The aims of the experiment are to determine and understand the effect of genotype, environment, and their interaction on grain yield of tef, and to identify and release stable and high yielding tef genotype for high potential areas of country. Twelve tef genotypes including two checks were laid out in randomized complete block design using four replications for two years (2016 and 2017) at twelve representative locations of high potential areas of the country. The trial was conducted on the plot size of 2m*2m with 10 rows per plot throughout all trial sites and 1.5m between replication, 1m between plot, and 20cm between rows. Agronomic and yield data were collected and subjected to statistical analysis in order to identify the best genotypes of the evaluated genotypes. Data from individual environments and combined over twelve locations were analyzed by using R 3.5 software version. The combined data analysis over locations and years indicated that the candidate variety Kaye Murri X 3774-1 (RIL18) performed better than the two checks and the other test genotypes. It gave 7.5% and 10.65% grain yield advantages over the standard check (Quncho) and local check, respectively. The significant genotypes x environments interaction effects indicated the inconsistent performance of genotypes across the tested environments. The candidate variety DZ-Cr-458 (RIL18) is the shortest vector from the AEC axis that identified as the most stable genotype. The National Variety Release Committee in Ethiopia investigated the two-year performance of Kaye Murri X 3774-1 (RIL18) and visited several locations where the new candidate variety was grown for evaluation under variety verification trial. Based on the critiques, the National Variety Release Committee the candidate variety was approved for release Kaye Murri X 3774-1 (RIL18), for high potential areas of the country with the vernacular name of “Ebba” as a standing witnessed for the earliest known tef scientist, Dr. Tadesse Ebba.
Published in | American Journal of Bioscience and Bioengineering (Volume 10, Issue 2) |
DOI | 10.11648/j.bio.20221002.11 |
Page(s) | 23-28 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Tef, Ebba, GGE Biplot, Stability Variety Release
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APA Style
Worku Kebede, Kidist Tolosa, Tsion Fikre, Yazachew Genet, Solomon Chanyalew, et al. (2022). Tef (Eragrostis tef) Variety Development for High Potential Areas of Ethiopia. American Journal of Bioscience and Bioengineering, 10(2), 23-28. https://doi.org/10.11648/j.bio.20221002.11
ACS Style
Worku Kebede; Kidist Tolosa; Tsion Fikre; Yazachew Genet; Solomon Chanyalew, et al. Tef (Eragrostis tef) Variety Development for High Potential Areas of Ethiopia. Am. J. BioSci. Bioeng. 2022, 10(2), 23-28. doi: 10.11648/j.bio.20221002.11
AMA Style
Worku Kebede, Kidist Tolosa, Tsion Fikre, Yazachew Genet, Solomon Chanyalew, et al. Tef (Eragrostis tef) Variety Development for High Potential Areas of Ethiopia. Am J BioSci Bioeng. 2022;10(2):23-28. doi: 10.11648/j.bio.20221002.11
@article{10.11648/j.bio.20221002.11, author = {Worku Kebede and Kidist Tolosa and Tsion Fikre and Yazachew Genet and Solomon Chanyalew and Mengistu Demissie and Kebebew Assefa and Habte Jifar and Nigus Belay and Getahun Bekana and Kidu Gebremeskel and Girma Chemeda and Molalign Assefa and Sewagegn Tariku and Zerihun Tadele}, title = {Tef (Eragrostis tef) Variety Development for High Potential Areas of Ethiopia}, journal = {American Journal of Bioscience and Bioengineering}, volume = {10}, number = {2}, pages = {23-28}, doi = {10.11648/j.bio.20221002.11}, url = {https://doi.org/10.11648/j.bio.20221002.