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Improving the methodology for root biomass estimation in monocotyledonous tree plantations: case of oil palm (Elaeis guineensis. Jacq) in West Africa

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Abstract

Background and aims

Root biomass is one of the most widely used parameters to characterise root growth and belowground carbon stock. Our aim was to define a standard method to estimate the root biomass of young and adult oil palm trees in commercial plantations.

Methods

Three methods based on the sampling excavation volume were compared using the same sampled tree. Work time and the number of workers required for each operation were recorded. We compared two large excavation volumes based on Voronoi tessellation and the standard root auger coring method in one 2-year-old and one 16-year-old commercial oil-palm plantation in Benin, West Africa.

Results

Oil palm total root biomass was estimated at 0.84 and 22.23 Mg ha−1 in the 2-year-old and 16-year-old plantation, respectively. Compared to the reference method, the simplified Voronoi trench method estimated slightly higher (+5%) and lower (−17%) total root biomass with no significant differences but required 2 and 3 times more labour time, respectively, while the auger method estimated significantly lower (−23% and − 53%) total root biomass in the 2-year-old and 16-year-old plantation, respectively. Coarse and fine root biomass were significantly higher under the windrow than under the footpath zones.

Conclusion

The simplified Voronoi trench method required twice as much labour time as the auger method but was most efficient way to estimate oil palm total root biomass, irrespective of the age of the plantation.

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Acknowledgements

Authors are grateful to INRAB and CIRAD for providing financial support for this study. The authors warmly thank the technical staff of the Ecophysiology laboratory of CRAPP for their help particularly with root sampling in the field and processing in the lab. We thank Daphne Goodfellow for correcting the English and the two anonymous reviewers for their insightful comments and suggestions on how to improve our manuscript.

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Authors and Affiliations

  1. CRA-PP/INRAB, Centre de Recherches Agricoles Plantes Pérennes de l’Institut National de Recherches Agricoles du Bénin, BP 01, Pobè, Benin

    Olivier Dassou, Léifi Nodichao, Hervé Aholoukpè & Yves Cakpo

  2. Department of Plants and Crops, Laboratory of Tropical and Subtropical Agriculture, and Ethnobotany, Ghent University, Campus Coupure, Ghent, Belgium

    Olivier Dassou

  3. CIRAD, UMR Eco&Sols, F-34398, Montpellier, France

    Christophe Jourdan

  4. Eco&Sols, CIRAD, INRAE, IRD, Institut Agro, Univ Montpellier, Montpellier, France

    Christophe Jourdan

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  1. Olivier Dassou
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  2. Léifi Nodichao
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  3. Hervé Aholoukpè
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  4. Yves Cakpo
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Correspondence to Christophe Jourdan.

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Dassou, O., Nodichao, L., Aholoukpè, H. et al. Improving the methodology for root biomass estimation in monocotyledonous tree plantations: case of oil palm (Elaeis guineensis. Jacq) in West Africa. Plant Soil 465, 593–611 (2021). https://doi.org/10.1007/s11104-021-04939-4

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