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Pros Khok,Kyoungyoung Kim,Yong gook Kim,Park Jee won,Gwang Hyun Han 한국토양비료학회 2021 한국토양비료학회 학술발표회 초록집 Vol.2021 No.11
Soil properties vary spatially at all level of observation within a field to a larger regional scale and the causes of the variation can be both natural and anthropogenic factors. Knowledge of spatial variability in soil properties is important for effective nutrient management plan in crop production. One integrated test by compiling several soil properties together may provide growers with one number that represents as overall spatial variabilities. Therefore, understanding the functional relationship between soil properties is necessary. The objective of the study was to characterize a soil indicator that can be used to estimate the overall spatial variability of selected soil properties in orchard farming systems. We have selected and analyzed eight soil chemical parameters, including pH, EC, SOC, available N, available P, and exchangeable cations such as K, Ca, and Mg of the individual 126 soil samples collected randomly from 42 orchard farms across Chungcheong province. The median of each soil parameters was similar or lower than the mean, which indicates that the effects of abnormality on sampling value were not high. Coefficient of variation (CV) indicated that soil parameters except pH varied from medium to high in heterogeneity (CV > 20%). Available P had the most variability (MRD = 31.8) and soil pH had the least variability (MDR = 0.89) among of all soil properties. Apparently, the dynamic interrelations were observed between soil properties and the higher amount of statistical significant correlations (p ≤ 0.05 and p ≤ 0.01) belong to available P, and all of exchangeable cations, respectively. We confirmed these apparent correlations using discrete binning method and regression. Result showed that the higher amount of statistical significant correlation belong available P, so we concluded that available P is a major soil indicator can be used to predict the spatial variability of all selected soil parameters in this study. The high significant relationship were found between available P and all of selected soil chemical properties in orchard farming systems of Chungcheong province, suggesting that the large spatial variability was associated with the application of inorganic, organic, and animal by-product fertilizers. Data binning is a wide diverse analysis tool for indicating the relationship of soil properties with high spatial variability.
Spatial Variability of Chemical Properties in Orchard Soils in Chungcheong Province
Khok Pros, Eunjin Lee, Hyesol Boo, Yehun Lee, and Gwang Hyun Han 忠北大學校 農業科學硏究所 2015 農業科學硏究 Vol.31 No.2
Soil chemical properties can show a high degree of spatial variability by both inherent soil forming factors and land use activities. In assessing soil quality on a regional scale, this spatial variability must be quantified for understanding the effects of management practices on soils. For assessing spatial variability in soil chemical properties, we have analyzed pH, EC, and available P in soils collected from 42 different orchard farms in Chungcheong province, Korea. A high degree of spatial variability was found from county to county and from field to field in a county. The spatial distribution pattern differed among the soil properties. However, relatively higher variability was observed in available P than pH and EC. Due to the high spatial variability, we used a bin averaging method to investigate regional correlations among the soil properties. Most significant relationships were found between EC and available P and between EC and pH, respectively, suggesting that the large spatial variability was associated with the application of inorganic or organic fertilizers