Spatial Variability of Oil Palm Leaf Nutrients and Yield
In recent times, among the major problems in oil palm plantation is the lack of proper interpretation of yield maps for site-specific management, the identification, and understanding of the causal factors influencing the variability of oil palm yields. The ability to find and comprehend the leaf...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/6158/1/FK_2006_73.pdf |
| _version_ | 1825943998738464768 |
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| author | Mohd Junusi, Riduan |
| author_facet | Mohd Junusi, Riduan |
| author_sort | Mohd Junusi, Riduan |
| collection | UPM |
| description | In recent times, among the major problems in oil palm plantation is the lack
of proper interpretation of yield maps for site-specific management, the
identification, and understanding of the causal factors influencing the
variability of oil palm yields. The ability to find and comprehend the leaf
factors influencing yield variability of oil palm will help in managing the
plantation efficiently for better yield. The study of Spatial Varibility of Oil Palm
Leaf Nutrients and Yield was carried out at Dusun Durian Estate, Golden
Hope Plantations Berhad, Banting, Selangor, in a 15 ha plot which was a
coastal oil palm plantation. The objective of this study was to obtain accurate
and timely information about the spatial distribution and status of nutrients in
the leaf tissue using Geographic Information System (GIs) for precision
farming of oil palm plantation. Collection of leaf tissue data were conducted
using systematic sampling and an AgGPS Trimble was used to precisely determine the sampling locations. Geostatistics (GS+) software and
classical statistics were used for data analysis. Leaf nutrient analysis
illustrated that the leaf nutrient variability of N, P, K, Ca and Mg from year
2000 to 2003 could be classified as low whereas coefficient of variation (CV)
values of 2.0 to 2.2, 1.9 to 3.0 and 1.9 to 5.3, 5.7 to 7.4 and 6.6 to 7.4
respectively. Based on the semivariance analysis, leaves nutrients have a
moderately spatial dependence with the lag distances of 31 1 to 314 m, 161
to 249 m, 185 to 311 m and 169 to 314 m for N, P, K and Ca, respectively.
Meanwhile, Mg have a strong spatial dependence (S) with the lag distance is
94 to 183 m. The variability of fresh fruit bunch (ffb) is moderate and is
moderately spatial dependence with the lag distance of 310 to 314 m. There
is a strong relationship between FFB yield, N and P in leaf tissue. This result
implies that N and P in leaf tissue can be used to determine the FFB yields. |
| first_indexed | 2024-03-06T07:09:05Z |
| format | Thesis |
| id | upm.eprints-6158 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T07:09:05Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | upm.eprints-61582023-10-12T02:41:52Z http://psasir.upm.edu.my/id/eprint/6158/ Spatial Variability of Oil Palm Leaf Nutrients and Yield Mohd Junusi, Riduan In recent times, among the major problems in oil palm plantation is the lack of proper interpretation of yield maps for site-specific management, the identification, and understanding of the causal factors influencing the variability of oil palm yields. The ability to find and comprehend the leaf factors influencing yield variability of oil palm will help in managing the plantation efficiently for better yield. The study of Spatial Varibility of Oil Palm Leaf Nutrients and Yield was carried out at Dusun Durian Estate, Golden Hope Plantations Berhad, Banting, Selangor, in a 15 ha plot which was a coastal oil palm plantation. The objective of this study was to obtain accurate and timely information about the spatial distribution and status of nutrients in the leaf tissue using Geographic Information System (GIs) for precision farming of oil palm plantation. Collection of leaf tissue data were conducted using systematic sampling and an AgGPS Trimble was used to precisely determine the sampling locations. Geostatistics (GS+) software and classical statistics were used for data analysis. Leaf nutrient analysis illustrated that the leaf nutrient variability of N, P, K, Ca and Mg from year 2000 to 2003 could be classified as low whereas coefficient of variation (CV) values of 2.0 to 2.2, 1.9 to 3.0 and 1.9 to 5.3, 5.7 to 7.4 and 6.6 to 7.4 respectively. Based on the semivariance analysis, leaves nutrients have a moderately spatial dependence with the lag distances of 31 1 to 314 m, 161 to 249 m, 185 to 311 m and 169 to 314 m for N, P, K and Ca, respectively. Meanwhile, Mg have a strong spatial dependence (S) with the lag distance is 94 to 183 m. The variability of fresh fruit bunch (ffb) is moderate and is moderately spatial dependence with the lag distance of 310 to 314 m. There is a strong relationship between FFB yield, N and P in leaf tissue. This result implies that N and P in leaf tissue can be used to determine the FFB yields. 2006-07 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/6158/1/FK_2006_73.pdf Mohd Junusi, Riduan (2006) Spatial Variability of Oil Palm Leaf Nutrients and Yield. Masters thesis, Universiti Putra Malaysia. Palm oil industry Spatial behavior English |
| spellingShingle | Palm oil industry Spatial behavior Mohd Junusi, Riduan Spatial Variability of Oil Palm Leaf Nutrients and Yield |
| title | Spatial Variability of Oil Palm Leaf Nutrients and Yield |
| title_full | Spatial Variability of Oil Palm Leaf Nutrients and Yield |
| title_fullStr | Spatial Variability of Oil Palm Leaf Nutrients and Yield |
| title_full_unstemmed | Spatial Variability of Oil Palm Leaf Nutrients and Yield |
| title_short | Spatial Variability of Oil Palm Leaf Nutrients and Yield |
| title_sort | spatial variability of oil palm leaf nutrients and yield |
| topic | Palm oil industry Spatial behavior |
| url | http://psasir.upm.edu.my/id/eprint/6158/1/FK_2006_73.pdf |
| work_keys_str_mv | AT mohdjunusiriduan spatialvariabilityofoilpalmleafnutrientsandyield |