Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Johannes W. Kruisselbrink"'
Autor:
Maarten A. Jongsma, Manus P. M. Thoen, Leo M. Poleij, Gerrie L. Wiegers, Paul W. Goedhart, Marcel Dicke, Lucas P. J. J. Noldus, Johannes W. Kruisselbrink
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
Host-plant resistance to insects like thrips and aphids is a complex trait that is difficult to phenotype quickly and reliably. Here, we introduce novel hardware and software to facilitate insect choice assays and automate the acquisition and analysi
Externí odkaz:
https://doaj.org/article/d1ab6d1b14ac493aadbe1bc50d2e490b
Autor:
Stijn Vanderzande, Nicholas P Howard, Lichun Cai, Cassia Da Silva Linge, Laima Antanaviciute, Marco C A M Bink, Johannes W Kruisselbrink, Nahla Bassil, Ksenija Gasic, Amy Iezzoni, Eric Van de Weg, Cameron Peace
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0210928 (2019)
High-quality genotypic data is a requirement for many genetic analyses. For any crop, errors in genotype calls, phasing of markers, linkage maps, pedigree records, and unnoticed variation in ploidy levels can lead to spurious marker-locus-trait assoc
Externí odkaz:
https://doaj.org/article/2c5af91ffcef44a1979ee03b8c9562dd
Autor:
Thomas Exner, Mirjam Luijten, Julia Pletz, M.E. Bette Meek, Johannes W. Kruisselbrink, Mark T. D. Cronin, Alicia Paini, Caroline Gomes, David Asturiol, Clemens Wittwehr, Andreas Schüttler, Andrew Worth, Wang Gao, Daniel L. Villeneuve, Ivana Campia, Nicoleta Spinu, Marvin Martens, Stefan Scholz, David Pamies, Lidia Ceriani
Publikováno v:
Computational Toxicology, 21:100195. Elsevier BV
Computational Toxicology
Computational Toxicology, 2021, pp.100195. ⟨10.1016/j.comtox.2021.100195⟩
Computational Toxicology, 21
Computational Toxicology 21 (2022)
Computational Toxicology
Computational Toxicology, 2021, pp.100195. ⟨10.1016/j.comtox.2021.100195⟩
Computational Toxicology, 21
Computational Toxicology 21 (2022)
International audience; The adverse outcome pathway (AOP) is a conceptual construct that facilitates organisation and interpretation of mechanistic data representing multiple biological levels and deriving from a range of methodological approaches in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::286bd34c19b0b3674e1eccdeb370c89e
https://cris.maastrichtuniversity.nl/en/publications/fc1078fe-bf3c-44a7-8d22-55b77805b0ff
https://cris.maastrichtuniversity.nl/en/publications/fc1078fe-bf3c-44a7-8d22-55b77805b0ff
Autor:
Johannes W. Kruisselbrink, H. van der Voet, R.C. Sprong, Matthijs Sam, J.D. van Klaveren, M van Lenthe, G. van Donkersgoed, W.J. de Boer, J.D. te Biesebeek
Publikováno v:
EFSA Supporting Publications, 18(4)
EFSA Supporting Publications 18 (2021) 4
EFSA Supporting Publications 18 (2021) 4
This report describes the potential impact of a prioritisation method on the outcome of cumulative exposure assessments of pesticides. The method aims to reduce the laborious task of the establishment of cumulative assessment groups (CRAs). The prior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdcad2f36563cb0ef9e9df0fc54d8842
https://research.wur.nl/en/publications/potential-impact-of-prioritisation-methods-on-the-outcome-of-cumu
https://research.wur.nl/en/publications/potential-impact-of-prioritisation-methods-on-the-outcome-of-cumu
Autor:
Marco S. van Lenthe, Hilko van der Voet, Jacob D. van Klaveren, Waldo J. de Boer, Johannes W. Kruisselbrink
Publikováno v:
EFSA Supporting Publications, 18(4)
EFSA Supporting Publications 18 (2021) 4
EFSA Supporting Publications 18 (2021) 4
This report presents the results of a feasibility study for improving transparency and accessibility of the models implemented in the Monte Carlo Risk Assessment (MCRA) web platform for assessing the risk of combined exposure to multiple chemicals vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::963bd82a6c4fd8f26a7c04bb872d34ea
https://research.wur.nl/en/publications/feasibility-study-open-mcra
https://research.wur.nl/en/publications/feasibility-study-open-mcra
Autor:
Waldo J. de Boer, Johannes W. Kruisselbrink, Vikas Kumar, Céline Brochot, Emiel Rorije, Hilko van der Voet, Cleo Tebby, Georges de Sousa, Moosa Faniband, Angelo Moretto, Frédéric Y. Bois
Publikováno v:
Food and Chemical Toxicology
