Evaluation and Selection of Ethiopian Bread Wheat Varieties Using Linear Mixed Model (original) (raw)
Related papers
Journal of Biodiversity & Endangered Species, 2013
Ten genotypes were tested for their adaptability study at five wheat growing areas of Tigray region, Northern Ethiopia. The elite varieties were arranged in RCB design with three replications. Data on grain yield was taken and subjected in to analysis of variance using Genstat 12 statistical software. Univariate stability analysis was also computed using different stability models. The combined analysis of variance showed that there were significant variations among genotypes, locations and their interaction. Based on grain yield, Mekelle-03 (3.24 t/ha) and FRET1 (3.15 t/ha) had scored the highest yield, while the local check yielded the least (2.35 t/ha). With respect to the univariate stability parameters, the different models identified the stability performance of the varieties. Based on the overall rank sum of stability parameters, the local check, M20ESWYT-46, Picaflor and FRET1were the most stable varieties, while HAR-1668, HAR-2501 and JEFERSON the least stable once. Since the tested varieties had shown differential yield responses across the environments, it is concluded that varietal recommendation should be based not only on overall mean yield, but also on their stability performance.
The productivity of bread wheat varieties affected by many factors including the agro-ecology of the growing area. It is important to test the adaptability and yields of released varieties in multi-location for their productivity. This study was designed to evaluate the yield potential and stability of bread wheat varieties across locations. A total of fourteen recently released bread wheat varieties were evaluated during 2019 and 2020 main cropping seasons at three locations. A Randomized Complete Block Design (RCBD) with three replications were used for the experiment. The gross plot area was 3m 2 (2.5m X 1.2m) and each plot consisted of six rows spaced 20cm apart. Based on the analysis of variance genotypes (G), environments (E) and their interaction (GEI) were highly significant for many of the traits considered including grain yield. The highest average grain yield 3720 kg/ha was recorded from Wane variety while the smallest 2590 kg/ha was recorded from Dereselegn variety. The first two principal component axes (PC1) and (PC2) of the AMMI model explained 63.78 % and 26% respectively. Thus, these two axes accounted for 89.77 % of the total G x E interaction sum of squares for grain yield. Based on the two analyses AMMI and GGE-biplot models, Biqa and wane, characterized by high yield and stability, the Biqa close to ideal genotype, so this variety is adaptable for a wide range while kakaba genotype provided high yield but not stable thus it was adapted to specific environment. Bulluk and Dereselegn genotypes were exhibited a lower score for both yield and stability. It was moreover suggested that the evaluation of wheat genotypes for grain yield under multi-locations should be carried out to exploit more yield potential.
International Journal of Bio-resource and Stress Management, 2022
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 geno...
2021
The study of GEI has assumed great importance in genotype testing programs because yield performance of a genotype is a result of the interaction between the genotype and environment. The study cried out with objectives to determine the effect of genotype, environment, and GEI on yield and yield components and to identify stable genotype. Twenty five bread wheat genotypes were evaluated by Alpha Lattice using three replications at six locations in Oromia, Ethiopia. Combined analysis of variance showed very highly significant differences (P<0.01) among environments and among genotypes. Genotype’s contribution to variation of some of the traits is equal or more than 30% except NGLS and GY. The contributions of environment to the total sum of squares of treatment is very high for GY and lower for NSLS, NGS, NGSL and TKW traits. Comparatively, contribution of G × E to the total sum of squares of treatment is moderate for NSLS (50.19%), NGSL (52.96%) and TKW (42.93%); relatively lower...
