Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia

Tafesse Solomon

doi:doi:10.11648/j.ajbio.20221003.12

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Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia

Tafesse Solomon

Published in American Journal of BioScience (Volume 10, Issue 3)

Received: 11 May 2022 Accepted: 2 June 2022 Published: 14 June 2022

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Abstract

Wheat breeding mainly deals with the creation of variation through crossing; selection from consequent generation based on the traits of interest; and phenotypically fixation of traits to develop noble varieties for the farmers. The research center objectively doing, to improve the livelihood of the farmers through delivering high yield, disease resistance, and good quality bread wheat varieties with sufficient quality foundation seeds. The National Wheat Research Program introduced 28^th Semi-Arid Wheat Yield Trial (28^th SAWYT) along with other trials from CIMMYT Mexico. The introduced trial SAWYT had forty-nine genotypes and one empty room for the local check. A local check Kingbird added to the forty-nine genotypes, a total of 50 genotypes planted as SAWYT. The trial was conducted in Alpha Lattice design with two replications. The experiment was carried out at two locations: Kulumsa Agricultural Research Center (KARC) and Melkasa Agricultural Research Center (MARC). Date of Heading (DTH), Date of Maturity (DTM), Plant Height (PHT), and Disease data collected on the field on time. Thousand kernel weight (TKW), Hectoliter weight (HLW), and Grain Yield (GYLD) taken in the laboratory after harvest. Only two genotypes were significantly different at (p < 0.05) from the check variety kingbird for grain yield. Compared to the check, Kingbird, thirty-four genotypes showed better resistance to yellow rust disease (Table 2). Eleven genotypes exhibited better resistance for stem rust than Kingbird (Table 2). Moreover, EBW212106, EBW213073, EBW213074, EBW213077, EBW212110, EBW213087, EBW213106, and EBW213107 revealed resistance for both of wheat rusts than Kingbird. Testing genotype in the right environment enables the breeders to develop and release best bread wheat varieties for the farmers.

Published in	American Journal of BioScience (Volume 10, Issue 3)
DOI	10.11648/j.ajbio.20221003.12
Page(s)	101-105
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

Keywords

Wheat, SAWYT, Kingbird, CIMMYT

References

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[3]	D. Singh, B. Girma, P. Njau, R. Wanyera, A. Badebo, S. Bhavani, R. P. Singh, J. Huerta-Espino, G. Woldeab, R. Ward. Screening for stem rust in East Africa. Oral papers 2009 Technical workshop. P 111-115.
[4]	Olivera Firpo PD, Newcomb M, Szabo LJ, Rouse MN, Johnson JL, Gale SW, et al. Phenotypic and genotypic characterization of race TKTTF of Puccinia graminis f. sp. tritici that caused a wheat stem rust epidemic in southern Ethiopia in 2013/2014. Phytopathology. 2015; 105: 917–928. pmid: 25775107.
[5]	Sanders R. Strategies to reduce the emerging wheat stripe rust disease. Synthesis of a dialog between policy makers and scientists from 31 countries at: international wheat stripe rust symposium. Aleppo, Syria: International Center for Agricultural Research in the Dry Areas (ICARDA); 2011.
[6]	David Hudson. Rust Tracker. Org (2010). Ethiopian Rust survey summary Serious yellow rust epidemic. Retrieved on 10 May 2022, 2022 from https://rusttracker.cimmyt.org/?p=3725
[7]	J. R. Stavely. The Modified Cobb Scale for Estimating Bean Rust Intensity. USDA, ARS, Beltsville Agricultural Research Center-West Beltsville, MD 20705.
[8]	Peterson, R. F., Campbell, A. G., and Hannah, A. E. 1948. A diagrammatic scale for estimating rust intensity on leaves and stems of cereals. Can. J. Res., Sec. C, 26: 496-500.
[9]	Roelfs AP, Singh RP, Saari EE (1992). The Wheat rust. In Rust diseases of wheat: Concepts and methods of disease management, pp. 2-6. Mexico, D. F: CIMMYT.
[10]	Alemu Ayele, Getnet Muche. Yield Loss Assessment in Bread Wheat Varieties Caused by Yellow Rust (Puccinia striiformis f. sp. tritici) in Arsi Highlands of South Eastern Ethiopia. American Journal of BioScience. Vol. 7, No. 6, 2019, pp. 104-112. doi: 10.11648/j.ajbio.20190706.14.
[11]	Moore, K., R. Mowers, M. L. Harbur, and L. Merrick. 2016. The Analysis of Variance (ANOVA). In Quantitative Methods, interactive e-learning courseware. Plant Breeding E-Learning in Africa. Retrieved from https://pbea.agron.iastate.edu.
[12]	Stephanie Glen "How to Calculate the Least Significant Difference (LSD)" From StatisticsHowTo.com: Elementary Statistics for the rest of us! https://www.statisticshowto.com/how-to-calculate-the-least-significant-difference-lsd/
[13]	R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
[14]	Bezawit Yilma (2022). An overview of wheat productivity, import value and consumption in Ethiopia. Global Scientific journals. Volume 10, issue 3 pp 815-823.
[15]	Electronic, World population review. (2022). Wheat production by country. Retrieved 10 May 2022 A, from https://worldpopulationreview.com/country-rankings/wheat-production-by-country

