Ismo Strandén

Research Professor

Natural Resources Institute Finland

Finland

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Ismo Strandén is a Research Professor at the Natural Resources Institute Finland. His research focuses on genetic architecture, genomic prediction, and trait-specific marker weighting in agricultural species, particularly in relation to disease resistance, yield, and livestock health traits. Recent articles examine the genomic prediction models and methodologies applicable to various crops and livestock populations.

Ismo Strandén

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Articles (20)

A major QTL region associated with powdery mildew resistance in leaves and fruits of the reconstructed garden strawberry

Genetic architecture and genomic prediction for yield, winter damage, and digestibility traits in timothy (Phleum pratense L.) using genotyping-by-sequencing data

Marker weighting improves single-step genomic prediction reliabilities of udder health traits in Nordic Red and Jersey dairy cattle populations

A computationally feasible multi-trait single-step genomic prediction model with trait-specific marker weights

A computationally efficient algorithm to leverage average information REML for (co)variance component estimation in the genomic era

Invited review: Reliability computation from the animal model era to the single-step genomic model era

A computationally efficient method for approximating reliabilities in large-scale single-step genomic prediction

Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates

Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds

Single-step genomic evaluation of Russian dairy cattle using internal and external information

Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows

Breeding value reliabilities for multiple-trait single-step genomic best linear unbiased predictor

Single-step genomic BLUP with genetic groups and automatic adjustment for allele coding

Accounting for Missing Pedigree Information with Single-Step Random Regression Test-Day Models

Animal board invited review: Genomic-based improvement of cattle in response to climate change

Practical implementation of genetic groups in single-step genomic evaluations with Woodbury matrix identity–based genomic relationship inverse

Estimation of individual animal SNP-BLUP reliability using full Monte Carlo sampling

Metafounder approach for single-step genomic evaluations of Red Dairy cattle

Symposium review: Single-step genomic evaluations in dairy cattle

Genomic prediction of grain yield in commercial Finnish oat (Avena sativa) and barley (Hordeum vulgare) breeding programmes

Collaborators (9)

Stephanie McKay

Zengting Liu

Martin Lidauer

Esa Mäntysaari

Jérémie Vandenplas

Pekka Uimari

Timo Hytönen

Andrei Kudinov

Emre Karaman

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