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20221002.11}, abstract = {The aims of the experiment are to determine and understand the effect of genotype, environment, and their interaction on grain yield of tef, and to identify and release stable and high yielding tef genotype for high potential areas of country. Twelve tef genotypes including two checks were laid out in randomized complete block design using four replications for two years (2016 and 2017) at twelve representative locations of high potential areas of the country. The trial was conducted on the plot size of 2m*2m with 10 rows per plot throughout all trial sites and 1.5m between replication, 1m between plot, and 20cm between rows. Agronomic and yield data were collected and subjected to statistical analysis in order to identify the best genotypes of the evaluated genotypes. Data from individual environments and combined over twelve locations were analyzed by using R 3.5 software version. The combined data analysis over locations and years indicated that the candidate variety Kaye Murri X 3774-1 (RIL18) performed better than the two checks and the other test genotypes. It gave 7.5% and 10.65% grain yield advantages over the standard check (Quncho) and local check, respectively. The significant genotypes x environments interaction effects indicated the inconsistent performance of genotypes across the tested environments. The candidate variety DZ-Cr-458 (RIL18) is the shortest vector from the AEC axis that identified as the most stable genotype. The National Variety Release Committee in Ethiopia investigated the two-year performance of Kaye Murri X 3774-1 (RIL18) and visited several locations where the new candidate variety was grown for evaluation under variety verification trial. Based on the critiques, the National Variety Release Committee the candidate variety was approved for release Kaye Murri X 3774-1 (RIL18), for high potential areas of the country with the vernacular name of “Ebba” as a standing witnessed for the earliest known tef scientist, Dr. Tadesse Ebba.}, year = {2022} }
TY - JOUR T1 - Tef (Eragrostis tef) Variety Development for High Potential Areas of Ethiopia AU - Worku Kebede AU - Kidist Tolosa AU - Tsion Fikre AU - Yazachew Genet AU - Solomon Chanyalew AU - Mengistu Demissie AU - Kebebew Assefa AU - Habte Jifar AU - Nigus Belay AU - Getahun Bekana AU - Kidu Gebremeskel AU - Girma Chemeda AU - Molalign Assefa AU - Sewagegn Tariku AU - Zerihun Tadele Y1 - 2022/03/18 PY - 2022 N1 - https://doi.org/10.11648/j.bio.20221002.11 DO - 10.11648/j.bio.20221002.11 T2 - American Journal of Bioscience and Bioengineering JF - American Journal of Bioscience and Bioengineering JO - American Journal of Bioscience and Bioengineering SP - 23 EP - 28 PB - Science Publishing Group SN - 2328-5893 UR - https://doi.org/10.11648/j.bio.20221002.11 AB - The aims of the experiment are to determine and understand the effect of genotype, environment, and their interaction on grain yield of tef, and to identify and release stable and high yielding tef genotype for high potential areas of country. Twelve tef genotypes including two checks were laid out in randomized complete block design using four replications for two years (2016 and 2017) at twelve representative locations of high potential areas of the country. The trial was conducted on the plot size of 2m*2m with 10 rows per plot throughout all trial sites and 1.5m between replication, 1m between plot, and 20cm between rows. Agronomic and yield data were collected and subjected to statistical analysis in order to identify the best genotypes of the evaluated genotypes. Data from individual environments and combined over twelve locations were analyzed by using R 3.5 software version. The combined data analysis over locations and years indicated that the candidate variety Kaye Murri X 3774-1 (RIL18) performed better than the two checks and the other test genotypes. It gave 7.5% and 10.65% grain yield advantages over the standard check (Quncho) and local check, respectively. The significant genotypes x environments interaction effects indicated the inconsistent performance of genotypes across the tested environments. The candidate variety DZ-Cr-458 (RIL18) is the shortest vector from the AEC axis that identified as the most stable genotype. The National Variety Release Committee in Ethiopia investigated the two-year performance of Kaye Murri X 3774-1 (RIL18) and visited several locations where the new candidate variety was grown for evaluation under variety verification trial. Based on the critiques, the National Variety Release Committee the candidate variety was approved for release Kaye Murri X 3774-1 (RIL18), for high potential areas of the country with the vernacular name of “Ebba” as a standing witnessed for the earliest known tef scientist, Dr. Tadesse Ebba. VL - 10 IS - 2 ER -