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Tafesse Solomon. (2022). Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia. American Journal of BioScience, 10(3), 101-105. https://doi.org/10.11648/j.ajbio.20221003.12

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Tafesse Solomon. Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia. Am. J. BioScience 2022, 10(3), 101-105. doi: 10.11648/j.ajbio.20221003.12

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Tafesse Solomon. Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia. Am J BioScience. 2022;10(3):101-105. doi: 10.11648/j.ajbio.20221003.12

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@article{10.11648/j.ajbio.20221003.12,
  author = {Tafesse Solomon},
  title = {Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia},
  journal = {American Journal of BioScience},
  volume = {10},
  number = {3},
  pages = {101-105},
  doi = {10.11648/j.ajbio.20221003.12},
  url = {https://doi.org/10.11648/j.ajbio.20221003.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbio.20221003.12},
  abstract = {Wheat breeding mainly deals with the creation of variation through crossing; selection from consequent generation based on the traits of interest; and phenotypically fixation of traits to develop noble varieties for the farmers. The research center objectively doing, to improve the livelihood of the farmers through delivering high yield, disease resistance, and good quality bread wheat varieties with sufficient quality foundation seeds. The National Wheat Research Program introduced 28th Semi-Arid Wheat Yield Trial (28th SAWYT) along with other trials from CIMMYT Mexico. The introduced trial SAWYT had forty-nine genotypes and one empty room for the local check. A local check Kingbird added to the forty-nine genotypes, a total of 50 genotypes planted as SAWYT. The trial was conducted in Alpha Lattice design with two replications. The experiment was carried out at two locations: Kulumsa Agricultural Research Center (KARC) and Melkasa Agricultural Research Center (MARC). Date of Heading (DTH), Date of Maturity (DTM), Plant Height (PHT), and Disease data collected on the field on time. Thousand kernel weight (TKW), Hectoliter weight (HLW), and Grain Yield (GYLD) taken in the laboratory after harvest. Only two genotypes were significantly different at (p < 0.05) from the check variety kingbird for grain yield. Compared to the check, Kingbird, thirty-four genotypes showed better resistance to yellow rust disease (Table 2). Eleven genotypes exhibited better resistance for stem rust than Kingbird (Table 2). Moreover, EBW212106, EBW213073, EBW213074, EBW213077, EBW212110, EBW213087, EBW213106, and EBW213107 revealed resistance for both of wheat rusts than Kingbird. Testing genotype in the right environment enables the breeders to develop and release best bread wheat varieties for the farmers.},
 year = {2022}
}

