| scholarly article | Q13442814 |
| P50 | author | Jean-Luc Jannink | Q58142254 |
| Deniz Akdemir | Q61138946 | ||
| P2093 | author name string | Deniz Akdemir | |
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| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | data sharing | Q5227350 |
| P304 | page(s) | 857-871 | |
| P577 | publication date | 2015-01-22 | |
| P1433 | published in | Genetics | Q3100575 |
| P1476 | title | Locally epistatic genomic relationship matrices for genomic association and prediction | |
| P478 | volume | 199 |
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| Q36780836 | Accuracy of Genomic Prediction in Switchgrass (Panicum virgatum L.) Improved by Accounting for Linkage Disequilibrium |
| Q91751978 | Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials |
| Q39085025 | Genome-wide mapping and prediction suggests presence of local epistasis in a vast elite winter wheat populations adapted to Central Europe |
| Q38813502 | Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction. |
| Q52352327 | Haplotype-Based Genome-Wide Prediction Models Exploit Local Epistatic Interactions Among Markers. |
| Q42682304 | Locally epistatic models for genome-wide prediction and association by importance sampling |
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| Q93220705 | Prediction of Subgenome Additive and Interaction Effects in Allohexaploid Wheat |
| Q38902495 | Walking through the statistical black boxes of plant breeding. |
| Q58895960 | When less can be better: How can we make genomic selection more cost-effective and accurate in barley? |
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