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United States Department of Agriculture

Agricultural Research Service

Research Project: Enhancing Breeding of Small Grains Through Improved Bioinformatics

Location: Plant, Soil and Nutrition Research

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Perspectives for genomic selection applications and research in plants - (Peer Reviewed Journal)
(23-Jul-14)
Genetic mapping using genotyping-by-sequencing in the clonally-propagated cassava - (Peer Reviewed Journal)
Rabbi, I., Hamblin, M., Gedil, M., Kulakow, P., Ferguson, M., Ikpan, A.S., Ly, D., Jannink, J. 2014. Genetic mapping using genotyping-by-sequencing in the clonally-propagated cassava. Crop Science. DOI: 10.2135/cropsci2013.07.0482.
High-resolution mapping of resistance to cassava mosaic geminiviruses in cassava using genotyping-by-sequencing and its implications for breeding - (Peer Reviewed Journal)
Rabbi, I., Hamblin, M., Kumar, P., Gedil, M., Ikpan, A.S., Jannink, J., Kulakow, P. 2013. High-resolution mapping of resistance to cassava mosaic geminiviruses in cassava using genotyping-by-sequencing and its implications for breeding. Virus Research. 186:87-96.
Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions - (Peer Reviewed Journal)
Heslot, N., Akdemir, D., Sorrells, M.E., Jannink, J. 2013. Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions. Theoretical and Applied Genetics. 127:463-480.
Genotype by environment interaction and the use of unbalanced historical data for genomic selection in an international wheat breeding program - (Peer Reviewed Journal)
Dawson, J.C., Endelman, J., Heslot, N., Crossa, J., Poland, J.A., Dreisigacker, S., Manes, Y., Sorrells, M., Jannink, J. 2013. Genotype by environment interaction and the use of unbalanced historical data for genomic selection in an international wheat breeding program. Field Crops Research. 154:12-22.
Optimal design of preliminary yield trials with genome-wide markers - (Peer Reviewed Journal)
Endelman, J., Atlin, G., Beyene, Y., Fentaye, K., Zhang, X., Sorrells, M., Jannink, J. 2014. Optimal design of preliminary yield trials with genome-wide markers. Crop Science. 54:48-59.
An algorithm for deciding the number of clusters and validating using simulated data with application to exploring crop population structure - (Peer Reviewed Journal)
Newell, M., Cook, D., Hofmann, H., Jannink, J. 2013. An algorithm for deciding the number of clusters and validating using simulated data with application to exploring crop population structure. Annals of Applied Statistics. 7:1898-1916.
Ensemble learning with trees and rules: supervised, semi-supervised, unsupervised - (Peer Reviewed Journal)
(14-Apr-13)
Genomic predictability of interconnected bi-parental maize populations     Reprint Icon - (Peer Reviewed Journal)
Riedelsheimer, C., Endelman, J., Stange, M., Sorrells, M., Jannink, J., Melchinger, A. 2013. Genomic predictability of interconnected bi-parental maize populations. Genetics. 194:493-503.
The effects of relatedness and GxE interaction on prediction accuracies in genomic selection: a study in cassava - (Peer Reviewed Journal)
Ly, D., Hamblin, M., Rabbi, I., Gedli, M., Bakare, M., Gauch, H., Okechukwu, R., Dixon, A., Kulakow, P., Jannink, J. 2013. The effects of relatedness and GxE interaction on prediction accuracies in genomic selection: a study in cassava. Crop Science. 53(4):1312-1325.
Last Modified: 8/30/2014
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