사과나무의 영양진단을 위한 비파괴 측정법의 활용
Diagnosis of nutrient condition on apple tree using nondestructive determination
과수재배 사과나무 영양진단;
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The life cycle of plant is strongly influenced by a supply of nutrients for growth and development. For the productivity and growth of plants needs diagnosis of nutrient condition because the plant is limited primarily by nutrient deficits or nutrient excesses. The chemical analysis for diagnosis of nutrient condition is time-consuming and expensive money, whereas near infrared reflectance spectroscopy(NIRS) offers a less labor intensive approach. The main focus of article is to produce calibration equations between near infrared reflectance(NIR) spectra and concentrations of nitrogen, phosphorus, magnesium, calcium in 'Fuji'apple tree. We carried out to determine the rapid diagnosis of nutrient condition in apple leaves using NIRS. Near infrared reflectance spectroscopy(NIRS) of apple leaves were obtained by InfraAlyzer 500 scanning spectrophotometer at 2nm intervals from 1100 to 2500nm. The results summarized as follows. 1. Dry samples(May 20 in 2003) were determined by the PLSR(Partial Least Squares Regression) method and results of calibration were R : 0.966, RMSEP : 0.045% for T-N, R : 0.838, RMSEP : 0.046% for P_(2)O_(5), R : 0.865, RMSEP : 0.239% for K_(2)O, R : 0.890, RMSEP : 0.159% for CaO, R : 0.859, RMSEP : 0.021% for MgO. Dry samples were showed high accuracy in the prediction of NIRS. 2. Calibration for this sample was compared with other sample collected in a different period. The results of determined NIRS appeared to low relationship between A samples(May 20 in 2003) and B samples (August 9 in 2003) in Daegu. therefore, we made of universal calibration obtained by grouping with two samples(A & B) in a different period. Although, individual calibration is much more accurate than universal calibration, but universal calibration considering factors such as samples of apple leaves in different periods was more stable and accurate. 3. Green samples were determined by the PLSR method and results of calibration were R : 0.950, RMSEP : 0.047% for T-N, R : 0.803, RMSEP : 0.060% for P_(2)O_(5), R : 0.838, RMSEP : 0.166% for K_(2)O, R : 0.863, RMSEP : 0.274% for CaO, R : 0.856, RMSEP : 0.023% for MgO. It was showed good accuracy in the prediction of NIRS. 4. For the future, if we can develop using NIR advantages such as rapidly, ease of use, no sample preparation and low operator skill, we can be reduced the pollution by chemical analysis and time consuming, expensive cost for chemical reagents. Also this results showed possibility of diagnosis of nutrient condition on apple tree using non-destructive determination. Not only dry leaf but also fresh leaf can be possible diagnosis of nutrient condition on apple tree using NIR spectroscopy.