Application Of Spatial Modeling To The Study Of Soil Fertility Pattern

Spatial statistical analysis was undertaken to study the variability of potatornyield data due to soil fertility pattern. Seed potato yield were measured fromrnfield uniformity trial conducted at Hollota and Kulumsa agricultural researchrncenters in year 2001 on an area of 0.15 hectare at each site. The harvestedrnarea was divided in to basic units of 1.2x1.5 m and a total of 1658 and 931rnplots were considered from Hollota and Kulumsa respectively. The basicrnunits were combined in different plot sizes to acquire the required plotrndimension.rnIn this study, the Monte Carlo test for completely spatial randomness isrnapplied and the result shows no complete spatial randomness detected in thernseries of potato yield data for both sites.rnThus, to set a model adjusted for spatial pattern, Moran’s index and Geary’srncoefficient were applied to test for global and local spatial autocorrelationrnrespectively. The result shows posit ive spatial autocorrelation detectedrnamong potato yield data using Rook’s weighted neighboring plot relations.rnThe result also shows, increasing plot size will not generally make thernobserved spatial autocorrelation insignificant.rnAn autoregressive model, that is adjusted for presence of spatialrnautocorrelation in simulated plot size of 12m2 is fitted for row and columnrneffect for each site. The result shows significant positive associationrnbetween neighboring plots row effect and the adjusted potato yield. Inrnaddition, the result from comparison of model adjusted for presence of spatialrnautocorrelation and conventional OLS based analysis of variance shows thernautocorrelation parameter accounts significant percent of variation amongrnpotato yield in both sites

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