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Items: 8

1.

Crossbred evaluations using single-step genomic BLUP and algorithm for proven and young with different sources of data1.

Pocrnic I, Lourenco DAL, Chen CY, Herring WO, Misztal I.

J Anim Sci. 2019 Apr 3;97(4):1513-1522. doi: 10.1093/jas/skz042.

2.

Bias in heritability estimates from genomic restricted maximum likelihood methods under different genotyping strategies.

Cesarani A, Pocrnic I, Macciotta NPP, Fragomeni BO, Misztal I, Lourenco DAL.

J Anim Breed Genet. 2019 Jan;136(1):40-50. doi: 10.1111/jbg.12367. Epub 2018 Nov 13.

PMID:
30426582
3.

Technical note: Impact of pedigree depth on convergence of single-step genomic BLUP in a purebred swine population.

Pocrnic I, Lourenco DAL, Bradford HL, Chen CY, Misztal I.

J Anim Sci. 2017 Aug;95(8):3391-3395. doi: 10.2527/jas.2017.1581.

PMID:
28805917
4.

Selection of core animals in the Algorithm for Proven and Young using a simulation model.

Bradford HL, Pocrnić I, Fragomeni BO, Lourenco DAL, Misztal I.

J Anim Breed Genet. 2017 Dec;134(6):545-552. doi: 10.1111/jbg.12276. Epub 2017 May 2.

PMID:
28464315
5.

Accuracy of breeding values in small genotyped populations using different sources of external information-A simulation study.

Andonov S, Lourenco DAL, Fragomeni BO, Masuda Y, Pocrnic I, Tsuruta S, Misztal I.

J Dairy Sci. 2017 Jan;100(1):395-401. doi: 10.3168/jds.2016-11335. Epub 2016 Oct 27.

6.

Metafounders are related to F st fixation indices and reduce bias in single-step genomic evaluations.

Garcia-Baccino CA, Legarra A, Christensen OF, Misztal I, Pocrnic I, Vitezica ZG, Cantet RJ.

Genet Sel Evol. 2017 Mar 10;49(1):34. doi: 10.1186/s12711-017-0309-2.

7.
8.

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction.

Pocrnic I, Lourenco DA, Masuda Y, Legarra A, Misztal I.

Genetics. 2016 May;203(1):573-81. doi: 10.1534/genetics.116.187013. Epub 2016 Mar 4.

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