The present study aims to test the efficiency of an ecophysiological model …

• Abstract
• Introduction
• The model
• Materials and Methods
• Results
• Discussion
• References
• Figures
• Tables

Biology Articles » Agriculture » Plant Production » Simulating genotypic variation of fruit quality in an advanced peachxPrunus davidiana cross » Figures

Figures

- Simulating genotypic variation of fruit quality in an advanced peachxPrunus davidiana cross

Fig. 1. Dry (A) and fresh (B) masses of fruits throughout fruit growth (days after bloom) for 9 BC₂ contrasted genotypes. Filled circles denote the observed values of various fruits of one genotype (StPBC₂02 dataset). The line shows the mean value predicted by the model for each genotype.

Fig. 2. Predicted values at maturity plotted against corresponding observed values for dry and fresh fruit masses, stone fresh mass, flesh dry matter content, total sugar amount as carbon in flesh, and total sugar concentration. First line of graphs (1) correspond to data from StPBC₂02, the second (2) to the StPBC₂01 dataset, the third (3) to the GothBC₂02, and last (4) to StP00. Accordingly, the first line of graphs was used to check the goodness-of-fit of the model and the other three lines to test its predictive quality. Each point of the graphs from lines 1 to 3 represent an averaged value for one genotype. On the graphs of line 4, open diamonds stand for S replications and filled diamonds for P1908 replications, both fruit loads mixed. The Spearman correlation coefficient is indicated on the upper left-hand corner of the corresponding plot.