I would start with PCA & cluster analysis using nutritional profile data and the same with agronomic data. If you want to combine both sets of data then other methods can be used depending on the type of these data. If both sets of data are continuous then do PCA & cluster analysis otherwise regression tree & random forest modelling may be an option...