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Selecting the High-Yield Subpopulation for Diagnosing Nutrient Imbalance in Crops

^a Dep. of Soil Sci. and Agri-Food Eng., Laval Univ., Paul-Comtois Building, Sainte-Foy, QC, Canada G1K 7P4
^b Hortic. Res. and Dev. Cent., 430 Gouin Blvd., St-Jean-sur-Richelieu, QC, Canada J3B 3E6

View larger version (11K): [in a new window]   Fig. 1. Theoretical relationship between yield and the cumulative variance ratio function, FCi (VX), for a given row-centered log ratio.

View larger version (19K): [in a new window]   Fig. 2. Equations relating ear yield to the cumulative variance ratio function in S2 for computing yield cutoff between low- and high-yield subpopulations at inflection point.

View larger version (17K): [in a new window]   Fig. 3. The chi-square cumulative distribution functions with 3 df to obtain theoretical threshold Compositional Nutrient Diagnosis (CND) r2 values in S2 (1.5) for yield cutoff at 67.5% of low-yield subpopulation.

View larger version (12K): [in a new window]   Fig. 4. Relationship between nutrient imbalance index, r2, and ear yield in S2.