1. Accuracy of Genomic Prediction in Synthetic Populations Depending on the Number of Parents, Relatedness, and Ancestral Linkage Disequilibrium. Issue 1 (1st January 2017) Authors: Schopp, Pascal; Müller, Dominik; Technow, Frank; Melchinger, Albrecht E Journal: Genetics Issue: Volume 205:Issue 1(2017) Page Start: 441 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Back to the future: implications of genetic complexity for the structure of hybrid breeding programs. Issue 7 (5th May 2021) Authors: Technow, Frank; Podlich, Dean; Cooper, Mark Editors: Morris, G P Journal: G3 Issue: Volume 11:Issue 7(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?. Issue 2 (15th November 2021) Authors: Diepenbrock, Christine H; Tang, Tom; Jines, Michael; Technow, Frank; Lira, Sara; Podlich, Dean; Cooper, Mark; Messina, Carlos Journal: Plant physiology Issue: Volume 188:Issue 2(2022) Page Start: 1141 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize. Issue 4 (1st August 2014) Authors: Technow, Frank; Schrag, Tobias A; Schipprack, Wolfgang; Bauer, Eva; Simianer, Henner; Melchinger, Albrecht E Journal: Genetics Issue: Volume 197:Issue 4(2014) Page Start: 1343 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Optimizing Resource Allocation for Multistage Selection in Plant Breeding with R Package Selectiongain. Issue 4 (1st July 2014) Authors: Mi, Xuefei; Utz, H. Friedrich; Technow, Frank; Melchinger, Albrecht E. Journal: Crop science Issue: Volume 54:Issue 4(2014) Page Start: 1413 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Use of Crop Growth Models with Whole‐Genome Prediction: Application to a Maize Multienvironment Trial. Issue 5 (1st September 2016) Authors: Cooper, Mark; Technow, Frank; Messina, Carlos; Gho, Carla; Totir, L. Radu Journal: Crop science Issue: Volume 56:Issue 5(2016) Page Start: 2141 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Use of F2 Bulks in Training Sets for Genomic Prediction of Combining Ability and Hybrid Performance. Issue 5 (1st May 2019) Authors: Technow, Frank Journal: G3 Issue: Volume 9:Issue 5(2019) Page Start: 1557 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Using Bayesian Multilevel Whole Genome Regression Models for Partial Pooling of Training Sets in Genomic Prediction. Issue 8 (1st August 2015) Authors: Technow, Frank; Totir, L Radu Journal: G3 Issue: Volume 5:Issue 8(2015) Page Start: 1603 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Using genomic prediction with crop growth models enables the prediction of associated traits in wheat. (7th October 2022) Authors: Jighly, Abdulqader; Thayalakumaran, Thabo; O'Leary, Garry J; Kant, Surya; Panozzo, Joe; Aggarwal, Rajat; Hessel, David; Forrest, Kerrie L; Technow, Frank; Tibbits, Josquin F G; Totir, Radu; Hayden, Matthew J; Munkvold, Jesse; Daetwyler, Hans D Editors: Rebetzke, Greg Journal: Journal of experimental botany Issue: Volume 74:Number 5(2023) Page Start: 1389 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