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Amsal Tarekegne
Researcher at International Maize and Wheat Improvement Center
Publications - 39
Citations - 1711
Amsal Tarekegne is an academic researcher from International Maize and Wheat Improvement Center. The author has contributed to research in topics: Biology & Hybrid. The author has an hindex of 17, co-authored 33 publications receiving 1303 citations. Previous affiliations of Amsal Tarekegne include CGIAR.
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Journal ArticleDOI
Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments
Vanessa S. Windhausen,Gary Atlin,John M. Hickey,José Crossa,Jean-Luc Jannink,Mark E. Sorrells,Babu Raman,Jill E. Cairns,Amsal Tarekegne,Kassa Semagn,Yoseph Beyene,Pichet Grudloyma,Frank Technow,Christian Riedelsheimer,Albrecht E. Melchinger +14 more
TL;DR: In this paper, marker effects estimated in 255 diverse maize (Zea mays L.) hybrids were used to predict grain yield, anthesis date, and anthesis-silking interval within the diversity panel and testcross progenies of 30 F2-derived lines from each of five populations.
Journal ArticleDOI
Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress
Yoseph Beyene,Kassa Semagn,Stephen Mugo,Amsal Tarekegne,Raman Babu,Barbara Meisel,Pierre Sehabiague,Dan Makumbi,Cosmos Magorokosho,Sylvester O. Oikeh,John Gakunga,Mateo Vargas,Michael Olsen,Boddupalli M. Prasanna,Marianne Bänziger,José Crossa +15 more
TL;DR: It is demonstrated that genomic selection is more effective than pedigree-based conventional phenotypic selection for increasing genetic gains in grain yield under drought stress in tropical maize.
Journal ArticleDOI
Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize
Mainassara Zaman-Allah,Omar Vergara,José Luis Araus,Amsal Tarekegne,Cosmos Magorokosho,Pablo J. Zarco-Tejada,Alberto Hornero,A Hernández Albà,Biswajit Das,Peter Craufurd,Michael Olsen,Boddupalli M. Prasanna,Jill E. Cairns +12 more
TL;DR: The aerial sensing platform designed for phenotyping studies has the potential to effectively assist in crop genetic improvement against abiotic stresses like low-N provided that sensors have enough resolution for plot level data collection.
Journal ArticleDOI
Meta-analyses of QTL for grain yield and anthesis silking interval in 18 maize populations evaluated under water-stressed and well-watered environments
Kassa Semagn,Yoseph Beyene,Marilyn L. Warburton,Amsal Tarekegne,Stephen Mugo,Barbara Meisel,Pierre Sehabiague,Boddupalli M. Prasanna +7 more
TL;DR: This is the first extensive report on meta-analysis of data from over 3100 individuals genotyped using the same SNP platform and evaluated in the same conditions across a wide range of managed water-stressed and well-watered environments.
Journal ArticleDOI
High-Throughput Phenotyping of Canopy Cover and Senescence in Maize Field Trials Using Aerial Digital Canopy Imaging.
Richard Makanza,Mainassara Zaman-Allah,Jill E. Cairns,Cosmos Magorokosho,Amsal Tarekegne,Michael Olsen,Boddupalli M. Prasanna +6 more
TL;DR: The UAV-based aerial sensing platforms have great potential for monitoring the dynamics of crop canopy characteristics like crop vigor through ground canopy cover and canopy senescence in breeding trial plots, and are anticipated to assist in improving selection efficiency through higher accuracy and precision, as well as reduced time and cost of data collection.