was accounted for by the first three interaction principal component axes (IPCA). The standard check variety G16 (Menesibu), G3(W54/99), and G10 (W107/99) gave the highest average yields of 1537, 1458 and 1375 kg of clean coffee per hectare across environments, respectively. Despite no genotypes consistently performing well across environments due to the high GEI, G1 (W13/99) and G5 (W54/99) were relatively stable. Therefore, these were recommended as useful genetic resources for breeding of high-yielding genotypes. However, since all the genotypes gave a mean yield below the standard check variety, additional genotypes should be tested in more environments to develop stable and high-yielding coffee varieties. [ABSTRACT FROM AUTHOR]

Drought tolerance is an important objective in many plant breeding programs. Global annual yield losses due to drought stress may reach 50% depending on the crop's growth stage and extent of drought severity. The present study was conducted to examine the yield performance and stability of elite drought-tolerant chickpea genotypes under diverse environments and to identify a stable genotype that performs well in moisture deficit environments using fourteen high drought index genotypes, including Fetenech (commercial variety). GGE biplot methodology was used to analyze genotypic stability across the environments. Additive main effect and multiplicative interaction (AMMI) analyses revealed significant (P < 0.01) genotype (G) and environmental (E) effects as well as GxE interaction with respect to chickpea yield. As per the AMMI analysis, 66.1% of the total variation was attributed to the environment, while G and GxE interaction explained 8.2% and 11.5%, respectively. According to AMMI's stability value (ASV), the most stable genotypes were G9 and G1, considering both mean yield and ASV. The testing environments were clustered into two mega environments. The study clearly shows that G1 is near to the ideal genotype that does well under terminal moisture deficit environments with desirable and stable attributes with a yield advantage of 29.1% over standard cultivar (Fetenech). Further research on molecular and physiological analysis has to be conducted to identify gene/s conferring drought tolerance in chickpeas. Moreover, schematic hybridization should be designed to introgress novel gene/s conferring drought tolerance to high-yielding and adapted commercial chickpea varieties. [ABSTRACT FROM AUTHOR]

Multi-environment trials were carried out at 11 locations in different wheat growing zones of Ethiopia during 2017-18 and 2018-19 to identify high yielding, stable, biotic and abiotic stresses resistant varieties with improved quality traits for commercial release. Twenty-eight advanced bread wheat genotypes have been evaluated against two released bread wheat varieties. The experiment was laid out using alpha lattice design with three replications. Nine stability models were employed in order to assess stability and performance of 28 advanced bread wheat genotypes across 18 diverse environments. Combined analysis of variance for grain yield has revealed that the environments, the genotypes and GEI effects were significantly different (p<0.001). Environments, GEI and Genotypic effects accounted for 71.99%, 22.97% and 5.03% of the total grain yield variation, respectively. Significant GEI showed variable performance of genotypes across environments. Eight advanced bread wheat genotypes namely ETBW8595, ETBW8668, ETBW8751, ETBW8991, ETBW8996, ETBW9547, ETBW9553 and ETBW9554 produced grain yield of more than 5.0 t ha-1, indicating their superior yielding potential. ETBW8595, ETBW8668, ETBW8751, ETBW8991 and ETBW9554 were found the most stable bread wheat genotypes as confirmed by five to eight stability models. ETBW8751, ETBW8991 and ETBW9554 were highest yielding, stable, adaptable, resistant and moderately resistant to prevailing stem and yellow rust diseases. Thus, these three genotypes were the most promising advanced bread wheat genotypes to be verified and released in Ethiopia. These promising bread wheat genotypes can be included in multipurpose bread wheat crossing blocks in order to correct shortcomings of commercial varieties. [ABSTRACT FROM AUTHOR]

A field experiment was conducted during 2014 and 2015 using seven released triticale varieties in Wag-Lasta marginal high lands. Triticale (Triticosecale) is a hybrid of wheat (Triticum) and rye (Secale). The objective of the trial was to select adaptable and high yielding triticale variety for Wag-Lasta marginal high lands. Randomized complete block design with three replications and Plot size of 2.5 m length, 1.2 m width, 0.2 m row spaces were used. Phonological, agronomic and grain yield Data were taken. The combined analysis of variance showed a significant difference among the test varieties, location, and variety by location (GEI) interaction for most of the traits. Mean squares of Location was highly significantly (P < 0.01) different for all traits considered except spike length. Varieties were also highly significantly (P < 0.01) different from each other except biomass. Mean squares for variety by location interaction effects were highly significant (p < 0.01) for days to heading, days to maturity and significant (p < 0.05) for spike length and biomass; indicated the differential response of the varieties to test location for these traits. However, grain yield was not significantly affected by interaction effect that varieties were performed nearly similar in these test locations. Based on the data analysis and field evaluation variety Logawshibo followed by Dilfakare gave the highest grain yields of 30.32 qt/ha and 27.43 qt/ha, respectively. Thus, these varieties are recommended for Wag-Lasta marginal highlands and similar environment of the region. Moreover, these varieties should be demonstrated and popularized for the users. [ABSTRACT FROM AUTHOR]