Beavis Group - Publications


    2020

  • Krause, MD Dias, KOG; dos Santos, JPR; Oliveira, AAO; Guimarães, LJM; Pastina, MM; Margarido, GRA; Garcia, AAF. (2020) Boosting predictive ability of tropical maize hybrids via genotype by environment interaction under multivariate GBLUP models. Crop Science (doi: https://doi.org/10.1002/csc2.20253).


  • Ramasubramanian, V., & Beavis, W. D. (2020) Factors affecting Response to Recurrent Genomic Selection in Soybeans. BioRxiv.


  • 2019

  • D Akdemir, W Beavis, R Fritsche-Neto, AK Singh, J Isidro-Sánchez (2019). Multi-objective optimized genomic breeding strategies for sustainable food improvement.Heredity 122 (5), 672

  • C Andorf, WD Beavis, M Hufford, S Smith, WP Suza, K Wang, ... (2019). Technological advances in maize breeding: past, present and future. Theoretical and applied genetics 132 (3), 817-849

  • A Xavier, W Beavis, J Specht, B Diers, R Mian, R Howard, G Graef, ... (2019). Package ‘SoyNAM’

  • EJ Anderson, ML Ali, WD Beavis, P Chen, TE Clemente, BW Diers, ... (2019). Soybean [Glycine max (L.) Merr.] Breeding: History, Improvement, Production and Future Opportunities. Advances in Plant Breeding Strategies: Legumes, 431-516

  • 2018

  • BW Diers, J Specht, KM Rainey, P Cregan, Q Song, V Ramasubramanian, ...(2018). Genetic architecture of soybean yield and agronomic traits. G3: Genes, Genomes, Genetics 8 (10), 3367-3375

  • A Xavier, D Jarquin, R Howard, V Ramasubramanian, JE Specht, ... (2018). Genome-wide analysis of grain yield stability and environmental interactions in a multiparental soybean population. G3: Genes, Genomes, Genetics 8 (2), 519-529

  • B Kim, X Dai, W Zhang, Z Zhuang, DL Sanchez, T Lubberstedt, Y Kang,... (2018).GWASpro: a high-performance genome-wide association analysis server. Bioinformatics

  • 2017

  • JN Cameron, Y Han, L Wang, WD Beavis (2017).Systematic design for trait introgression projects. Theoretical and Applied Genetics 130 (10),

  • R Howard, AL Carriquiry, WD Beavis (2017). Application of response surface methods to determine conditions for optimal genomic prediction. G3: Genes, Genomes, Genetics 7 (9), 3103-3113

  • Q Song, L Yan, C Quigley, BD Jordan, E Fickus, S Schroeder, BH Song, ... (2017). Genetic characterization of the soybean nested association mapping population. The plant genome 10 (2)

  • L de Azevedo Peixoto, TC Moellers, J Zhang, AJ Lorenz, LL Bhering (2017). Leveraging genomic prediction to scan germplasm collection for crop improvement.PloS one 12 (6), e0179191

  • Y Han, JN Cameron, L Wang, WD Beavis (2017).The predicted cross value for genetic introgression of multiple alleles. Genetics 205 (4), 1409-1423

  • B Kim, WD Beavis (2017). Numericware i: Identical by State Matrix Calculator.Evolutionary Bioinformatics 13, 1176934316688663

  • TC Moellers, J Zhang, AJ Lorenz, LL Bhering, WD Beavis, AK Singh(2017). Leveraging genomic prediction to scan germplasm collection for crop improvement.PloS one 12 (6), e0179191-e0179191

  • 2016

  • B Kim, WD Beavis, J Léon(2016). Numericware N: numerator relationship matrix calculator. Journal of Heredity 107 (7), 686-690. 2

  • R Howard, WD Beavis, A Carriquiry(2016). Evaluation of a Computational Diagnostic for Epistasis in Plant Breeding Populations. bioRxiv, 044453

  • 2015

  • Z Xu, J Yu, RJ Kohel, RG Percy, WD Beavis, D Main, ZY John(2015) .Distribution and evolution of cotton fiber development genes in the fibreless Gossypium raimondii genome.Genomics 106 (1), 61-69

  • 2014

  • R Howard, AL Carriquiry, WD Beavis (2014). Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures.G3: Genes, Genomes, Genetics 4 (6), 1027-1046

  • 2013-2007

  • B Guo, D Wang, Z Guo, WD Beavis (2013). Family-based association mapping in crop species. Theoretical and applied genetics 126 (6), 1419-1430 .18

  • FG Asoro, MA Newell, WD Beavis, MP Scott, NA Tinker, JL Jannink (2013). Genomic, marker-assisted, and pedigree-BLUP selection methods for β-glucan concentration in elite oat. Crop Science 53 (5), 1894-1906.47.

