Benefits of dominance over additive models for the estimation of average effects in the presence of dominance P Duenk, MPL Calus, YCJ Wientjes, P Bijma G3: Genes, Genomes, Genetics 7 (10), 3405-3414, 2017 | 21 | 2017 |
Validation of genomic predictions for body weight in broilers using crossbred information and considering breed-of-origin of alleles P Duenk, MPL Calus, YCJ Wientjes, VP Breen, JM Henshall, R Hawken, ... Genetics Selection Evolution 51 (1), 1-12, 2019 | 13 | 2019 |
The impact of non-additive effects on the genetic correlation between populations P Duenk, P Bijma, MPL Calus, YCJ Wientjes, JHJ van der Werf G3: Genes, Genomes, Genetics 10 (2), 783-795, 2020 | 12 | 2020 |
Required properties for markers used to calculate unbiased estimates of the genetic correlation between populations YCJ Wientjes, MPL Calus, P Duenk, P Bijma Genetics Selection Evolution 50 (1), 1-16, 2018 | 10 | 2018 |
Estimating the purebred-crossbred genetic correlation of body weight in broiler chickens with pedigree or genomic relationships P Duenk, MPL Calus, YCJ Wientjes, VP Breen, JM Henshall, R Hawken, ... Genetics Selection Evolution 51 (1), 1-11, 2019 | 9 | 2019 |
Genetics of crossbreeding P Duenk PQDT-Global, 2020 | 5 | 2020 |
Review: Optimizing genomic selection for crossbred performance by model improvement and data collection P Duenk, P Bijma, YCJ Wientjes, MPL Calus Journal of Animal Science 99 (8), skab205, 2021 | 4 | 2021 |
Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses C Kamphuis, P Duenk, RF Veerkamp, B Visser, G Singh, A Nigsch, ... Theriogenology 144, 112-121, 2020 | 4 | 2020 |
Bayesian neural networks with variable selection for prediction of genotypic values GHH van Bergen, P Duenk, CA Albers, P Bijma, MPL Calus, YCJ Wientjes, ... Genetics Selection Evolution 52 (1), 1-14, 2020 | 3 | 2020 |
Predicting the purebred-crossbred genetic correlation from the genetic variance components in the parental lines P Duenk, P Bijma, YCJ Wientjes, MPL Calus Genetics Selection Evolution 53 (1), 1-18, 2021 | 2 | 2021 |
The purebred-crossbred correlation in broilers and layers: a review MPL Calus, JA Bos, P Duenk, YCJ Wientjes 71th Annual Meeting of the European Federation of Animal Science (2020), 425-425, 2020 | 1 | 2020 |
Fitting the mean of genotyped individuals per breed had limited benefit for single-step evaluations MN Aldridge, J Vandenplas, J Henshall, P Duenk, MPL Calus 72nd Annual Meeting of the European Federation of Animal Science, 209-209, 2021 | | 2021 |
Predicting of the purebred-crossbred genetic correlation using marker data in parental lines P Duenk, P Bijma, YCJ Wientjes, MPL Calus 72nd Annual Meeting of the European Federation of Animal Science, 520-520, 2021 | | 2021 |
Predicting enhancer-promoter interactions from functional genomics data using machine learning P Duenk, C Kamphuis, O Madsen | | 2021 |
predicting_rpc P Duenk | | 2020 |
Predicting the purebred-crossbred genetic correlation from genetic variances within, and covariance between parental lines P Duenk, P Bijma, YCJ Wientjes, MPL Calus ICQG 6 Abstracts 2020, 130-130, 2020 | | 2020 |
Machine Learning Report GenoMiX: Neural Networks for Prediction of Genotypic Values in empirical datasets of pigs GHH van Bergen, P Duenk Wageningen University & Research, 2020 | | 2020 |
Improving the performance of crossbred animals using genomics P Duenk, YCJ Wientjes, P Bijma, MPL Calus Wias Annual Conference 2020, 43-43, 2020 | | 2020 |
A multi-population genomic relationship matrix to estimate the genetic correlation between populations YCJ Wientjes, MPL Calus, J Vandenplas, P Duenk, P Bijma | | 2018 |
Accuracy of genomic estimated breeding values for crossbred body weight in broilers using a purebred or crossbred reference population. P Duenk, MPL Calus, YCJ Wientjes, V Breen, JM Henshall, R Hawken, ... Proceedings of the World Congress on Genetics Applied to Livestock …, 2018 | | 2018 |