Jeremie Vandenplas
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Explore the profile of Jeremie Vandenplas including associated specialties, affiliations and a list of published articles.
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Articles
38
Citations
366
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Recent Articles
1.
Ojo T, Vandenplas J, Mulder H, van Pelt M, Calus M
J Dairy Sci
. 2024 Dec;
108(2):1699-1713.
PMID: 39694253
This study aimed to use temperature-humidity index (THI) as an indicator for assessing heat stress conditions for fertility traits in the Holstein dairy cattle breed in the Netherlands. Data from...
2.
Freudenberg A, Vandenplas J, Schlather M, Pook T, Evans R, Ten Napel J
Front Genet
. 2023 Sep;
14:1220408.
PMID: 37662837
In the last decade, a number of methods have been suggested to deal with large amounts of genetic data in genomic predictions. Yet, steadily growing population sizes and the suboptimal...
3.
Bonifazi R, Calus M, Ten Napel J, Veerkamp R, Biffani S, Cassandro M, et al.
Genet Sel Evol
. 2023 Jun;
55(1):41.
PMID: 37308814
Background: International evaluations combine data from different countries allowing breeders to have access to larger panels of elite bulls and to increase the accuracy of estimated breeding values (EBV). However,...
4.
Vandenplas J, Ten Napel J, Darbaghshahi S, Evans R, Calus M, Veerkamp R, et al.
Genet Sel Evol
. 2023 Jun;
55(1):37.
PMID: 37291510
Background: Single-step genomic best linear unbiased prediction (ssGBLUP) models allow the combination of genomic, pedigree, and phenotypic data into a single model, which is computationally challenging for large genotyped populations....
5.
Aldridge M, Vandenplas J, Duenk P, Henshall J, Hawken R, Calus M
Genet Sel Evol
. 2023 Mar;
55(1):19.
PMID: 36949392
Background: In genomic prediction, it is common to centre the genotypes of single nucleotide polymorphisms based on the allele frequencies in the current population, rather than those in the base...
6.
Jibrila I, Ten Napel J, Vandenplas J, Bergsma R, Veerkamp R, Calus M
J Anim Breed Genet
. 2023 Jan;
140(3):253-263.
PMID: 36637041
We have previously shown that single-step genomic best linear unbiased prediction (ssGBLUP) estimates breeding values of genomically preselected animals without preselection bias for widely recorded traits, that is traits recorded...
7.
Ben Zaabza H, Van Tassell C, Vandenplas J, VanRaden P, Liu Z, Eding H, et al.
J Dairy Sci
. 2022 Dec;
106(3):1518-1532.
PMID: 36567247
The calculation of exact reliabilities involving the inversion of mixed model equations poses a heavy computational challenge when the system of equations is large. This has prompted the development of...
8.
Bonifazi R, Calus M, Ten Napel J, Veerkamp R, Michenet A, Savoia S, et al.
Genet Sel Evol
. 2022 Sep;
54(1):57.
PMID: 36057564
Background: Compared to national evaluations, international collaboration projects further improve accuracies of estimated breeding values (EBV) by building larger reference populations or performing a joint evaluation using data (or proxy...
9.
Jibrila I, Vandenplas J, Ten Napel J, Bergsma R, Veerkamp R, Calus M
Genet Sel Evol
. 2022 Jun;
54(1):48.
PMID: 35764921
Background: Empirically assessing the impact of preselection on genetic evaluation of preselected animals requires comparing scenarios that take different approaches into account, including scenarios without preselection. However, preselection is almost...
10.
Calus M, Henshall J, Hawken R, Vandenplas J
Genet Sel Evol
. 2022 Jun;
54(1):44.
PMID: 35705918
Background: In genomic prediction including data of 3- or 4-way crossbred animals, line composition is usually fitted as a regression on expected line proportions, which are 0.5, 0.25 and 0.25,...