Home › Researcher directory › Michael Scott Olsen
Michael Scott Olsen
Affiliation : International Maize and Wheat Improvement Center · World Agroforestry Centre
- 52Publications (affiliation in Kenya)
Research profile
Michael Scott Olsen has 52 indexed publications (2014–2022). Their work appears mainly in “Frontiers in Plant Science”, “Theoretical and Applied Genetics” and “Euphytica”. Their most cited article, “Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction” (2022), has been cited 369 times. 23 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in India, Mexico, Ethiopia, Bangladesh.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsPublications (52)
- Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
- Relationship between Grain Yield and Quality Traits under Optimum and Low-Nitrogen Stress Environments in Tropical Maize
- Identification and fine mapping of a major QTL (qRtsc8-1) conferring resistance to maize tar spot complex and validation of production markers in breeding lines
- Identification of Genomic Regions Associated with Agronomic and Disease Resistance Traits in a Large Set of Multiple DH Populations
- Association mapping of resistance to tar spot complex in maize
- Low-Density Reference Fingerprinting SNP Dataset of CIMMYT Maize Lines for Quality Control and Genetic Diversity Analyses
- Development of high-resolution multiple-SNP arrays for genetic analyses and molecular breeding through genotyping by target sequencing and liquid chip
- Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize
- Genetic dissection of Striga hermonthica (Del.) Benth. resistance via genome-wide association and genomic prediction in tropical maize germplasm
- Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage
- Genetic Dissection of Quantitative Resistance to Common Rust (Puccinia sorghi) in Tropical Maize (Zea mays L.) by Combined Genome-Wide Association Study, Linkage Mapping, and Genomic Prediction
- Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize
- Discovery and Validation of a Recessively Inherited Major-Effect QTL Conferring Resistance to Maize Lethal Necrosis (MLN) Disease
- Introgression of Maize Lethal Necrosis Resistance Quantitative Trait Loci Into Susceptible Maize Populations and Validation of the Resistance Under Field Conditions in Naivasha, Kenya
- Genomic Prediction of Resistance to Tar Spot Complex of Maize in Multiple Populations Using Genotyping-by-Sequencing SNPs
- Genome-wide association study and genomic prediction of Fusarium ear rot resistance in tropical maize germplasm
- Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia
- Genetic Dissection of Nitrogen Use Efficiency in Tropical Maize Through Genome-Wide Association and Genomic Prediction
- Genomic Prediction of Kernel Zinc Concentration in Multiple Maize Populations Using Genotyping-by-Sequencing and Repeat Amplification Sequencing Markers
- Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping, and Genomic Prediction in Tropical Maize Germplasm
- Genomic prediction across years in a maize doubled haploid breeding program to accelerate early-stage testcross testing
- Combination of Linkage Mapping, GWAS, and GP to Dissect the Genetic Basis of Common Rust Resistance in Tropical Maize Germplasm
- Efficiency of indirect selection for grain yield in maize (Zea mays L.) under low nitrogen conditions through secondary traits under low nitrogen and grain yield under optimum conditions
- Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants
- Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize
- Empirical Comparison of Tropical Maize Hybrids Selected Through Genomic and Phenotypic Selections
- Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm
- On-farm performance and farmers’ participatory assessment of new stress-tolerant maize hybrids in Eastern Africa
- Performance and yield stability of maize hybrids in stress-prone environments in eastern Africa
- Genetic Analysis of QTL for Resistance to Maize Lethal Necrosis in Multiple Mapping Populations
- Identification of donors for low-nitrogen stress with maize lethal necrosis (MLN) tolerance for maize breeding in sub-Saharan Africa
- Factors affecting genomic selection revealed by empirical evidence in maize
- High-throughput method for ear phenotyping and kernel weight estimation in maize using ear digital imaging
- Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations
- Enhancing genetic gain in the era of molecular breeding
- Genome‐Wide Analysis of Tar Spot Complex Resistance in Maize Using Genotyping‐by‐Sequencing SNPs and Whole‐Genome Prediction
- Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations
- Rapid Cycling Genomic Selection in a Multiparental Tropical Maize Population
- Combining ability and testcross performance of drought‐tolerant maize inbred lines under stress and non‐stress environments in Kenya
- Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease
- Genetic variation and population structure of maize inbred lines adapted to the mid-altitude sub-humid maize agro-ecology of Ethiopia using single nucleotide polymorphic (SNP) markers
- Genomic Prediction in a Large African Maize Population
- Molecular characterization of CIMMYT maize inbred lines with genotyping-by-sequencing SNPs
- Genome‐wide Association for Plant Height and Flowering Time across 15 Tropical Maize Populations under Managed Drought Stress and Well‐Watered Conditions in Sub‐Saharan Africa
- Grain yield performance and flowering synchrony of CIMMYT’s tropical maize (Zea mays L.) parental inbred lines and single crosses
- Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize
- Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm
- Improving Maize Grain Yield under Drought Stress and Non‐stress Environments in Sub‐Saharan Africa using Marker‐Assisted Recurrent Selection
- Comparison of Kompetitive Allele Specific PCR (KASP) and genotyping by sequencing (GBS) for quality control analysis in maize
- Fine mapping of Msv1, a major QTL for resistance to Maize Streak Virus leads to development of production markers for breeding pipelines
- Performance and grain yield stability of maize populations developed using marker-assisted recurrent selection and pedigree selection procedures
- Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi‐parental Maize Populations under Drought Stress
Publication venues
- Frontiers in Plant Science × 12
- Theoretical and Applied Genetics × 7
- Euphytica × 5
- The Crop Journal × 4
- Crop Science × 4
- Genes × 2
Publications per year
- 20226
- 20219
- 20208
- 20198
- 20183
- 20178
- 20163
- 20156
- 20141
Collaborations
Partner institutions : Centro Internacional de Mejoramiento de Maíz Y Trigo · African Agricultural Technology Foundation · Jomo Kenyatta University of Agriculture and Technology · Kenya Agricultural and Livestock Research Organization · University of Eldoret
Co-authors’ countries : India · Mexico · Ethiopia · Bangladesh
Co-authors
- Boddupalli Maruthi Prasanna
- Yoseph Beyene
- Manje Gowda
- Biswanath Das
- Dan Makumbi
- Stephen Mugo
- L. M. Suresh
- Kassa Semagn
- Amsal Tarekegne
- Sylvester Ojo Oikeh
- Veronica Ogugo
- Mosisa Worku
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.