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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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Detaylı Bibliyografya
Yayımlandı:G3 (Bethesda)
Asıl Yazarlar: Cuevas, Jaime, Granato, Italo, Fritsche-Neto, Roberto, Montesinos-Lopez, Osval A., Burgueño, Juan, Bandeira e Sousa, Massaine, Crossa, José
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Genetics Society of America 2018
Konular:
Online Erişim: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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