Alexander Lipka

Associate Professor of Biometry

University of Illinois at Urbana-Champaign

United States

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Dr. Alexander Lipka is an Associate Professor of Biometry at the University of Illinois at Urbana-Champaign, USA. His research focuses on genome-wide association studies (GWAS) and their applications in various crops, including maize, barley, rice, and soybean. Recent articles highlight his contributions to understanding genetic associations and adaptations in plant traits, particularly in response to environmental stresses.

Articles (10)

Year:

2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (8)

Tiffany Jamann

Assistant Professor

University of Illinois at Urbana-Champaign

UNITED STATES

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Samuel Fernandes

Assistant Professor

University of Arkansas at Fayetteville

UNITED STATES

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Keiichi Mochida

JAPAN

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June-Sik Kim

Associated Professor, Specially Appointed

Okayama University

JAPAN

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Sushma Sood

UNITED STATES

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Takashi HIRAYAMA

Professor

JAPAN

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Santiago Mideros

Assistant Professor

University of Illinois at Urbana-Champaign

UNITED STATES

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Carl Bernacchi

University of Illinois at Urbana-Champaign

UNITED STATES

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Alexander Lipka

Research Interests

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About

Articles (10)

Exome-wide variation in a diverse barley panel reveals genetic associations with ten agronomic traits in Eastern landraces

An application of vGWAS to differences in flowering time in maize across mega-environments

Genome-wide association analysis for emergence of deeply sown rice (Oryza sativa) reveals novel aus-specific phytohormone candidate genes for adaptation to dry-direct seeding in the field

Reductions in leaf area index, pod production, seed size, and harvest index drive yield loss to high temperatures in soybean

Accuracy of Genomic Prediction of Yield and Sugar Traits in Saccharum spp. Hybrids

Genetic mapping of sorghum resistance to an Illinois isolate of Colletotrichum sublineola

A multi-trait multi-locus stepwise approach for conducting GWAS on correlated traits

A population-level statistic for assessing Mendelian behavior of genotyping-by-sequencing data from highly duplicated genomes

Assessment of two statistical approaches for variance genome-wide association studies in plants

Multiomics approach reveals a role of translational machinery in shaping maize kernel amino acid composition

Collaborators (8)

Tiffany Jamann

Samuel Fernandes

Keiichi Mochida

June-Sik Kim

Sushma Sood

Takashi HIRAYAMA

Santiago Mideros

Carl Bernacchi

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