GGE biplot is an effective method based on principal component analysis to fully explore mega-environments trials data. The study conducted was to identify the best performing, high yielding stable advanced bread wheat genotype for selection environments, the identification of mega-environments and analysis of the ideal genotype and environment by GGE biplot method. Fifteen bread wheat genotypes were evaluated using RCBD with four replications at six locations in Ethiopia. The results of combined analysis of variance for grain yield of fifteen bread wheat genotypes indicated that genotype, environment and GEI were highly significant (P<0.001). The factors explained showed bread wheat genotypes grain yield was affected by environment (35.28%), genotype (33.46%) and GEI (31.45%). The first two PC axes of GGE explained 88.7% of G+GEI and divided the six locations into three major groups: Group1 included Asasa, Kulumsa and Arsi Robe (moderately discriminating locations); Group2 had the highland wheat producing locations Holeta and Bekoji (most discriminating locations), while Group3 contain Dhera (least discriminating location), a moisture stress location in the rift valley. Locations within the same group were closely correlated and provided redundant information about the genotypes. Testing can be performed in any one of the locations within a group. Genotype ETBW8078 and ETBW8459 were more stable as well as low yielding. Considering simultaneously yield and stability, genotype ETBW9045 and Hiddase showed the best performances suggesting their adaptation to a wide range of environments. Lemu, ETBW8084 and ETBW8065 were considered as desirable. Genotype ETBW8075 was the least stable with low yield and had a large contribution to the GEI, having the longest distance from the average environment. ETBW9470 was specifically adapted to Group1 locations while ETBW8070 was adapted to Group2 environments. Based on yield performance advanced lines ETBW9470 and ETBW8070 are recommended to be included in variety verification trials for further release.
Performance and farmers selection criteria Evaluation of Improved Bread Wheat Varieties
African Journal of Agricultural Research, 2018
Bread wheat is one of the most important cereal crops of the world and a staple food for about one third of the world's population and is a major cereal crop in Ethiopia. One of the major challenges in improving food security is to develop varieties that are adapted to specific environment and farmers' needs. Field trials were conducted at two locations, Hitosa (Sero-Anketo kebele) and Limu Bilbilo (Bekoji-Negesso kebele) districts, in Arsi zone of Oromiya regional state, Ethiopia in 2015. The objectives were to identify farmers' and traders' preferences and selection criteria and acceptable varieties among the tasted twenty-five bread wheat varieties through farmers' participation. The experiment was laid out in lattice design with three replications in which farmers participated only in one of the replication for ranking. Farmers and traders identified top seven criteria that are the same at both locations (that is, disease and insect resistance, grain yield, spike size, seed color, tillering capacity, market demand and seed size, except seed weight instead of seed size at Seru-Anketo) for rating of varieties from 1 to 5 scale (1=very poor and 5=excellent). Data analysis was done using SAS and Microsoft Excel. All varieties showed resistant type of infection for the three rusts (Stem, Yellow and Leaf) at Bekoji-Negesso: As all varieties scored <20 ACI. Similarly, at Sero-Anketo, Kakaba, Digelu and Jefferson ranged under MS to S whereas Gassay, Hiddasse, and Mekelle-02 ranged under MS and MR types of infection for SR, respectively. Grain protein was analyzed and Hoggana (14.27%) was found to be the highest. Based on measured trait (rusts resistance) and farmers' and traders preferences ranking; Bika, Bulluk and TAY for Bekoji-Negeso and Mekelle-4, Ogolcho and TAY for Sero-Anketo were recommended with their full production packages. Therefore, participation of farmers in early breeding program could be one of the approaches as to identify the best variety for specific location.
SVU-International Journal of Agricultural Sciences, 2020
The present study was conducted to selecting wheat stable cultivars with high productivity across various environments using the models of Eberhart & Russell (1966) and Tai (1971). Fife wheat cultivars viz, Shandwell 1, Sids 1, Sids 12, Giza 168 and Misr 2 were grown in a randomized complete block design with four replications under sixteen environmental conditions (2 years x 2 locations x 4 sowing dates) on yield and yield components during two successive seasons of 2017/2018 and 2018/2019. Pooled analysis of variance for grain yield and its components revealed significant variance due to genotypes, environments, and their interactions, indicating that they varied in their responses to diverse environments. Highest significant grain yield across varied environments was found by Sids 12 (14.60 ardab/feddan) followed by Shandwell 1 (13.61 ardab/feddan). The results indicated that according to Eberhart & Russell and Tai, the cultivar Shandwell 1 was genetically stable across various e...
