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Research Project:
BIOINFORMATIC METHODS AND TOOLS TO PREDICT SMALL GRAIN FIELD PERFORMANCE
Location: Plant, Soil and Nutrition Research
Publications
(Clicking on the reprint icon
will take you to the publication reprint.)
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Prediction of genetic values of multiple quantitative traits via multivariate random-effect regression model
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| (26-Sep-12) |
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Shrinkage estimation of the realized relationship matrix
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| (10-Sep-12) |
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The hordeum toolbox - the barley CAP genotype and phenotype resource
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| Blake, V.C., Kling, J.G., Hayes, P.M., Jannink, J., Jillella, S.R., Lee, J., Matthews, D.E., Chao, S., Close, T.J., Muehlbauer, G.J., Smith, K.P., Wise, R.P., Dickerson, J.A. 2012. The hordeum toolbox - the barley CAP genotype and phenotype resource. The Plant Genome. DOI: 10.385/plantgenome2012.03.0002. |
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Evaluation of genomic prediction methods for fusarium head blight resistance in wheat
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| (19-Apr-12) |
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Potential and optimization of genomic selection for fusarium head blight resistance in six-row barley
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| Lorenz, A.J., Smith, K.P., Jannink, J. 2012. Potential and optimization of genomic selection for fusarium head blight resistance in six-row barley. Crop Science. 52(4):1609-1621. DOI: 10.2135/cropsci2011.09.0503. |
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Accuracy and training population design for genomic selection in elite north american oats
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| Asoro, F.G., Newell, M.A., Beavis, W.D., Jannink, J., Scott, M.P. 2011. Accuracy and training population design for genomic selection in elite north american oats. The Plant Genome. 4:132-144. |
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Factors affecting the power of haplotype markers in association studies
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| Hamblin, M., Jannink, J. 2011. Factors affecting the power of haplotype markers in association studies. The Plant Genome. 4:145-153. |
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Accuracy of genomic selection in barley breeding programs: a simulation study based on the real SNP data
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| (18-Apr-11) |
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Population genetics of genomics-based crop improvement methods
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| Hamblin, M., Buckler Iv, E.S., Jannink, J. 2011. Population genetics of genomics-based crop improvement methods. Trends in Genetics. 27:98-106. |
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Genomic selection accuracy using multi-family prediction models in a wheat breeding program
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| Heffner, E., Jannink, J., Sorrells, M. 2011. Genomic selection accuracy using multi-family prediction models in a wheat breeding program. The Plant Genome. 4:65-75. |
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Population structure and linkage disequilibrium in oat (Avena sativa L.): implications for genome-wide association studies
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| Newell, M.A., Cook, D., Tinker, N.A., Jannink, J. 2010. Population structure and linkage disequilibrium in oat (Avena sativa L.): implications for genome-wide association studies. Theoretical and Applied Genetics. 122:623-632. |
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Performance of single nucleotide polymorphisms versus haplotypes for genome-wide association analysis in barley
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| Lorenz, A.J., Hamblin, M.T., Jannink, J. 2010. Performance of single nucleotide polymorphisms versus haplotypes for genome-wide association analysis in barley. PLoS Genetics. 5(II):e14079. |
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Pervasive gene content variation and copy number variation in maize and its undomesticated progenitor
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| Swanson-Wagner, R.A., Eichten, S.R., Kumari, S., Tiffin, P., Stein, J.C., Ware, D., Springer, N.M. 2010. Pervasive gene content variation and copy number variation in maize and its undomesticated progenitor. Genome Research. 20(12):1689-1699. |
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Genomic selection in plant breeding: knowledge and prospects
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| Lorenz, A.J., Chao, S., Asoro, F.G., Heffner, E.L., Hayashi, T., Iwata, H., Smith, K.P., Sorrells, M.E., Jannink, J. 2011. Genomic selection in plant breeding: knowledge and prospects. Advances in Agronomy. 110:77-123. |
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Digital gene expression signatures for maize development
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| Eveland, A.L., Nagasawa, N., Goldshmidt, A., Meyer, S., Beatty, M., Sakai, H., Ware, D., Jackson, D. 2010. Digital gene expression signatures for maize development. Plant Physiology. 154(3):1024-1039. |
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Assessment of power and false discovery in genome-wide association studies using the BarleyCAP germplasm