Food and Chemical Toxicology, 2020, 142, ⟨10.1016/j.fct.2020.111440⟩
Food and Chemical Toxicology 142 (2020)
Food and Chemical Toxicology, 142
Food and Chemical Toxicology, Elsevier, 2020, 142, ⟨10.1016/j.fct.2020.111440⟩
Food and Chemical Toxicology, 2020, 142, ⟨10.1016/j.fct.2020.111440⟩
Food and Chemical Toxicology 142 (2020)
Food and Chemical Toxicology, 142
Food and Chemical Toxicology, Elsevier, 2020, 142, ⟨10.1016/j.fct.2020.111440⟩
International audience; Physiologically-based toxicokinetic (PBTK) models are important tools for in vitro to in vivo or inter-species extrapolations in health risk assessment of foodborne and non-foodborne chemicals. Here we present a generic PBTK m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42bec9ff2c0863eeca291af044a5149c
http://hdl.handle.net/10029/623888
http://hdl.handle.net/10029/623888
Autor:
Corinne Sprong, Andy Hart, Johannes W. Kruisselbrink, Marco S. van Lenthe, Marc C. Kennedy, Hilko van der Voet, Emiel Rorije, Waldo J. de Boer, Jacob D. van Klaveren
Publikováno v:
Food and Chemical Toxicology 138 (2020)
Food and Chemical Toxicology, 138
Food and Chemical Toxicology, 138
Mixtures of substances to which humans are exposed may lead to cumulative exposure and health effects. To study their effects, it is first necessary to identify a cumulative assessment group (CAG) of substances for risk assessment or hazard testing.
Autor:
Johannes W. Kruisselbrink, Cleo Tebby, Jacob D. van Klaveren, Marco S. van Lenthe, Alfonso Lampen, Céline Brochot, Marc C. Kennedy, Emiel Rorije, Amélie Crépet, Anna Beronius, Hilko van der Voet, Johanna Zilliacus, Waldo J. de Boer, J.J.B. van den Heuvel, Claudia Luckert, Corinne Sprong
Publikováno v:
Food and Chemical Toxicology, 138
Food and Chemical Toxicology
Food and Chemical Toxicology, Elsevier, 2020, 138, pp.111185. ⟨10.1016/j.fct.2020.111185⟩
Food and Chemical Toxicology, 2020, 138, pp.111185. ⟨10.1016/j.fct.2020.111185⟩
Food and Chemical Toxicology 138 (2020)
Food and Chemical Toxicology
Food and Chemical Toxicology, Elsevier, 2020, 138, pp.111185. ⟨10.1016/j.fct.2020.111185⟩
Food and Chemical Toxicology, 2020, 138, pp.111185. ⟨10.1016/j.fct.2020.111185⟩
Food and Chemical Toxicology 138 (2020)
International audience; A model and data toolbox is presented to assess risks from combined exposure to multiple chemicals using probabilistic methods. The Monte Carlo Risk Assessment (MCRA) toolbox, also known as the EuroMix toolbox, has more than 4
Autor:
Amy Iezzoni, Cassia da Silva Linge, Laima Antanaviciute, Nahla V. Bassil, Cameron Peace, Marco C. A. M. Bink, Nicholas P. Howard, Johannes W. Kruisselbrink, Ksenija Gasic, Eric van de Weg, Stijn Vanderzande, Lichun Cai
Publikováno v:
PLoS ONE, 14(6)
PLoS ONE
PLoS ONE 14 (2019) 6
PLoS ONE, Vol 14, Iss 6, p e0210928 (2019)
PLoS ONE
PLoS ONE 14 (2019) 6
PLoS ONE, Vol 14, Iss 6, p e0210928 (2019)
High-quality genotypic data is a requirement for many genetic analyses. For any crop, errors in genotype calls, phasing of markers, linkage maps, pedigree records, and unnoticed variation in ploidy levels can lead to spurious marker-locus-trait assoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a81bb118bf688c7873cfed9708c89694
https://research.wur.nl/en/publications/high-quality-genome-wide-snp-genotypic-data-for-pedigreed-germpla
https://research.wur.nl/en/publications/high-quality-genome-wide-snp-genotypic-data-for-pedigreed-germpla
Publikováno v:
Environmental Science and Pollution Research 26 (2019) 10
Environmental Science and Pollution Research
Environmental Science and Pollution Research, 26(10), 9892-9907
Environmental Science and Pollution Research
Environmental Science and Pollution Research, 26(10), 9892-9907
Human exposure to pesticide mixtures can occur from the diet and other sources. Realistic exposure and risk assessments should include multiple sources and compounds and include the relative hazards of the different compounds. The EU-funded Euromix p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::220ec6c3ea86ecd0b7073495847147cd
https://research.wur.nl/en/publications/modelling-aggregate-exposure-to-pesticides-from-dietary-and-crop-
https://research.wur.nl/en/publications/modelling-aggregate-exposure-to-pesticides-from-dietary-and-crop-