The aim of this study is to evaluate the performance of five improved varieties of bread wheat and production technologies in Becho District of Oromia, Central Ethiopia. The varieties used were Sanate (T1), Mada-Walabu (T2), Hobora (T3), Hogana (T4), and Hidase as standard check (T5). The experiment was carried out in a Randomized Complete Block Design (RCBD), with six replications using six farmers' fields. Yield and yield related parameters were analyzed using SAS statistical software version 9.0. Economic analysis, preference, gender and nutrition and environmental suitability data were obtained to compare the advantages of treatments/varieties and identify the variety that performs best. All the yields and yield related components were significantly different between the varieties at 5% probability level. Sanate had the highest yield followed by Hobora and Hidase. Sanate variety had a 27% yield advantage over the standard check (Hidase) and 169.6, 143.2 and 156.6% yield advantage over the national, regional and zonal average yield of bread wheat in 2016/2017 Meher season of CSA data. Based on farmers' preference analysis, variety Sanate had the highest acceptability (96%) followed by Hobora (74%) and Hidase (65%), while Hogana variety had the lowest (24%). Economic analysis showed that Sanate variety had the highest net benefit (86,531.65 Birr/ha) followed by Hobora (71,793.96 Birr/ha) and Hidase (69,564.16 Birr/ha). Variety Hogana had the lowest net benefit of about 54,507.63 Birr/ha. Based on the rules of decision making and the integrated scoring on the bread wheat varieties, two of the tested varieties met the requirements for recommendation. Therefore, Sanate and Hobora varieties in addition to Hidase (the control) were recommended for Becho and other areas with similar agro-ecological conditions in the Central Highlands of Ethiopia.
GENOTYPE-BY-ENVIRONMENT INTERACTION AND GRAIN YIELD STABILITY OF BREAD WHEAT
SINET Ethiopian Journal of Science, 2015
The objective of this paper is to identify stable and high yielding varieties among 20 Ethiopian Bread wheat (Triticum aestivum L.) genotypes on the basis of experiments conducted during the 2007 and 2008 growing seasons. The additive main effects and multiplicative interaction (AMMI) model has been used to estimate G×E interaction and also to identify stable genotypes in environments. Combined ANOVA of G×E indicated the presence of significant interactions, as well as significant differences between genotypes and environments. According to AMMI, model genotypes G11, G10, G5 and G12 are found stable. In graphical display of the biplot, Adet is categorized under high yielding wheat environment as compared to the three relatively low yielding categorized environments (Holeta, Kulumsa and Sinana).
Wheat is one of the staple cereal crops for production and consumption in Ethiopia. Frequently using the same varieties of wheat in the same field for successive cropping seasons is one of the problems in the study area. The experiments were conducted at Wachemo University main station and Anlemo district in the 2021 main cropping season to select and recommend the best performing and high yielding varieties. Twenty newly improved and released varieties with the local check were evaluated in a randomized complete block design with three replications. The results of the variance analysis showed highly significant differences (<0.001) in each location for most of the characteristics of the study. Balcha (6555.6kg/ha), Deka (6444.4 kg/ha) produce high yields in Wachemo district, similarly, they had (4811.1kg/ha) and (5541.7kg/ha) in Anlemo and Wachemo districts, respectively. Both varieties showed good performances in grain yield and other important agronomic traits in both locations followed by Boru (6333.3 kg/ha) and (4222.2kg/ha) respectively; suggested for further demonstration and popularization in the study area. Newly improved varieties had good potential in yield performances and other agronomic traits in the studied area indicated farmers give more attention to using newly improved varieties than released before.