Ismo Stranden
Ismo Stranden
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Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit
I Strandén, DJ Garrick
Journal of dairy science 92 (6), 2971-2975, 2009
Solving large mixed linear models using preconditioned conjugate gradient iteration
I Strandén, M Lidauer
Journal of Dairy Science 82 (12), 2779-2787, 1999
Use of the preconditioned conjugate gradient algorithm as a generic solver for mixed-model equations in animal breeding applications
S Tsuruta, I Misztal, I Stranden
Journal of animal science 79 (5), 1166-1172, 2001
Reliabilities of genomic prediction using combined reference data of the Nordic Red dairy cattle populations
RF Brøndum, E Rius-Vilarrasa, I Strandén, G Su, B Guldbrandtsen, ...
Journal of dairy science 94 (9), 4700-4707, 2011
Allele coding in genomic evaluation
I Strandén, OF Christensen
Genetics Selection Evolution 43, 1-11, 2011
RelaX2: pedigree analysis programme.
I Strandén, K Vuori
Comparison of test-day models for genetic evaluation of production traits in dairy cattle
M Lidauer, EA Mäntysaari, I Strandén
Livestock Production Science 79 (1), 73-86, 2003
Genetic association of clinical mastitis with test-day somatic cell score and milk yield during first lactation of Finnish Ayrshire cows
E Negussie, I Strandén, EA Mäntysaari
Journal of Dairy Science 91 (3), 1189-1197, 2008
Estimation of genetic parameters for first lactation test day milk production using random regression models.
A Kettunen, EA Mäntysaari, I Strandén, J Pösö, M Lidauer
Single-step genomic evaluation using multitrait random regression model and test-day data
M Koivula, I Strandén, J Pösö, GP Aamand, EA Mäntysaari
Journal of Dairy Science 98 (4), 2775-2784, 2015
Genetic associations of test-day fat: protein ratio with milk yield, fertility, and udder health traits in Nordic Red cattle
E Negussie, I Strandén, EA Mäntysaari
Journal of Dairy Science 96 (2), 1237-1250, 2013
A comparison of approaches to estimate the inbreeding coefficient and pairwise relatedness using genomic and pedigree data in a sheep population
MH Li, I Strandén, T Tiirikka, ML Sevón-Aimonen, J Kantanen
PloS one 6 (11), e26256, 2011
Different methods to calculate genomic predictions—Comparisons of BLUP at the single nucleotide polymorphism level (SNP-BLUP), BLUP at the individual level (G-BLUP), and the …
M Koivula, I Strandén, G Su, EA Mäntysaari
Journal of dairy science 95 (7), 4065-4073, 2012
Efficient single-step genomic evaluation for a multibreed beef cattle population having many genotyped animals
EA Mäntysaari, RD Evans, I Strandén
Journal of animal science 95 (11), 4728-4737, 2017
Across breed multi‐trait random regression genomic predictions in the N ordic R ed dairy cattle
ML Makgahlela, EA Mäntysaari, I Strandén, M Koivula, US Nielsen, ...
Journal of animal breeding and genetics 130 (1), 10-19, 2013
Multiple-trait random regression test-day model for all lactations
M Lidauer, EA Mäntysaari, I Strandén, J Pösö
Interbull bulletin, 81-81, 2000
Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach
I Strandén, D Gianola
Genetics Selection Evolution, 25-42, 1999
Genetic analysis of liability to clinical mastitis, with somatic cell score and production traits using bivariate threshold–linear and linear–linear models
E Negussie, I Strandén, EA Mäntysaari
Livestock Science 117 (1), 52-59, 2008
Symposium review: Single-step genomic evaluations in dairy cattle
EA Mäntysaari, M Koivula, I Strandén
Journal of dairy science 103 (6), 5314-5326, 2020
Solving large test-day models by iteration on data and preconditioned conjugate gradient
M Lidauer, I Strandén, EA Mäntysaari, J Pösö, A Kettunen
Journal of dairy science 82 (12), 2788-2796, 1999
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