Early impact of oil palm planting density on vegetative and oil yield variables in West Africa

Bonneau, Xavier; Vandessel, Pieter; Buabeng, Maxwell; Erhahuyi, Charles

doi:10.1051/ocl/2014009

Cited by 11 publications

(11 citation statements)

References 4 publications

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“…While the high densities were still largely ahead in terms of cumulative yield at the end of the eighth year (Bonneau et al, 2014), they fell back considerably between the ninth and twelfth years after planting. The competition effect increased due to the regular rise in vegetative bulk.…”

Section: Resultsmentioning

confidence: 98%

“…These were described in detail in the earlier article (Bonneau et al, 2014). As the same palms were involved, in the same place and in the same experimental design, only a brief reminder will be given again here.…”

Section: Methodsmentioning

confidence: 99%

“…In an earlier article (Bonneau et al, 2014), we described how the planting density affected oil palm yields in the first eight years after planting. Since then, we have recorded the results of four more seasons at the adult age (9 to 12 years).…”

Section: Introductionmentioning

confidence: 99%

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Optimum oil palm planting density in West Africa

Bonneau

Impens²,

Buabeng³

2018

OCL

Self Cite

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This article follows on from an earlier one about the same experiment in 2014. A range of various planting distances (from 7.5 to 9.5 metres) between oil palms was tested using an equilateral triangle design. The current planting density experiment was set up in an oil palm plantation in Nigeria. The climatic conditions are quite stable, with two seasons and around 2000 mm of annual rainfall. The soil is of the desaturated ferralitic type, sandy on the surface, deep and without coarse elements. After twelve years of continual monitoring and extrapolation of the results obtained up to the end of the cycle, we concluded on an optimum planting density of between 143 and 160 oil palms per hectare in a monospecific, equilateral triangle planting design (i.e. a distance of 8.5 to 9 metres between palms). It will take another few years of yield recording to fine-tune the result. For 12-year-old palms, this density range corresponds to a Leaf Area Index of 3.5 to 4, a light interception percentage of 89 to 90 and a foliage overlap percentage of 51 to 68. A thinning treatment was included in the protocol. Thinning at eight years has not led to any advantage after four years.

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Section: Resultsmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

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Optimum oil palm planting density in West Africa

Bonneau

Impens²,

Buabeng³

2018

OCL

Self Cite

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show abstract

“…Kelapa sawit secara komersil ditanam dengan kerapatan 120-150 tanaman per hektar (Woittiez et al, 2017). Produksi TBS (Tandan Buah Segar) per pohon tertinggi muncul ketika ditanam pada kerapatan 143 pohon/ha (Bonneau et al, 2014). Kerapatan optimal bisa didapatkan berdasarkan indeks luas daun (ILD/Leaf Area Index).…”

Section: Ikhwan Fadli Pangaribuan Yurna Yenni Sujadi Dan Edy Supriunclassified

Evaluation of Third Cycle Progeny Test for Compact Character in Iopri’s Oil Palm Breeding Program

Pangaribuan

Yenni

Sujadi

et al. 2019

J. Penelitian Kelapa Sawit

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One of the secondary characters desired by oil palm planters is compact palm. Compact characters are characterized by slow height increment rate and short rachis length. Both characters are able to extend the economic life of oil palm and increase palm productivity. This paper will discuss the results of the evaluation of compact characters in several crosses of the third cycle progeny test of RRS (Reciprocal Recurrent Selection) program. The field trial was carried out on 21 crosses planted in 2008 at Dolok Sinumbah Estate. The observations showed that cross no. BJ62/05 and BJ05/05 have the potential to produce compact palm with the slowest height increment rates, the shortest rachis, and low LAI values. With these characters, these crosses can be planted at higher planting densities. Parents no. BJ5633D and 93-133-4T also have the potential to produce offspring with compact characters.

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“…Oil palm tree density is one of the parameters used to determine if replanting is needed and affects oil palm production (Ng, 1972;Corley, 1973;Breure et al, 1990;Corley and Tinker, 2003;Huth et al, 2014;Bonneau et al, 2014). Therefore, one way to increase oil palm production has been to develop new varieties that are suitable for planting at high densities (Breure, 2010).…”

Section: Introductionmentioning

confidence: 99%

A simple method for detection and counting of oil palm trees using high-resolution multispectral satellite imagery

Santoso

Tani

Wang

2016

International Journal of Remote Sensing

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In the past, oil palm density has been determined by manually counting trees every year in oil palm plantations. The measurement of density provides important data related to palm productivity, fertilizer needed, weed control costs in a circle around each tree, labourers needed, and needs for other activities. Manual counting requires many workers and has potential problems related to accuracy. Remote sensing provides a potential approach for counting oil palm trees. The main objective of this study is to build a robust and user-friendly method that will allow oil palm managers to count oil palm trees using a remote sensing technique. The oil palm trees analysed in this study have different ages and densities. QuickBird imagery was applied with the six pansharpening methods and was compared with panchromatic QuickBird imagery. The black and white imagery from a false colour composite of pansharpening imagery was processed in three ways: (1) oil palm tree detection, (2) delineation of the oil palm area using the red band, and (3) counting oil palm trees and accuracy assessment. For oil palm detection, we used several filters that contained a Sobel edge detector; texture analysis co-occurrence; and dilate, erode, high-pass, and opening filters. The results of this study improved upon the accuracy of several previous research studies that had an accuracy of about 90-95%. The results in this study show (1) modified intensity-hue-saturation (IHS) resolution merge is suitable for 16-year-old oil palm trees and have rather high density with 100% accuracy; (2) colour normalized (Brovey) is suitable for 21-year-old oil palm trees and have low density with 99.5% accuracy; (3) subtractive resolution merge is suitable for 15- and 18-year-old oil palm trees and have a rather high density with 99.8% accuracy; (4) PC spectral sharpening with 99.3% accuracy is suitable for 10-year-old oil palm trees and have low density; and (5) for all study object conditions, colour normalized (Brovey) and wavelet resolution merge are two pansharpening methods that are suitable for oil palm tree extraction and counting with 98.9% and 98.4% accuracy, respectively

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Early impact of oil palm planting density on vegetative and oil yield variables in West Africa

Cited by 11 publications

References 4 publications

Optimum oil palm planting density in West Africa

Optimum oil palm planting density in West Africa

Evaluation of Third Cycle Progeny Test for Compact Character in Iopri’s Oil Palm Breeding Program

A simple method for detection and counting of oil palm trees using high-resolution multispectral satellite imagery

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