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Genetics|June 24, 2024
Single nucleotide polymorphism profile for quantitative trait nucleotide in populations with small effective size and its impact on mapping and genomic predictionsIvan Pocrnic, Daniela Lourenco, Ignacy Misztal
Journal of Animal Science|November 19, 2020
Core-dependent changes in genomic predictions using the Algorithm for Proven and Young in single-step genomic best linear unbiased predictionIgnacy Misztal, Shogo Tsuruta, Ivan Pocrnic, et al.
Genetics, Selection, Evolution : GSE|November 2, 2016
Dimensionality of genomic information and performance of the Algorithm for Proven and Young for different livestock speciesIvan Pocrnic, Daniela A L Lourenco, Yutaka Masuda, et al.
Journal of Animal Science|October 25, 2025
HoloSimR: a comprehensive framework for simulating breeding programs including the hologenome scenarioCristina Casto-Rebollo, Ivan Pocrnic, Gregor Gorjanc, et al.
Genetics, Selection, Evolution : GSE|December 14, 2019
Accuracy of genomic BLUP when considering a genomic relationship matrix based on the number of the largest eigenvalues: a simulation studyIvan Pocrnic, Daniela A L Lourenco, Yutaka Masuda, et al.
Genetics, Selection, Evolution : GSE|June 2, 2023
A method for partitioning trends in genetic mean and variance to understand breeding practicesThiago P Oliveira, Jana Obšteter, Ivan Pocrnic, et al.
Frontiers in Genetics|May 26, 2023
Assessment of long-term trends in genetic mean and variance after the introduction of genomic selection in layers: a simulation studyIvan Pocrnic, Jana Obšteter, R Chris Gaynor, et al.
Genetics, Selection, Evolution : GSE|November 24, 2022
Optimisation of the core subset for the APY approximation of genomic relationshipsIvan Pocrnic, Finn Lindgren, Daniel Tolhurst, et al.
Genetics|March 6, 2016
The Dimensionality of Genomic Information and Its Effect on Genomic PredictionIvan Pocrnic, Daniela A L Lourenco, Yutaka Masuda, et al.
Journal of Animal Science|February 7, 2019
Crossbred evaluations using single-step genomic BLUP and algorithm for proven and young with different sources of data1Ivan Pocrnic, Daniela A L Lourenco, Ching-Yi Chen, et al.
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