Tim Beissinger

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Natalia de LeonUniversity of Wisconsin, MadisonDirección de correo verificada de wisc.edu
Shawn KaepplerUniversity of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Candice HirschUniversity of MinnesotaDirección de correo verificada de umn.edu
Brieanne VaillancourtUniversity of GeorgiaDirección de correo verificada de uga.edu
Jillian FoersterUniversity of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Henner SimianerProfessor of Animal Breeding and Genetics, Georg-August University GoettingenDirección de correo verificada de gwdg.de
Jeffrey Ross-IbarraProfessor, Dept. Evolution and Ecology, University of California DavisDirección de correo verificada de ucdavis.edu
Rajandeep SekhonClemson University, SCDirección de correo verificada de clemson.edu
Matthew HuffordCassling Family Professor, Iowa State UniversityDirección de correo verificada de iastate.edu
German MuttoniFarmers Business NetworkDirección de correo verificada de farmersbusinessnetwork.com
Guilherme J. M. RosaUniversity of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Li WangProfessor, Agricultural Genomics Institute at Shenzhen (AGIS), ChinaDirección de correo verificada de caas.cn
Arun DurvasulaAssistant Professor, Keck School of Medicine, USCDirección de correo verificada de med.usc.edu
Gota MorotaThe University of TokyoDirección de correo verificada de g.ecc.u-tokyo.ac.jp
Mahmood GholamiKWS SAAT SE & Co. KGaADirección de correo verificada de kws.com
Nathan SpringerUniversity of MinnesotaDirección de correo verificada de umn.edu
Edward BucklerUSDA-ARS, Cornell UniversityDirección de correo verificada de cornell.edu
James B. HollandUSDA-ARS and Department of Crop and Soil Sciences, North Carolina State UniversityDirección de correo verificada de ncsu.edu
Francisco PeñagaricanoAssociate Professor; Department of Animal and Dairy Sciences; University of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Aaron LorenzProfessor of Agronomy and Plant GeneticsDirección de correo verificada de umn.edu

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Tim Beissinger

CTO, Heritable Agriculture

Dirección de correo verificada de heritable.ag - Página principal

Quantitative genetics plant breeding statistical genetics population genetics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Marker density and read depth for genotyping populations using genotyping-by-sequencing TM Beissinger, CN Hirsch, RS Sekhon, JM Foerster, JM Johnson, ... Genetics 193 (4), 1073-1081, 2013	242	2013
The interplay of demography and selection during maize domestication and expansion L Wang, TM Beissinger, A Lorant, C Ross-Ibarra, J Ross-Ibarra, ... Genome biology 18, 1-13, 2017	203	2017
Comparing different statistical models and multiple testing corrections for association mapping in soybean and maize AS Kaler, JD Gillman, T Beissinger, LC Purcell Frontiers in plant science 10, 1794, 2020	198	2020
Recent demography drives changes in linked selection across the maize genome TM Beissinger, L Wang, K Crosby, A Durvasula, MB Hufford, ... Nature plants 2 (7), 1-7, 2016	128	2016
Defining window-boundaries for genomic analyses using smoothing spline techniques TM Beissinger, GJM Rosa, SM Kaeppler, D Gianola, N de Leon Genetics Selection Evolution 47, 1-9, 2015	104	2015
The Evolutionary History of Wild, Domesticated, and Feral Brassica oleracea (Brassicaceae) ME Mabry, SD Turner-Hissong, EY Gallagher, AC McAlvay, H An, ... Molecular Biology and Evolution 38 (10), 4419-4434, 2021	95	2021
Integrated genome-scale analysis identifies novel genes and networks underlying senescence in maize RS Sekhon, C Saski, R Kumar, BS Flinn, F Luo, TM Beissinger, ... The Plant Cell 31 (9), 1968-1989, 2019	82	2019
A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number TM Beissinger, CN Hirsch, B Vaillancourt, S Deshpande, K Barry, ... Genetics 196 (3), 829-840, 2014	70	2014
Evolutionary insights into plant breeding SD Turner-Hissong, ME Mabry, TM Beissinger, J Ross-Ibarra, JC Pires Current Opinion in Plant Biology 54, 93-100, 2020	51	2020
Genomic prediction models for traits differing in heritability for soybean, rice, and maize AS Kaler, LC Purcell, T Beissinger, JD Gillman BMC plant biology 22 (1), 87, 2022	48	2022
Insights into the effects of long-term artificial selection on seed size in maize CN Hirsch, SA Flint-Garcia, TM Beissinger, SR Eichten, S Deshpande, ... Genetics 198 (1), 409-421, 2014	46	2014
Prediction of maize phenotypic traits with genomic and environmental predictors using gradient boosting frameworks CC Westhues, GS Mahone, S da Silva, P Thorwarth, M Schmidt, ... Frontiers in plant science 12, 699589, 2021	37	2021
Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs A Gyawali, V Shrestha, KE Guill, S Flint-Garcia, TM Beissinger BMC plant biology 19, 1-15, 2019	37	2019
Shared genomic regions between derivatives of a large segregating population of maize identified using bulked segregant analysis sequencing and traditional linkage analysis NJ Haase, T Beissinger, CN Hirsch, B Vaillancourt, S Deshpande, K Barry, ... G3: Genes, Genomes, Genetics 5 (8), 1593-1602, 2015	35	2015
Yield prediction through integration of genetic, environment, and management data through deep learning DR Kick, JG Wallace, JC Schnable, JM Kolkman, B Alaca, TM Beissinger, ... G3: Genes, Genomes, Genetics 13 (4), jkad006, 2023	30	2023
Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.) JM Foerster, T Beissinger, N de Leon, S Kaeppler Theoretical and Applied Genetics 128, 529-538, 2015	26	2015
A simple test identifies selection on complex traits T Beissinger, J Kruppa, D Cavero, NT Ha, M Erbe, H Simianer Genetics 209 (1), 321-333, 2018	24*	2018
Parallel Markov chain Monte Carlo-bridging the gap to high-performance Bayesian computation in animal breeding and genetics XL Wu, C Sun, TM Beissinger, GJM Rosa, KA Weigel, NL Gatti, D Gianola Genetics Selection Evolution 44, 1-18, 2012	24	2012
A primer on high-throughput computing for genomic selection XL Wu, TM Beissinger, S Bauck, B Woodward, GJM Rosa, KA Weigel, ... Frontiers in Genetics 2, 4, 2011	21	2011
Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens TM Beissinger, M Gholami, M Erbe, S Weigend, A Weigend, N De Leon, ... Heredity 116 (2), 158-166, 2016	19	2016

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