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Reassessing the estimation of leaf area in oil palm (Elaeis guineensis Jacq.) by linear regression equation

Published online by Cambridge University Press:  11 January 2021

Cornelis Jan Breure*
Affiliation:
PT. ASD-Bakrie Oil Palm Seed Indonesia, North Sumatra, Indonesia
M. Mustiqa Siregar
Affiliation:
PT. ASD-Bakrie Oil Palm Seed Indonesia, North Sumatra, Indonesia
*
*Corresponding author. Email: [email protected]

Abstract

The area of individual leaves in oil palm has been conventionally estimated from a regression equation that is based on the size and number of leaflets. The aim of the present study is to verify the accuracy of this equation, which became standard in oil palm research. Therefore, true leaf area, measured with a video camera, was estimated from the product of number of leaflets per leaf (n) with mean length (l) times mid-width (w) of six of the longest leaflets (nlw). The database was assembled, annually for the first 4 years after planting, from 2961 leaves of dura × pisifera testcrosses descending from six distinct pisifera origins. The regression coefficients of the regression lines of nlw plotted against true area did not show a trend with age of the palms or a difference among pisifera origins. The common regression equation fitted through all data of this study accurately estimated true leaf area of the testcrosses and also the areas of 2- to 3.5-year-old dura palms of three distinct origins as well as 18-year-old tenera palms. These outcomes are at odds with the conventional regression equation that overestimates the true leaf areas by about 24%. A more recently-developed variant underestimates true area of the young tenera and dura palms by 28%, while overestimating true area of old tenera palms by 19%. Possible causes for these deviations from true area are discussed. The paper argues that parameters depending on leaf area of previous physiological studies need to be reassessed.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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Footnotes

Present address: PT. ASD-Bakrie Oil Palm Seed Indonesia, Jl. Besar Air Joman Pasar IX Desa Subur Kecamatan Air Joman, Kisaran 21264. North Sumatera, Indonesia.

References

Alvarado, A. and Henry, J. (2015). Evolution Blue: A new oil palm variety with reduced growth and high oil content. ASD Oil Palm Papers 45, 3547.Google Scholar
Breure, C.J. (1985). Relevant factors associated with crown expansion in oil palm (Elaeis guineensis Jacq.). Euphytica 34, 161175.CrossRefGoogle Scholar
Breure, C.J. (1988). The effect of palm age and planting density on the partitioning of assimilates in oil palm (Elaeis guineensis Jacq.). Experimental Agriculture 24, 5366.CrossRefGoogle Scholar
Breure, C.J. (2010). Rate of leaf expansion: a criterion for identifying oil palm (Elaeis guineensis Jacq.) types suitable for planting at higher densities. NJAS – Wageningen Journal of Life Sciences 57, 141147.CrossRefGoogle Scholar
Breure, C.J. and Siregar, M.M. (2020). Selection of oil palm male parents for optimal planting density estimated from mature crown size. Journal of Oil Palm Research 32(2), 191200.Google Scholar
Breure, C.J. and Verdooren, L.R. (1995). Guidelines for testing and selecting parent palms in oil palm. Practical aspects and statistical methods. ASD Oil Palm Papers 9, 168.Google Scholar
Corley, R.H.V. and Tinker, P.B. (2016). The Oil Palm, 5th Edn, Oxford: Willey Blackwel.Google Scholar
Hardon, J.J., Williams, C.N. and Watson, I. (1969). Leaf area and yield in the oil palm in Malaysia. Experimental Agriculture 5, 2532.CrossRefGoogle Scholar
Henson, I.E. (1993). Assessing frond dry matter production and leaf area development in young oil palms. In Rajanaidu, Y. Tayeb, Dolmat, Cheach, Suan Choo, Paranjothy, K., Jalani, Sukaimi and Chang, Kwong Chong (eds), Proceedings. 1991 PORIM International. Palm Oil Conference, Agriculture. Kuala Lumpur: Palm Oil Research Institute of Malaysia, pp. 473478.Google Scholar
Henson, I.E. and Dolmat, T.M. (2003). Physiological analysis of an oil palm density trial on a peat soil. Journal of Oil Palm Research 15, 127.Google Scholar
Mayes, S., Soh, A.C. and Roberts, J. (2017). Genetic base of current breeding programs. In Soh, AC., Mayes, S. and Jeremy, R. (eds), Oil Palm Breeding - Genetic and Genomics. London: CRC Press Taylor & Francis Group, pp. 2427.Google Scholar
Mendham, N.J. (1971). Note on leaf area measurements in oil palm. Papua New Guinea Agricultural Journal 22, 230231.Google Scholar
Richardson, D.L. and Chavez, C. (1986). Oil palm germplasm of Tanzanian origin. Turrialba 36, 493498.Google Scholar
Squire, G.R. (1983). Solar energy and productivity in oil palm. In Annual Research Report of the Palm Oil Research Institute of Malaysia. Kuala Lumpur: PORIM, pp. 149156.Google Scholar
Sterling, F., Richardson, D.L. and Chavez, C. (1988). Some phenotypic characteristics of the descendants of QB049, an exceptional hybrid of oil palm. In Proceedings 1987 Oil Palm Conference. Progress and Prospects. Kuala Lumpur: Palm Oil Research Institute of Malaysia, pp. 135146.Google Scholar
Tailliez, B. and Ballo Koffi, C. (1992). A method for measuring oil palm leaf area. Oleagineux 47, 537545.Google Scholar
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