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TY - JOUR
T1 - Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia
AU - Tafesse Solomon
Y1 - 2022/06/14
PY - 2022
N1 - https://doi.org/10.11648/j.ajbio.20221003.12
DO - 10.11648/j.ajbio.20221003.12
T2 - American Journal of BioScience
JF - American Journal of BioScience
JO - American Journal of BioScience
SP - 101
EP - 105
PB - Science Publishing Group
SN - 2330-0167
UR - https://doi.org/10.11648/j.ajbio.20221003.12
AB - Wheat breeding mainly deals with the creation of variation through crossing; selection from consequent generation based on the traits of interest; and phenotypically fixation of traits to develop noble varieties for the farmers. The research center objectively doing, to improve the livelihood of the farmers through delivering high yield, disease resistance, and good quality bread wheat varieties with sufficient quality foundation seeds. The National Wheat Research Program introduced 28th Semi-Arid Wheat Yield Trial (28th SAWYT) along with other trials from CIMMYT Mexico. The introduced trial SAWYT had forty-nine genotypes and one empty room for the local check. A local check Kingbird added to the forty-nine genotypes, a total of 50 genotypes planted as SAWYT. The trial was conducted in Alpha Lattice design with two replications. The experiment was carried out at two locations: Kulumsa Agricultural Research Center (KARC) and Melkasa Agricultural Research Center (MARC). Date of Heading (DTH), Date of Maturity (DTM), Plant Height (PHT), and Disease data collected on the field on time. Thousand kernel weight (TKW), Hectoliter weight (HLW), and Grain Yield (GYLD) taken in the laboratory after harvest. Only two genotypes were significantly different at (p < 0.05) from the check variety kingbird for grain yield. Compared to the check, Kingbird, thirty-four genotypes showed better resistance to yellow rust disease (Table 2). Eleven genotypes exhibited better resistance for stem rust than Kingbird (Table 2). Moreover, EBW212106, EBW213073, EBW213074, EBW213077, EBW212110, EBW213087, EBW213106, and EBW213107 revealed resistance for both of wheat rusts than Kingbird. Testing genotype in the right environment enables the breeders to develop and release best bread wheat varieties for the farmers.
VL - 10
IS - 3
ER -

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Tafesse Solomon

National Wheat Research Program, Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Asela, Ethiopia

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APA Style

Tafesse Solomon. (2022). Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia. American Journal of BioScience, 10(3), 101-105. https://doi.org/10.11648/j.ajbio.20221003.12

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ACS Style

Tafesse Solomon. Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia. Am. J. BioScience 2022, 10(3), 101-105. doi: 10.11648/j.ajbio.20221003.12

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AMA Style

Tafesse Solomon. Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia. Am J BioScience. 2022;10(3):101-105. doi: 10.11648/j.ajbio.20221003.12

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@article{10.11648/j.ajbio.20221003.12,
  author = {Tafesse Solomon},
  title = {Selection of Bread Wheat Genotypes from Semi-Arid Wheat Yield Trial for Wheat Breeding Program Pipeline in Ethiopia},
  journal = {American Journal of BioScience},
  volume = {10},
  number = {3},
  pages = {101-105},
  doi = {10.11648/j.ajbio.20221003.12},
  url = {https://doi.org/10.11648/j.ajbio.20221003.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbio.20221003.12},
  abstract = {Wheat breeding mainly deals with the creation of variation through crossing; selection from consequent generation based on the traits of interest; and phenotypically fixation of traits to develop noble varieties for the farmers. The research center objectively doing, to improve the livelihood of the farmers through delivering high yield, disease resistance, and good quality bread wheat varieties with sufficient quality foundation seeds. The National Wheat Research Program introduced 28th Semi-Arid Wheat Yield Trial (28th SAWYT) along with other trials from CIMMYT Mexico. The introduced trial SAWYT had forty-nine genotypes and one empty room for the local check. A local check Kingbird added to the forty-nine genotypes, a total of 50 genotypes planted as SAWYT. The trial was conducted in Alpha Lattice design with two replications. The experiment was carried out at two locations: Kulumsa Agricultural Research Center (KARC) and Melkasa Agricultural Research Center (MARC). Date of Heading (DTH), Date of Maturity (DTM), Plant Height (PHT), and Disease data collected on the field on time. Thousand kernel weight (TKW), Hectoliter weight (HLW), and Grain Yield (GYLD) taken in the laboratory after harvest. Only two genotypes were significantly different at (p < 0.05) from the check variety kingbird for grain yield. Compared to the check, Kingbird, thirty-four genotypes showed better resistance to yellow rust disease (Table 2). Eleven genotypes exhibited better resistance for stem rust than Kingbird (Table 2). Moreover, EBW212106, EBW213073, EBW213074, EBW213077, EBW212110, EBW213087, EBW213106, and EBW213107 revealed resistance for both of wheat rusts than Kingbird. Testing genotype in the right environment enables the breeders to develop and release best bread wheat varieties for the farmers.},
 year = {2022}
}

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