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Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials
In this study, we compared the prediction accuracy of the main genotypic effect model (MM) without G×E interactions, the multi-environment single variance G×E deviation model (MDs), and the multi-environment environment-specific variance G×E deviation model (MDe) where the random genetic effects of...
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| Pubblicato in: | G3 (Bethesda) |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Genetics Society of America
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5873923/ https://ncbi.nlm.nih.gov/pubmed/29476023 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/g3.117.300454 |
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