Fred A van Eeuwijk
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Explore the profile of Fred A van Eeuwijk including associated specialties, affiliations and a list of published articles.
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66
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1883
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Recent Articles
11.
Li W, Boer M, van Rossum B, Zheng C, Joosen R, van Eeuwijk F
Bioinformatics
. 2022 Oct;
38(22):5134-5136.
PMID: 36193999
Motivation: Multi-parent populations (MPPs) are popular for QTL mapping because they combine wide genetic diversity in parents with easy control of population structure, but a limited number of software tools...
12.
Bustos-Korts D, Boer M, Layton J, Gehringer A, Tang T, Wehrens R, et al.
Theor Appl Genet
. 2022 May;
135(6):2059-2082.
PMID: 35524815
We evaluate self-organizing maps (SOM) to identify adaptation zones and visualize multi-environment genotypic responses. We apply SOM to multiple traits and crop growth model output of large-scale European sunflower data....
13.
Adams J, de Vries M, Zheng C, van Eeuwijk F
G3 (Bethesda)
. 2022 Apr;
12(6).
PMID: 35460241
Hybrid potato breeding has become a novel alternative to conventional potato breeding allowing breeders to overcome intractable barriers (e.g. tetrasomic inheritance, masked deleterious alleles, obligate clonal propagation) with the benefit...
14.
Perez-Valencia D, Rodriguez-Alvarez M, Boer M, Kronenberg L, Hund A, Cabrera-Bosquet L, et al.
Sci Rep
. 2022 Feb;
12(1):3177.
PMID: 35210494
High throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical...
15.
Li W, Boer M, Zheng C, Joosen R, van Eeuwijk F
Theor Appl Genet
. 2021 Aug;
134(11):3643-3660.
PMID: 34342658
The identity-by-descent (IBD)-based mixed model approach introduced in this study can detect quantitative trait loci (QTLs) referring to the parental origin and simultaneously account for multilevel relatedness of individuals within...
16.
Arouisse B, Theeuwen T, van Eeuwijk F, Kruijer W
Front Genet
. 2021 Jun;
12:667358.
PMID: 34108993
In the past decades, genomic prediction has had a large impact on plant breeding. Given the current advances of high-throughput phenotyping and sequencing technologies, it is increasingly common to observe...
17.
Malosetti M, Zwep L, Forrest K, van Eeuwijk F, Dieters M
Theor Appl Genet
. 2020 Dec;
134(3):897-908.
PMID: 33367942
Much has been published on QTL detection for complex traits using bi-parental and multi-parental crosses (linkage analysis) or diversity panels (GWAS studies). While successful for detection, transferability of results to...
18.
Horgan G, Song Y, Glasbey C, van der Heijden G, Polder G, Anja Dieleman J, et al.
Funct Plant Biol
. 2020 Jun;
42(5):486-492.
PMID: 32480694
High-throughput automated plant phenotyping has recently received a lot of attention. Leaf area is an important characteristic in understanding plant performance, but time-consuming and destructive to measure accurately. In this...
19.
Kruijer W, Behrouzi P, Bustos-Korts D, Rodriguez-Alvarez M, Mahmoudi S, Yandell B, et al.
Genetics
. 2020 Feb;
214(4):781-807.
PMID: 32015018
Genetic variance of a phenotypic trait can originate from direct genetic effects, or from indirect effects, , through genetic effects on other traits, affecting the trait of interest. This distinction...
20.
Hunt C, Hayes B, van Eeuwijk F, Mace E, Jordan D
Theor Appl Genet
. 2020 Jan;
133(3):1009-1018.
PMID: 31907563
Multi-environment models using marker-based kinship information for both additive and dominance effects can accurately predict hybrid performance in different environments. Sorghum is an important hybrid crop that is grown extensively...