M
Michael Olsen
Researcher at International Maize and Wheat Improvement Center
Publications - 75
Citations - 4452
Michael Olsen is an academic researcher from International Maize and Wheat Improvement Center. The author has contributed to research in topics: Population & Quantitative trait locus. The author has an hindex of 26, co-authored 72 publications receiving 3037 citations. Previous affiliations of Michael Olsen include World Agroforestry Centre & United Nations.
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Journal ArticleDOI
Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement
TL;DR: An overview of the different aspects of the KASP genotyping platform is provided, its application in crop improvement, and a comparison with the chip-based Illumina GoldenGate platform is compared.
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Translating High-Throughput Phenotyping into Genetic Gain
TL;DR: This review will provide a wide perspective on how field phenotyping is best implemented and outline how to bridge the gap between breeders and ‘phenotypers’ in an effective manner.
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.
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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.
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Genome-Wide Analysis of Tar Spot Complex Resistance in Maize Using Genotyping-by-Sequencing SNPs and Whole-Genome Prediction
Shiliang Cao,Alexander Loladze,Yibing Yuan,Yongsheng Wu,Ao Zhang,Jiafa Chen,Gordon Huestis,Jingsheng Cao,Vijay Chaikam,Michael Olsen,Boddupalli M. Prasanna,Felix San Vicente,Xuecai Zhang +12 more
TL;DR: Major QTL on bin 8.03 confirmed by association and linkage mapping indicates TSC resistance in tropical maize could be improved by MAS and GS individually or stepwise.