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| Bradbury, P., Parker, T., Hamblin, M.T., Jannink, J. 2010. Assessment of power and false discovery in genome-wide association studies using the BarleyCAP germplasm. Crop Science. 51:52-59. |
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Dynamics of long-term genomic selection
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| Jannink, J. 2010. Dynamics of long-term genomic selection. Genetics. 42:35. |
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Plant breeding with genomic selection: potential gain per unit time and cost
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| Heffner, E.L., Lorenz, A.J., Jannink, J., Sorrells, M.E. 2010. Plant breeding with genomic selection: potential gain per unit time and cost. Crop Science. 50:1681-1690. |
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Genomic selection in plant breeding: from theory to practice
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| Jannink, J., Lorenz, A.J., Iwata, H. 2010. Genomic selection in plant breeding: from theory to practice. Briefings in Functional Genomics and Proteomics. 9:166-177. |
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Marker genotype imputation in a low-marker-density panel with a high-marker-density reference panel: accuracy evaluation in barley breeding lines
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| Iwata, H., Jannink, J. 2010. Marker genotype imputation in a low-marker-density panel with a high-marker-density reference panel: accuracy evaluation in barley breeding lines. Crop Science. 50:1269-1278. |
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Whole genome association mapping of grain shape variation among Oryza sativa L. germplasms based on elliptic Fourier analysis
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| Iwata, H., Ebana, K., Uga, Y., Hayashi, T., Jannink, J. 2009. Whole genome association mapping of grain shape variation among Oryza sativa L. germplasms based on elliptic Fourier analysis. Theoretical and Applied Genetics. 114(8):1437-1449. |
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Population structure and linkage disequilibrium in US barley germplasm: implications for association mapping
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| Hamblin, M.T., Close, T.J., Bhat, P.R., Chao, S., Abraham, K., Blake, T., Brooks, W.S., Cooper, B., Griffey, C.A., Hayes, P.M., Hole, D.J., Horsley, R.D., Obert, D.E., Smith, K.P., Ullrich, S.E., Muehlbauer, G.J., Jannink, J. 2010. Population structure and linkage disequilibrium in US barley germplasm: implications for association mapping. Crop Science. 50:556-566. |
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Association-Based Genomic Selection in Cultivated Barley
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| Zhong, S., Dekkers, J., Jannink, J. 2009. Association-Based Genomic Selection in Cultivated Barley. Genetics. 182:355-364. |
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Marker imputation in barley association studies
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| Jannink, J., Iwata, H., Bhat, P.R., Chao, S., Wenzl, P., Muehlbauer, G.J. 2009. Marker imputation in barley association studies. The Plant Genome. 2:11-22. |
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Bayesian multilocus association mapping on ordinal and censored traits and its application to the analysis of genetic variation among Oryza sativa L. germplasms
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| Iwata, H., Ebana, K., Fukuoka, S., Hayashi, T., Jannink, J. 2009. Bayesian multilocus association mapping on ordinal and censored traits and its application to the analysis of genetic variation among Oryza sativa L. germplasms. Theoretical and Applied Genetics. 118(5):865-880. |
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New DArT markers for oat provide enhanced map coverage and global germplasm characterization
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| Tinker, N.A., Kilian, A., Rines, H.W., Bjornstad, A., Howarth, C.J., Jannink, J., Anderson, J.M., Rossnagel, B.G., Wight, C.P., Stuthman, D.D., Sorrells, M.E., Scoles, G.J., Eckstein, P.E., Ohm, H.W., Jackson, E.W., Tuvesson, S., Kolb, F.L., Molnar, S.J., Olsson, O., Carson, M.L., Ceplitis, A., Bonman, J.M., Federizzi, L., Langdon, T. 2009. New DArT markers for oat provide enhanced map coverage and global germplasm characterization. Biomed Central (BMC) Genomics. 10(39):1471-2164. |
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Association genetics in barley
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| Waugh, R., Muehlbauer, G.J., Jannink, J., Ramsay, L. 2009. Association genetics in barley. Current Opinion in Plant Biology. 12(2):218-222. |
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Genomic Selection for Crop Improvement
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| Heffner, E.L., Sorrells, M.E., Jannink, J. 2009. Genomic Selection for Crop Improvement. Crop Science. 49:1-12. |
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Impact of Dry Solids and Bile Acid Concentrations on Bile Acid Binding Capacity of Extruded Oat Cereals
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| Yao, N., Jannink, J., White, P.J., Alavi, S. 2008. Impact of Dry Solids and Bile Acid Concentrations on Bile Acid Binding Capacity of Extruded Oat Cereals. Journal of Agricultural and Food Chemistry. 56:8672-8679. |
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