Parent-progeny imputation from pooled samples for cost-efficient genotyping in plant breeding von Technow, Frank, Gerke, Justin

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Use of F2 Bulks in Training Sets for Genomic Prediction of Combining Ability and Hybrid Performance von Technow, Frank

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Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation von Technow, Frank, Messina, Carlos D, Totir, L Radu, Cooper, Mark

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Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize von Technow, Frank, Schrag, Tobias A, Schipprack, Wolfgang, Bauer, Eva, Simianer, Henner, Melchinger, Albrecht E

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Genomic and metabolic prediction of complex heterotic traits in hybrid maize von Riedelsheimer, Christian, Czedik-Eysenberg, Angelika, Grieder, Christoph, Lisec, Jan, Technow, Frank, Sulpice, Ronan, Altmann, Thomas, Stitt, Mark, Willmitzer, Lothar, Melchinger, Albrecht E

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Comparison of whole-genome prediction models for traits with contrasting genetic architecture in a diversity panel of maize inbred lines von Riedelsheimer, Christian, Technow, Frank, Melchinger, Albrecht E

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Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments von Windhausen, Vanessa S, Atlin, Gary N, Hickey, John M, Crossa, Jose, Jannink, Jean-Luc, Sorrells, Mark E, Raman, Babu, Cairns, Jill E, Tarekegne, Amsal, Semagn, Kassa, Beyene, Yoseph, Grudloyma, Pichet, Technow, Frank, Riedelsheimer, Christian, Melchinger, Albrecht E

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Use of Crop Growth Models with Whole‐Genome Prediction: Application to a Maize Multienvironment Trial von Cooper, Mark, Technow, Frank, Messina, Carlos, Gho, Carla, Totir, L. Radu

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Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding? von Diepenbrock, Christine H, Tang, Tom, Jines, Michael, Technow, Frank, Lira, Sara, Podlich, Dean, Cooper, Mark, Messina, Carlos

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Genetic Diversity in Jatropha curcas L. Assessed with SSR and SNP Markers von Montes, Juan, Technow, Frank, Martin, Matthias, Becker, Klaus

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A biomechanical model for maize root lodging von Brune, Philip F., Baumgarten, Andy, McKay, Steve J., Technow, Frank, Podhiny, John J.

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Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheat von Jighly, Abdulqader, Thayalakumaran, Thabo, Kant, Surya, Panozzo, Joe, Aggarwal, Rajat, Hessel, David, Forrest, Kerrie L., Technow, Frank, Totir, Radu, Goddard, Mike, Pryce, Jennie, Hayden, Matthew J., Munkvold, Jesse, O’Leary, Garry J.

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Back to the future: implications of genetic complexity for the structure of hybrid breeding programs von Technow, Frank, Podlich, Dean, Cooper, Mark

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Relating planter downforce and soil strength von Brune, Philip F., Ryan, Bradley J., Technow, Frank, Myers, D. Brenton

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Genomic Prediction of Northern Corn Leaf Blight Resistance in Maize with Combined or Separated Training Sets for Heterotic Groups von Technow, Frank, Bürger, Anna, Melchinger, Albrecht E

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Optimizing Resource Allocation for Multistage Selection in Plant Breeding with R Package Selectiongain von Mi, Xuefei, Utz, H. Friedrich, Technow, Frank, Melchinger, Albrecht E.

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Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects von Technow, Frank, Riedelsheimer, Christian, Schrag, Tobias A., Melchinger, Albrecht E.

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Shrinkage estimation of the genomic relationship matrix can improve genomic estimated breeding values in the training set von Müller, Dominik, Technow, Frank, Melchinger, Albrecht E.

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Accuracy of Genomic Prediction in Synthetic Populations Depending on the Number of Parents, Relatedness, and Ancestral Linkage Disequilibrium von Schopp, Pascal, Müller, Dominik, Technow, Frank, Melchinger, Albrecht E

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Genomic prediction of dichotomous traits with Bayesian logistic models von Technow, Frank, Melchinger, Albrecht E

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