Michael Olsen
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Explore the profile of Michael Olsen including associated specialties, affiliations and a list of published articles.
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69
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966
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Recent Articles
1.
Voss R, Cairns J, Olsen M, Muteti F, Magambo Kanyenji G, Hamadziripi E, et al.
Front Sociol
. 2023 Oct;
8:1254595.
PMID: 37794859
The integration of gender concerns in crop breeding programs aims to improve the suitability and appeal of new varieties to both women and men, in response to concerns about unequal...
2.
Qu J, Chassaigne-Ricciulli A, Fu F, Yu H, Dreher K, Nair S, et al.
Plants (Basel)
. 2022 Nov;
11(22).
PMID: 36432819
CIMMYT maize lines (CMLs), which represent the tropical maize germplasm, are freely available worldwide. All currently released 615 CMLs and fourteen temperate maize inbred lines were genotyped with 180 kompetitive...
3.
Ren J, Wu P, Huestis G, Zhang A, Qu J, Liu Y, et al.
Theor Appl Genet
. 2022 Feb;
135(5):1551-1563.
PMID: 35181836
A major QTL of qRtsc8-1 conferring TSC resistance was identified and fine mapped to a 721 kb region on chromosome 8 at 81 Mb, and production markers were validated in...
4.
Xiong S, Peoples N, Ostbye T, Olsen M, Zhong X, Wainaina C, et al.
J Hum Hypertens
. 2022 Jan;
37(1):74-79.
PMID: 35046496
Suboptimal medication adherence is a major barrier to hypertension control in Kenya, especially among informal urban settlement areas (sometimes referred to as "slums"). The few studies that have specifically explored...
5.
Cao S, Song J, Yuan Y, Zhang A, Ren J, Liu Y, et al.
Front Plant Sci
. 2021 Aug;
12:672525.
PMID: 34335648
Tar spot complex (TSC) is one of the most important foliar diseases in tropical maize. TSC resistance could be furtherly improved by implementing marker-assisted selection (MAS) and genomic selection (GS)...
6.
Ren J, Li Z, Wu P, Zhang A, Liu Y, Hu G, et al.
Front Plant Sci
. 2021 Jul;
12:692205.
PMID: 34276741
Common rust is one of the major foliar diseases in maize, leading to significant grain yield losses and poor grain quality. To dissect the genetic architecture of common rust resistance,...
7.
Beyene Y, Gowda M, Perez-Rodriguez P, Olsen M, Robbins K, Burgueno J, et al.
Front Plant Sci
. 2021 Jul;
12:685488.
PMID: 34262585
In maize, doubled haploid (DH) line production capacity of large-sized maize breeding programs often exceeds the capacity to phenotypically evaluate the complete set of testcross candidates in multi-location trials. The...
8.
Atanda S, Olsen M, Crossa J, Burgueno J, Rincent R, Dzidzienyo D, et al.
Front Plant Sci
. 2021 Jul;
12:658978.
PMID: 34239521
To enable a scalable sparse testing genomic selection (GS) strategy at preliminary yield trials in the CIMMYT maize breeding program, optimal approaches to incorporate genotype by environment interaction (GEI) in...
9.
Atanda S, Olsen M, Burgueno J, Crossa J, Dzidzienyo D, Beyene Y, et al.
Theor Appl Genet
. 2020 Oct;
134(1):279-294.
PMID: 33037897
Historical data from breeding programs can be efficiently used to improve genomic selection accuracy, especially when the training set is optimized to subset individuals most informative of the target testing...
10.
Wang N, Wang H, Zhang A, Liu Y, Yu D, Hao Z, et al.
Theor Appl Genet
. 2020 Jul;
133(10):2869-2879.
PMID: 32607592
Genomic selection with a multiple-year training population dataset could accelerate early-stage testcross testing by skipping the first-stage yield testing, which significantly saves the time and cost of early-stage testcross testing....