Ismo Strandén

Research Professor

Natural Resources Institute Finland

Finland

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Research Interests

Biostatistics

100%

Agronomy

50%

Genomic

100%

Genome-wide Association

60%

Population Genetics

50%

Genetic

50%

Plant Breeding

50%

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Articles20

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

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Year:

2025

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

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Year:

2025

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

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Year:

2025

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

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Year:

2024

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

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Year:

2024

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

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

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

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Year:

2021

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

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Year:

2021

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

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Year:

2020

Symposium review: Single-step genomic evaluations in dairy cattle

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Year:

2020

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

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Year:

2020

Collaborators9

Stephanie McKay

Associate Professor

University of Vermont

UNITED STATES

Zengting Liu

Chief Geneticist

GERMANY

Martin Lidauer

Research Professor

Natural Resources Institute Finland

FINLAND

Esa Mäntysaari

Research Professor

Natural Resources Institute Finland

FINLAND

Jérémie Vandenplas

laboratory of molecular biology wageningen university & research wageningen 6708 pb the netherlands

NETHERLANDS

Pekka Uimari

University of Helsinki

FINLAND

Timo Hytönen

University of Helsinki

FINLAND

Andrei Kudinov

University of Helsinki

FINLAND

Emre Karaman

Associate Professor

Aarhus University

DENMARK

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