With the support of geostatistics and GIS, this study investigated the spatial variability of water-soluble total sugar content and soil fertility factor in a flue-cured tobacco producing area in central Henan Province, with the semi-variance function. The best unbiased linear interpolation was performed by the ordinary Krings method. The result indicated that the average water-soluble total sugar content in flue-cured tobacco leaves from the research regions was 23.82%, with a growing distribution trend from southeast to northwest. The amount of water-soluble sugar in this region’s tobacco leaf was consistent with the exponential model, accompanied by an auto-correlation distance of 39600m. The C0 /C0+C of the semi-variance variogram was 0.16, and the spatial variability was mainly influenced by structural factors. Among the soil fertility factors, total phosphorus, available nitrogen, and available potassium had moderate spatial variability, while soil pH, cation exchange capacity, and organic matter content showed weak spatial variability. The water-soluble total sugar content of tobacco leaves in this area was highly positively correlated with soil pH cation exchange capacity and available potassium, but it had an exceedingly negative correlation with soil available phosphorus, according to the correlation analysis. The findings of this study can provide a basis for the precise fertilizer application in this tobacco-growing area.
Spatial assessment of Nicotine of flue-cured tobacco leaves is essential for agricultural management. This study was conducted to quantity the spatial variability of nicotine of flue-cured tobacco leaves and soil fertility factors in tobacco planting fields in Central Henan province. Geostatistics method, with geographic information system (GIS),was applied to conducted this study. The Analysis of the isotropic variogram indicated that the contents of nicotine in flue-cured tobacco leaves in the study regions are well described with exponential model, which are mainly induced by structure factors. The semivariogram for soil O.M, available P and available k were best fitted by Spherical models, while soil pH was best fitted by Gaussian model, soil CEC was best fitted by Exponential model, soil available N was best fitted by Linear model. The nugget/ sill ratio indicates a strong spatial dependence for soil pH and CEC, moderate spatial dependence for available P and available k, weak spatial dependence for available N. Correlation matrix of soil nutrients and nicotine in tobacco leaves reveal that there are extremely significant positive correlation between nicotine in tobacco leaves and soil pH and organic matter. There are significant positive correlation between nicotine in tobacco leaves and soil available N. The maps generated by ordinary kriging also revealed the distribution of nicotine in tobacco leaves and soil fertility factors in the study regions, which provided the basis for precise fertilization.
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