Spatial Variability of Orange Spotting Disease in Oil Palm

2012 ◽  
Vol 12 (4) ◽  
pp. 232-238 ◽  
Author(s):  
S. Selvaraja ◽  
S.K. Balasundra ◽  
G. Vadamalai ◽  
M.H.A. Husni
Keyword(s):  
Spatial Variability ◽  
Oil Palm

Spatial Variability of Soil Organic Carbon in Oil Palm*

2010 ◽  
Vol 5 (4) ◽  
pp. 252-262
Author(s):  
M.C. Law ◽  
S.K. Balasundra ◽  
M.H.A. Husni ◽  
O.H. Ahmed ◽  
Mohd. Hanif Haru
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Variability ◽  
Oil Palm

Spatial Variability of Soil Fertility Variables Influencing Yield in Oil Palm (Elaeis guineensis Jacq.)

2006 ◽  
Vol 5 (2) ◽  
pp. 397-408 ◽  
Author(s):  
S.K. Balasundra ◽  
P.C. Robert . ◽  
D.J. Mulla . ◽  
D.L. Allan .
Keyword(s):  
Spatial Variability ◽  
Soil Fertility ◽  
Oil Palm ◽  
Elaeis Guineensis ◽  
Elaeis Guineensis Jacq

Spatial Variability of Soil Organic Carbon in Oil Palm: A Comparison Between Young and Mature Stands

2009 ◽  
Vol 4 (12) ◽  
pp. 402-417 ◽  
Author(s):  
M.C. Law ◽  
S.K. Balasundra ◽  
M.H.A. Husni ◽  
O.H. Ahmed ◽  
Mohd. Haniff Har
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Variability ◽  
Oil Palm ◽  
Mature Stands

scholarly journals Spatial Variability of Soil Inorganic N in a Mature Oil Palm Plantation in Sabah, Malaysia

2008 ◽  
Vol 5 (9) ◽  
pp. 1239-1246 ◽  
Author(s):  
Abdul Rahim Anuar ◽  
Kah Joh Goh ◽  
Tee Bee Heoh ◽  
Osumanu Haruna Ahmed
Keyword(s):  
Spatial Variability ◽  
Oil Palm ◽  
Inorganic N ◽  
Oil Palm Plantation ◽  
Soil Inorganic N ◽  
Soil Inorganic

Tree-scale spatial variability of soil carbon cycling in a mature oil palm plantation

Soil Research ◽  
2016 ◽  
Vol 54 (4) ◽  
pp. 397 ◽  
Author(s):  
Iain Goodrick ◽  
Paul N. Nelson ◽  
Steven Nake ◽  
Michael J. Webb ◽  
Michael I. Bird ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Soil Carbon ◽  
Oil Palm ◽  
Co2 Emission ◽  
Root Biomass ◽  
Carbon Fluxes ◽  
Accurate Estimate ◽  
Soil Co2 ◽  
Soil Co2 Emission ◽  
Oil Palm Plantation

Soil carbon fluxes are highly variable in space and time under tree crops such as oil palm, and attempts to model such fluxes must incorporate an understanding of this variability. In this work, we measured soil CO2 emission, root biomass and pruned frond deposition rates and calculated carbon fluxes into and out of the soil in a mature (20-year-old, second planting cycle) oil palm plantation in Papua New Guinea. Tree-scale spatial variability in CO2 emission and root biomass was quantified by making measurements on a 35-point trapezoid grid covering the 38.5-m2 repeating unit of the plantation (n = 4 grids). In order to obtain an overall mean soil CO2 emission rate within 5% of the most accurate estimate, ≥24 measurement points were required. Soil CO2 emissions were spatially correlated with calculated carbon inputs (r2 = 0.605, slope 1 : 1), but not with soil water content or temperature. However, outputs were higher than inputs at all locations, with a mean overall output of 7.24 µmol m–2 s–1 and input of 3.02 µmol m–2 s–1. Inputs related to fronds, roots and groundcover constituted 60%, 36% and 4% of estimated inputs, respectively. The spatial correlation of carbon inputs and outputs indicates that mineralisation rate is controlled mostly by the amount rather than the nature or input depth of the additions. The spatially uniform net carbon emission from soil may be due to inaccuracies in calculated fluxes (especially root-related inputs) or to non-biological emissions.

scholarly journals Spatial variability of some soil properties varies in oil palm (<i>Elaeis guineensis</i> Jacq.) plantations of west coastal area of India

Solid Earth ◽  
2016 ◽  
Vol 7 (3) ◽  
pp. 979-993 ◽  
Author(s):  
Sanjib Kumar Behera ◽  
Kancherla Suresh ◽  
Bezawada Narsimha Rao ◽  
Ravi Kumar Mathur ◽  
Arvind Kumar Shukla ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Oil Palm ◽  
Coastal Area ◽  
Elaeis Guineensis ◽  
Water Soluble ◽  
Hot Water ◽  
Available P ◽  
Management Options ◽  
Soil Layers

Abstract. Mapping spatial variability of soil properties is the key to efficient soil resource management for sustainable crop yield. Therefore, the present study was conducted to assess the spatial variability of soil properties such as acidity (pH), salinity (electrical conductivity (EC)), organic carbon, available K, available P, exchangeable Ca2+, exchangeable Mg2+, available S and hot water soluble B in surface (0–20 cm) and subsurface (20–40 cm) soil layers of oil palm plantations in south Goa district of Goa located in west coastal area of India. A total of 128 soil samples were collected from 64 oil palm plantations of Goa located at an approximate interval of 1–2 km and analyzed. Soil was acidic to neutral in reaction. Other soil properties varied widely in both the soil layers. Correlations between soil pH and exchangeable Ca2+, between soil EC and available K, between available P and available S and between exchangeable Ca2+ and exchangeable Mg2+ in both the soil layers were found to be positive and significant (P < 0.01). Geostatistical analysis revealed a varied spatial distribution pattern for the measured soil properties. Best-fit models for measured soil properties were exponential, Gaussian, stable, K-Bessel and spherical with moderate to strong spatial dependency. The results revealed that site-specific fertilizer management options needed to be adopted in the oil palm plantations of the study area owing to variability in soil properties.

Accounting for Spatial Variability in a Short-Term Fertilizer Trial for Oil Palm

2006 ◽  
Vol 1 (3) ◽  
pp. 184-195 ◽  
Author(s):  
S.K. Balasundra ◽  
D.J. Mulla ◽  
P.C. Robert ◽  
D.L. Allan
Keyword(s):  
Spatial Variability ◽  
Oil Palm ◽  
Short Term
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