  • EA Brenner, WD Beavis, JR Andersen, T Lübberstedt (2013). Prospects and limitations for development and application of functional markers in plants.Diagnostics in Plant Breeding, 329-3465

  • Meade, K.A., M. Cooper, W.D. Beavis (2013). Modeling biomass accumulation in maize kernels. Field Crops Research (accepted).

  • Asoro, F.G., M.A. Newell, W.D. Beavis, M.P. Scott, N.A. Tinker, and J.-L. Jannink (2012). Comparison of genomic, marker-assisted, and pedigree-BLUP selection methods to increase ß-glucan concentration in elite oat germplasm. Crop Science (accepted).

  • Asoro, F.G., M.A. Newell, P. Scott, W.D. Beavis, and J.-L. Jannink (2012). Genomewide association study for ß-glucan content in North American elite oat. Crop Science (doi:10.2135/cropsci2012.01.0039).

  • Woody, J.L., W.D. Beavis, R.C. Shoemaker (2012). Large homogeneous genome regions (isochars) in soybean (Glycine max L.) Plant Genetics and Genomics. (doi:10.3389/fgene.2012.00098).

  • Newell, M.A., F.G. Asoro, M.P. Scott, P.J. White, W.D. Beavis, J.-L. Jannink (2012). Genome-wide associate study for oat (Avena sativa L.) ß-glucan using germplasm of worlwide origin. Crop Science. (doi: 10.1007/s00122-012-1945-0)

  • Xu, P., L. Wang, W.D. Beavis (2011). An optimization approach to gene stacking. European Journal of Operational Research 214: 168-178.

  • Asoro F.G., M.A. Newell, W.D. Beavis, M.P. Scott and J.-L. Jannink. (2011). Accuracy and training population design for genomic selection in elite North American oats. Plant Genome 4:132-144.

  • Lorenz, A., S. Chao, F. Asoro, E. Heffner, T.Hayashi, H. Iwata, K. Smith, M. Sorrels, J.-L. Jannink. 2010. Genomic Selection in Plant Breeding: Knowledge and Prospects. Advances in Agronomy 110: 77-123.

  • Newell MA, Cook D, Tinker NA, Jannink J-L (2010) Population structure and linkage disequilibrium in oat (Avena sativa L.): implications for genome-wide association studies. Theor Appl Genet.

  • Beavis, WD (2007). Genomics and Quantitative Genetics. Conference on Genomics and the Land Grant Missio: Emerging Trends in Application of Genomics to Agricultural Research. Purdue University.

  • Kingsmore, SF, IE Lindquist, J Mudge, DD Gesler, WD Beavis (2008) Genome-wide association studies: progress and potential for drug discovery and development. Nature Reviews (adv online publication) doi:10.1038/nrd2519

  • Kingsmore, SF, IE Lindquist, J Mudge WD Beavis (2007) Genome-Wide Association Studies: Progress in Identifying Genetic Biomarkers in Common, Complex Diseases. Biomarker Insights 2007:2 1–10.


  •   Solicited and Peer Reviewed


  • Beavis, WD, FD Schilkey, SM Baxter (2007).  Translational Bioinformatics: At the Interface of Genomics and Quantitative Genetics.  Crop Science 47(s3): 32-43

  • Gonzales, MD, K Gajendran, AD Farmer, E Archuleta, WD Beavis  (2007) Leveraging model legume information to find candidate genes for soybean Sudden Death Syndrome using the Legume Information System (LIS).  In Ed. Edwards D. Methods in Molecular Biology, Humana Press (USA), pp. 245-260

     


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