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Spatial Variability of Tugbok Clay Loam in a Coconut-Based Farming System (CBFS) in Davao City, Philippines L. H. Canja; E. P. Paningbatan, Jr.; R. A. Comia; W. C. Cosico; A. J. Alcantara
International Coconut Community Journal Vol 25 No 1 (2009): CORD
Publisher : International Coconut Community

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37833/cord.v25i1.545

Abstract

The spatial distributions of soil physico-chemical properties were evaluated using variogram and kriging. Kriging as an interpolation technique that used variogram model of observed values was employed to determine values of a soil property at unsampled locations of the study area. Spatial variability map was then generated from the ‘kriged’ data points. Spatial variability analysis using variogram of soil properties showed spatial patterns of various levels. Spatial dependence appeared moderate for soil pH and total K in the topsoil (0-15 cm) and in subsoil (15-30 cm), weak for Bray P in the topsoil but strong for bulk density and organic matter and depth of the topsoil. Spatial variability maps of soil properties showed that the area is strongly acidic, low in organic matter and Bray P, high in total K with low bulk density values at 1.2 to 1.29 (g cm-3) and medium depth topsoil. Spatial variability maps generated by kriging are expected to provide information in precision agriculture in order to make better management decisions, reduce chemical and fertilizer costs through more efficient application, provide more accurate farm records, improve crop yield, and reduce agro-chemical pollution. Precision agriculture relies on the existence of in-field variability.
Spatial Variability of Tugbok Clay Loam in a Coconut-Based Farming System (CBFS) in Davao City, Philippines L. H. Canja; E. P. Paningbatan, Jr.; R. A. Comia; W. C. Cosico; A. J. Alcantara
International Coconut Community Journal Vol 25 No 1 (2009): CORD
Publisher : International Coconut Community

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37833/cord.v25i1.545

Abstract

The spatial distributions of soil physico-chemical properties were evaluated using variogram and kriging. Kriging as an interpolation technique that used variogram model of observed values was employed to determine values of a soil property at unsampled locations of the study area. Spatial variability map was then generated from the ‘kriged’ data points. Spatial variability analysis using variogram of soil properties showed spatial patterns of various levels. Spatial dependence appeared moderate for soil pH and total K in the topsoil (0-15 cm) and in subsoil (15-30 cm), weak for Bray P in the topsoil but strong for bulk density and organic matter and depth of the topsoil. Spatial variability maps of soil properties showed that the area is strongly acidic, low in organic matter and Bray P, high in total K with low bulk density values at 1.2 to 1.29 (g cm-3) and medium depth topsoil. Spatial variability maps generated by kriging are expected to provide information in precision agriculture in order to make better management decisions, reduce chemical and fertilizer costs through more efficient application, provide more accurate farm records, improve crop yield, and reduce agro-chemical pollution. Precision agriculture relies on the existence of in-field variability.
Long-Term Coconut Leaf Pruning (CLP) Effects on CBFS: Coconut-Coffee Agroecosystem L. H. Canja; S. S. Magat; R. Z. Margate
International Coconut Community Journal Vol 19 No 02 (2003): CORD
Publisher : International Coconut Community

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37833/cord.v19i02.374

Abstract

A long-term study on the response of ‘Laguna’ tall (LAGT) palms and coffee intercrop to coconut leaf pruning (CLP) was conducted at the PCA-Davao Research Center from 1993 to 2001 to determine the effect of coconut leaf pruning on the productivity of coconut + coffee cropping system. The coconut leaf pruning technique did not significantly affect the yield and nutrition of coconut in all the years of observation. However, lower number of nut and weight of copra per tree were observed on palms with CLP than those without CLP, but with a slight improvement in copra weight per nut. Likewise, CLP did not affect the coffee yield and leaf nutrient levels. Among the coffee varieties tested, the Excelsa had the highest green bean yield. The Robusta (Ivory Coast and Philippine strains) and Arabica had similar yield and crop nutritional status. While they had similar leaf N, K and B contents that were higher than that of Excelsa, they also had lower leaf levels of Ca, Cl and S. Coffee needs, 1,000-3,000 foot-candles of sunlight, which is within the available light transmission (1,750-4,050 foot-candles) under palms with and without CLP. Hence, CLP is not necessary anymore in coconut with coffee intercrop.