Timothy Beissinger

Black Hawk College — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

20h-index1.9kcitations74works0.92yr avg
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Research Topics

Genetic Mapping and Diversity in Plants and Animals(45), Genetics and Plant Breeding(31), Genetic and phenotypic traits in livestock(26), Genetic diversity and population structure(11), Wheat and Barley Genetics and Pathology(11)

Publications74 total

2NPLGBM: A genomic model that merges the strengths of classical and machine learning methods in genomic prediction
2025Open Access
Individual plant genetics reveal the control of local adaptation in European maize landraces
BMC Biology·2025· 3 citedOpen Access
Predicting Maize Hybrid Performance with Machine Learning and a Locus-Specific Degree of Dominance Transformation
2025· 1 citedOpen Access
Genome-wide association study in European beech ( <i>Fagus sylvatica</i> L.) for drought stress traits
2025· 3 citedOpen Access
Experimental evolution in maize with replicated divergent selection identifies two plant-height-associated regions
Genetics·2025Open Access
Individual plant genetics reveal the control of local adaption in European maize landraces
2024Open Access
Analysis of individual plants reveals the genetic control for local adaptation in European maize landraces
2024Open Access
Experimental evolution in maize with replicated divergent selection identifies plant-height associated SNPs
2024Open Access
2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative
BMC Research Notes·2023· 20 citedOpen Access
Genomes to Fields 2022 Maize genotype by Environment Prediction Competition
BMC Research Notes·2023· 23 citedOpen Access
Genomes to Fields 2022 Maize Genotype by Environment Prediction Competition
Research Square (Research Square)·2023· 2 citedOpen Access
2018–2019 field seasons of the Maize Genomes to Fields (G2F) G x E project
BMC Genomic Data·2023· 14 citedOpen Access
2020-2021 Field Seasons of Maize G x E Project within Maize Genomes to Fields Initiative
Research Square (Research Square)·2023Open Access
Design of a joint experimental and modelling platform to improve understanding of mechanisms and impacts of abiotic and biotic stress interactions in cereals
2023Open Access
Yield prediction through integration of genetic, environment, and management data through deep learning
G3 Genes Genomes Genetics·2023· 47 citedOpen Access
Ghat: an R package for identifying adaptive polygenic traits
G3 Genes Genomes Genetics·2022· 7 citedOpen Access
Genetic diversity of pea (Pisum sativum L.) genotypes differing in leaf type using SNP markers
Genetic Resources and Crop Evolution·2022· 4 citedOpen Access
Fostering Active Learning in an International Joint Classroom: A Case Study
Teaching & Learning Inquiry The ISSOTL Journal·2022· 1 citedOpen Access
Imputation of low‐density marker chip data in plant breeding: Evaluation of methods based on sugar beet
The Plant Genome·2022· 8 citedOpen Access
learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data
G3 Genes Genomes Genetics·2022· 20 citedOpen Access
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Frequent Co-authors

Natalia de León(15), Shawn M. Kaeppler(11), Candice N. Hirsch(10), Sherry Flint-García(8), Rajandeep S. Sekhon(7), Jeffrey Ross‐Ibarra(6), S. Turner(6), Henner Simianer(6), Jason G. Wallace(6), David Ertl(6), Joseph L. Gage(6), J. Knoll(6), Dayane Cristina Lima(6), Teclemariam Weldekidan(6), Jacob D. Washburn(6), Michael A. Gore(5), Daniel Gianola(5), James C. Schnable(5), Jode W. Edwards(5), Maninder P. Singh(5)