Poster Number 1148
See more from this Division: S08 Nutrient Management & Soil & Plant AnalysisSee more from this Session: Soil Testing and Plant Analysis
Monday, November 1, 2010
Long Beach Convention Center, Exhibit Hall BC, Lower Level
Efficient management of P in crop production requires tools to quantify the plant P status. The relationship between P and N concentrations in shoot biomass has been proposed to quantify the level of P nutrition in corn (Zea mays L.) but this relationship has not been examined at the single leaf level. Our objectives were to establish the relationship between P and N concentrations in the uppermost collared leaf expressed either on the basis of dry matter (DM) or leaf area (PA and NA) and, in particular, to determine the critical leaf P concentration required to diagnose P deficiencies in grain corn production. Four to six N fertilization rates were used at eight site-years in eastern Canada. Leaf P and N concentrations expressed either on a DM or leaf area basis were measured on six to eight sampling dates at weekly intervals using six leaf disks (0.71-cm2) from the uppermost collared leaf of 10 to 20 individual plants per plot. Both leaf P and N concentrations decreased with time and they both responded to N fertilization, suggesting that they are closely related. The relationship between leaf P and N concentrations, including data from all sampling dates and sites-years, was described by a linear-plateau function (P = 0.82 + 0.089N if N ≤ 32.1 and P = 3.7 if N > 32.1 with P and N in mg g-1 DM; R2 = 0.41). The relationship, however, was better described when both elements were expressed per unit of leaf area (PA = 0.003 + 0.082NA with PA and NA in mg cm-2 leaf; R2 = 0.52). These relationships provide a predictive model for critical P concentration in the uppermost collared leaf of corn that can then be used to quantify the degree of P deficiency during the growing season.
See more from this Division: S08 Nutrient Management & Soil & Plant AnalysisSee more from this Session: Soil Testing and Plant Analysis