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Author: Michael Olsen
Hugo De Groote Jill Cairns Michael Olsen (2021)
In sub-Saharan Africa, maize is a staple crop but yields remain sub-optimal. A novel hybrid seed technology offers the opportunity to reduce seed production costs and increase yields. This dataset contains data from on-farm and on-station trials collected in 2017 to 2019 in South Africa, Kenya and Zimbabwe to assess this hybrid seed production technology. The results of the analysis are presented in the accompanying article.
Dataset
Prasanna Boddupalli Michael Olsen Yunbi Xu (2021)
Article
Genotyping by Sequencing Multiplexing PCR Sequence Capture in Solution Liquid Chip CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SINGLE NUCLEOTIDE POLYMORPHISM GENOTYPING PCR LINKAGE DISEQUILIBRIUM
Michael Olsen Prasanna Boddupalli Felix San Vicente Garcia XUECAI ZHANG (2021)
Tar spot complex (TSC) is an important foliar disease for tropical maize. The data provided in this dataset were used to estimate the effectiveness of genomic selection for improving TSC resistance. The results of the analysis are reported in the accompanying journal article
Dataset
Michael Olsen Prasanna Boddupalli Felix San Vicente Garcia XUECAI ZHANG (2021)
Significant grain yield losses and poor grain quality can be caused by Common rust a major foliar disease in maize. This dataset provides the genotypic and phenotypic data that were used to perform genome-wide association studies (GWAS) and linkage analysis mapping to dissect the architecture of common rust resistance.
Dataset
Thanda Dhliwayo Edna Mageto Michael Olsen Jose Crossa Prasanna Boddupalli XUECAI ZHANG (2020)
An association-mapping panel (DTMA) and two DH populations (DH1 and DH2) were used in the current study, which in total includes 487 materials. The dataset includes three types of files. One is the genotype of 487 lines sequenced by GbS, named DTMA_DH2_DH3-955690.hmp.txt; one is the genotype of 487 lines sequenced by rAmpSeq named genotype-rAmpSeq.csv; and the third type of files are the phenotypic data files named DH1-phenotype.csv, DH2-phenotype.csv and DTMA-phenotype.csv.
Dataset
Thanda Dhliwayo Michael Olsen Prasanna Boddupalli Felix San Vicente Garcia XUECAI ZHANG (2021)
Article
Common Rust Quantitative Resistance Genome-Wide Association Study Linkage Mapping Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE RUSTS GENOMES CHROMOSOME MAPPING
Ao Zhang Michael Olsen Prasanna Boddupalli Felix San Vicente Garcia XUECAI ZHANG (2021)
Article
Tar Spot Complex Genomic Prediction Genomic Selection Prediction Accuracy Genotyping by Sequencing CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE SPOTS MARKER-ASSISTED SELECTION GENOTYPING
Suresh L.M. Yoseph Beyene Manje Gowda Michael Olsen MacDonald Jumbo Dan Makumbi Mosisa Worku Regasa Francis Mwatuni Prasanna Boddupalli (2021)
Conference object
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PLANT DISEASES DISEASE RESISTANCE PLANT BREEDING
Michael Olsen Veronica Ogugo Berhanu Tadesse Ertiro Suresh L.M. Yoseph Beyene Biswanath Das Prasanna Boddupalli Manje Gowda (2021)
Article
Maize Lethal Necrosis Genome-Wide Association Study F2 Population Selective Genotyping CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PLANT DISEASES GENOMES GENOTYPING DISEASE RESISTANCE
Application of genomic selection at the early stage of breeding pipeline in tropical maize
Yoseph Beyene Manje Gowda Paulino Pérez-Rodríguez Michael Olsen Kelly Robbins Juan Burgueño Prasanna Boddupalli Jose Crossa (2021)
Article
Early-Stage Testing Genomic Selection Prediction Accuracy Tropical Maize GBLUP CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TESTING MARKER-ASSISTED SELECTION MAIZE