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Assessment of multivariate genomic prediction of ethylene production, content in organic acids (malic acid and citric acid) and soluble sugars (sucrose, glucose and fructose) using F.weight (A), Hue.g (B), RI (C), and TA (D) as proxy predictands in comparison to univariate prediction. Multivariate models leveraged the information provided by secondary traits using either phenotypic values (multi-trait model) or genomic estimated breeding values (model-based index).
